1
|
Evans R, Christiansen P, Bateson M, Nettle D, Keenan GS, Hardman CA. Understanding the association between household food insecurity and diet quality: The role of psychological distress, food choice motives and meal patterning. Appetite 2025; 212:108007. [PMID: 40228607 DOI: 10.1016/j.appet.2025.108007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Revised: 03/13/2025] [Accepted: 04/05/2025] [Indexed: 04/16/2025]
Abstract
Household food insecurity - a lack of reliable access to food that is safe, nutritious, and sufficient for normal growth - is associated with physical and mental ill-health. In the UK and many countries worldwide, food insecurity has been exacerbated by the cost-of-living crisis and is a major public health concern. To identify potential points of intervention, it is important to understand how food insecurity is associated with individual-level factors, including behaviours and motivations towards food. This study therefore examined the associations between household food insecurity (HHFI), psychological distress, motives underlying food choices and meal patterning behaviours in a sample of UK adults (N = 594, mean age = 40.6 years, 96 % female). Key variables were quantified using questionnaires and structural equation modelling was used to determine the associations between them. HHFI was directly associated with higher food choice motives based on price, but not directly with other food choice motives. HHFI was indirectly associated with poorer diet quality via price motives. There were also significant serial indirect associations between HHFI and diet quality via distress and food choice motives. Specifically, HHFI was associated with greater distress, which in turn was associated with higher convenience motives and lower health motives, which were then both associated with poorer diet quality. Exploratory analyses indicated that HHFI was directly associated with lower meal frequency, and this in turn was associated with poorer diet quality. Findings demonstrate how experiences of general psychological distress, certain food choice motives, and meal frequency may play a role in the relationship between food insecurity and diet quality.
Collapse
Affiliation(s)
- Rebecca Evans
- Department of Psychology, University of Liverpool, L69 7ZA, UK.
| | | | | | - Daniel Nettle
- Institut Jean Nicod, Département D'Etudes Cognitives, Ecole Normale Supérieure, Université PSL, EHESS, CNRS, 75005, Paris, France; Department of Social Work, Education and Community Wellbeing, Northumbria University, Newcastle Upon Tyne, NE7 7XA, UK
| | - Gregory S Keenan
- Department of Psychology, Liverpool John Moores University, L33AF, UK
| | | |
Collapse
|
2
|
Boncyk M, Rampalli KK, Winters MN, Makkar MK, Nanema S, Amevinya GS, Laar A, Frongillo EA, Blake CE. What, when, and how food and beverage are advertised on Ghanian television. PLoS One 2025; 20:e0325730. [PMID: 40489504 DOI: 10.1371/journal.pone.0325730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2024] [Accepted: 05/16/2025] [Indexed: 06/11/2025] Open
Abstract
Food marketing has increased volume, precision, and reach to influence viewers' food attitudes, beliefs, and eating behaviors. What and how much people eat has implications for health. While many countries regulate food advertising to protect consumers and encourage healthy eating, Ghana has none. Understanding the content and framing of food and beverage advertisements can inform the development of effective policies and practices that encourage healthier diets. This content analysis examines the foods and beverages advertised, their timing, and marketing techniques on Ghanaian television. From February to May 2020, 486 hours of advertisements were recorded. Advertisements with ≥1 actors were coded for food type, actor characteristics (i.e., body size, gender, age, race), and marketing techniques (i.e., promotional characters, premium offers, goal frames). A total of 607 advertisements with 2,043 actors were analyzed. Two-thirds (66.8%) promoted foods categorized as unhealthy. Sugar-sweetened beverages (22.6%) were most frequent, followed by grains high in sugar and low in fiber (13.2%), recipe additions (13.1%), and supplements (10.2%). Half (52.9%) of advertisements used persuasive marketing strategies. Most actors were classified as underweight (72.1% v. 20.5% normal weight, 7.4% overweight/obese) with a balanced gender distribution (49.1% female). Most advertisements aired during evenings (37.7%) and weekdays (69.5%). Morning advertisements promoted more healthy foods, whereas evening and night advertisements promoted more unhealthy foods. Gain goal frames were most common for healthy foods (p < 0.001), hedonic frames for unhealthy foods (p < 0.001), and normative frames showed no difference (p = 0.54). Underweight actors frequently appeared in unhealthy advertisements (68.3% v. 56.0% normal weight, 59.0% overweight/obese), whereas normal-weight (44.0%) and overweight/obese actors (41.0% v. 31.7% underweight) appeared in healthy advertisements. Persuasive marketing strategies were frequently advertised with unhealthy foods (59.9%) and overweight/obese (54.9%) and male actors (53.6%). This study highlights the need for effective policies to regulate food marketing, promoting healthier diets and realistic body expectations.
Collapse
Affiliation(s)
- Morgan Boncyk
- Department of Health Promotion, Education, and Behavior, University of South Carolina, South Carolina, United States of America
| | - Krystal K Rampalli
- Department of Health Promotion, Education, and Behavior, University of South Carolina, South Carolina, United States of America
| | - Marian N Winters
- Department of Health Promotion, Education, and Behavior, University of South Carolina, South Carolina, United States of America
| | - Muskaan K Makkar
- Department of Health Promotion, Education, and Behavior, University of South Carolina, South Carolina, United States of America
| | - Silver Nanema
- Department of Population, Family & Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana
| | - Gideon S Amevinya
- Department of Population, Family & Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana
| | - Amos Laar
- Department of Population, Family & Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana
| | - Edward A Frongillo
- Department of Health Promotion, Education, and Behavior, University of South Carolina, South Carolina, United States of America
| | - Christine E Blake
- Department of Health Promotion, Education, and Behavior, University of South Carolina, South Carolina, United States of America
| |
Collapse
|
3
|
Capoccia D, Milani I, Colangeli L, Parrotta ME, Leonetti F, Guglielmi V. Social, cultural and ethnic determinants of obesity: From pathogenesis to treatment. Nutr Metab Cardiovasc Dis 2025; 35:103901. [PMID: 40087047 DOI: 10.1016/j.numecd.2025.103901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2025] [Revised: 01/28/2025] [Accepted: 01/28/2025] [Indexed: 03/16/2025]
Abstract
AIMS Obesity is a multifactorial disease influenced by several factors including poor diet, physical inactivity, and genetic predisposition. In recent years, the social and environmental context, along with race/ethnicity and gender, have been recognized as factors influencing obesity risk beyond traditional risk factors. This review aims to increase knowledge of these causal determinants and their implications for the treatment and management of obesity, addressing not only the individual but also the societal sphere. DATA SYNTHESIS A growing body of evidence emphasizes the interaction between the physical and social environments in shaping personal behaviors related to obesity. Social disparities, such as socioeconomic status (income, education, employment), racial/ethnic differences, and gender, contribute significantly to weight gain from childhood to adulthood. These factors increase the risk of obesity and related cardiovascular risk factors, independent of clinical and demographic variables, and may lead to stigma and discrimination against those affected. CONCLUSIONS Obesity prevention solutions, from community programs to national policies, may be more effective if they address social, gender, and ethnic barriers. Understanding obesity requires a comprehensive approach that includes social, environmental, and psychological factors, as well as biological causes, to help obesity experts develop more effective interventions tailored to obesity and related diseases.
Collapse
Affiliation(s)
- Danila Capoccia
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Diabetes Unit, S.M. Goretti Hospital, Latina, Italy.
| | - Ilaria Milani
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Diabetes Unit, S.M. Goretti Hospital, Latina, Italy
| | - Luca Colangeli
- Department of Systems Medicine, University of Rome Tor Vergata, Obesity Medical Center, University Hospital Policlinico Tor Vergata, Rome, Italy
| | - Maria Eugenia Parrotta
- Department of Systems Medicine, University of Rome Tor Vergata, Obesity Medical Center, University Hospital Policlinico Tor Vergata, Rome, Italy
| | - Frida Leonetti
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Diabetes Unit, S.M. Goretti Hospital, Latina, Italy
| | - Valeria Guglielmi
- Department of Systems Medicine, University of Rome Tor Vergata, Obesity Medical Center, University Hospital Policlinico Tor Vergata, Rome, Italy
| |
Collapse
|
4
|
Almoraie NM, Alothmani NM, Alomari WD, Al-Amoudi AH. Addressing nutritional issues and eating behaviours among university students: a narrative review. Nutr Res Rev 2025; 38:53-68. [PMID: 38356364 DOI: 10.1017/s0954422424000088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Abstract
University life is a critical period for establishing healthy eating habits and attitudes. However, university students are at risk of developing poor eating habits due to various factors, including economic conditions, academic stress and lack of information about nutritional concepts. Poor diet quality leads to malnutrition or overnutrition, increasing the risk of preventable diseases. Food environments on university campuses also play a significant role in shaping the dietary habits of students, with the availability of and accessibility to healthy food options being important factors influencing food choices and overall diet quality. Disordered eating habits and body dissatisfaction are prevalent among university students and can lead to eating disorders. Income and living arrangements also influence dietary habits, with low household income and living alone being associated with unhealthy eating habits. This study is a narrative review that aimed to address nutritional issues and eating behaviours, specifically among university students. We investigated the eating behaviours of university students, including their dietary patterns, food choices and food environments. The objective of this review was to provide insights into the nutritional issues and eating behaviours of university students, with the aim of identifying target areas for intervention to improve the overall health and wellbeing among college students. University food environments need to be restructured to promote healthy eating, including the availability, accessibility, affordability and labelling of healthy foods, and policies to limit the availability of unhealthy foods and drinks on campus.
Collapse
Affiliation(s)
- Noha M Almoraie
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Noor M Alothmani
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Wajd D Alomari
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Amal H Al-Amoudi
- Department of Food and Nutrition, Faculty of Human Sciences and Design, King Abdulaziz University, Jeddah, Saudi Arabia
| |
Collapse
|
5
|
Fan Y, Zhang S, Sun X, Sun Z, Peng W, Shi L, Gou B, Wang Y. Integrated GPS-Enabled Physical Activity and Dietary Interventions Versus Physical Activity Alone for Obesity Control: A Systematic Review and Meta-Analysis. Nutrients 2025; 17:1886. [PMID: 40507155 PMCID: PMC12158101 DOI: 10.3390/nu17111886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2025] [Revised: 05/28/2025] [Accepted: 05/29/2025] [Indexed: 06/16/2025] Open
Abstract
Background: The escalating prevalence of obesity underscores the urgent need for effective and scalable interventions. Global Positioning System (GPS)-enabled technologies have emerged as promising strategies to promote physical activity (PA) and address obesity. However, the comparative effectiveness of GPS-enabled PA interventions integrated with dietary components versus PA interventions alone remained unclear. This study aimed to systematically evaluate and compare the effectiveness of GPS-enabled PA interventions, with or without dietary strategies, in improving obesity-related outcomes among adults. Methods: A systematic review and meta-analysis was conducted in accordance with PRISMA guidelines. Randomized controlled trials (RCTs) published between January 2000 and April 2025 were retrieved from five databases. Eligible studies included GPS-enabled PA interventions targeting adults (≥18 years old), and reported at least one primary obesity-related outcome. Meta-analyses were performed using random- or fixed-effects models, depending on heterogeneity levels, and subgroup analyses explored effect modifiers. Results: Nine studies (involving 1363 participants, 424 males and 939 females, aged from 34.5-64.8) were included. GPS-enabled PA interventions significantly reduced body weight (Hedges' g = -0.241, 95% CI: -0.356 to -0.127, I2 = 6.5%, Q = 7.49, p = 0.380) and body fat percentage (BFP) (Hedges' g = -0.412, 95% CI: -0.804 to -0.020, I2 = 76.0%, Q = 16.66, p = 0.002). Subgroup analyses revealed that interventions involving PA alone produced a moderate effect on weight reduction (Hedges' g = -0.328; 95% CI: -0.616 to -0.039), whereas those combining PA with dietary strategies showed a slightly smaller yet significant effect (Hedges' g = -0.208; 95% CI: -0.372 to -0.044). Short-term interventions (≤3 months) demonstrated greater effects on weight reduction. Sensitivity and bias assessments supported the robustness of short-term outcomes. Conclusions: GPS-enabled PA interventions were effective for promoting short-term reductions in body weight and BFP. Notably, the addition of dietary components did not consistently provide greater benefits compared to PA interventions alone. These findings highlight the utility of geospatial technology in enhancing behavioral interventions and support the development of scalable digital health strategies aligned with public health priorities such as "Healthy China 2030".
Collapse
Affiliation(s)
- Yu Fan
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.F.); (S.Z.); (X.S.); (Z.S.)
| | - Sichen Zhang
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.F.); (S.Z.); (X.S.); (Z.S.)
| | - Xiaomin Sun
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.F.); (S.Z.); (X.S.); (Z.S.)
| | - Zhaozhang Sun
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.F.); (S.Z.); (X.S.); (Z.S.)
- Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham B15 2TT, UK
- Centre for National Training and Research Excellence in Understanding Behaviour (CENTRE-UB), University of Birmingham, Birmingham B15 2TT, UK
| | - Wen Peng
- Department of Public Health, Qinghai University Medical College, No. 16 Kunlun Rd, Xining 810008, China;
| | - Lin Shi
- School of Food Engineering and Dietary Science, Shaanxi Normal University, Xi’an 710119, China;
| | - Bo Gou
- Key Laboratory of Sports Technology Analysis and Skill Assessment General Administration of Sport, Xi’an Physical Education University, Xi’an 710068, China;
| | - Youfa Wang
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an 710061, China; (Y.F.); (S.Z.); (X.S.); (Z.S.)
| |
Collapse
|
6
|
Park SH, Park J, Yoo E, Jung J, Park MR, Kim S, Kim JL, Lee JW, Kim OK, Lee M. Withania somnifera and Chrysanthemum zawadskii Herbich var. latilobum (Maxim.) Kitamura Complex Attenuates Obesity in High-Fat-Diet-Induced Obese Mice. Int J Mol Sci 2025; 26:5230. [PMID: 40508039 PMCID: PMC12155309 DOI: 10.3390/ijms26115230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2025] [Revised: 05/26/2025] [Accepted: 05/26/2025] [Indexed: 06/16/2025] Open
Abstract
This study aims to evaluate the anti-obesity effects of Ashwagandha (Withania somnifera, AS), Chrysanthemum zawadskii Herbich var. latilobum (Maxim.) Kitamura (C), and their combination (AS:C = 3:1, ASC) in high-fat-diet (HFD)-induced obese animal models. Key metabolic parameters, including body weight, lipid metabolism, adipogenesis, energy expenditure, and glucose homeostasis, were assessed. HFD-fed mice were supplemented with AS25, C25, or ASC at different concentrations (ASC25, ASC50, and ASC100). Body weight, food efficiency ratio (FER), organ and adipose tissue weights were measured. Serum biochemical markers, including lipid profiles, glucose, insulin, and liver enzymes, were analyzed. Western blot analysis was conducted to assess the expression of key proteins involved in adipogenesis, lipogenesis, lipolysis, and energy metabolism. ASC complex supplementation, particularly at higher doses (ASC100), significantly reduced body weight gain, liver weight, and total white adipose tissue (WAT) accumulation. ASC complex groups exhibited improved lipid profiles, with reductions in triglycerides, total cholesterol, and low-density lipoprotein (LDL). Serum glucose, insulin, and HbA1c levels were significantly reduced, suggesting improved insulin sensitivity. Western blot analysis revealed that ASC complex supplementation downregulated key adipogenic markers, including PPARγ, C/EBPα, and SREBP1c, while enhancing adiponectin levels. ASC complex also promoted energy metabolism by increasing the phosphorylation of AMPK and UCP1 expression, indicative of enhanced thermogenesis and lipid oxidation. ASC complex supplementation demonstrates a potent anti-obesity effect by modulating adipogenesis, lipid metabolism, and energy expenditure. The findings suggest that ASC complex could serve as a promising natural therapeutic strategy for obesity and metabolic disorders. Further research, including clinical trials, is warranted to validate its efficacy and safety in human populations.
Collapse
Affiliation(s)
- Seong-Hoo Park
- Clinical Nutrition Institute, Kyung Hee University, Seoul 02447, Republic of Korea; (S.-H.P.); (E.Y.); (J.J.)
| | - Jeongjin Park
- Division of Food and Nutrition and Human Ecology Research Institute, Chonnam National University, Gwangju 61186, Republic of Korea;
| | - Eunhee Yoo
- Clinical Nutrition Institute, Kyung Hee University, Seoul 02447, Republic of Korea; (S.-H.P.); (E.Y.); (J.J.)
| | - Jaeeun Jung
- Clinical Nutrition Institute, Kyung Hee University, Seoul 02447, Republic of Korea; (S.-H.P.); (E.Y.); (J.J.)
| | - Mi-Ryeong Park
- HLscience Co., Ltd., Uiwang-si 16004, Republic of Korea; (M.-R.P.); (S.K.); (J.-L.K.); (J.W.L.)
| | - Soyoung Kim
- HLscience Co., Ltd., Uiwang-si 16004, Republic of Korea; (M.-R.P.); (S.K.); (J.-L.K.); (J.W.L.)
| | - Jong-Lae Kim
- HLscience Co., Ltd., Uiwang-si 16004, Republic of Korea; (M.-R.P.); (S.K.); (J.-L.K.); (J.W.L.)
| | - Jong Wook Lee
- HLscience Co., Ltd., Uiwang-si 16004, Republic of Korea; (M.-R.P.); (S.K.); (J.-L.K.); (J.W.L.)
| | - Ok-kyung Kim
- Division of Food and Nutrition and Human Ecology Research Institute, Chonnam National University, Gwangju 61186, Republic of Korea;
| | - Minhee Lee
- Department of Food Innovation and Health, Kyung Hee University, Yongin 17104, Republic of Korea
| |
Collapse
|
7
|
Ni Mhurchu C, Rosin M, Shen S, Kidd B, Umali E, Jiang Y, Gerritsen S, Mackay S, Te Morenga L. Is a voluntary healthy food policy effective? evaluating effects on foods and drinks for sale in hospitals and resulting policy changes. BMC Med 2025; 23:299. [PMID: 40437554 PMCID: PMC12121083 DOI: 10.1186/s12916-025-04122-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Accepted: 05/12/2025] [Indexed: 06/01/2025] Open
Abstract
BACKGROUND Healthy food and drink guidelines for public sector settings can improve the healthiness of food environments. This study aimed to assess the implementation and impact of the voluntary National Healthy Food and Drink Policy (the Policy) introduced in New Zealand in 2016 to encourage provision of healthier food and drink options for staff and visitors at healthcare facilities. METHODS A customised digital audit tool was used to collate data on foods and drinks available for sale in healthcare organisations and to systematically classify items as green ('healthy'), amber ('less healthy'), or red ('unhealthy') according to Policy criteria. On-site audits were undertaken between March 2021 and June 2022 at 19 District Health Boards (organisations responsible for providing public health services) and one central government agency. Forty-three sites were audited, encompassing 229 retail settings (serviced food outlets and vending machines). In total, 8485 foods/drinks were classified according to Policy criteria. The primary outcome was alignment with Policy guidance on the availability of green, amber, and red category food/drink items (≥ 55% green and 0% red items). Secondary outcomes were proportions of green, amber, and red category items, promotional practices, and price. Chi-square tests were used to compare results between categorical variables. RESULTS No organisation met the criteria for alignment with the Policy. Across all sites, 38.9% of food/drink items were rated red (not permitted), 39.0% were amber, and 22.1% were green. Organisations that adopted the voluntary Policy offered more healthy foods/drinks than those with their own organisational policy, but the proportion of red items remained high: 32.3% versus 47.5% (p < 0.0001). About one-fifth (21.3%) of all items were promoted, with red (24.6%) and amber (22.2%) items significantly more likely to be promoted than green items (14.0%) (p < 0.001). Green items were also significantly more costly on average (NZ$6.00) than either red (NZ$4.00) or amber (NZ$4.70) items (p < 0.0001). CONCLUSIONS Comprehensive and systematic evaluation showed that a voluntary Policy was not effective in ensuring provision of healthier food/drink options in New Zealand hospitals. The adoption of a single, mandatory Policy, accompanied by dedicated support and regular evaluations, could better support Policy implementation.
Collapse
Affiliation(s)
- Cliona Ni Mhurchu
- Department of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland, 1142, New Zealand.
- Centre for Translational Health Research: Informing Policy and Practice (TRANSFORM), Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
| | - Magda Rosin
- Department of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland, 1142, New Zealand
- Centre for Translational Health Research: Informing Policy and Practice (TRANSFORM), Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Stephanie Shen
- National Institute for Health Innovation, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Bruce Kidd
- National Institute for Health Innovation, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Elaine Umali
- National Institute for Health Innovation, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Yannan Jiang
- Centre for Translational Health Research: Informing Policy and Practice (TRANSFORM), Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
- Department of Statistics, Faculty of Science, University of Auckland, Auckland, New Zealand
| | - Sarah Gerritsen
- Department of Social and Community Health, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Sally Mackay
- Department of Epidemiology and Biostatistics, School of Population Health, Faculty of Medical and Health Sciences, University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland, 1142, New Zealand
| | - Lisa Te Morenga
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| |
Collapse
|
8
|
Hawton K, Shirodkar D, Siese T, Hamilton-Shield JP, Giri D. A recent update on childhood obesity: aetiology, treatment and complications. J Pediatr Endocrinol Metab 2025; 38:429-441. [PMID: 40105362 DOI: 10.1515/jpem-2024-0316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 02/22/2025] [Indexed: 03/20/2025]
Abstract
Obesity is a complex, chronic condition characterised by excess adiposity. Rates of obesity in childhood and adolescence are increasing worldwide, with a corresponding increase in adulthood. The aetiology of obesity is multifactorial and results from a combination of endocrine, genetic, environmental and societal factors. Population level approaches to reduce the prevalence of childhood obesity worldwide are urgently needed. There are wide-ranging complications from excess weight affecting every system in the body, which lead to significant morbidity and reduced life expectancy. Treatment of obesity and its complications requires a multi-faceted, biopsychosocial approach incorporating dietary, exercise and psychological treatments. Pharmacological treatments for treating childhood obesity have recently become available, and there is further development of new anti-obesity medications in the pipeline. In addition, bariatric surgery is being increasingly recognised as a treatment option for obesity in adolescence providing the potential to reverse complications related to excess weight. In this review, we present an update on the prevalence, aetiology, complications and treatment of childhood obesity.
Collapse
Affiliation(s)
- Katherine Hawton
- 156596 Bristol Royal Hospital for Children, University Hospitals Bristol and Weston NHS Foundation Trust , Bristol, UK
- University of Bristol, Bristol, UK
| | - Diksha Shirodkar
- 156596 Bristol Royal Hospital for Children, University Hospitals Bristol and Weston NHS Foundation Trust , Bristol, UK
- University of Bristol, Bristol, UK
| | | | - Julian P Hamilton-Shield
- 156596 Bristol Royal Hospital for Children, University Hospitals Bristol and Weston NHS Foundation Trust , Bristol, UK
- NIHR Biomedical Research Centre (Nutrition Theme), University Hospitals Bristol and Weston NHS Foundations Trust, Bristol, UK
| | - Dinesh Giri
- 156596 Bristol Royal Hospital for Children, University Hospitals Bristol and Weston NHS Foundation Trust , Bristol, UK
- University of Bristol, Bristol, UK
| |
Collapse
|
9
|
Canuto R, Clark SGF, Borges LD, Castro Junior PCPD, Tavares LF, Cardoso LDO, Carmo ASD, Mendes LL. [Methodological aspects of the study on Food Commercialization in Brazilian Schools]. CAD SAUDE PUBLICA 2025; 41:e00167624. [PMID: 40435024 PMCID: PMC12108110 DOI: 10.1590/0102-311xpt167624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2024] [Revised: 12/26/2024] [Accepted: 01/02/2025] [Indexed: 06/01/2025] Open
Abstract
This study presents the methodological aspects of the design and organization of the Food Commercialization in Brazilian Schools study, which aimed to evaluate aspects related to the commercialization of food and beverages in private schools, based on information collected from managers of school cafeterias and street vendors in the immediate vicinity of schools. This is a cross-sectional study of school cafeterias and street vendors near private primary and secondary schools in the 26 Brazilian state capitals. Simple random sampling with inverse replacement was employed; ultimately, 2,241 cafeterias and 699 street vendors were evaluated. The sample loss rate was 21.2%. The questionnaire was developed and evaluated by experts and included questions on nutritional and food information, food infrastructure, convenience, price, availability, variety, and promotion. The logistics involved a coordinating team that conducted training, managed and controlled data quality, local researchers, and a company that assisted in fieldwork. Data collection was conducted from 2022 to 2024. The main implementation challenges were its concurrence with the 2022 electoral period, episodes of violence in schools, internal school policies, the complexity of cultural diversity, and the vast territorial extension of Brazil. Strengths include the novelty of the in-depth and representative data collected, the use of the generated evidence to propose public policies for regulating the school food environment, and the support in building a network of researchers in this area.
Collapse
Affiliation(s)
- Raquel Canuto
- Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil
| | | | | | | | - Letícia Ferreira Tavares
- Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil
| | | | | | | |
Collapse
|
10
|
Dalton C, Sultana M, McKenna K, Brown V. How Is Scale Incorporated Into the Economic Evaluation of Interventions to Prevent Obesity or to Improve Obesity-Related Risk Factors: A Systematic Scoping Review. Obes Rev 2025:e13942. [PMID: 40400024 DOI: 10.1111/obr.13942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2025] [Revised: 04/27/2025] [Accepted: 04/30/2025] [Indexed: 05/23/2025]
Abstract
INTRODUCTION Obesity prevention interventions commonly need to be implemented at scale, to address what is a significant population-level issue. While systematic reviews on the economic evidence for interventions preventing obesity or reducing obesity-related risk factors exist, to date there has been no empirical focus on the methods used to quantify the impacts of scale on intervention cost-effectiveness. This systematic scoping review aimed to synthesize the methods used to incorporate scale considerations and provide future directions for incorporating scale into economic evaluation of public health interventions. METHODS A systematic search was undertaken by two reviewers using six databases in June 2023 to identify published economic evaluations of obesity prevention interventions, from which primary studies that quantitatively incorporated scale into their analyses were identified and included. Narrative synthesis of methods used to incorporate scale considerations. RESULTS Fifty-one relevant primary studies were identified, comprising five within-trial and 46 modeled economic evaluations of 132 discrete interventions. Within-trial economic evaluations commonly estimated intervention cost assuming scale, and generally used simplistic methods and assumptions to do so. Only three modeled economic evaluations of interventions actually implemented at scale were identified. The methods used to estimate scale impacts on costs, effects, and populations exposed to interventions were heterogeneous, with few studies including equity-informed analyses. CONCLUSIONS More guidance is needed on how to appropriately incorporate scale into economic evaluations, whether conducted within-trial or using modeling approaches. This is especially important due to the necessity of population-level interventions to address major health issues like obesity.
Collapse
Affiliation(s)
- Carina Dalton
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Marufa Sultana
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Kaitlyn McKenna
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Vicki Brown
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Geelong, Australia
| |
Collapse
|
11
|
He N, Li Y, Liu F, Dong X, Ma D. Adipocytes regulate monocyte development through the OGT-NEFA-CD36/FABP4 pathway in high-fat diet-induced obesity. Cell Death Dis 2025; 16:401. [PMID: 40389445 PMCID: PMC12089399 DOI: 10.1038/s41419-025-07721-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2024] [Revised: 04/17/2025] [Accepted: 05/06/2025] [Indexed: 05/21/2025]
Abstract
Obesity, resulting from excessive adipocyte accumulation, is a primary risk for various diseases. Although its impact on hematopoietic stem cell (HSC) function has been reported, its effects on HSC differentiation remain controversial. O-GlcNAc transferase (OGT), which catalyzes the attachment of N-acetylglucosamine to serine and threonine residues in proteins, acts as a metabolic sensor capable of regulating diverse physiological processes. This study demonstrates that obesity is associated with higher peripheral monocyte levels. Adipocyte OGT is crucial for monocyte development in high-fat diet (HFD)-induced obesity, promoting an increase in peripheral blood monocytes through transcriptional activation of nonesterified fatty acids (NEFA), a critical energy substrate. Loss of adipocyte OGT decreases serum NEFA levels, reduces white adipose tissue, and inhibits HSC differentiation into monocytes in HFD-induced obesity. Mechanistically, the regulated effect of adipocyte OGT on monocyte development may be mediated by NEFA-cluster of differentiation 36/fatty acid binding protein 4 (CD36/FABP4) pathway in HSCs in HFD-induced obesity. These findings establish the critical role of adipocyte OGT in hematopoietic homeostasis and monocyte development.
Collapse
Affiliation(s)
- Na He
- Advanced Medical Research InstiTabletute, Shandong University, Shandong, 250012, China
- Department of Hematology, Qilu Hospital of Shandong University, Shandong, 250012, China
| | - Yingjie Li
- Department of Health Management Center, Qilu Hospital of Shandong University, Shandong, 250012, China
| | - Fabao Liu
- Advanced Medical Research InstiTabletute, Shandong University, Shandong, 250012, China
| | - Xifeng Dong
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin, 300052, China.
| | - Daoxin Ma
- Department of Hematology, Qilu Hospital of Shandong University, Shandong, 250012, China.
| |
Collapse
|
12
|
Dang J, Zhang Y, Liu Y, Shi D, Cai S, Chen Z, Li J, Huang T, Sun Z, Li X, Ma J, Zhang Z, Song Y. Spatial-temporal analysis and spatial drivers of childhood obesity in China from 1985 to 2019. Obesity (Silver Spring) 2025. [PMID: 40375731 DOI: 10.1002/oby.24303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2024] [Revised: 02/27/2025] [Accepted: 03/17/2025] [Indexed: 05/18/2025]
Abstract
OBJECTIVE We characterized the spatial-temporal trends of obesity among Chinese children and adolescents from 1985 to 2019 and examined the impact of social determinants of health (SDOH) patterns. METHODS Using data from the Chinese National Survey on Students' Constitution and Health (CNSSCH) conducted between 1985 and 2019, featuring seven cross-sectional surveys, we employed spatial-temporal analysis methods and collected 23 obesity-related variables to identify SDOH patterns. A general linear regression model investigated associations between SDOH patterns and obesity prevalence. RESULTS Obesity prevalence rose from 0.1% to 8.1%. Northern regions formed a high-obesity cluster, whereas Southern regions were low-obesity clusters. The following four SDOH patterns emerged: Western Resource-Limited Frontier, Coastal-Central Development Belt, Inland Agricultural Heartland, and Metropolitan Resource-Rich Hubs. Prevalence was 5.7%, 5.8%, 10.2%, and 11.3% for Patterns 1 through 4, respectively. Compared with Pattern 2, Patterns 3 and 4 showed higher obesity risks. CONCLUSIONS Childhood obesity prevalence in China increased with regional disparities from 1985 to 2019, with higher prevalence in the North and lower prevalence in the South. SDOH patterns were linked to spatial clusters, suggesting that regions characterized by advanced urbanization, abundant resources (Pattern 4), and a dietary profile heavy in carbohydrates and low in protein (Pattern 3) potentially contributed to increased obesity risk.
Collapse
Affiliation(s)
- Jiajia Dang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yihang Zhang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yunfei Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Di Shi
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Shan Cai
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Ziyue Chen
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Jiaxin Li
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Tianyu Huang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Ziyue Sun
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Xi Li
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
- Collaborative Innovation Centre of Geospatial Technology, Wuhan University, Wuhan, China
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| |
Collapse
|
13
|
Masip G, Han HY, Meng T, Nielsen DE. Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies. Obes Rev 2025:e13941. [PMID: 40375759 DOI: 10.1111/obr.13941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 03/26/2025] [Accepted: 04/30/2025] [Indexed: 05/18/2025]
Abstract
BACKGROUND Diet is an important determinant of body weight and may modulate genetic susceptibility to obesity. OBJECTIVE This systematic review and meta-analysis aimed to synthesize evidence related to interactions between polygenic risk and nutrient intakes on obesity outcomes. METHODS MEDLINE, EMBASE, Web of Science, and Cochrane Library were systematically searched to identify observational studies that assessed interactions between polygenic risk and nutrient intakes on obesity-related outcomes. Random effects meta-analyses were performed for pooled polygenic risk score (PRS)-total fat intake and PRS-protein intake interaction coefficients on body mass index (BMI). RESULTS Twenty-six publications were retrieved with studies conducted among European, Asian, and African samples. Dietary fats (saturated fat, omega-3, and trans fat) and energy intake were most frequently reported to interact with PRS on obesity outcomes, but the total number of studies available was low. No significant interactions were identified in meta-analyses of PRS interactions with total fat intake and protein intake on BMI. Several studies were rated as low quality, heterogeneity was high, and although study samples were racially diverse, PRSs tended to be based on samples of European ancestry. CONCLUSION Evidence of interactions between polygenic risk and nutrient intakes on obesity outcomes is limited and inconsistent. Further research addressing limitations related to study quality and polygenic risk characterization is needed.
Collapse
Affiliation(s)
- Guiomar Masip
- School of Human Nutrition, McGill University, Montreal, Quebec, Canada
- Growth, Exercise, Nutrition and Development (GENUD), Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón) Universidad de Zaragoza, Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Hannah Yang Han
- School of Human Nutrition, McGill University, Montreal, Quebec, Canada
| | - Tongzhu Meng
- School of Human Nutrition, McGill University, Montreal, Quebec, Canada
| | - Daiva E Nielsen
- School of Human Nutrition, McGill University, Montreal, Quebec, Canada
| |
Collapse
|
14
|
Hang H. Trends in adult physical fitness in China: an analysis of national monitoring reports (2000-2020). Front Sports Act Living 2025; 7:1578817. [PMID: 40443977 PMCID: PMC12119608 DOI: 10.3389/fspor.2025.1578817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2025] [Accepted: 04/25/2025] [Indexed: 06/02/2025] Open
Abstract
Background/Objectives To summarize the results of China's five national monitoring reports (CFNMR) on physical fitness (PF) for adults. The Government of China has taken a systematic administrative approach to a creative environment building, and has conducted five national physical fitness monitoring, with a sixth already started in 2024. Methods CFNMR included indices, rates, test indicators, and questionnaire indicators collected between 2000 and September 2024. Data were collected (every 5 years), analyzed (every 3 years) and published (government announcements and reports) by the Monitoring Center of the General Administration of Sport of China. Adults' data were divided into Group A (20-39 years) and Group B (40-59 years). In this study, once the database was established using government reports as the standard, the indicators were categorized, counted, and descriptively analyzed using EXCEL. Results Group A: Indices fluctuated up 2.98 (2010 highest 102.98), and rates fluctuated up 2.40% (2005 highest 89.3%). Group B: Indices continued to decline 0.23 (2014 lowest 99.77), and rates fluctuated up 3.00% (2019 highest 90.6%). Test and questionnaire indicators show different structural characteristics, but obesity (7.33%) and overweight rates (5.88%) continue to increase. Conclusion Adult physical fitness is improving, but physical activity is decreasing. The results of the overall growth shown by the tested indicators do not, however, represent the formation of well-functioning mechanisms. Obesity is an ongoing and growing problem that requires constant attention. It should consider adding a physical literacy monitoring component, utilizing public goods attributes, to promote sustainable change and reach more adults.
Collapse
Affiliation(s)
- Huabin Hang
- School of Physical Education, Nanjing University of Technology, Nanjing, China
| |
Collapse
|
15
|
Chung A, Torkel S, Dixon H, McCann J, Schmidtke A, Fleming C. The marketing of commercial foods for infants and toddlers in Australian supermarket catalogues. Health Promot Int 2025; 40:daaf043. [PMID: 40498770 PMCID: PMC12154204 DOI: 10.1093/heapro/daaf043] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2025] Open
Abstract
Commercial foods for infants and young children are prominent on supermarket shelves in Australia, with parents commonly believing they are a healthy choice, yet evidence shows many commercial foods are nutrient-poor. The aim of this study was to examine the nature and extent of promotions for commercial infant and toddler foods in Australian supermarket catalogues. Digital catalogues from four leading Australian supermarket chains were collected and content analysed over 12 weeks from August to October 2023 (n = 60 catalogues with 2206 pages). Using a coding guide, one researcher coded all advertised products to identify commercial infant and toddler foods and recorded the labelled age range, product category, packaging type, and associated promotions for each product. A total of 121 commercial infant and toddler food products were identified across 49 catalogue pages (3.5% of all pages examined). The most advertised categories of commercial infant and toddler foods were fruit purees (40%), snacks (27%), and confectionary (12%); 74% of advertised commercial foods were labelled for infants under 12 months; 26% were labelled for toddlers 12-36 months of age; and 50% of products were packaged in pouches. Techniques used to promote commercial infant and toddler foods included price (95%) and health-related messaging (20%). Foods promoted for infants and young children in Australian supermarket catalogues are misaligned with the recommendations within Australia's Infant Feeding Guidelines. There is an urgent need to reduce the promotion of packaged commercial infant and toddler foods in supermarket catalogues to better support and promote healthy diets for young children.
Collapse
Affiliation(s)
- Alexandra Chung
- Department of Nutrition, Dietetics and Food, Monash University, 1/264 Ferntree Gully Rd, Notting Hill, Victoria, 3168, Australia
| | - Sophia Torkel
- Faculty of Medicine, Nursing, and Health Sciences, Monash Centre for Health Research and Implementation (MCHRI), Monash University, Level 1, 43-51 Kanooka Grove, Clayton, Victoria, 3168, Australia
| | - Helen Dixon
- Centre for Behavioural Research in Cancer, Cancer Council Victoria, Level 8, 200 Victoria Parade, East Melbourne, Victoria, 3002, Australia
- Melbourne School of Psychological Sciences, The University of Melbourne, 12/17 Spencer Road, Parkville, Victoria, 3010, Australia
| | - Jennifer McCann
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, 221 Burwood Highway, Burwood, Victoria, 3125, Australia
| | - Andrea Schmidtke
- Food for Health Alliance, Level 8, 200 Victoria Parade, East Melbourne, Victoria, 3002, Australia
| | - Catharine Fleming
- School of Health Science, Western Sydney University, Narellan Road and Gilchrist Drive, Campbelltown, New South Wales, 2560, Australia
| |
Collapse
|
16
|
Apostolopoulou M, Lambadiari V, Roden M, Dimitriadis GD. Insulin Resistance in Type 1 Diabetes: Pathophysiological, Clinical, and Therapeutic Relevance. Endocr Rev 2025; 46:317-348. [PMID: 39998445 PMCID: PMC12063105 DOI: 10.1210/endrev/bnae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Indexed: 02/26/2025]
Abstract
People with type 1 diabetes (T1D) are usually considered to exclusively exhibit β-cell failure, but they frequently also feature insulin resistance. This review discusses the mechanisms, clinical features, and therapeutic relevance of insulin resistance by focusing mainly on human studies using gold-standard techniques (euglycemic-hyperinsulinemic clamp). In T1D, tissue-specific insulin resistance can develop early and sustain throughout disease progression. The underlying pathophysiology is complex, involving both metabolic- and autoimmune-related factors operating synergistically. Insulin treatment may play an important pathogenic role in predisposing individuals with T1D to insulin resistance. However, the established lifestyle-related risk factors and peripheral insulin administration inducing glucolipotoxicity, hyperinsulinemia, hyperglucagonemia, inflammation, mitochondrial abnormalities, and oxidative stress cannot always fully explain insulin resistance in T1D, suggesting a phenotype distinct from type 2 diabetes. The mutual interaction between insulin resistance and impaired endothelial function further contributes to diabetes-related complications. Insulin resistance should therefore be considered a treatment target in T1D. Aside from lifestyle modifications, continuous subcutaneous insulin infusion can ameliorate insulin resistance and hyperinsulinemia, thereby improving glucose toxicity compared with multiple injection insulin treatment. Among other concepts, metformin, pioglitazone, incretin-based drugs such as GLP-1 receptor agonists, sodium-glucose cotransporter inhibitors, and pramlintide can improve insulin resistance, either directly or indirectly. However, considering the current issues of high cost, side effects, limited efficacy, and their off-label status, these agents in people with T1D are not widely used in routine clinical care at present.
Collapse
Affiliation(s)
- Maria Apostolopoulou
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University, 40225 Düsseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibnitz Center for Diabetes Research at Heinrich-Heine University, 40225 Düsseldorf, Germany
- German Center of Diabetes Research (DZD), Partner Düsseldorf, 85764 München-Neuherberg, Germany
| | - Vaia Lambadiari
- 2nd Department of Internal Medicine, Research Institute and Diabetes Center, National and Kapodistrian University of Athens Medical School, 12462 Athens, Greece
| | - Michael Roden
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University, 40225 Düsseldorf, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibnitz Center for Diabetes Research at Heinrich-Heine University, 40225 Düsseldorf, Germany
- German Center of Diabetes Research (DZD), Partner Düsseldorf, 85764 München-Neuherberg, Germany
| | - George D Dimitriadis
- 2nd Department of Internal Medicine, Research Institute and Diabetes Center, National and Kapodistrian University of Athens Medical School, 12462 Athens, Greece
| |
Collapse
|
17
|
García-Ulloa AC, Pérez-Peralta L, Lugo-Bautista K, Martínez-Sánchez VA, Mehta R, Hernández-Jiménez S, On behalf of CAIPaDi study group. Metabolic Comorbidities Among Relatives of Type 2 Diabetes Patients Stratified by Weight: Implications for Prevention and Care. Diabetes Metab Syndr Obes 2025; 18:1539-1549. [PMID: 40365576 PMCID: PMC12071750 DOI: 10.2147/dmso.s483171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2024] [Accepted: 03/21/2025] [Indexed: 05/15/2025] Open
Abstract
Introduction Diabetes, affecting 18.3% of young adults in Mexico (6), is influenced by both genetic factors and shared unhealthy habits within families. Objective To determine the metabolic abnormalities in relatives of people with T2D, stratified by body mass index. Materials and Methods This observational, descriptive study was conducted at the Center for Comprehensive Care for Patients with Diabetes (CAIPaDi). The study involved relatives of participants with type 2 diabetes mellitus (T2DM), recruited between June 2017 and December 2020. The relatives were people without diabetes, including spouses, siblings, offspring, or close family members aged 18 to 65 who spent over four days a week with the patient. Exclusion criteria included relatives diagnosed with diabetes, smokers, or any individual from a patient-relative pair that was excluded. All participants underwent laboratory tests and body measurements. Relatives were classified into three groups based on body weight: normal weight, overweight, and obesity. The relatives attended four monthly visits and then annual evaluations. Ethical approval was obtained. Results The study enrolled 220 relatives of people with T2DM, 69% women, median age 49±12 years; 19.5% with normal weight, 40.4% overweight, and 40% with obesity. Prediabetes (39.4%), dyslipidemia (67.2%), and abnormal liver function tests (32.2%) were prevalent. Higher levels of triglycerides and LDL cholesterol were associated with increased risk for comorbid conditions. Anxiety and depression showed no significant differences across weight categories. Conclusion These results highlight the importance of overweight and obesity as factors associated with the presence of comorbidities and the metabolic syndrome. It is essential to implement strategies to promote healthy habits among family members of people with diabetes, especially in those who are overweight or obese to reduce the risk of developing future metabolic and cardiovascular diseases.
Collapse
Affiliation(s)
- Ana Cristina García-Ulloa
- Centro de Atención Integral del Paciente con Diabetes (CAIPaDi), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Liliana Pérez-Peralta
- Centro de Atención Integral del Paciente con Diabetes (CAIPaDi), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Karla Lugo-Bautista
- Endocrinology and Lipid Metabolism Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Víctor A Martínez-Sánchez
- Internal Medicine Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Roopa Mehta
- Endocrinology and Lipid Metabolism Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Sergio Hernández-Jiménez
- Centro de Atención Integral del Paciente con Diabetes (CAIPaDi), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - On behalf of CAIPaDi study group
- Centro de Atención Integral del Paciente con Diabetes (CAIPaDi), Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Endocrinology and Lipid Metabolism Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Internal Medicine Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| |
Collapse
|
18
|
Pujia C, Ferro Y, Mazza E, Maurotti S, Montalcini T, Pujia A. The Role of Mobile Apps in Obesity Management: Systematic Review and Meta-Analysis. J Med Internet Res 2025; 27:e66887. [PMID: 40327853 DOI: 10.2196/66887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 02/12/2025] [Accepted: 03/14/2025] [Indexed: 05/08/2025] Open
Abstract
BACKGROUND Obesity is a growing public health concern worldwide, significantly contributing to premature mortality and noncommunicable diseases. Weight reduction through lifestyle interventions, including diet and physical activity, is the primary approach to combating obesity, with studies showing that a 5% to 10% reduction in body weight can notably reduce obesity-related complications. Recently, smartphone apps have emerged as popular tools to aid in weight loss. However, the effectiveness of smartphone-only apps for weight management in people with overweight or obesity without comorbidities remains unclear. OBJECTIVE This meta-analysis aims to evaluate the efficacy of these apps in supporting weight loss and improving body composition in such populations. METHODS A systematic review and meta-analysis were conducted following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, with a search across databases including PubMed, Scopus, Cochrane Library, and others. The inclusion criteria were randomized controlled trials involving adults (aged ≥18 years) with overweight or obesity (BMI≥25 kg/m2) and assessing the use of smartphone-only apps for weight loss. Studies using additional devices or involving participants with comorbidities were excluded. Data extraction focused on weight loss, BMI, waist circumference, and body fat percentage, and the risk of bias was assessed using the Revised Cochrane Risk-of-Bias tool. RESULTS A total of 11 randomized controlled trials with 1717 participants were included in the meta-analysis. The interventions, lasting between 60 days and 12 months, involved diet and exercise monitoring via smartphone apps. At 4-6 months of follow-up, app-based interventions significantly reduced body weight (standardized mean difference -0.33, 95% CI -0.48 to -0.17; P<.001; I2=49%) and BMI (mean difference [MD] -0.76, 95% CI -1.42 to -0.10; P=.02). Reductions in body fat percentage were also observed at 3 months (MD -0.79, 95% CI -1.38 to -0.20; P=.009) and between 4 and 6 months (MD -0.46, 95% CI -0.71 to -0.20; P<.001). However, no significant effects on waist circumference were noted (P=.07). CONCLUSIONS Smartphone apps demonstrate a modest but statistically significant effect on weight loss and BMI reduction over a 4- to 6-month period in individuals with overweight or obesity. The effectiveness of these interventions appears limited beyond 6 months, with a tendency for weight regain. Many apps lack the personalized support necessary to sustain long-term weight loss, contributing to high dropout rates. Future development of weight loss apps should focus on enhanced customization to improve user adherence and long-term outcomes. TRIAL REGISTRATION PROSPERO CRD42024570999; https://tinyurl.com/2xw6j4fy.
Collapse
Affiliation(s)
- Carmelo Pujia
- OU Clinical Nutrition, Renato Dulbecco Hospital, Catanzaro, Italy
| | - Yvelise Ferro
- Department of Medical and Surgical Sciences, University Magna Græcia, Catanzaro, Italy
| | - Elisa Mazza
- Department of Medical and Surgical Sciences, University Magna Græcia, Catanzaro, Italy
| | - Samantha Maurotti
- Department of Medical and Surgical Sciences, University Magna Græcia, Catanzaro, Italy
| | - Tiziana Montalcini
- Department of Clinical and Experimental Medicine, University Magna Græcia, Catanzaro, Italy
- Research Center for the Prevention and Treatment of Metabolic Diseases, University Magna Græcia, Catanzaro, Italy
| | - Arturo Pujia
- Department of Medical and Surgical Sciences, University Magna Græcia, Catanzaro, Italy
- Research Center for the Prevention and Treatment of Metabolic Diseases, University Magna Græcia, Catanzaro, Italy
| |
Collapse
|
19
|
Patel M. From Supermarkets to Farms: Food Policy and the Obesity Epidemic. J Gen Intern Med 2025:10.1007/s11606-025-09579-3. [PMID: 40329026 DOI: 10.1007/s11606-025-09579-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2024] [Accepted: 04/24/2025] [Indexed: 05/08/2025]
Abstract
The increasing rates of obesity are contributing to a decrease in life expectancy in the USA. Although innovative obesity therapies are being developed, they alone will not suffice to combat the widespread obesity epidemic. Patients with overweight and obesity face incredible headwinds in an increasingly obesogenic food environment derived from previous and current food, agricultural, and governmental policies. Regional policies contribute to the development of food swamps, which exert an even more substantial influence on weight gain than food deserts. Grocery store layouts and marketing practices perpetuate unhealthy food purchases among low-income individuals. Furthermore, national agricultural policies have contributed to increased portion sizes and a supply of ultra-processed foods. To effectively treat and advocate for patients, general internists must understand how these policies drive the obesity epidemic. In this review, we dissect the marketing practices and regional and national food policies that contribute to the obesogenic food environment. We also highlight policies that provide evidence for improving the food environment and reversing the obesity epidemic.
Collapse
Affiliation(s)
- Mihir Patel
- University of Maryland School of Medicine, Baltimore, MD, USA.
| |
Collapse
|
20
|
Soloveva MV, Barnett A, Mellecker R, Sit C, Lai PC, Zhang CJP, Sallis JF, Cerin E. Neighbourhood, school and home food environment associations with dietary behaviours in Hong Kong adolescents: the iHealth study. Health Place 2025; 93:103472. [PMID: 40279700 DOI: 10.1016/j.healthplace.2025.103472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2024] [Revised: 03/17/2025] [Accepted: 04/17/2025] [Indexed: 04/29/2025]
Abstract
This study is the first to examine whether neighbourhood, school and home food environments were associated with dietary behaviours in Hong Kong adolescents; and whether off-campus lunch school policy, bringing lunch from home and parental rules for eating behaviours moderated the associations. We used data from the international Healthy environments and active living in teenagers - (Hong Kong) [iHealt(H)] study. Participants were healthy adolescents aged 11-18 years (N = 1299; Mage = 14.7 years; 57 % girls) and their parent/primary caregivers. Participants completed surveys with validated scales to assess dietary behaviours and perceived food environments. The Microscale Audit of Pedestrian Streetscapes and Geographic Information Systems data and software were used to objectively assess food environments. A higher number of bakeries, coffee shops, cafes and convenience stores in the neighbourhood was associated with higher consumption of vegetables and lower consumption of sugar-sweetened drinks in adolescents. Adolescents who frequently brought lunch from home to school consumed fatty foods and sugar-sweetened drinks less frequently and were more likely to eat fruits and vegetables. Greater availability of unhealthy food outlets at the school was associated with higher consumption of sugar-sweetened drinks, whereas more restaurants around the school was associated with higher consumption of fruits and vegetables. Home-made lunches and restrictive parental eating rules moderated the effects of food environments on adolescents' dietary behaviours. All food environmental contexts were associated with Hong Kong adolescents' dietary behaviours; however, the home and school environment appeared to be the most influential and should be targeted in public health interventions.
Collapse
Affiliation(s)
- Maria V Soloveva
- Mary MacKillop Institute for Health Research, Australian Catholic University, Australia.
| | - Anthony Barnett
- Mary MacKillop Institute for Health Research, Australian Catholic University, Australia
| | - Robin Mellecker
- Faculty of Education, The University of Hong Kong, Hong Kong, China
| | - Cindy Sit
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China
| | - Poh-Chin Lai
- Department of Geography, Faculty of Social Sciences, The University of Hong Kong, Hong Kong, China
| | - Casper J P Zhang
- School of Public Health, The University of Hong Kong, Hong Kong, China
| | - James F Sallis
- Mary MacKillop Institute for Health Research, Australian Catholic University, Australia; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Ester Cerin
- Mary MacKillop Institute for Health Research, Australian Catholic University, Australia; School of Public Health, The University of Hong Kong, Hong Kong, China; Baker Heart and Diabetes Institute, Melbourne, Australia; Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| |
Collapse
|
21
|
Roser P, Aberle J. [Obesity as a chronic disease]. INNERE MEDIZIN (HEIDELBERG, GERMANY) 2025; 66:447-452. [PMID: 40140054 DOI: 10.1007/s00108-025-01883-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/24/2025] [Indexed: 03/28/2025]
Abstract
The global prevalence of obesity has more than tripled since 1975 and represents a substantial public health challenge. Obesity is a chronic disease with a high tendency to recurrence and is associated with numerous comorbidities, such as diabetes mellitus, high blood pressure and cardiovascular diseases. Every year around 2.8 million people die from the sequelae. Obesity is defined as the excessive accumulation of fatty tissue. In routine clinical practice obesity is diagnosed by measuring the body mass index (BMI); however, there are numerous professional associations that recommend the additional determination of another biometric parameter (waist to height ratio or waist circumference). This not only reduces inaccuracies in the BMI but also makes it easier to identify patients with a particularly high risk of cardiovascular and metabolic diseases. Regardless of the definitions and diagnostics of obesity, the aim of treatment for those affected is not just to reduce weight but more to improve the quality of life, overall survival and the improvement or prevention of obesity-related diseases.
Collapse
Affiliation(s)
- Pia Roser
- III. Medizinische Klinik, Sektion Endokrinologie und Diabetologie, Universitäres Adipositas-Centrum des UKE, Universitätsklinikum Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Deutschland.
| | - Jens Aberle
- III. Medizinische Klinik, Sektion Endokrinologie und Diabetologie, Universitäres Adipositas-Centrum des UKE, Universitätsklinikum Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Deutschland
| |
Collapse
|
22
|
Wopereis TM, Roman KJ, Djojosoeparto SK, Poelman MP. Voicing residents' perception of (commercial) food cues in outdoor public spaces: a photovoice study. BMC Public Health 2025; 25:1496. [PMID: 40269909 PMCID: PMC12016199 DOI: 10.1186/s12889-025-22619-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/03/2025] [Indexed: 04/25/2025] Open
Abstract
BACKGROUND (Commercial) food cues in outdoor public spaces are environmental drivers of unhealthy diets. This study aimed to explore residents' perceptions of food cues in outdoor public spaces in relation to their perceived food environment, eating behaviour, and their opinion on governmental outdoor food cue regulations. METHODS A photovoice study, consisting of a photography assignment followed by semi-structured interviews, was conducted among 15 adult residents of the municipality of Wageningen, the Netherlands. Participants had one week to take photographs of outdoor food cues they encountered in their municipality, using a mobile app "myfoodenvironment", that were central to the interview afterwards. RESULTS Participants mainly noticed unhealthy food cues, which they viewed as constant 'reminders' that unhealthy food was easily accessible and affordable. Their views varied on the extent to which food cues affected their own eating behaviour, but generally believed that food cues affected that of others. Participants identified several factors that amplify outdoor food cues' influence on eating behaviour, including hunger, fatigue and attractiveness of the cues. The findings revealed support for government regulation of food cues, while acknowledging the complexity of this issue and the diverse perspectives on how such regulations should be designed (e.g., where, for whom), with one notable counterargument being concerns about feeling patronized by such policies. CONCLUSIONS Current findings may inform health professionals and (local) policy makers about the unhealthy food cues encountered by residents in outdoor public spaces, which unconsciously influence their eating behaviour, while also providing insights into designing food cue regulations that attract policy support by balancing public health goals with considerations of consumer autonomy and citizen preferences.
Collapse
Affiliation(s)
- Tamika M Wopereis
- Department of Social Sciences, Chair Group Consumption & Healthy Lifestyles, Wageningen University & Research, Hollandseweg 1, Wageningen, 6706 KN, the Netherlands
| | - Kirsten J Roman
- Department of Social Sciences, Chair Group Consumption & Healthy Lifestyles, Wageningen University & Research, Hollandseweg 1, Wageningen, 6706 KN, the Netherlands
| | - Sanne K Djojosoeparto
- Department of Social Sciences, Chair Group Consumption & Healthy Lifestyles, Wageningen University & Research, Hollandseweg 1, Wageningen, 6706 KN, the Netherlands
| | - Maartje P Poelman
- Department of Social Sciences, Chair Group Consumption & Healthy Lifestyles, Wageningen University & Research, Hollandseweg 1, Wageningen, 6706 KN, the Netherlands.
| |
Collapse
|
23
|
Even B, Truong TTT, Thai HTM, Pham HTM, Nguyen DT, Bui ATV, Béné C. Unpacking food environment policy landscapes for healthier diets in "emerging" countries: the case of Viet Nam. Front Public Health 2025; 13:1548956. [PMID: 40352842 PMCID: PMC12063741 DOI: 10.3389/fpubh.2025.1548956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2024] [Accepted: 03/24/2025] [Indexed: 05/14/2025] Open
Abstract
Objective Food systems and food environments are evolving rapidly in Viet Nam, concurrently with significant shifts in dietary patterns and health outcomes. This study aims to identify critical gaps in the national regulatory framework governing food environment in Viet Nam and to propose actionable recommendations to overcome these gaps. Results Using the Food Environment Policy Index from the INFORMAS network, we mobilized a transdisciplinary panel of 18 experts to co-analyze and assess policy evidence, as well as co-develop policy recommendations. The assessment, encompassing 35 indicators across six food environment domains, revealed substantial gaps: 74% of indicators scored low or very low, while only 26% scored medium or high. Key gaps were identified in food composition standards, marketing, labeling, and financial incentives. Recommendations from the experts focused on strengthening food composition standards, enhancing consumer education, and fostering inter-sectoral policy integration. Implications This study provides a comprehensive evaluation of Viet Nam's food environment policies and offers actionable recommendations to foster food environments conducive of healthier diets. Drawing on Viet Nam as a case study representative of challenges in other low- and middle-income countries, our findings highlight the importance of strong political commitment to prioritize public health over industry interests in order to create healthier, more equitable food environments and food systems.
Collapse
Affiliation(s)
- Brice Even
- Food Environment and Consumer Behaviour, International Center for Tropical Agriculture, Hanoi, Vietnam
| | - Trang Thi Thu Truong
- Center for Agricultural Policy, Institute of Policy and Strategy for Agriculture and Rural Development, Hanoi, Vietnam
| | - Hang Thi Minh Thai
- Food Environment and Consumer Behaviour, International Center for Tropical Agriculture, Hanoi, Vietnam
- School of Environment, Faculty of Science, The University of Auckland, Auckland, New Zealand
| | - Huong Thi Mai Pham
- Food Environment and Consumer Behaviour, International Center for Tropical Agriculture, Hanoi, Vietnam
| | - Duong Thu Nguyen
- Center for Agricultural Policy, Institute of Policy and Strategy for Agriculture and Rural Development, Hanoi, Vietnam
| | - Anh Thi Viet Bui
- Center for Agricultural Policy, Institute of Policy and Strategy for Agriculture and Rural Development, Hanoi, Vietnam
| | - Christophe Béné
- Food Environment and Consumer Behaviour, International Center for Tropical Agriculture, Cali, Colombia
- Wageningen Economic Group, Wageningen University, Wageningen, Netherlands
| |
Collapse
|
24
|
Pather R, Khathi A, Ngubane P. The effects of obesity on thyroid function in a metabolically healthy high-fat, high-carbohydrate diet-induced obese rat model. Front Endocrinol (Lausanne) 2025; 16:1538627. [PMID: 40331142 PMCID: PMC12052566 DOI: 10.3389/fendo.2025.1538627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2024] [Accepted: 03/28/2025] [Indexed: 05/08/2025] Open
Abstract
Introduction Obesity is a recognized exacerbator of thyroid dysfunction due to its detrimental effects on energy homeostasis, appetite regulation, basal metabolic rate, thermogenesis, and metabolism. However, almost all the reported findings on obesity-related thyroid dysfunction are based on models of metabolically unhealthy obesity (MUO) in the presence of insulin resistance. There are currently no reported studies using a metabolically healthy obesity (MHO) model characterized by the absence of insulin resistance to investigate thyroid dysfunction. Hence, this study aimed to investigate the association between thyroid dysfunction and obesity in a metabolically healthy high-fat high-carbohydrate diet-induced obese rat model. Materials and methods Male Sprague Dawley rats were randomly divided into either the control diet or the high-fat high-carbohydrate diet group (HFHC) (n=9, per group). During the 5-month induction period, the control group did not develop obesity while consuming a standard diet with water. The HFHC diet group consumed the HFHC diet and water for the same duration and was diagnosed with obesity. Post-obesity confirmation, the animals continued with the respective diets for a further 7 months to maintain the obese state. Caloric intake, fasting blood glucose (FBG) and BMI were measured once a month for the duration of the experiment. Glucose homeostasis and thyroid functional parameters were assessed terminally, accompanied by satiety and pro-inflammatory markers. Results The HFHC diet group presented with higher BMI, caloric intake and FBG, and elevated insulin, HOMA-IR, Hb1Ac, leptin and IL-6 levels compared to the control diet group. The HFHC diet group presented with significantly elevated levels of TSH, fT3 and fT4. These observations suggest that thyroid homeostasis is disturbed in the obese state. However, the reported elevated glycemic status indicators and IL-6 concentrations in the HFHC diet group did not satisfy the minimum criteria to be characterized as MUO. Conclusion The HFHC diet has induced MHO in male Sprague Dawley rats. This warrants using this model to investigate the homeostatic changes that occur during the metabolically healthy obese state. This can open new avenues for developing preventative measures to avoid progressing to MUO.
Collapse
Affiliation(s)
- Reveshni Pather
- Department of Human Physiology, School of Laboratory Medicine and Medical Science, University of KwaZulu-Natal, Durban, South Africa
| | | | | |
Collapse
|
25
|
Babiker A, Alfaraidi H, Aljarallah G, Albaraki J, Alharbi R, Alsomali N, Alkhalaf A, Yenugadhati N, Al Juraibah F, Al Alwan I. The metabolic effect of combined liraglutide treatment and lifestyle modification on obese adolescents in a tertiary center, Riyadh. Front Endocrinol (Lausanne) 2025; 16:1573109. [PMID: 40303643 PMCID: PMC12037372 DOI: 10.3389/fendo.2025.1573109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2025] [Accepted: 03/25/2025] [Indexed: 05/02/2025] Open
Abstract
Background Obesity has increased in adolescents with a rising incidence of metabolic consequences, including type 2 diabetes, necessitating new pharmacotherapeutic approaches. Liraglutide is the first FDA-approved therapy for obesity in adolescents in less than a decade. We assessed its efficacy combined with lifestyle interventions in our patients. Methods A retrospective cohort study was conducted at a specialized children hospital in Riyadh (2019-2022). All patients had simple, non-syndromic obesity and received intensive education on lifestyle modification. Data was collected from patients in two groups: Lifestyle modification (LifeSG) Vs Lifestyle and Liraglutide (LiraglG). Comparisons of two repeated measures obtained at T1 (baseline) and T2 (6-9 months) or T3 (9-12 months), including changes in body mass index (BMI), glycated hemoglobin (HbA1c) and other metabolic markers, were performed in the two matched groups using paired t-tests. Regression analysis using linear mixed models (SAS 9.4) were used to assess the effect of treatment status over time (P-value ≤ 0.05). Results Data collected from 138 patients (n=69 in each group) with mean BMI and HbA1c of 35.78 kg/m2 and 5.85%, respectively. Notably, BMI declined by 0.48 kg/m2 over time in the LiraglG (p=0.003). An interaction effect (p=0.027) suggested a treatment impact until the first follow-up, which was not sustained thereafter. LifeSG exhibited no significant changes in biomarkers throughout T1-T3 period. In contrast, significant reductions were observed in BMI between T1-T2 (p=0.0057) and T1-T3 (p=0.010), total cholesterol (T1-T2) (p=0.023), alkaline phosphatase (T1-T3) (p<0.05) and low-density lipoprotein mean levels (T1-T3) (p=0.05) in the LiraglG group. A decline of 0.13% in A1c was observed in LiraglG; which may not clinically meaningful except in patients with pre-diabetes range of A1c (≥ 5.8%). Conclusion Liraglutide combined with lifestyle intervention is effective in treating obese Saudi adolescents, especially in the first 6-9 months. Continuous lifestyle intervention plays a key role in sustainability.
Collapse
Affiliation(s)
- Amir Babiker
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah Specialized Children’s Hospital, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Centre (KAIMRC), Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Haifa Alfaraidi
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah Specialized Children’s Hospital, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Centre (KAIMRC), Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Gadah Aljarallah
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Joud Albaraki
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Reem Alharbi
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Nouf Alsomali
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Abeer Alkhalaf
- King Abdullah Specialized Children’s Hospital, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Nagarajkumar Yenugadhati
- King Abdullah International Medical Research Centre (KAIMRC), Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- College of Public Health and Health Informatics, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Fahad Al Juraibah
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah Specialized Children’s Hospital, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Centre (KAIMRC), Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Ibrahim Al Alwan
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah Specialized Children’s Hospital, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Centre (KAIMRC), Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| |
Collapse
|
26
|
Lee YH, You M, Kim HA. Vaccinium oldhamii Fruit Inhibits Lipid Accumulation in 3T3-L1 Cells and Diet-Induced Obese Animals. Nutrients 2025; 17:1346. [PMID: 40284210 PMCID: PMC12030422 DOI: 10.3390/nu17081346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2025] [Revised: 04/07/2025] [Accepted: 04/11/2025] [Indexed: 04/29/2025] Open
Abstract
BACKGROUND/OBJECTIVES Obesity is a significant global health concern, and the natural bioactive compounds with anti-obesity effects remain challenging. This study aims to examine the anti-obesity effect and the potential mechanism of Vaccinium oldhamii fruit water extract (VOW). METHODS Lipid accumulation, AMP-activated protein kinase (AMPK) activity, and Wnt/β-catenin signaling were evaluated in 3T3-L1 cells. In high-fat and high-sucrose diet (HFHSD)-induced obese mice, body weight, food intake, fat weight, serum lipid profiles, and adipogenic transcription factors were assessed. The most effective VOW fraction was selected by Oil Red O (ORO) staining and its mechanism was studied in 3T3-L1 cells. RESULTS VOW treatment significantly inhibited cellular lipid accumulation and suppressed phosphorylation of AMPK and its downstream protein, acetyl-CoA carboxylase (ACC). VOW also decreased adipogenic-associated protein expressions such as the peroxisome proliferator-activated receptor-γ (PPAR-γ), CCAAT/enhancer-binding proteins α (C/EBP α), sterol regulatory element binding protein-1c (SREBP-1c), and fatty acid synthase (FAS). The enhanced effect of VOW was abolished by the knockdown of AMPK with siRNA. The inhibitory effect of VOW on differentiation depended on the treatment period, even though VOW treatment downregulated the C/EBP β expression at the early phase of differentiation. VOW dramatically reduced activation of AMPK, thereby downregulating adipogenic-associated proteins. Furthermore, the butanol fraction (BtOH) of VOW showed the most powerful effect of VOW dose-dependently reduced lipid accumulation by suppressing the phosphorylation of AMPK. Consistent with inhibited lipid accumulation in vitro, VOW reduced body weight and white adipose tissue weight in the HFHSD-induced obese animal model. CONCLUSIONS Overall, our study suggested that the anti-adipogenesis effect of VOW and its BtOH fraction involved the activation of AMPK.
Collapse
Affiliation(s)
- Young-Hyeon Lee
- Department of Food and Nutrition, Mokpo National University, Muan-gun 58554, Republic of Korea; (Y.-H.L.); (M.Y.)
| | - Mikyoung You
- Department of Food and Nutrition, Mokpo National University, Muan-gun 58554, Republic of Korea; (Y.-H.L.); (M.Y.)
- Convergence Center for Green Anti-Aging Research, Mokpo National University, Muan-gun 58554, Republic of Korea
| | - Hyeon-A Kim
- Department of Food and Nutrition, Mokpo National University, Muan-gun 58554, Republic of Korea; (Y.-H.L.); (M.Y.)
| |
Collapse
|
27
|
Rodríguez López S, Diez Roux AV, Tumas N, Moore K, Sarmiento OL, Sánchez BN, Pérez-Ferrer C, Flores-Alvarado S, Mazariegos M, Bilal U, Lazo M. Neighbourhoods' social, built, and natural environment characteristics and body mass index in Latin American cities. Int J Epidemiol 2025; 54:dyaf047. [PMID: 40258365 PMCID: PMC12011360 DOI: 10.1093/ije/dyaf047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Accepted: 04/08/2025] [Indexed: 04/23/2025] Open
Abstract
BACKGROUND Features of neighbourhoods affect body mass index (BMI) but this has been poorly acknowledged within the highly heterogeneous and unequal contexts of Latin American cities. We evaluated associations between social, built, and natural environment characteristics of neighbourhoods with BMI, and investigated whether these associations were modified by individual socioeconomic position (SEP). METHODS We linked individual data (n = 43 968) from national health surveys to data on neighbourhoods (n = 3428) and cities (n = 165) in Argentina, Chile, Colombia, and Mexico. Linear mixed models were used to estimate associations between neighbourhood education, intersection density, and greenness with BMI, adjusting for individual- and city-level characteristics. RESULTS Associations between neighbourhood education and BMI varied by country, in both magnitude and direction. In Argentina and Chile, higher neighbourhood education was associated with lower BMI. This negative association was also observed among women in Colombia and Mexico, although it was weaker. Among men in Colombia and Mexico, however, the association was positive. Associations of neighbourhood intersection density and greenness with BMI were less robust. In general, we did not find strong evidence of effect modification by individual SEP. CONCLUSION Neighbourhood education is associated with BMI beyond individual and city characteristics, although the associations are heterogenous across countries and by gender. Associations with built and natural features were less clear. Our results highlight the relevance of context-specific analysis for planning interventions that are aimed to reduce BMI and its unequal distribution in Latin American cities.
Collapse
Affiliation(s)
- Santiago Rodríguez López
- Center of Research and Studies on Culture and Society, National and Technical Research Council and National University of Córdoba (CIECS, CONICET and UNC), Córdoba, Argentina
- Department of Physiology, Faculty of Exact, Physical and Natural Sciences, National University of Córdoba, Córdoba, Argentina
| | - Ana V Diez Roux
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
| | - Natalia Tumas
- Center of Research and Studies on Culture and Society, National and Technical Research Council and National University of Córdoba (CIECS, CONICET and UNC), Córdoba, Argentina
- Faculty of Medical Sciences, National University of Córdoba, Córdoba, Argentina
- Johns Hopkins University—Universitat Pompeu Fabra Public Policy (JHU-UPF PPC), Universitat Pompeu Fabra (UPF) - UPF Barcelona School of Management (UPF-BSM), Barcelona, Spain
| | - Kari Moore
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
| | | | - Brisa N Sánchez
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
| | - Carolina Pérez-Ferrer
- Center for Research in Population Health, National Institute of Public Health, Mexico
| | | | - Mónica Mazariegos
- INCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama (INCAP), Guatemala City, Guatemala
| | - Usama Bilal
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
| | - Mariana Lazo
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
- Department of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
| |
Collapse
|
28
|
Jalilzadeh M, Goharinezhad S. Exploring the multifaceted factors influencing overweight and obesity: a scoping review. Front Public Health 2025; 13:1540756. [PMID: 40270730 PMCID: PMC12014677 DOI: 10.3389/fpubh.2025.1540756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2024] [Accepted: 03/07/2025] [Indexed: 04/25/2025] Open
Abstract
Introduction Obesity and overweight problems in public health have substantial impacts which affect the health status of individuals and community well-being and healthcare service provision worldwide. This scoping review aims to identify and classify factors from social, technological, environmental, economic and political domains which influence obesity and overweight conditions. The systematic analysis of determinants in this study generates usable information to guide public health intervention design and obesity epidemic management strategies. Methods The study utilized the ProQuest, ISI Web of Science, PubMed, and Scopus databases, and it also included grey literature in its analysis. The research objectives focused on identifying factors that contribute to overweight or obesity issues. The researchers used framework analysis to examine the qualitative data collected from these studies. Results The synthesis incorporated 121 research studies which satisfied the established criteria. This comprised 98 studies from 46 different countries, 17 studies conducted at the international level, and 6 studies involving multiple countries. Eighty-two factors influencing overweight and obesity were identified as determinants and categorized into five main categories: sociocultural, economic, technological, environmental, and political. Most of the identified determinants belong to the socio-cultural category, which demonstrates their substantial impact on lifestyle and health behaviors. Conclusion The implementation of public health prevention and intervention programs depends on complete knowledge of all factors that affect overweight and obesity rates. This issue needs a comprehensive approach which analyzes sociocultural aspects together with economic, technological, environmental, and political factors, as well as other policy goals within defined societal challenges. Effective solutions to resolve this situation depend on multi-sectoral collaboration to tackle obesity and promote health-enhancing factors for the entire community.
Collapse
Affiliation(s)
| | - Salime Goharinezhad
- Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
29
|
Hassan BK, Silva de Moraes VL, Mais LA, Thomaz Maya Martins AM, Fragano Baird M, Albiero MS, Johns P, Paes de Carvalho CM. Disputes over the agenda to promote adequate and healthy eating - How the agri-food sector interfered in the Brazilian Tax Reform. Soc Sci Med 2025; 371:117747. [PMID: 40073520 DOI: 10.1016/j.socscimed.2025.117747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 01/13/2025] [Accepted: 01/20/2025] [Indexed: 03/14/2025]
Abstract
BACKGROUND while the Brazilian Tax Reform (TR) is underway, this study aimed to identify the main food taxes events and to map corporate political activities (CPA) of the agri-food sector. METHODS We gathered bibliographical and documentary research from January 2023 to April 2024 of the TR and the CPA from agri-food companies, trade associations and front groups. RESULTS We found 78 CPA action strategies and 32 framing strategies. In 2024, CPA strategies occurred 20 times. The most frequent CPA action strategy was 'Manufacture public support for corporate positions'', by the mechanism 'Maximize corporate-favorable media content'. The most frequent CPA framing strategy was 'The 'trivial' and 'individual' problem: created by a minority of consumers', by the mechanism 'Health harms are not caused by Industry's products/services'. DISCUSSION CPA strategies resulted in UPFP off the excise tax. Civil society drove the UPFP debate, and the soda tax and the National Basic Food Basket were included in the TR. CONCLUSION This study shares industry interference learnings and can help to develop mechanisms that address Commercial Determinants of Health.
Collapse
Affiliation(s)
| | | | - Laís Amaral Mais
- Consumer Protection Institute (Idec), São Paulo, São Paulo, Brazil
| | | | | | | | - Paula Johns
- ACT Health Promotion, Rio de Janeiro, Rio de Janeiro, Brazil
| | | |
Collapse
|
30
|
Gomez-Donoso C, Kelly B, Martino F, Cameron AJ, Richter APC, Sacks G, Vanderlee L, White CM, Hammond D, Backholer K. Public support for unhealthy food marketing policies in Australia: A cross-sectional analysis of the International Food Policy Study 2022. Aust N Z J Public Health 2025; 49:100231. [PMID: 40155292 PMCID: PMC12068936 DOI: 10.1016/j.anzjph.2025.100231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2024] [Revised: 02/04/2025] [Accepted: 02/19/2025] [Indexed: 04/01/2025] Open
Abstract
OBJECTIVE This study aimed to explore public opinion towards food marketing policies. METHODS In 2022, a cross-sectional online survey was completed by 3,923 adults in Australia, including 1,152 caregivers of children aged <18 years. Concern about children's exposure to unhealthy food marketing was assessed among caregivers. Public support for seven policy options to restrict unhealthy food marketing in different media and settings (broadcast, online, outdoors, packaging and retail) was quantified. Multivariable regression analyses were conducted to examine sociodemographic differences. RESULTS Most caregivers (85%) reported some degree of concern about their child's exposure to unhealthy food marketing. Among all respondents, there was a high level of support or neutrality (>70%) for all policies aimed at restricting unhealthy food marketing. Respondents who were female, older, highly educated, who identified as Aboriginal and/or Torres Strait Islander, perceived their monthly income as adequate or had at least one child living in the household reported higher support/neutrality towards several of the assessed policies. CONCLUSIONS Most Australian adults were supportive or neutral towards policies restricting unhealthy food marketing. The level of support varied depending on the policy's target group and its setting. IMPLICATIONS FOR PUBLIC HEALTH Implementing unhealthy food marketing policies in Australia would most likely have broad public support and minimal opposition.
Collapse
Affiliation(s)
- Clara Gomez-Donoso
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Australia.
| | - Bridget Kelly
- Early Start, School of Health & Society, Faculty of the Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia
| | - Florentine Martino
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Adrian J Cameron
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Ana Paula C Richter
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Australia; Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, United States of America
| | - Gary Sacks
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Australia
| | - Lana Vanderlee
- École de Nutrition, Centre Nutrition, santé et société, Université Laval, Québec, Canada
| | - Christine M White
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
| | - David Hammond
- School of Public Health Sciences, University of Waterloo, Waterloo, Canada
| | - Kathryn Backholer
- Global Centre for Preventive Health and Nutrition, Institute for Health Transformation, Deakin University, Geelong, Australia
| |
Collapse
|
31
|
Houben K, Dibbets P. Taming temptations: Comparing the effectiveness of counterconditioning and extinction in reducing food cue reactivity. Appetite 2025; 208:107932. [PMID: 40020972 DOI: 10.1016/j.appet.2025.107932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 01/06/2025] [Accepted: 02/25/2025] [Indexed: 03/03/2025]
Abstract
In today's "obesogenic" environment, Pavlovian cues signaling the availability of high-calorie foods may elicit strong expectancies of eating and food cravings. Such cue-elicited appetitive responses, collectively referred to as food cue reactivity, may foster overeating and weight gain. Moreover, food-related cues may also elicit instrumental actions aimed at obtaining those foods via Pavlovian-to-Instrumental Transfer (PIT). This study compared extinction and counterconditioning in reducing food cue reactivity, measured by outcome expectancies, craving, and liking, as well as in decreasing outcome-specific PIT. We used a three-phase PIT paradigm: In the first two phases, participants learned Pavlovian associations between two conditioned stimuli (CSs+) and two food outcomes, and instrumental associations between two responses and the same outcomes. An additional stimulus was never paired with food outcomes (CS-). Participants then underwent either extinction or counterconditioning for one CS+ while the other CS+ remained unchanged, or received no additional learning (control). In the test phase, instrumental responding was measured in the presence and absence of Pavlovian stimuli. In all phases, we measured outcome expectancies, craving and liking of the Pavlovian stimuli. Both extinction and counterconditioning reduced cue-elicited outcome expectancies, but only counterconditioning significantly decreased CS+ liking. Neither procedure effectively reduced cue-elicited craving. Outcome-specific PIT was observed across conditions, though counterconditioning lead to a general decrease in instrumental responding to all stimuli in the test phase. These findings suggest that counterconditioning more effectively targets the affective value of conditioned stimuli and reduces food cue reactivity compared to extinction, though its impact on PIT warrants further investigation.
Collapse
Affiliation(s)
- Katrijn Houben
- Clinical Psychological Science, Maastricht University, the Netherlands.
| | - Pauline Dibbets
- Clinical Psychological Science, Maastricht University, the Netherlands
| |
Collapse
|
32
|
Aychiluhm SB, Mondal UK, Isaac V, Ross AG, Ahmed KY. Interventions for Childhood Central Obesity: A Systematic Review and Meta-Analysis. JAMA Netw Open 2025; 8:e254331. [PMID: 40214992 PMCID: PMC11992610 DOI: 10.1001/jamanetworkopen.2025.4331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2024] [Accepted: 02/09/2025] [Indexed: 04/14/2025] Open
Abstract
Importance The rapid rise in childhood central obesity and its cardiometabolic complications in adulthood highlight the urgent need for targeted global interventions. Objective To examine the association of lifestyle, behavioral, and pharmacological interventions with childhood central obesity. Data Sources MEDLINE, Embase, CINHAL, PsycINFO, PubMed, Academic Search Database, and ProQuest from inception to September 25, 2024. Study Selection Inclusion criteria included (1) randomized clinical trials (RCTs) focusing on children aged 5 to 18 years with overweight or obesity at baseline and (2) measured central obesity as a primary or secondary outcome. Data Extraction and Synthesis The Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guideline was followed. Two authors independently extracted data. Risk of bias was assessed using the revised Cochrane risk-of-bias tool (RoB 2.0). A random-effects meta-analysis was conducted to pool standardized mean differences (SMD) from individual studies. Sensitivity analysis, meta-regression, and subgroup analyses were also conducted. Main Outcomes and Measures The main outcome was childhood central obesity measured using waist circumference (WC), waist-to-height ratio, waist-to-hip ratio, and WC z score. Results This review included 34 RCTs, involving 8183 children aged 5 to 18 years. Twelve studies had a low risk of bias, whereas 8 were deemed to have a higher risk of bias. The meta-analysis of 2 RCTs examining low-fat lunchboxes and a Mediterranean diet along with physical activity (lasting up to 150 minutes per week over 6 to 9 months) showed a significant association with WC (standard mean difference [SMD], -0.38 [95% CI, -0.58 to -0.19]). Five additional RCTs involved behavioral interventions on dietary education to reduce unhealthy snacks, increase fruit and vegetable intake, promote daily physical activity, and limit screen time, supported by online resources also showed a significant association with WC (SMD, -0.54 [95% CI, -1.06 to -0.03]). However, standalone dietary, physical activity, pharmacotherapy, dietary supplements, motivational interviewing, and combined dietary, physical activity, and behavioral methods did not show a significant association with WC. Conclusions and Relevance In this meta-analysis of RCTs, combining dietary changes with physical activity, as well as using behavioral strategies alone, were associated with reduced central obesity in children from high- and middle-income countries. Findings from this study have policy implications for Sustainable Development Goals of ending all forms of malnutrition and reducing premature mortality from noncommunicable diseases.
Collapse
Affiliation(s)
- Setognal B. Aychiluhm
- Rural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia
- Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Utpal K. Mondal
- Rural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia
| | - Vivian Isaac
- School of Allied Health, Exercise & Sports Sciences, Faculty of Science & Health, Charles Sturt University, Albury, New South Wales, Australia
| | - Allen G. Ross
- Rural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia
| | - Kedir Y. Ahmed
- Rural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia
- Translational Health Research Institute, Western Sydney University, Campbelltown Campus, New South Wales, Australia
| |
Collapse
|
33
|
Trindade TS, Duarte HN, Brito TM, Silva JV, Aguiar BB, Costa M. Nurturing healthy futures: social and familial influences on childhood obesity. World J Pediatr 2025; 21:328-332. [PMID: 40281383 DOI: 10.1007/s12519-025-00906-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2025] [Revised: 03/26/2025] [Accepted: 03/27/2025] [Indexed: 04/29/2025]
Affiliation(s)
- Tiago Santos Trindade
- Department of Pediatrics and Neonatology, Unidade Local de Saúde Entre Douro e Vouga, R. Dr. Cândido Pinho, 4520-220, Santa Maria da Feira, Portugal.
| | - Helena Neta Duarte
- Department of Pediatrics, Unidade Local de Saúde São João, UAG da Mulher e Criança, Porto, Portugal
| | - Tiago Marçal Brito
- Department of Pediatrics, Centro Materno-Infantil do Norte, Unidade Local de Saúde Santo António, Porto, Portugal
| | - Joana Vanessa Silva
- Department of Pediatrics and Neonatology, Unidade Local de Saúde Entre Douro e Vouga, R. Dr. Cândido Pinho, 4520-220, Santa Maria da Feira, Portugal
| | - Benedita Bianchi Aguiar
- Department of Pediatrics and Neonatology, Unidade Local de Saúde Entre Douro e Vouga, R. Dr. Cândido Pinho, 4520-220, Santa Maria da Feira, Portugal
| | - Miguel Costa
- Department of Pediatrics and Neonatology, Unidade Local de Saúde Entre Douro e Vouga, R. Dr. Cândido Pinho, 4520-220, Santa Maria da Feira, Portugal
| |
Collapse
|
34
|
Bower P, Soiland-Reyes C, Bennett C, Brunton L, Burch P, Cameron E, Chandola T, Chatzi G, Cotterill S, French DP, Gellatly J, Hann M, Hawkes R, Heller S, Holland F, Howarth E, Howells K, Kontopantelis E, Lowndes E, Marsden A, Mason T, McManus E, Meacock R, Miles L, Mistry M, Murray E, Parkinson B, Ravindrarajah R, Reeves D, Ross J, Sanders C, Stokes J, Wallworth H, Watkinson R, Wattal V, Whittaker W, Wilson P, Woodham A, Sutton M. The effectiveness and cost-effectiveness of the NHS Diabetes Prevention Programme (NHS-DPP): the DIPLOMA long-term multimethod assessment. HEALTH AND SOCIAL CARE DELIVERY RESEARCH 2025; 13:1-47. [PMID: 40323644 DOI: 10.3310/mwkj5102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2025]
Abstract
Background Type 2 diabetes is considered a critical challenge to modern healthcare systems. The National Health Service Diabetes Prevention Programme delivered an evidence-based behaviour change programme at a national scale to reduce the incidence of type 2 diabetes in England. Objective(s) The Diabetes Prevention - Long-term Multimethod Assessment research programme provided a comprehensive assessment of the delivery of the National Health Service Diabetes Prevention Programme and its effectiveness and cost-effectiveness. Design Mixed-methods research including qualitative methods, observations, patient surveys and secondary analysis of administrative and survey data using statistical and econometric methods. Setting Community settings in England delivering the commissioned intervention, supported by general practices responsible for recruitment and referral. Participants Patients in community settings identified as being at high risk of type 2 diabetes offered and participating in the National Health Service Diabetes Prevention Programme, and staff involved in the organisation and delivery of the service. Interventions The National Health Service Diabetes Prevention Programme, including its evidence-based behaviour change intervention (using both face-to-face and digital platforms) and the associated services for patient recruitment. Main outcome measures Incidence of type 2 diabetes, cost-effectiveness, access to the programme and fidelity of intervention delivery. Data sources Interviews with patients and staff, document analysis and observations of the National Health Service Diabetes Prevention Programme delivery, patient surveys, secondary data (including National Health Service Diabetes Prevention Programme data, national surveys and audits). Results The National Health Service Diabetes Prevention Programme was associated with significant reductions in incidence of type 2 diabetes and was highly likely to be cost-effective. Analyses of the delivery of the programme highlighted several aspects which impacted access to the programme and the fidelity with which the behaviour change intervention was delivered. For example, uptake and adherence were influenced by participants' psychosocial beliefs (e.g. chance of getting type 2 diabetes and whether taking part would reduce this). There were large differences between general practices in how many people they referred to the programme, with practices that offered higher-quality care for people with diabetes referring more. Variation in retention and outcomes was associated with differences in providers. Limitations Analysis of administrative data to explore effectiveness and cost-effectiveness may be influenced by confounding. Recruitment of diverse and representative samples for surveys, interviews and observations was likely impacted by selection. Conclusions The National Health Service Diabetes Prevention Programme is highly likely to be cost-effective. Data from Diabetes Prevention - Long-term Multimethod Assessment have been used to improve aspects of programme delivery and could suggest further enhancements to improve recruitment, retention and fidelity. Future work Future research should address the question of whether the National Health Service Diabetes Prevention Programme prevents or delays type 2 diabetes when longer-term follow-up data are available. We identified factors that could be targeted to impact on recruitment, retention and inequalities, and recommend a robust assessment of the link between fidelity and outcomes. Funding This synopsis presents independent research funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme as award number 16/48/07.
Collapse
Affiliation(s)
- Peter Bower
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- NIHR School for Primary Care Research, University of Manchester, Manchester, UK
| | | | - Carole Bennett
- DIPLOMA Patient and Public Involvement Group, University of Manchester, Manchester, UK
| | - Lisa Brunton
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Patrick Burch
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Elaine Cameron
- Division of Psychology & Mental Health, School of Health Sciences, Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
- Division of Psychology, University of Stirling, Stirling, UK
| | - Tarani Chandola
- Faculty of Social Sciences, University of Hong Kong, Hong Kong
| | - Georgia Chatzi
- Faculty of Social Sciences, University of Hong Kong, Hong Kong
| | - Sarah Cotterill
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - David P French
- Division of Psychology & Mental Health, School of Health Sciences, Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
| | - Judith Gellatly
- Division of Nursing, Midwifery and Social Work, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Mark Hann
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Rhiannon Hawkes
- Division of Psychology & Mental Health, School of Health Sciences, Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
| | - Simon Heller
- Department of Oncology and Metabolism; University of Sheffield, Sheffield, UK
| | - Fiona Holland
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Elizabeth Howarth
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Kelly Howells
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Evangelos Kontopantelis
- NIHR School for Primary Care Research, University of Manchester, Manchester, UK
- Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Eric Lowndes
- DIPLOMA Patient and Public Involvement Group, University of Manchester, Manchester, UK
| | - Antonia Marsden
- Centre for Biostatistics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Thomas Mason
- Manchester Centre for Health Economics, Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Emma McManus
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Rachel Meacock
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Lisa Miles
- Division of Psychology & Mental Health, School of Health Sciences, Manchester Centre for Health Psychology, University of Manchester, Manchester, UK
- National Institute for Health and Care Excellence, Manchester, UK
| | - Manoj Mistry
- DIPLOMA Patient and Public Involvement Group, University of Manchester, Manchester, UK
| | - Elizabeth Murray
- eHealth Unit, Research Department of Primary Care and Population Health, UCL Medical School, London, UK
| | - Beth Parkinson
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Rathi Ravindrarajah
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - David Reeves
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- NIHR School for Primary Care Research, University of Manchester, Manchester, UK
| | - Jamie Ross
- Centre for Primary Care, Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Caroline Sanders
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Jonathan Stokes
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Helen Wallworth
- DIPLOMA Patient and Public Involvement Group, University of Manchester, Manchester, UK
| | - Ruth Watkinson
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Vasudha Wattal
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - William Whittaker
- Manchester Centre for Health Economics, Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Paul Wilson
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Adrine Woodham
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Matt Sutton
- Division of Population Health, Health Services, Research and Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- NIHR School for Primary Care Research, University of Manchester, Manchester, UK
| |
Collapse
|
35
|
Anastasiou IA, Kounatidis D, Vallianou NG, Skourtis A, Dimitriou K, Tzivaki I, Tsioulos G, Rigatou A, Karampela I, Dalamaga M. Beneath the Surface: The Emerging Role of Ultra-Processed Foods in Obesity-Related Cancer. Curr Oncol Rep 2025; 27:390-414. [PMID: 40014232 PMCID: PMC11976848 DOI: 10.1007/s11912-025-01654-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/11/2025] [Indexed: 02/28/2025]
Abstract
PURPOSEOF REVIEW Ultra-processed foods (UPFs) are becoming more and more important in daily diets around the world; in some cases, they can account for as much as 60% of daily energy intake. Epidemiological evidence suggests that this shift toward high levels of food processing may be partially responsible for the global obesity epidemic and the rise in the prevalence of chronic diseases. RECENT FINDINGS Few prospective studies have examined the relationship between UPF consumption and cancer outcomes. According to currently available information, UPFs may increase the risk of cancer due to their obesogenic properties and exposure to substances that can cause cancer, such as certain food additives and pollution from product processing. The complex relationship between obesity and cancer involves factors such as immune dysregulation, altered adipokine and sex hormone levels, abnormal fatty acid metabolism, extracellular matrix remodeling, and chronic inflammation. Addressing cancer risk associated with UPF consumption could involve a multifaceted approach, including consumer behavior modification programs and robust public health regulations aimed at enhancing food environments. Improved knowledge of the potential dual negative impacts of UPFs on the environment and cancer risk is one of the priority areas we identify for future research and policy implications. Various approaches could be used to prevent cancers associated with UPF consumption, such as consumer behavior change programs and stricter public health regulations needed to improve the food environment. This review examines for the first time the potential role of UPFs in cancer risk associated with obesity, exploring underlying biological mechanisms and identifying key areas for future research and policy action, including the dual environmental and health impact of UPFs.
Collapse
Affiliation(s)
- Ioanna A Anastasiou
- Diabetes CenterDepartment of Propaedeutic Internal MedicineMedical School, Laiko General Hospital, National and Kapodistrian University of Athens, FirstAthens, Greece
- Department of Pharmacology, National and Kapodistrian University of Athens, 11527, Athens, Greece
| | - Dimitris Kounatidis
- Diabetes CenterDepartment of Propaedeutic Internal MedicineMedical School, Laiko General Hospital, National and Kapodistrian University of Athens, FirstAthens, Greece
| | - Natalia G Vallianou
- First Department of Internal Medicine, Sismanogleio General Hospital, 15126, Athens, Greece
| | - Alexandros Skourtis
- Department of Internal Medicine, Evangelismos General Hospital, 10676, Athens, Greece
| | - Krystalia Dimitriou
- Second Department of Internal Medicine, Medical School, National &, Hippokratio General Hospital, Kapodistrian University of Athens, 11527, Athens, Greece
| | - Ilektra Tzivaki
- First Department of Internal Medicine, Sismanogleio General Hospital, 15126, Athens, Greece
| | - Georgios Tsioulos
- Fourth Department of Internal Medicine, Medical School, Attikon General University Hospital, National and Kapodistrian University of Athens, 12462, Athens, Greece
| | - Anastasia Rigatou
- First Department of Internal Medicine, Sismanogleio General Hospital, 15126, Athens, Greece
| | - Irene Karampela
- Second Department of Critical Care, Medical School, Attikon General University Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Maria Dalamaga
- Department of Biological Chemistry, National and Kapodistrian University of Athens, 11527, Athens, Greece.
| |
Collapse
|
36
|
Ichikawa T, Hashimoto Y, Okamura T, Obora A, Kojima T, Okada H, Hamaguchi M, Fukui M. Relationship between anthropometric measures and the risk of incident Metabolic dysfunction-associated steatotic liver disease: a longitudinal study. BMC Gastroenterol 2025; 25:202. [PMID: 40140744 PMCID: PMC11948872 DOI: 10.1186/s12876-025-03780-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2024] [Accepted: 03/12/2025] [Indexed: 03/28/2025] Open
Abstract
BACKGROUND Waist circumference (WC) and body mass index (BMI) are considered useful for the diagnosis of metabolic dysfunction-associated steatotic liver disease (MASLD). This study aimed to investigate the association between the body roundness index (BRI) and a body shape index (ABSI) with incident MASLD, in comparison to WC and BMI. METHODS Retrospective cohort data from a Japanese health check-up program were analyzed. Logistic regression model was used to evaluate the associations between anthropometric measure quartiles and MASLD, and receiver operating characteristic (ROC) analysis was performed to evaluate the associations between anthropometric measures and incident MASLD, stratified by sex. RESULTS A total of 10,561 males and 7,187 females were included, of whom 3,182 males and 914 females developed MASLD. Multivariate analysis revealed that higher WC, BMI, and BRI were associated with incident MASLD in both sexes, whereas higher ABSI was significantly associated with incident MASLD only in females. Among males, the area under the ROC curve (AUC) of BMI was higher than that of WC, BRI, and ABSI. Conversely, among females, the AUC of BMI was higher than that of ABSI, whereas it was comparable to that of WC or BRI. The AUC and the optimal cut-off values of BMI for predicting incident MASLD were 0.77 and 23.9 kg/m2 in males, and 0.86 and 22.2 kg/m2 in females. The optimal cut-off values of WC were 82.0 cm for males and 76.3 cm for females, respectively. CONCLUSIONS We demonstrated the strongest association between BMI and incident MASLD compared to other measures, particularly in males, while also showing a strong association in females. Additionally, specific WC criteria for Asians to improve MASLD diagnosis are needed.
Collapse
Affiliation(s)
- Takahiro Ichikawa
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Yoshitaka Hashimoto
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
- Department of Diabetes and Endocrinology, Matsushita Memorial Hospital, 5-55 Sotojima-cho, Moriguchi, 570-8540, Japan
| | - Takuro Okamura
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Akihiro Obora
- Department of Gastroenterology, Asahi University Hospital, Gifu, Japan
| | - Takao Kojima
- Department of Gastroenterology, Asahi University Hospital, Gifu, Japan
| | - Hiroshi Okada
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| | - Masahide Hamaguchi
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan.
| | - Michiaki Fukui
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto, 602-8566, Japan
| |
Collapse
|
37
|
Hâncean MG, Lerner J, Perc M, Molina JL, Geantă M, Oană I, Mihăilă BE. Processed food intake assortativity in the personal networks of older adults. Sci Rep 2025; 15:10459. [PMID: 40140615 PMCID: PMC11947270 DOI: 10.1038/s41598-025-94969-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2024] [Accepted: 03/18/2025] [Indexed: 03/28/2025] Open
Abstract
Existing research indicates that dietary habits spread through social networks, yet the impact on populations in Eastern Europe, particularly in rural areas, is less understood. We examine the influence of personal networks on the consumption of high-salt processed foods among individuals in rural Romania, with a specific focus on older adults. Using a personal network analysis, we analyze data from 83 participants of varying ages and their social contacts through multi-level regression models. The inclusion of participants across a wider age range allows us to capture the broader dynamics of social networks, reflecting the intergenerational nature of rural communities. Our findings reveal assortativity in dietary habits, indicating that individuals cluster with others who share similar food consumption patterns. Our results underscore the need for public health interventions that account for the influence of social networks on dietary behavior, as addressing high salt intake and its associated health risks may require considering the broader social context beyond older adults. The study contributes to understanding the social determinants of dietary behaviors and highlights the role of personal networks in shaping food choices in vulnerable populations.
Collapse
Affiliation(s)
- Marian-Gabriel Hâncean
- Department of Sociology, University of Bucharest, Panduri 90-92, Bucharest, 050663, Romania.
- Center for Innovation in Medicine, Theodor Pallady Blv. 42J, Bucharest, 032266, Romania.
| | - Jürgen Lerner
- Department of Computer and Information Science, University of Konstanz, 78457, Konstanz, Germany
| | - Matjaž Perc
- Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška cesta 160, Maribor, 2000, Slovenia
- Community Healthcare Center Dr. Adolf Drolc Maribor, Vošnjakova ulica 2, Maribor, 2000, Slovenia
- University College, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea
- Department of Physics, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, Republic of Korea
| | - José Luis Molina
- GRAFO-Department of Social and Cultural Anthropology, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, 08193, Spain
| | - Marius Geantă
- Center for Innovation in Medicine, Theodor Pallady Blv. 42J, Bucharest, 032266, Romania
| | - Iulian Oană
- Department of Sociology, University of Bucharest, Panduri 90-92, Bucharest, 050663, Romania
- Center for Innovation in Medicine, Theodor Pallady Blv. 42J, Bucharest, 032266, Romania
| | - Bianca-Elena Mihăilă
- Department of Sociology, University of Bucharest, Panduri 90-92, Bucharest, 050663, Romania
- Center for Innovation in Medicine, Theodor Pallady Blv. 42J, Bucharest, 032266, Romania
| |
Collapse
|
38
|
Carvalho F, Tavares SS, Lahlou RA, Varges A, Araújo ARTS, Fonseca C, Silva LR. Rural Health: Low Obesity Rates Among Students in Portugal's Countryside. Nutrients 2025; 17:1153. [PMID: 40218911 PMCID: PMC11990436 DOI: 10.3390/nu17071153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2025] [Revised: 03/17/2025] [Accepted: 03/25/2025] [Indexed: 04/14/2025] Open
Abstract
Dietary habits significantly influence students' health status, with overweight and obesity posing serious global challenges linked to chronic diseases like type 2 diabetes and cardiovascular conditions. Our cross-sectional study assessed overweight and obesity prevalence among students in Guarda, Portugal, analyzing the nutritional and lifestyle habits of 2083 students aged 6 to 58 years. The sample included 1762 school children and 321 higher education adults, grouped into age intervals: 5-12, 13-19, 20-39, and 40-59 years. BMI analysis revealed obesity rates of 9.1% in children and 9.7% in adults, with younger children, particularly males, showing higher rates compared to older children. Increased physical activity and reduced sedentary time were correlated with a lower BMI. The observed obesity rates suggest that factors such as physical activity levels, traditional dietary patterns, and access to fresh foods in this region of Portugal may contribute to better health outcomes among students.
Collapse
Affiliation(s)
- Filomena Carvalho
- SPRINT-IPG, Sport Physical Activity and Health Research e Innovation Center, Polytechnic of Guarda, 6300-559 Guarda, Portugal; (F.C.); (R.A.L.); (A.V.)
| | - Sofia Silva Tavares
- Polytechnic of Guarda, 6300-559 Guarda, Portugal; (S.S.T.); (A.R.T.S.A.); (C.F.)
| | - Radhia Aitfella Lahlou
- SPRINT-IPG, Sport Physical Activity and Health Research e Innovation Center, Polytechnic of Guarda, 6300-559 Guarda, Portugal; (F.C.); (R.A.L.); (A.V.)
| | - Alexandra Varges
- SPRINT-IPG, Sport Physical Activity and Health Research e Innovation Center, Polytechnic of Guarda, 6300-559 Guarda, Portugal; (F.C.); (R.A.L.); (A.V.)
| | - André R. T. S. Araújo
- Polytechnic of Guarda, 6300-559 Guarda, Portugal; (S.S.T.); (A.R.T.S.A.); (C.F.)
- LAQV-REQUIMTE, Department of Chemical Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Cecília Fonseca
- Polytechnic of Guarda, 6300-559 Guarda, Portugal; (S.S.T.); (A.R.T.S.A.); (C.F.)
- CMA, Center of Mathematics and Applications, University of Beira Interior, 6201-506 Covilhã, Portugal
| | - Luís R. Silva
- SPRINT-IPG, Sport Physical Activity and Health Research e Innovation Center, Polytechnic of Guarda, 6300-559 Guarda, Portugal; (F.C.); (R.A.L.); (A.V.)
- RISE-UBI, Health Sciences Research Centre, University of Beira Interior, 6201-506 Covilhã, Portugal
- CERES, Department of Chemical Engineering, University of Coimbra, 3030-790 Coimbra, Portugal
| |
Collapse
|
39
|
Lin F, Gilbertson TA. Fat taste responsiveness, but not dietary fat intake, is affected in Adipor1 null mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.03.12.642880. [PMID: 40161824 PMCID: PMC11952482 DOI: 10.1101/2025.03.12.642880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/02/2025]
Abstract
Taste is a major driving force that influences food choices and dietary intake. Adiponectin has been shown to selectively enhance cellular responses to fatty acids by mediating the activation of AMPK and translocation of CD36 in taste cells via its receptor AdipoR1. Whether Adipor1 gene knockout affects fat taste responsiveness and dietary fat intake in animals remains unclear. In the present study, we evaluated cellular, neural, and behavioral responses to fat, as well as the dietary fat intake in global Adipor1 knockout mice and their WT controls. Sex-specific changes in cellular and behavioral responses to fatty acid were observed in Adipor1 knockout mice. Linoleic acid (LA)-induced calcium responsiveness appears to be reduced in taste cells from Adipor1-deficient males and increased in taste cells from Adipor1-deficient females. Brief-access taste testing revealed a loss of fat taste behavioral responsiveness in naïve Adipor1 -/- animals. Fat taste loss found in Adipor1 -/- males was restored after fat exposure and showed no significant differences in taste behavioral responses to fatty acids with WT controls in two-bottle preference and conditioned taste aversion tests. Adipor1 -/- females were found to have diminished preference for LA in two-bottle preference tests, lower intralipid/water lick ratio in a brief-access assay, and reduced avoidance for LA in conditioned taste aversion assay. Furthermore, the taste nerve responses to intralipid and the dietary fat intakes appeared to be the same between Adipor1 -/- and WT mice. In the high-fat diet feeding study, Adipor1 -/- females gained more weight, while no differences in body weight gain were found in males. Together, we show that adiponectin/AdipoR1 signaling plays crucial sex-specific roles in the modulation of fat taste and the maintenance of healthy body weight primarily by regulating energy expenditure rather than dietary fat intake in mice.
Collapse
Affiliation(s)
- Fangjun Lin
- Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL 32827, USA
- Department of Internal Medicine, College of Medicine, University of Central Florida, Orlando, FL 32827, USA
| | - Timothy A. Gilbertson
- Department of Internal Medicine, College of Medicine, University of Central Florida, Orlando, FL 32827, USA
| |
Collapse
|
40
|
Cárdenas-Anguiano JJ, Quiroz-Gomez S, Guzmán-Priego CG, Celorio-Méndez KDS, Baños-González MA, Jiménez-Sastré A, Baeza-Flores GDC, Albarran-Melzer JA. Estimation of the Burden of Ischemic Heart Disease in the Tabasco Population, Mexico, 2013-2021. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2025; 22:423. [PMID: 40238546 PMCID: PMC11941872 DOI: 10.3390/ijerph22030423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2025] [Revised: 03/02/2025] [Accepted: 03/06/2025] [Indexed: 04/18/2025]
Abstract
INTRODUCTION The burden of disease measures the total impact of diseases on a population, considering incidence, prevalence, disability, and premature mortality. This study analyzes the burden of ischemic heart disease (IHD) in Tabasco, Mexico, from 2013 to 2021. Ischemic heart disease has a significant incidence of 21,203,479 cases worldwide, and nationally (inside Mexico) a total of 221,747 cases, with more than 9,137,791 deaths due to this pathology globally. OBJECTIVE To analyze the burden of ischemic heart disease in Tabasco, Mexico, during the 2013-2021 period. METHODS An observational, descriptive, longitudinal, and retrospective study was conducted in Tabasco. The study population consisted of 2,402,598 people according to INEGI, with a sample of 927,000 adults (462,000 men and 465,000 women). Data were used from the General Directorate of Health Information, IHME, and the World Bank. Analyses were performed in Microsoft Excel, calculating measures of central tendency, dispersion, and Disability-Adjusted Life Years (DALYs). RESULTS The DALYs in the adult population of Tabasco were: 2013-23,932; 2014-28,132; 2015-30,197; 2016-30,683; 2017-31,839; 2018-38,599; 2019-40,046; 2020-42,307; and 2021-55,723, totaling 297,576 DALYs from 2013 to 2021. DISCUSSION Ischemic heart disease increased in incidence and mortality in both men and women during the years analyzed. The increase in DALYs indicates a greater impact of ischemic heart disease in Tabasco compared to countries like Costa Rica. CONCLUSION The burden of ischemic heart disease from 2013 to 2021 represents a significant loss of quality and years of life in the population of Tabasco, Mexico.
Collapse
Affiliation(s)
- Jesús Josué Cárdenas-Anguiano
- Health Sciences Academic Division (DACS), Juarez Autonomous University of Tabasco (UJAT), Villahermosa 86040, Mexico; (J.J.C.-A.); (K.d.S.C.-M.); (M.A.B.-G.); (A.J.-S.); (J.A.A.-M.)
| | - Sergio Quiroz-Gomez
- Health Sciences Academic Division (DACS), Juarez Autonomous University of Tabasco (UJAT), Villahermosa 86040, Mexico; (J.J.C.-A.); (K.d.S.C.-M.); (M.A.B.-G.); (A.J.-S.); (J.A.A.-M.)
| | - Crystell Gudalupe Guzmán-Priego
- Cardiometabolism Laboratory, Research Center, Health Sciences Academic Division (DACS), Juarez Autonomous University of Tabasco (UJAT), Villahermosa 86040, Mexico; (C.G.G.-P.); (G.d.C.B.-F.)
| | - Karla del Socorro Celorio-Méndez
- Health Sciences Academic Division (DACS), Juarez Autonomous University of Tabasco (UJAT), Villahermosa 86040, Mexico; (J.J.C.-A.); (K.d.S.C.-M.); (M.A.B.-G.); (A.J.-S.); (J.A.A.-M.)
| | - Manuel Alfonso Baños-González
- Health Sciences Academic Division (DACS), Juarez Autonomous University of Tabasco (UJAT), Villahermosa 86040, Mexico; (J.J.C.-A.); (K.d.S.C.-M.); (M.A.B.-G.); (A.J.-S.); (J.A.A.-M.)
| | - Alejandro Jiménez-Sastré
- Health Sciences Academic Division (DACS), Juarez Autonomous University of Tabasco (UJAT), Villahermosa 86040, Mexico; (J.J.C.-A.); (K.d.S.C.-M.); (M.A.B.-G.); (A.J.-S.); (J.A.A.-M.)
| | - Guadalupe del Carmen Baeza-Flores
- Cardiometabolism Laboratory, Research Center, Health Sciences Academic Division (DACS), Juarez Autonomous University of Tabasco (UJAT), Villahermosa 86040, Mexico; (C.G.G.-P.); (G.d.C.B.-F.)
| | - Jorda Aleiria Albarran-Melzer
- Health Sciences Academic Division (DACS), Juarez Autonomous University of Tabasco (UJAT), Villahermosa 86040, Mexico; (J.J.C.-A.); (K.d.S.C.-M.); (M.A.B.-G.); (A.J.-S.); (J.A.A.-M.)
| |
Collapse
|
41
|
Cui Y, Qi Q, Sun Y, Liu R, Yin W, Liu H. Nutrition literacy is associated with general obesity, abdominal obesity, and body fat percentage obesity. Front Nutr 2025; 12:1555725. [PMID: 40144565 PMCID: PMC11936784 DOI: 10.3389/fnut.2025.1555725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2025] [Accepted: 02/27/2025] [Indexed: 03/28/2025] Open
Abstract
Background Obesity is associated with unhealthy eating behavior among adults. Nutrition literacy (NL) is an important determinant of eating behavior. This study investigated the association of NL with general obesity, abdominal obesity, and body fat percentage (BFP) obesity among adults. Methods This study was a cross-sectional survey on the Nutrition Literacy and Obesity, conducted in Bengbu City, China (May to July 2023). The Short-Form Nutrition Literacy scale was used to evaluate the NL of adults. General obesity was defined as a body mass index of ≥28 kg/m2. Abdominal obesity was defined as a waist circumference of ≥90 cm in men and ≥85 cm in women. BFP obesity was defined as a BFP of ≥30% in men and ≥42% in women. Binary logistic regression analysis was performed to identify the correlations of NL with general obesity, abdominal obesity, and BFP obesity in adults. Subgroup analyses and interaction tests were also performed. Results Participants with a high level of NL had low odds of general obesity (odds ratio [OR]: 0.66; 95% confidence interval [CI]: 0.43-0.99), abdominal obesity (OR: 0.63; 95% CI: 0.46-0.87), and BFP obesity (OR: 0.55; 95% CI: 0.35-0.87). In subgroup analyses and interaction tests, age significantly influenced the negative correlations of NL with abdominal obesity and BFP obesity (p for interaction <0.05), but not general obesity (p for interaction >0.05). Moreover, sex and smoking status significantly influenced the negative correlations of NL with general obesity and abdominal obesity (p for interaction <0.05), but not BFP obesity (p for interaction >0.05), and drinking status significantly influenced the negative correlations of NL with abdominal obesity (p for interaction <0.05), but not general obesity and BFP obesity (p for interaction >0.05). However, marital status did not significantly influence the correlation of NL with obesity (p for interaction >0.05). Conclusion Our findings highlight that adults with high levels of NL have low odds of general obesity, abdominal obesity, and BFP obesity. Age, sex, smoking status, and drinking status influence the correlation between NL and obesity. The results indicate the importance of NL in the prevention and management of obesity in adults. To effectively address the challenges of adult obesity management, public health practitioners should tailor nutrition education and skill training programs to specific demographic profiles.
Collapse
Affiliation(s)
- Yan Cui
- School of Public Health, Bengbu Medical University, Bengbu, Anhui, China
| | - Qi Qi
- Huainan Maternal and Child Health and Family Planning Service Centre, Huainan, Anhui, China
| | - Yuhui Sun
- School of Public Health, Bengbu Medical University, Bengbu, Anhui, China
| | - Rumeng Liu
- School of Public Health, Bengbu Medical University, Bengbu, Anhui, China
| | - Wending Yin
- School of Public Health, Bengbu Medical University, Bengbu, Anhui, China
| | - Huaqing Liu
- School of Public Health, Bengbu Medical University, Bengbu, Anhui, China
| |
Collapse
|
42
|
Dyńka D, Rodzeń Ł, Rodzeń M, Pacholak-Klimas A, Ede G, Sethi S, Łojko D, Bartoń K, Berry K, Deptuła A, Grzywacz Ż, Martin P, Unwin J, Unwin D. Ketogenic Diets for Body Weight Loss: A Comparison with Other Diets. Nutrients 2025; 17:965. [PMID: 40289934 PMCID: PMC11945412 DOI: 10.3390/nu17060965] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2025] [Revised: 03/04/2025] [Accepted: 03/07/2025] [Indexed: 04/30/2025] Open
Abstract
With the prevalence of obesity and overweight increasing at an alarming rate, more and more researchers are focused on identifying effective weight loss strategies. The ketogenic diet (KD), used as a treatment in epilepsy management for over 100 years, is additionally gaining popularity as a weight loss method. Although its efficacy in weight loss is well documented, the areas where it may be beneficial to other dietary approaches need to be carefully examined. The objective of this paper is to identify the potential benefits of the KD over alternative dietary weight loss strategies based on a comprehensive literature review. It has been shown that the KD may be more bioenergetically efficient than other dietary strategies, inter alia owing to its effect on curtailing hunger, improving satiety and decreasing appetite (influence on hunger and satiety hormones and the sensation of hunger), inducing faster initial weight loss (associated with lower glycogen levels and reduced water retention), and controlling glycaemia and insulinemia (directly attributable to the low-carbohydrate nature of KD and indirectly to the other areas described). These effects are accompanied by improved insulin sensitivity, reduced inflammation (through ketone bodies and avoidance of pro-inflammatory sugars), reduced need for pharmacological obesity control (the diet's mechanisms are similar to those of medication but without the side effects), and positive impacts on psychological factors and food addiction. Based on the authors' review of the latest research, it is reasonable to conclude that, due to these many additional health benefits, the KD may be advantageous to other diet-based weight loss strategies. This important hypothesis deserves further exploration, which could be achieved by including outcome measures other than weight loss in future clinical trials, especially when comparing different diets of equal caloric value.
Collapse
Affiliation(s)
- Damian Dyńka
- Institute of Health Sciences, Faculty of Medical and Health Sciences, University of Siedlce, 08-110 Siedlce, Poland
| | | | | | | | - Georgia Ede
- Independent Researcher, 197 Lions Mouth Road, Amesbury, MA 01913, USA
| | - Shebani Sethi
- Metabolic Psychiatry, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA 94305, USA
| | - Dorota Łojko
- Department of Psychiatry, Poznan University of Medical Science, 60-572 Poznan, Poland
| | | | - Ken Berry
- Independent Researcher, Holladay, TN 38341, USA
| | - Adam Deptuła
- Faculty of Production Engineering and Logistics, Opole University of Technology, 76 Prószkowska St., 45-758 Opole, Poland
| | - Żaneta Grzywacz
- Faculty of Production Engineering and Logistics, Opole University of Technology, 76 Prószkowska St., 45-758 Opole, Poland
| | - Peter Martin
- Funmed Clinics, Vastra Hamngatan 13A, 41117 Gothenburg, Sweden
| | - Jen Unwin
- The Collaborative Health Community Foundation, Oxford OX2 9HZ, UK
| | - David Unwin
- Faculty of Health Social Care and Medicine, Edge Hill University, Ormskirk L39 4QP, UK
| |
Collapse
|
43
|
Ng M, Gakidou E, Lo J, Abate YH, Abbafati C, Abbas N, Abbasian M, Abd ElHafeez S, Abdel-Rahman WM, Abd-Elsalam S, Abdollahi A, Abdoun M, Abdulah DM, Abdulkader RS, Abdullahi A, Abedi A, Abeywickrama HM, Abie A, Aboagye RG, Abohashem S, Abtahi D, Abualruz H, Abubakar B, Abu Farha RK, Abukhadijah HJ, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Adams LC, Adane MM, Addo IY, Adedokun KA, Adegoke NA, Adepoju AVV, Adesola RO, Adeyeoluwa TE, Adiga U, Adnani QES, Afaghi S, Afzal S, Afzal MS, Agampodi TC, Aghamiri S, Agostinis Sobrinho C, Agyemang-Duah W, Ahlstrom AJ, Ahmad D, Ahmad S, Ahmad A, Ahmad MM, Ahmad F, Ahmad N, Ahmed H, Ahmed MB, Ahmed A, Ahmed MS, Ahmed MS, Ahmed SA, Ajami M, Akhtar S, Akkaif MA, Akrami AE, Alalwan TA, Al-Aly Z, Alam K, Al-amer RM, Alansari A, Al-Ashwal FY, Albashtawy M, Aldhaleei WA, Alemayehu BA, Algammal AM, Alhabib KF, Al Hamad H, Al Hasan SM, Alhuwail D, Ali R, Ali A, Ali W, Ali MU, Alif SM, Al-Jabi SW, Aljunid SM, Alkhatib A, Al-Marwani S, Alomari MA, Alqahtani SA, Al-Raddadi RMM, Alrawashdeh A, Alrimawi I, Alrousan SM, Alshahrani NZ, Al Ta'ani O, Al Ta'ani Z, Altaany Z, Altaf A, Al Thaher Y, Alvis-Guzman N, Al-Wardat M, Al-Worafi YM, et alNg M, Gakidou E, Lo J, Abate YH, Abbafati C, Abbas N, Abbasian M, Abd ElHafeez S, Abdel-Rahman WM, Abd-Elsalam S, Abdollahi A, Abdoun M, Abdulah DM, Abdulkader RS, Abdullahi A, Abedi A, Abeywickrama HM, Abie A, Aboagye RG, Abohashem S, Abtahi D, Abualruz H, Abubakar B, Abu Farha RK, Abukhadijah HJ, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Adams LC, Adane MM, Addo IY, Adedokun KA, Adegoke NA, Adepoju AVV, Adesola RO, Adeyeoluwa TE, Adiga U, Adnani QES, Afaghi S, Afzal S, Afzal MS, Agampodi TC, Aghamiri S, Agostinis Sobrinho C, Agyemang-Duah W, Ahlstrom AJ, Ahmad D, Ahmad S, Ahmad A, Ahmad MM, Ahmad F, Ahmad N, Ahmed H, Ahmed MB, Ahmed A, Ahmed MS, Ahmed MS, Ahmed SA, Ajami M, Akhtar S, Akkaif MA, Akrami AE, Alalwan TA, Al-Aly Z, Alam K, Al-amer RM, Alansari A, Al-Ashwal FY, Albashtawy M, Aldhaleei WA, Alemayehu BA, Algammal AM, Alhabib KF, Al Hamad H, Al Hasan SM, Alhuwail D, Ali R, Ali A, Ali W, Ali MU, Alif SM, Al-Jabi SW, Aljunid SM, Alkhatib A, Al-Marwani S, Alomari MA, Alqahtani SA, Al-Raddadi RMM, Alrawashdeh A, Alrimawi I, Alrousan SM, Alshahrani NZ, Al Ta'ani O, Al Ta'ani Z, Altaany Z, Altaf A, Al Thaher Y, Alvis-Guzman N, Al-Wardat M, Al-Worafi YM, Aly S, Aly H, Alzahrani H, Alzoubi A, Alzoubi KH, Al-Zubayer MA, Amiri S, Amu H, Amugsi DA, Amusa GA, Ananda RA, Ancuceanu R, Andrei CL, Anjana RM, Ansari S, Ansari MT, Antony CM, Anuoluwa IA, Anuoluwa BS, Anvari S, Anwar S, Anyasodor AE, Apostol GLC, Arab JP, Arabloo J, Arafat M, Aravkin AY, Areda D, Arifin H, Arkew M, Armocida B, Ärnlöv J, Arooj M, Artamonov AA, Artanti KD, Arumugam A, Asghari-Jafarabadi M, Ashraf T, Asiamah-Asare BKY, Asrat AA, Astell-Burt T, Athari SS, Atorkey P, Atreya A, Aumoldaeva ZM, Awad H, Awoke MA, Awotidebe AW, Aychiluhm SB, Azargoonjahromi A, Azimi A, Aziz SA, Aziz S, Azzam AY, Azzolino D, Azzopardi PS, Babashahi M, Babu GR, Badiye AD, Bagheri N, Bahurupi Y, Bai R, Baig AA, Bakkannavar SM, Balakrishnan S, Baltatu OC, Bam K, Banach M, Banik R, Bardhan M, Barqawi HJ, Barquera S, Barua L, Basharat Z, Bashir S, Bastan MM, Basu S, Bayat R, Bayih MT, Beeraka NM, Begum T, Bello UM, Bello AB, Belo L, Bensenor IM, Bergami M, Berhe K, Berihun AA, Bhadoria AS, Bhagavathula AS, Bhala N, Bhalla JS, Bharadwaj R, Bhardwaj P, Bhardwaj N, Bhaskar S, Bhat AN, Bhattacharjee P, Bhattacharjee S, Bhatti JS, Bhatti GK, Bikov A, Bilgin C, Bisignano C, Biswas B, Bizzozero Peroni B, Bjertness E, Bjørge T, Bolla SR, Borhany H, Bosoka SA, Bouaoud S, Boyko EJ, Braithwaite D, Brazo-Sayavera J, Brenner H, Britton G, Bryazka D, Bugiardini R, Bui LP, Busch F, Bustanji Y, Butt NS, Butt ZA, Calina D, Campos LA, Campos-Nonato I, Cao S, Cao Y, Capodici A, Carvalho AF, Carvalho M, Catapano AL, Cattafesta M, Cattaruzza MS, Cegolon L, Cembranel F, Cenko E, Cerin E, Cernigliaro A, Chadwick J, Chakraborty C, Chan RNC, Chang JC, Chattu VK, Chaudhary AA, Chaurasia A, Chen G, Chen AT, Chen H, Cheng ETW, Chew NWS, Chi G, Chimoriya R, Ching PR, Choi DW, Chong B, Chopra H, Chopra S, Chou HI, Choudhari SG, Chu DT, Chung S, Chung SC, Chutiyami M, Cini KI, Cioffi I, Cogen RM, Collado-Mateo D, Columbus A, Conrad N, Criqui MH, Cruz-Martins N, Cummins S, D'Amico E, D'Anna L, D'Oria M, Dadras O, Dai X, Dalakoti M, Dandona R, Dandona L, Danpanichkul P, Darcho SD, Darvishi Cheshmeh Soltani R, da Silva AG, Davletov K, Delgado-Enciso I, Denova-Gutiérrez E, Derbew Molla M, Dergaa I, Desale AT, Devanbu VGC, Devegowda D, Dewan SMR, Dhali A, Dharmaratne SD, Dhimal M, Dhungel B, Diaz D, Dinu M, Dodangeh M, Dohare S, Dokova KG, Dolatkhah N, do Prado CB, Dorostkar F, Doshi OP, Doshi RP, Dowou RK, Dsouza VS, Du M, Dumith SC, Dumuid D, Duncan BB, Dutta S, Dziedzic AM, Ebrahimi A, Eftekhari B, Eighaei Sedeh A, Ekholuenetale M, Eladl MA, El Arab RA, El-Ashker S, Elbarazi I, El Bayoumy IF, Elgendy IY, Elhadi M, El-Huneidi W, El-Metwally AA, Elmonem MA, Elnaem MH, Elsheikh R, Elsohaby I, Eltaha C, Emeto TI, Eslami M, Eze UA, Fadavian H, Fagbamigbe AF, Fakhradiyev IR, Faraji SN, Farinha CSES, Faris MEM, Farooque U, Farrokhpour H, Fasusi SA, Fazeli P, Fazylov T, Feizkhah A, Fekadu G, Feng X, Fernandes JC, Fernandez-Jimenez R, Ferreira N, Feyisa BR, Fischer F, Flood D, Foigt NA, Folayan MO, Fomenkov AA, Foroumadi R, Fortuna Rodrigues C, Foschi M, Fotouhi M, Francis KL, Franklin RC, Gába A, Gadanya MA, Gaidhane AM, Galali Y, Gallus S, Ganesan B, Gangachannaiah S, Gastélum Espinoza WP, Gebregergis MW, Gebremeskel TG, Getacher L, Ghadirian F, Ghaffari Jolfayi A, Ghamari SH, Ghazy RM, Gil AU, Gill TK, Gnedovskaya EV, Golechha M, Golinelli D, Grivna M, Grover A, Guan Z, Guan SY, Guarducci G, Gubari MIM, Guha A, Gunawardane DA, Guo Z, Gupta R, Gupta AK, Gupta R, Gupta S, Gupta VK, Gutiérrez-Murillo RS, Guzman-Esquivel J, Hadi NR, Hadian Z, Hamdy NM, Hameed S, Hamidi S, Hamiduzzaman M, Hanif A, Hanifi N, Hankey GJ, Haq A, Harlianto NI, Haro JM, Hartono RK, Hasan F, Hashempur MH, Hasnain MS, Hassan A, Hassan N, Hassanipour S, Hassanzade Rad A, Havmoeller RJ, Hay SI, He WQ, Hebert JJ, Heidari G, Hemmati M, Hiraike Y, Hoan NQ, Hoang M, Holla R, Hoogar P, Hopkins AM, Hossain A, Hosseinzadeh H, Hostiuc S, Hostiuc M, Htay ZW, Hu C, Huang J, Hundie TG, Husseiny MI, Huynh HH, Iavicoli I, Ibrayeva A, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Inbaraj LR, Inok A, Irham LM, Islam MR, Islam SMS, Islam RM, Ismail NE, Iso H, Isola G, Ituka MC, Iwagami M, Iwu-Jaja CJ, Iyasu AN, J V, Jacob L, Jaffar S, Jahrami H, Jain A, Jairoun AA, Jakovljevic M, Jalloh ML, Javaid SS, Jayapal SK, Jayarajah U, Jayaram S, Jebai R, Jebasingh FK, Jema AT, Jokar M, Jonas JB, Jose J, Joseph N, Joshua CE, Jozwiak JJ, Jürisson M, Kaambwa B, Kabir A, Kabir Z, Kakkar AK, Kalra S, Kamarajah SK, Kanaan SF, Kankam SB, Kanmodi KK, Kapoor N, Karajizadeh M, Karakasis P, Karasneh RA, Karimi Y, Karimi Behnagh A, Kassebaum NJ, Kauppila JH, Kayode GA, Kehagias D, Kerr JA, Keshwani A, Kesse-Guyot E, Keykhaei M, Khaing IK, Khajuria H, Khalili P, Khalilian A, Khalis M, Khan MJ, Khan M, Khan N, Khan MAS, Khan A, Khan MAB, Khanmohammadi S, Khatab K, Khatatbeh MM, Khayamzadeh M, Khidri FF, Khorashadizadeh F, Khosla AA, Khosravi S, Khosrowjerdi M, Khubchandani J, Khusun H, Kim J, Kim K, Kim MS, Kim YJ, Kimokoti RW, Kisa A, Kishore L, Kivimäki M, Kokkorakis M, Kolahi AA, Kompani F, Korzh O, Kostev K, Koulmane Laxminarayana SL, Kretchy IA, Krishan K, Kua CH, Kuate Defo B, Kulimbet M, Kulkarni V, Kumar A, Kumar V, Kumar GA, Kundu S, Kunutsor SK, Kurmi OP, Kurniasari MD, Kusuma D, Kytö V, Lacey B, Lahariya C, Lai DTC, Lai H, Landires I, Larijani B, Latief K, La Vecchia C, Le NHH, Lee M, Lee SW, Lee WC, Lee SW, Lee PH, Li MC, Li Y, Li W, Lim SS, Lin Q, Lin J, Lindholm D, Lindstedt PA, Liu S, Llanaj E, López-Gil JF, Lorkowski S, Lucchetti G, Lugo A, Lutambi AM, Lv L, Lytvyak E, Ma ZF, Machoy M, Magaña Gómez JA, Maghbouli N, Mahalleh M, Mahmood NH, Mahmoudi E, Maiti R, Makris KCC, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Mansourian M, Manu E, Marateb HR, Marino M, Marjani A, Martinez-Piedra R, Martini S, Martorell M, Marzouk S, Masi S, Masrouri S, Mathangasinghe Y, Mathur MR, Matozinhos FP, Matthias T, Mattiello R, Mazidi M, McPhail SM, Mechili EA, Mehboob R, Mehmood A, Mehndiratta MM, Mehrabani-Zeinabad K, Mekene Meto T, Meles HN, Mendoza W, Menezes RG, Mengistie EA, Meo SA, Mestrovic T, Mettananda S, Mettananda CDK, Micheletti Gomide Nogueira de Sá AC, Miller TR, Mini GK, Mirrakhimov EM, Misganaw A, Mittal M, Mohamed AI, Mohamed MG, Mohamed NS, Mohamed J, Mohammad T, Mohammad-Alizadeh-Charandabi S, Mohammadzadeh I, Mohammed S, Mohammed M, Mokdad AH, Mondello S, Moni MA, Moradi M, Morrison SD, Mossialos E, Motappa R, Mulita F, Mullany EC, Munkhsaikhan Y, Murillo-Zamora E, Musa S, Mustafa G, Muthu S, Myung W, Naghavi P, Naghavi M, Naik GR, Naik H, Nambi G, Nangia V, Nansseu JR, Nascimento GG, Nassar M, Natto ZS, Nauman J, Naureen Z, Navaratna SNK, Nayak BP, Nayon MFS, Nazri-Panjaki A, Negahdary M, Negoi RI, Negoi I, Nejadghaderi SA, Nematollahi S, Nepal S, Netsere HB, Ngunjiri JW, Nguyen CT, Nguyen D, Nguyen T, Nguyen DH, Nguyen PT, Niazi RK, Nieddu L, Niknam M, Nikoobar A, Nkeck JR, Nomura S, Noor STA, Noreen M, Noroozi M, Nawsherwan, Noubiap JJ, Nouri M, Nri-Ezedi CA, Nugen F, Nurrika D, Nzoputam OJ, O'Connell EM, Oancea B, Oguta JO, Oh IH, Okati-Aliabad H, Okekunle AP, Okonji OC, Olagunju AT, Olalusi OV, Olanrewaju TO, Olasupo OO, Oliveira GMM, Oliveira AB, Oluwafemi YD, Omar HA, Omar Bali A, Opitz M, Ordak M, Ortiz A, Osborne A, Osman WMS, Osman AAM, Osuagwu UL, Otoiu A, Oumer A, Ouyahia A, Owolabi MO, Owusu IA, Oyebola K, P A MP, Padron-Monedero A, Padubidri JR, Panda SK, Panda-Jonas S, Pandey A, Pandi-Perumal SR, Pardhan S, Parekh U, Parija PP, Parikh RR, Park EC, Pashaei A, Passera R, Patel HM, Pathan AR, Patoulias D, Patton GC, Paudel S, Pazoki Toroudi H, Pensato U, Peprah P, Pereira G, Pereira M, Perianayagam A, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Pham HN, Polibin RV, Popovic DS, Pourghazi F, Pourshams A, Pradhan J, Pradhan PMS, Prasad M, Prashant A, Prates EJS, Putra IGNE, Puvvula J, Qattea I, Qiu JY, Radhakrishnan V, Radojčić MR, Raggi C, Rahman MA, Rahman FM, Rahman MHU, Rahman M, Rahmani S, Rahmanian V, Rahmawaty S, Rai RK, Raimondo I, Raj JP, Rajput P, Ramadan MM, Ramasamy C, Ramasamy SK, Ramazanu S, Rana K, Ranabhat CL, Rao M, Rao SJ, Rashedi S, Rashidi MM, Rasouli-Saravani A, Rathish D, Rauniyar SK, Rautalin I, Rawaf DL, Rawaf S, Redwan EMMM, Rege S, Reis-Mendes A, Remuzzi G, Rezaei N, Rezaeian M, Rezazadeh H, Rhee TG, Rocha-Gomes JR, Rodrigues M, Rodrigues da Silva TP, Rodriguez JAB, Roever L, Rohloff P, Romadlon DS, Rony MKK, Roshandel G, Rout HS, Roy N, Rwegerera GM, Saad AMA, Saber-Ayad MM, Sabet CJ, Sadarangani KP, Saddik BA, Sadeghi M, Saeb MR, Saeed U, Saeedi Moghaddam S, Safi SZ, Saghazadeh A, Sagoe D, Sahebkar A, Saheb Sharif-Askari F, Sahoo SS, Sajid MR, Salaroli LB, Saleh MA, Salem MR, Salimi S, Samodra YL, Samuel VP, Samy AM, Santhekadur PK, Santric-Milicevic MM, Saqib MAN, Saraswati U, Saravanan A, Sari DW, Sarkar T, Sarmadi M, Sarode SC, Sarode GS, Sassano M, Sathian B, Saya GK, Schinckus C, Schmidt MI, Schuermans A, Schutte AE, Sebastian SA, Selvaraj S, Semreen MH, Sendekie AK, Sengupta P, Senol YC, Senthilkumaran S, Sepanlou SG, Sethi Y, Seylani A, Shafie M, Shah S, Shah SM, Shahid S, Shahrahmani F, Shahwan MJ, Sham S, Shamim MA, Shams-Beyranvand M, Shamsi A, Shamsutdinova A, Shan D, Shanawaz M, Shannawaz M, Sharath M, Sharfaei S, Sharifan A, Sharma A, Sharma U, Sharma M, Sharma V, Sheida F, Sheikhy A, Shenoy RR, Shetty PH, Shibuya K, Shiferaw D, Shin MJ, Shiri R, Shittu A, Shool S, Shorofi SA, Shrestha R, Shuval K, Si Y, Sibuyi NRS, Siddig EE, Siddiqi AK, Sikdar M, Silva DAS, Silva LMLR, Singh S, Singh JA, Singh A, Singh H, Singh B, Singh K, Singh P, Skryabin VY, Skryabina AA, Smith AE, Smith G, Soliman SSM, Soraneh S, Sorensen RJD, Spartalis M, Srichawla BS, Stachteas P, Starodubova AV, Straif K, Stubbs P, Subramaniyan V, Suleiman Odidi MO, Sulkowski A, Sultan Meo A, Sun J, Sun Z, Sunny S, Swain CK, Szarpak L, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaei FS, Tabatabaei Malazy O, Tabatabai S, Tabche C, Tabish M, Taiba J, Talic S, Tampa M, Tamuzi JL, Tan KK, Tanwar M, Tariq S, Tat NY, Tavangar SM, Temsah RMH, Temsah MH, Teramoto M, Terefa DR, Tewari J, Thapar R, Ticoalu JHV, Tiruneh SA, Tiruye TY, Titova MV, Tiwari K, Tomo S, Tonelli M, Touvier M, Tovani-Palone MR, Trabelsi K, Tran MTN, Tran TH, Tran Minh Duc N, Trico D, Trihandini I, Truyen TTTT, Tsatsakis A, Tse G, Tsegay GM, Tumurkhuu M, T Y SS, Tye SC, Tyrovolas S, Udoakang AJ, Ullah S, Ullah S, Umair M, Umar UM, Umar L, Unim B, Upadhya D, Upadhyay E, Usman JS, Ustunsoz D, Vaithinathan AG, Van den Eynde J, Varghese J, Vasankari TJ, Vaziri S, Vellingiri B, Venketasubramanian N, Verma M, Verma A, Verras GI, Vidale S, Villalobos-Daniel VE, Vinayak M, Vlassov V, Vos T, Vukovic R, Wahidin M, Wahiduzzaman M, Wang Y, Wang S, Wang C, Wang X, Wanjau MN, Waqar AB, Waqas M, Weerakoon KG, Wei FL, Wicaksana AL, Wickramasinghe DP, Willeit P, Wojewodzic MW, Wonde TE, Wongsin U, Xia Q, Xie W, Xu S, Xu X, Yamagishi K, Yano Y, Yao H, Yarahmadi A, Yaribeygi H, Yesuf SA, Yin D, Yon DK, Yonemoto N, Yu C, Yuan CW, Yuce D, Yunusa I, Zaman SB, Zare I, Zastrozhin M, Zeariya MGM, Zhang X, Zhang L, Zhang J, Zhang Z, Zhang CJP, Zheng DX, Zheng P, Zhong A, Zhong CC, Zhou J, Zhu B, Zhumagaliuly A, Zielińska M, Zoghi G, Zou Z, Zweck E, Zyoud SH, Murray CJL, Sawyer SM, Vollset SE. Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet 2025; 405:813-838. [PMID: 40049186 PMCID: PMC11920007 DOI: 10.1016/s0140-6736(25)00355-1] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Revised: 12/06/2024] [Accepted: 02/20/2025] [Indexed: 03/10/2025]
Abstract
BACKGROUND Overweight and obesity is a global epidemic. Forecasting future trajectories of the epidemic is crucial for providing an evidence base for policy change. In this study, we examine the historical trends of the global, regional, and national prevalence of adult overweight and obesity from 1990 to 2021 and forecast the future trajectories to 2050. METHODS Leveraging established methodology from the Global Burden of Diseases, Injuries, and Risk Factors Study, we estimated the prevalence of overweight and obesity among individuals aged 25 years and older by age and sex for 204 countries and territories from 1990 to 2050. Retrospective and current prevalence trends were derived based on both self-reported and measured anthropometric data extracted from 1350 unique sources, which include survey microdata and reports, as well as published literature. Specific adjustment was applied to correct for self-report bias. Spatiotemporal Gaussian process regression models were used to synthesise data, leveraging both spatial and temporal correlation in epidemiological trends, to optimise the comparability of results across time and geographies. To generate forecast estimates, we used forecasts of the Socio-demographic Index and temporal correlation patterns presented as annualised rate of change to inform future trajectories. We considered a reference scenario assuming the continuation of historical trends. FINDINGS Rates of overweight and obesity increased at the global and regional levels, and in all nations, between 1990 and 2021. In 2021, an estimated 1·00 billion (95% uncertainty interval [UI] 0·989-1·01) adult males and 1·11 billion (1·10-1·12) adult females had overweight and obesity. China had the largest population of adults with overweight and obesity (402 million [397-407] individuals), followed by India (180 million [167-194]) and the USA (172 million [169-174]). The highest age-standardised prevalence of overweight and obesity was observed in countries in Oceania and north Africa and the Middle East, with many of these countries reporting prevalence of more than 80% in adults. Compared with 1990, the global prevalence of obesity had increased by 155·1% (149·8-160·3) in males and 104·9% (95% UI 100·9-108·8) in females. The most rapid rise in obesity prevalence was observed in the north Africa and the Middle East super-region, where age-standardised prevalence rates in males more than tripled and in females more than doubled. Assuming the continuation of historical trends, by 2050, we forecast that the total number of adults living with overweight and obesity will reach 3·80 billion (95% UI 3·39-4·04), over half of the likely global adult population at that time. While China, India, and the USA will continue to constitute a large proportion of the global population with overweight and obesity, the number in the sub-Saharan Africa super-region is forecasted to increase by 254·8% (234·4-269·5). In Nigeria specifically, the number of adults with overweight and obesity is forecasted to rise to 141 million (121-162) by 2050, making it the country with the fourth-largest population with overweight and obesity. INTERPRETATION No country to date has successfully curbed the rising rates of adult overweight and obesity. Without immediate and effective intervention, overweight and obesity will continue to increase globally. Particularly in Asia and Africa, driven by growing populations, the number of individuals with overweight and obesity is forecast to rise substantially. These regions will face a considerable increase in obesity-related disease burden. Merely acknowledging obesity as a global health issue would be negligent on the part of global health and public health practitioners; more aggressive and targeted measures are required to address this crisis, as obesity is one of the foremost avertible risks to health now and in the future and poses an unparalleled threat of premature disease and death at local, national, and global levels. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
44
|
Kerr JA, Patton GC, Cini KI, Abate YH, Abbas N, Abd Al Magied AHA, Abd ElHafeez S, Abd-Elsalam S, Abdollahi A, Abdoun M, Abdulah DM, Abdulkader RS, Abdullahi A, Abeywickrama HM, Abie A, Abiodun O, Abohashem S, Abtahi D, Abualruz H, Abubakar B, Abu-Gharbieh E, Abukhadijah HJ, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Adams LC, Adane MM, Addo IY, Adedokun KA, Adegoke NA, Adesola RO, Adetunji JB, Adeyeoluwa TE, Adiga U, Adnani QES, Afify AY, Afolabi AA, Afzal MS, Afzal S, Agampodi SB, Aghamiri S, Agostinis Sobrinho C, Agyemang-Duah W, Ahinkorah BO, Ahlstrom AJ, Ahmad A, Ahmad D, Ahmad F, Ahmad MM, Ahmad N, Ahmad S, Ahmed A, Ahmed H, Ahmed LA, Ahmed MS, Ahmed MS, Ahmed SA, Ajami M, Akkaif MA, Akrami AE, Al Hamad H, Al Hasan SM, Al Ta'ani Z, Al Thaher Y, Alalwan TA, Al-Aly Z, Alam K, Al-amer RM, Alansari A, Al-Ashwal FY, Albashtawy M, Alemayehu BA, Algammal AM, Alhabib KF, Alhuwail D, Ali A, Ali EA, Ali MD, Ali MU, Ali R, Ali W, Alif SM, Alimohamadi Y, Al-Jabi SW, Aljofan M, Aljunid SM, Alkhatib A, Almahmeed W, Al-Marwani S, Alomari MA, Alqahtani SA, Alqarni AA, Alrawashdeh A, Alrimawi I, Alrousan SM, Alshahrani NZ, Altaany Z, Altaf A, Alvi FJ, Alvis-Guzman N, et alKerr JA, Patton GC, Cini KI, Abate YH, Abbas N, Abd Al Magied AHA, Abd ElHafeez S, Abd-Elsalam S, Abdollahi A, Abdoun M, Abdulah DM, Abdulkader RS, Abdullahi A, Abeywickrama HM, Abie A, Abiodun O, Abohashem S, Abtahi D, Abualruz H, Abubakar B, Abu-Gharbieh E, Abukhadijah HJ, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Adams LC, Adane MM, Addo IY, Adedokun KA, Adegoke NA, Adesola RO, Adetunji JB, Adeyeoluwa TE, Adiga U, Adnani QES, Afify AY, Afolabi AA, Afzal MS, Afzal S, Agampodi SB, Aghamiri S, Agostinis Sobrinho C, Agyemang-Duah W, Ahinkorah BO, Ahlstrom AJ, Ahmad A, Ahmad D, Ahmad F, Ahmad MM, Ahmad N, Ahmad S, Ahmed A, Ahmed H, Ahmed LA, Ahmed MS, Ahmed MS, Ahmed SA, Ajami M, Akkaif MA, Akrami AE, Al Hamad H, Al Hasan SM, Al Ta'ani Z, Al Thaher Y, Alalwan TA, Al-Aly Z, Alam K, Al-amer RM, Alansari A, Al-Ashwal FY, Albashtawy M, Alemayehu BA, Algammal AM, Alhabib KF, Alhuwail D, Ali A, Ali EA, Ali MD, Ali MU, Ali R, Ali W, Alif SM, Alimohamadi Y, Al-Jabi SW, Aljofan M, Aljunid SM, Alkhatib A, Almahmeed W, Al-Marwani S, Alomari MA, Alqahtani SA, Alqarni AA, Alrawashdeh A, Alrimawi I, Alrousan SM, Alshahrani NZ, Altaany Z, Altaf A, Alvi FJ, Alvis-Guzman N, Al-Wardat M, Al-Worafi YM, Aly H, Aly S, Alzoubi KH, Aman Mohammadi M, Amera TG, Amiri S, Amu H, Amugsi DA, Amusa GA, Ananda RA, Ancuceanu R, Ansari MT, Ansari S, Anuoluwa BS, Anuoluwa IA, Anvari S, Anwar SL, Anyasodor AE, Arab JP, Arabloo J, Arafat M, Aravkin AY, Areda D, Aregawi BB, Arifin H, Armocida B, Ärnlöv J, Arooj M, Arora A, Artamonov AA, Artanti KD, Arumugam A, Asghari-Jafarabadi M, Ashraf T, Asiamah-Asare BKY, Astell-Burt T, Athari SS, Atorkey P, Atreya A, Aumoldaeva ZM, Awoke MA, Awotidebe AW, Aychiluhm SB, Azimi A, Aziz SA, Aziz S, Azzam AY, Azzolino D, Babashahi M, Babu GR, Badran AA, Bagheri N, Bai R, Baig AA, Bakkannavar SM, Balakrishnan S, Baltatu OC, Bam K, Banik R, Barati S, Bardhan M, Barqawi HJ, Barquera S, Barrow A, Barua L, Bastan MM, Basu S, Bayat R, Bayih MT, Bayleyegn NS, Beeraka NM, Behera P, Bejarano Ramirez DF, Bello UM, Belo L, Bennett DA, Bergami M, Berhe K, Berihun AA, Bhadoria AS, Bhala N, Bharadwaj R, Bhardwaj N, Bhardwaj P, Bhaskar S, Bhat AN, Bhattacharjee P, Bhatti GK, Bhatti JS, Bilgin C, Bisignano C, Biswas B, Bizzozero Peroni B, Bjertness E, Bjørge T, Boloor A, Boppana SH, Bosoka SA, Bouaoud S, Boyko EJ, Braithwaite D, Brazo-Sayavera J, Brenner H, Bryazka D, Bugiardini R, Bui LP, Bustanji Y, Butt NS, Butt ZA, Çakmak Barsbay M, Calina D, Cámera LA, Campos LA, Cao S, Capodici A, Carletti C, Carvalho AF, Carvalho M, Cattafesta M, Cattaruzza MS, Cegolon L, Cembranel F, Cerin E, Cernigliaro A, Chadwick J, Chakraborty C, Chandrasekar EK, Chang JC, Chattu VK, Chaudhary AA, Chaurasia A, Chen AT, Chen H, Chew NWS, Chi G, Chimoriya R, Ching PR, Chitheer A, Choi DW, Chong B, Chong CL, Chopra H, Chopra S, Chou HI, Choudhari SG, Chung SC, Chung S, Chutiyami M, Cogen RM, Columbus A, Conrad N, Criqui MH, Cruz-Martins N, da Silva AG, Dadras O, Dai X, Dalakoti M, D'Amico E, Dandona L, Dandona R, D'Anna L, Danpanichkul P, Darcho SD, Darvishi Cheshmeh Soltani R, Dash NR, Davletov K, Dehghan A, Denova-Gutiérrez E, Derbew Molla M, Dergaa I, Desale AT, Devanbu VGC, Devegowda D, Dhali A, Dhungel B, Diaz D, Dinu M, Do TC, do Prado CB, Dodangeh M, Doegah PT, Dohare S, Dokova KG, Doku PN, Dolatkhah N, D'Oria M, Dorostkar F, Doshi OP, Doshi RP, Dowou RK, Du M, Dumith SC, Dumuid D, Duncan BB, Dutta S, Ebrahimi A, Edvardsson K, Eighaei Sedeh A, Ekholuenetale M, El Arab RA, El Bayoumy IF, Eladl MA, El-Ashker S, Elbarazi I, Elgendy IY, Elhadi M, El-Metwally AA, Elmonem MA, Elnaem MH, Elsheikh R, Eltaha C, Emeto TI, Eslami M, Fabin N, Fadavian H, Fagbamigbe AF, Fakhradiyev IR, Faraji SN, Farinha CSES, Faris MEM, Faris PS, Farjoud Kouhanjani M, Farooque U, Farrokhpour H, Fasusi SA, Fazeli P, Fazylov T, Feizkhah A, Fekadu G, Feng X, Fernandez-Jimenez R, Ferreira N, Foigt NA, Folayan MO, Fomenkov AA, Foroumadi R, Fortuna Rodrigues C, Foschi M, Francis KL, Franklin RC, Gába A, Gadanya MA, Gaidhane AM, Galali Y, Gallus S, Ganesan B, Gangachannaiah S, Gebregergis MW, Gebrehiwot M, Getacher L, Getie M, Ghadirian F, Ghazy RM, Gil AU, Gill TK, Gillum RF, Girmay AA, Golechha M, Goleij P, Goulart AC, Grada A, Grivna M, Grover A, Guan Z, Guarducci G, Gubari MIM, Guha A, Gulati S, Gunawardane DA, Guo Z, Gupta B, Gupta R, Gupta R, Gupta V, Gutiérrez-Murillo RS, Guzman-Esquivel J, Hadi NR, Hadian Z, Hamdy NM, Hamidi S, Hanif A, Hanifi N, Hankey GJ, Haq A, Haro JM, Hasan F, Hashempour R, Hashempur MH, Hasnain MS, Hassan A, Hassan N, Hassanipour S, Hassanzade Rad A, Havmoeller RJ, Hay SI, Hebert JJ, Hezam K, Hiraike Y, Hoang M, Holla R, Hossain A, Hosseinzadeh H, Hostiuc M, Hostiuc S, Htay ZW, Hu M, Hu Y, Humayun A, Hundie TG, Husseiny MI, Hussien FM, Huynh HH, Hwang BF, Ibrahim R, Ibrayeva A, Ikeda N, Ilesanmi OS, Ilic IM, Ilic MD, Inbaraj LR, Inok A, Iqbal K, Islam MS, Islam MF, Islam MR, Islam SMS, Ismail NE, Iso H, Isola G, Ituka MC, Iwagami M, Iwu-Jaja CJ, Iyasu AN, Jacob L, Jaffar S, Jahrami H, Jain A, Jain R, Jairoun AA, Jakovljevic M, Javaid SS, Jayapal SK, Jayaram S, Jebasingh FK, Jee SH, Jema AT, Jeswani BM, Jonas JB, Joseph N, Joshua CE, Jozwiak JJ, Jürisson M, Kaambwa B, Kabir A, Kadashetti V, Kakkar AK, Kalra S, Kanaan SF, Kankam SB, Kanmanthareddy AR, Kanmodi KK, Kantar RS, Kar D, Karajizadeh M, Karakasis P, Karimi Behnagh A, Karimzadhagh S, Kassebaum NJ, Kauppila JH, Kayode GA, Kedir S, Kehagias D, Keshwani A, Kesse-Guyot E, Keykhaei M, Khajuria H, Khalili P, Khalilian A, Khalis M, Khan A, Khan M, Khan MAS, Khan MJ, Khan MAB, Khan MS, Khan N, Khanal V, Khanmohammadi S, Khatatbeh MM, Kheirkhah M, Khidri FF, Khokhar M, Khosla AA, Khosravi S, Khosrowjerdi M, Khusun H, Kim GR, Kim J, Kim J, Kim MS, Kim YJ, Kimokoti RW, Kisa A, Kishore L, KM S, Kokkorakis M, Kompani F, Korzh O, Kostev K, Koulmane Laxminarayana SL, Kretchy IA, Kua CH, Kuate Defo B, Kuddus M, Kulimbet M, Kulkarni V, Kumar GA, Kumar V, Kundu S, Kunutsor SK, Kurmi OP, Kurniasari MD, Kusuma D, Kytö V, La Vecchia C, Lacey B, Lahariya C, Lai DTC, Landires I, Larijani B, Lassi ZS, Le HTT, Le NHH, Lee HA, Lee M, Lee PH, Lee SW, Lee WC, Li A, Li MC, Li W, Li Y, Lim SS, Lin J, Lin Q, Lindholm D, Lindstedt PA, Liu J, Lo J, López-Gil JF, Lorkowski S, Lucchetti G, Lugo A, Lutambi AM, Ma ZF, Magaña Gómez JA, Maghbouli N, Mahalleh M, Mahmood NH, Majeed A, Makris KCC, Malakan Rad E, Malekzadeh R, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Manu E, Marateb HR, Marino M, Marjani A, Martinez-Piedra R, Martorell M, März W, Marzouk S, Masrouri S, Mathangasinghe Y, Matozinhos FP, Matthias T, Mattiello R, Maugeri A, Mazidi M, McPhail SM, Mechili EA, Medel Salas MP, Mehmood A, Mehrabani-Zeinabad K, Mekene Meto T, Meles HN, Mendoza W, Menezes RG, Mengistie EA, Meo SA, Mestrovic T, Mettananda CDK, Mettananda S, Miao H, Miller TR, Ming WK, Mirrakhimov EM, Misganaw A, Mitiku H, Mittal M, Mohamed J, Mohamed MG, Mohamed NS, Mohammad T, Mohammad-Alizadeh-Charandabi S, Mohammadian-Hafshejani A, Mohammadzadeh I, Mohammed S, Mokdad AH, Monasta L, Mondello S, Moni MA, Montazeri Namin S, Moodi Ghalibaf A, Moradi Y, Morrison SD, Motappa R, Mubarik S, Mulita F, Mullany EC, Munkhsaikhan Y, Murillo-Zamora E, Murray CJL, Musa S, Mustafa G, Muthu S, Mwita JC, Myung W, Nafiu AB, Nagel G, Naik GR, Naik H, Nambi G, Nangia V, Nargus S, Nascimento GG, Nassar M, Nauman J, Naureen Z, Navaratna SNK, Nawsherwan, Nayak BP, Nazri-Panjaki A, Negahdary M, Negoi I, Negoi RI, Nematollahi S, Nepal S, Netsere HB, Ng M, Ngunjiri JW, Nguyen D, Nguyen PT, Nguyen PT, Niazi RK, Nieddu L, Niknam M, Nikolouzakis TK, Nikoobar A, Nkeck JR, Nomura S, Noor STA, Noreen M, Noubiap JJ, Nouri M, Nri-Ezedi CA, Nugen F, Nuñez-Samudio V, Nur A, Nyande FK, Nzoputam CI, Oancea B, O'Connell EM, Odetokun IA, Ofakunrin AOD, Oguta JO, Oh IH, Okati-Aliabad H, Okeke SR, Okekunle AP, Okonji OC, Olagunju AT, Olalusi OV, Olasehinde TA, Oliveira AB, Oliveira GMM, Oluwafemi YD, Omar HA, Omar Bali A, Omer NA, Ong SK, Ordak M, Ortiz A, Osborne A, Osman WMS, Otoiu A, Oumer A, Ouyahia A, Owolabi MO, Owusu IA, Oyebola K, Oyelade T, P A MP, Padron-Monedero A, Padubidri JR, Palicz T, Panda SK, Panda-Jonas S, Pandey A, Pandi-Perumal SR, Pant S, Pardhan S, Parekh U, Parija PP, Parikh RR, Park EC, Passera R, Patel J, Patoulias D, Paudel S, Peprah P, Pereira M, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Pham HN, Pham TT, Pirouzpanah S, Polibin RV, Popovic DS, Potani I, Pourghazi F, Pourshams A, Pradhan J, Pradhan PMS, Prasad M, Prashant A, Prates EJS, Puvvula J, Qattea I, Qiao Y, Radhakrishnan V, Radojˇić MR, Raggi C, Rahman FM, Rahman MM, Rahman MHU, Rahman M, Rahman MA, Rahmanian M, Rahmanian V, Rahmati M, Rai RK, Raimondo I, Raj JP, Rajput P, Ramadan MM, Ramasamy C, Ramasamy SK, Ramazanu S, Rana K, Ranabhat CL, Rao M, Rao SJ, Rashedi S, Rashidi MM, Rasouli-Saravani A, Rathish D, Rauniyar SK, Rautalin I, Rawaf DL, Rawaf S, Redwan EMMM, Rege S, Rehman AU, Reis-Mendes A, Remuzzi G, Rezaei N, Rezaeian M, Rhee TG, Rocha-Gomes JR, Rodrigues da Silva TP, Rodriguez JAB, Roever L, Rohloff P, Romadlon DS, Rony MKK, Roshandel G, Rout HS, Roy N, Rwegerera GM, Saad AMA, Saber-Ayad MM, Sabzmakan L, Sadarangani KP, Saddik BA, Sadeghi M, Saeed U, Sagoe D, Saheb Sharif-Askari F, Sahebkar A, Sahoo SS, Sajadi SM, Sajid MR, Salami AA, Salaroli LB, Saleem S, Saleh MA, Salem MR, Salihu D, Salimi S, Samy AM, Santric-Milicevic MM, Sarkar T, Sarmadi M, Sarode GS, Sarode SC, Sassano M, Saulam J, Sawhney M, Saxena S, Saya GK, Schinckus C, Schmidt MI, Schuermans A, Selvaraj S, Sendekie AK, Sengupta P, Senol YC, Senthilkumaran S, Sepanlou SG, Sethi Y, Seylani A, Shafie M, Shah S, Shahid S, Shahwan MJ, Shamim MA, Shams-Beyranvand M, Shamsutdinova A, Shanawaz M, Shannawaz M, Sharath M, Sharifan A, Sharma M, Sharma U, Sharma V, Sheida F, Shenoy RR, Shetty PH, Shiferaw D, Shin MJ, Shirani Lapari M, Shiri R, Shittu A, Shool S, Shorofi SA, Shrestha G, Shrestha R, Shuval K, Si Y, Sibuyi NRS, Siddig EE, Siervo M, Silva DAS, Silva LMLR, Singh A, Singh B, Singh H, Singh JA, Singh K, Singh L, Singh M, Singh PS, Singh S, Skryabina AA, Smith AE, Smith G, Soliman SSM, Soraneh S, Spartalis M, Srichawla BS, Stanikzai MH, Starodubova AV, Straif K, Stubbs P, Subramaniyan V, Suleiman Odidi MO, Sulkowski A, Sultan Meo A, Sun Z, Sunny S, Sunuwar DR, Swain CK, Szarpak L, T Y SS, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabche C, Tabish M, Taiba J, Tampa M, Tamuzi JL, Tan KK, Tanwar M, Tariq S, Tat NY, Temsah MH, Temsah RMH, Teramoto M, Terefa DR, Tewari J, Thangaraju P, Thapar R, Thavamani A, Thirunavukkarasu S, Thomas J, Tiruneh SA, Tiruye TY, Titova MV, Tiwari K, Tomo S, Tonelli M, Touvier M, Tovani-Palone MR, Trabelsi K, Tran NH, Tran TH, Tran Minh Duc N, Trico D, Truyen TTTT, Tsegay GM, Tumurkhuu M, Tye SC, Udoakang AJ, Ullah A, Ullah S, Ullah S, Umair M, Umar L, Umar UM, Unim B, Upadhya D, Upadhyay E, Usman JS, Ustunsoz D, Vaezghasemi M, Vaithinathan AG, Van den Eynde J, Varghese J, Vasankari TJ, Vaziri S, Vellingiri B, Venketasubramanian N, Verma M, Verras GI, Villalobos-Daniel VE, Vladimirov SK, Vlassov V, Vollset SE, Vukovic R, Wahiduzzaman M, Wang C, Wang S, Wang X, Wang Y, Weerakoon KG, Wei FL, Wicaksana AL, Wickramasinghe DP, Wickramasinghe ND, Willeit P, Wojewodzic MW, Xia Q, Xiao G, Xie W, Xu S, Xu X, Yahya G, Yamagishi K, Yano Y, Yao H, Yarahmadi A, Yaribeygi H, Ye P, Yesuf SA, Yin D, Yon DK, Yonemoto N, Yu C, Yuan CW, Yuce D, Yunusa I, Zamagni G, Zastrozhin M, Zeariya MGM, Zhang CJP, Zhang H, Zhang J, Zhang L, Zhang X, Zhang Z, Zhao H, Zheng DX, Zhong A, Zhong CC, Zhou J, Zhu B, Zhumagaliuly A, Zielińska M, Zitoun OA, Zoghi G, Zou Z, Zyoud SH, Gakidou E, Sawyer SM, Azzopardi PS. Global, regional, and national prevalence of child and adolescent overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet 2025; 405:785-812. [PMID: 40049185 PMCID: PMC11920006 DOI: 10.1016/s0140-6736(25)00397-6] [Show More Authors] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Revised: 11/13/2024] [Accepted: 02/24/2025] [Indexed: 03/10/2025]
Abstract
BACKGROUND Despite the well documented consequences of obesity during childhood and adolescence and future risks of excess body mass on non-communicable diseases in adulthood, coordinated global action on excess body mass in early life is still insufficient. Inconsistent measurement and reporting are a barrier to specific targets, resource allocation, and interventions. In this Article we report current estimates of overweight and obesity across childhood and adolescence, progress over time, and forecasts to inform specific actions. METHODS Using established methodology from the Global Burden of Diseases, Injuries, and Risk Factors Study 2021, we modelled overweight and obesity across childhood and adolescence from 1990 to 2021, and then forecasted to 2050. Primary data for our models included 1321 unique measured and self-reported anthropometric data sources from 180 countries and territories from survey microdata, reports, and published literature. These data were used to estimate age-standardised global, regional, and national overweight prevalence and obesity prevalence (separately) for children and young adolescents (aged 5-14 years, typically in school and cared for by child health services) and older adolescents (aged 15-24 years, increasingly out of school and cared for by adult services) by sex for 204 countries and territories from 1990 to 2021. Prevalence estimates from 1990 to 2021 were generated using spatiotemporal Gaussian process regression models, which leveraged temporal and spatial correlation in epidemiological trends to ensure comparability of results across time and geography. Prevalence forecasts from 2022 to 2050 were generated using a generalised ensemble modelling approach assuming continuation of current trends. For every age-sex-location population across time (1990-2050), we estimated obesity (vs overweight) predominance using the log ratio of obesity percentage to overweight percentage. FINDINGS Between 1990 and 2021, the combined prevalence of overweight and obesity in children and adolescents doubled, and that of obesity alone tripled. By 2021, 93·1 million (95% uncertainty interval 89·6-96·6) individuals aged 5-14 years and 80·6 million (78·2-83·3) aged 15-24 years had obesity. At the super-region level in 2021, the prevalence of overweight and of obesity was highest in north Africa and the Middle East (eg, United Arab Emirates and Kuwait), and the greatest increase from 1990 to 2021 was seen in southeast Asia, east Asia, and Oceania (eg, Taiwan [province of China], Maldives, and China). By 2021, for females in both age groups, many countries in Australasia (eg, Australia) and in high-income North America (eg, Canada) had already transitioned to obesity predominance, as had males and females in a number of countries in north Africa and the Middle East (eg, United Arab Emirates and Qatar) and Oceania (eg, Cook Islands and American Samoa). From 2022 to 2050, global increases in overweight (not obesity) prevalence are forecasted to stabilise, yet the increase in the absolute proportion of the global population with obesity is forecasted to be greater than between 1990 and 2021, with substantial increases forecast between 2022 and 2030, which continue between 2031 and 2050. By 2050, super-region obesity prevalence is forecasted to remain highest in north Africa and the Middle East (eg, United Arab Emirates and Kuwait), and forecasted increases in obesity are still expected to be largest across southeast Asia, east Asia, and Oceania (eg, Timor-Leste and North Korea), but also in south Asia (eg, Nepal and Bangladesh). Compared with those aged 15-24 years, in most super-regions (except Latin America and the Caribbean and the high-income super-region) a greater proportion of those aged 5-14 years are forecasted to have obesity than overweight by 2050. Globally, 15·6% (12·7-17·2) of those aged 5-14 years are forecasted to have obesity by 2050 (186 million [141-221]), compared with 14·2% (11·4-15·7) of those aged 15-24 years (175 million [136-203]). We forecasted that by 2050, there will be more young males (aged 5-14 years) living with obesity (16·5% [13·3-18·3]) than overweight (12·9% [12·2-13·6]); while for females (aged 5-24 years) and older males (aged 15-24 years), overweight will remain more prevalent than obesity. At a regional level, the following populations are forecast to have transitioned to obesity (vs overweight) predominance before 2041-50: children and adolescents (males and females aged 5-24 years) in north Africa and the Middle East and Tropical Latin America; males aged 5-14 years in east Asia, central and southern sub-Saharan Africa, and central Latin America; females aged 5-14 years in Australasia; females aged 15-24 years in Australasia, high-income North America, and southern sub-Saharan Africa; and males aged 15-24 years in high-income North America. INTERPRETATION Both overweight and obesity increased substantially in every world region between 1990 and 2021, suggesting that current approaches to curbing increases in overweight and obesity have failed a generation of children and adolescents. Beyond 2021, overweight during childhood and adolescence is forecast to stabilise due to further increases in the population who have obesity. Increases in obesity are expected to continue for all populations in all world regions. Because substantial change is forecasted to occur between 2022 and 2030, immediate actions are needed to address this public health crisis. FUNDING Bill & Melinda Gates Foundation and Australian National Health and Medical Research Council.
Collapse
|
45
|
Hashemi Javaheri FS, Nasiri Jounaghani M, Sahebkar A, Norouzzadeh M, Delgarm P, Shahinfar H, Mirdar Harijani A. The effect of fermented dairy intake and abdominal obesity in adults: a systematic review and dose-response meta-analysis of cohort studies. Eat Weight Disord 2025; 30:23. [PMID: 40055253 PMCID: PMC11889060 DOI: 10.1007/s40519-025-01733-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2024] [Accepted: 02/23/2025] [Indexed: 03/12/2025] Open
Abstract
OBJECTIVES Diverse analysis has analyzed the potential efficacy of consuming foods created through the fermentation of dairy in mitigating abdominal obesity. The current meta-analysis aims to determine the impacts of consuming fermented dairy foods and the occurrence of abdominal obesity. METHODS Web of Science, PubMed, and Scopus databases were queried for records published before January 13, 2023, to investigate proportionate cohort studies. We employed a random-effects model to appraise the relative risk (RR); effect size was assessed through the 95% confidence interval (CI). Additionally, a one-stage dose-response analysis was executed, quality assessment was conducted through the ROBINS-E tool. RESULTS Consequently, five publications, comprising 41,430 cases, were included as selected studies. The pooled effect shows an effect on the abdominal obesity risk; however, the effect was not significant. Subgroup analyses revealed a potential risk reduction effect in high- and low-fat and fermented dairy productions, although the findings were not statistically significant. Furthermore, the dose-response analysis indicated a linear decrease in risk with increasing consumption of high-fat fermented yogurt, with an HR of 0.84 (95% CI 0.71, 0.99) by 8 servings/week and an HR of 0.37 (95% CI 0.19, 0.71) by 21 servings/week. CONCLUSION These findings imply the potential effectiveness of fermented dairy products, particularly high-fat yogurt, in diminishing the obesity risk. However, further research addressing the limitations of previous studies is essential to confirm these results. Evidence-based medicine level: No level of evidence: Level of evidence III. PROSPERO registration number: CRD42023387538 ( http://www.crd.york.ac.uk/PROSPERO ).
Collapse
Affiliation(s)
- Fatemeh Sadat Hashemi Javaheri
- Department of Clinical Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
- Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Milad Nasiri Jounaghani
- Department of Clinical Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Amirhossein Sahebkar
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveentha University, Chennai, India
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mostafa Norouzzadeh
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Student Research Committee, Faculty of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Pedram Delgarm
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Hossein Shahinfar
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Student Research Committee, Faculty of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Artemiss Mirdar Harijani
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
46
|
Jensen DEA, Ebmeier KP, Akbaraly T, Jansen MG, Singh-Manoux A, Kivimäki M, Zsoldos E, Klein-Flügge MC, Suri S. Association of Diet and Waist-to-Hip Ratio With Brain Connectivity and Memory in Aging. JAMA Netw Open 2025; 8:e250171. [PMID: 40072438 PMCID: PMC11904738 DOI: 10.1001/jamanetworkopen.2025.0171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Accepted: 12/22/2024] [Indexed: 03/14/2025] Open
Abstract
Importance Epidemiological studies suggest that lifestyle factors are associated with risk of dementia. However, few studies have examined the association of diet and waist to hip ratio (WHR) with hippocampus connectivity and cognitive health. Objective To ascertain how longitudinal changes in diet quality and WHR during midlife are associated with hippocampal connectivity and cognitive function in later life. Design, Setting, and Participants This cohort study analyzed data from participants in the Whitehall II Study at University College London (study inception: 1985) and Whitehall II Imaging Substudy at the University of Oxford (data collection: 2012-2016). Healthy participants from the Whitehall II Imaging Study with a mean age of 48 years at baseline to 70 years at magnetic resonance imaging (MRI) were included if they had information on diet from at least 1 wave, information on WHR from at least 2 waves, and good-quality MRI scans. Study analyses were completed from October 2019 to November 2024. Exposures Diet quality was measured in participants(mean age, 48 years at baseline to 60 years) using the Alternative Healthy Eating Index-2010 score, which was assessed 3 times across 11 years. WHR was measured 5 times over 21 years in participants aged 48 to 68 years. Main Outcomes and Measures White matter structural connectivity assessed using diffusion tensor imaging, hippocampal functional connectivity assessed using resting-state functional MRI, and cognitive performance measures. Brain imaging and cognitive tests were performed at a mean (SD) age of 70 (5) years. Results The final diet quality sample comprised 512 participants (403 males [78.7%]; mean [SD] age, 47.8 [5.2] years), and the final WHR sample included 664 participants (532 males [80.1%]; mean [SD] age, 47.7 [5.1] years). Better diet quality in midlife and from midlife to late life was associated with higher hippocampal functional connectivity to the occipital lobe and cerebellum (left hippocampus: 9176 mm3, P < .05; left hippocampus and to the right cerebellum: 136 mm3, P = .04) and better white matter integrity as measured by higher fractional anisotropy (FA; 19 432 mm3, P < .05) and lower diffusivity (mean diffusivity [MD]: 5560 mm3, P < .05; axial diffusivity [AD]: 2600 mm3, P < .045; AD in fornix: β [SE] = 0.26 [0.11], false discovery rate-corrected P = .02). Higher WHR in midlife was associated with higher MD and radial diffusivity (covering 26.4% [333 088 mm3, P < .001] and 23.1% [291 888 mm3, P < .05], respectively, of the total white matter tracts in the cingulum and superior and inferior longitudinal fasciculus) and lower FA in the corticospinal tract (covering 4.9% of the white matter skeleton), including the inferior longitudinal fasciculus and cingulum (61 272 mm3, P < .05). Associations between midlife WHR, working memory, and executive function were partially mediated by diffusivity (eg, digit span was mediated by global FA: β = -2.96-03; 95% CI, -5.56-03 to -1.01-03; P < .001). Conclusions and Relevance This cohort study found that healthier diets and lower WHR throughout midlife were associated with better brain and cognitive health in older age. The findings suggest that interventions to improve diet and manage central obesity might be most effective between ages 48 and 70 years.
Collapse
Affiliation(s)
- Daria E. A. Jensen
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - Klaus P. Ebmeier
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Tasnime Akbaraly
- UCL Brain Sciences, University College London, London, United Kingdom
- Desbrest Institute of Epidemiology and Public Health, Université de Montpellier, Institut National de la Santé et de la Recherche Médicale (INSERM), Montpellier, France
| | - Michelle G. Jansen
- Donders Centre for Cognition, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Archana Singh-Manoux
- UCL Brain Sciences, University College London, London, United Kingdom
- Epidemiology of Ageing and Neurodegenerative Diseases, Université Paris Cité, INSERM U1153, Paris, France
| | - Mika Kivimäki
- UCL Brain Sciences, University College London, London, United Kingdom
| | - Enikő Zsoldos
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Miriam C. Klein-Flügge
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Department of Experimental Psychology, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Sana Suri
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| |
Collapse
|
47
|
Piana K, Ziomber-Lisiak A, Ruszczycki B, Bugajski A, Szczerbowska-Boruchowska M. Effects of high-calorie diet-induced obesity on molecular structures of lipids and proteins - A multi-organ study using FTIR spectroscopy. Arch Biochem Biophys 2025; 765:110325. [PMID: 39894381 DOI: 10.1016/j.abb.2025.110325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Revised: 01/19/2025] [Accepted: 01/31/2025] [Indexed: 02/04/2025]
Abstract
In the presented study, we evaluated changes in the molecular structures of lipids and proteins in organs/tissues at the early stage of obesity induced by a high-calorie diet (HCD), using animal models. We examined several different molecular parameters and the organs most affected by obesity. Fourier transform infrared (FTIR) spectroscopy combined with Principal Component Analysis (PCA) and Receiver Operating Characteristic (ROC) analysis were used to evaluate molecular changes in tissues taken from HCD-induced obese Wistar rats and their lean counterparts. We observed that at the early stage of obesity, changes occurred mainly in lipid structures, primarily affecting white epididymal adipose tissue (WAT) and the liver (Lr). No changes in protein molecular structures were observed in any of the examined organs. PCA showed distinctly different organ/tissue compositions, in terms of molecular parameters, for both groups. In turn, ROC analysis indicated that fatty acid chain length (FACL), lipid unsaturation (L_Unsat), and carbonyl/lipid ratio (Carb/L) for WAT, and FACL and lipid/protein ratio (L/P) for Lr, were the molecular parameters, whose levels differentiated the most between both groups. We demonstrated that studies using FTIR spectroscopy combined with advanced data mining methods could deepen the current knowledge about obesity and the biochemical changes occurring in the organs affected by this disease. Thus, they can help in the future with better and faster diagnosis and prevention of obesity and its complications.
Collapse
Affiliation(s)
- Kaja Piana
- AGH University of Krakow, Faculty of Physics and Applied Computer Science, Al. A. Mickiewicza 30, 30-059, Krakow, Poland
| | - Agata Ziomber-Lisiak
- Chair of Pathophysiology, Faculty of Medicine, Jagiellonian University Medical College, ul. Czysta 18, 31-121, Krakow, Poland
| | - Blazej Ruszczycki
- AGH University of Krakow, Faculty of Physics and Applied Computer Science, Al. A. Mickiewicza 30, 30-059, Krakow, Poland
| | - Andrzej Bugajski
- Chair of Pathophysiology, Faculty of Medicine, Jagiellonian University Medical College, ul. Czysta 18, 31-121, Krakow, Poland
| | | |
Collapse
|
48
|
Yu J, Chen S, Yang J, Zhang X, Xue H, Ni X, Du W, Fan L, Zhang F, Wang Y. Childhood and Adolescent Overweight/Obesity Prevalence Trends in Jiangsu, China, 2017-2021: An Age-Period-Cohort Analysis. Public Health Nurs 2025; 42:754-761. [PMID: 39737852 DOI: 10.1111/phn.13517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Revised: 11/04/2024] [Accepted: 12/11/2024] [Indexed: 01/01/2025]
Abstract
OBJECTIVES To investigate temporal trends in childhood and adolescent overweight/obesity in Jiangsu Province, China, evaluating the effects of age, period, and birth cohort. DESIGN Cross-sectional study. SAMPLE Participants were 210,168 students aged 6-17 years from the five waves of the consecutive cross-sectional Jiangsu provincial surveillance project in 2017-2021. MEASUREMENTS Overweight/obesity was assessed according to the sex- and age-specific body mass index. We used age-period-cohort (APC) analysis to explore the temporal trends of overweight/obesity and to estimate the effects of age, period, and birth cohort on the prevalence. RESULTS The overall prevalence of overweight/obesity has increased from 32.08% to 38.60% between 2017 and 2021. The 6-9-year-old group and the 10-13-year-old group were significantly associated with a higher risk of overweight/obesity, in contrast to 14-17-year-olds. The pandemic was also significantly associated with a much higher risk. The cohort 2000-2003 was associated with higher risk, and such association continued until the cohort 2012-2015, denoting a significantly lower risk. CONCLUSIONS Despite an increasing trend in the prevalence of overweight/obesity, especially during the COVID-19 pandemic, the latest cohort effect was significantly associated with a lower risk. We recommend continuous efforts on preventive interventions and more research about prevalence trends.
Collapse
Affiliation(s)
- Jinxia Yu
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Sunan Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Jie Yang
- Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xiyan Zhang
- Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Hui Xue
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Xiaoyan Ni
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Wei Du
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Lijun Fan
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Fengyun Zhang
- Department of Child and Adolescent Health, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Yan Wang
- Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| |
Collapse
|
49
|
Cook TM, Fuller KNZ, Sandoval DA. Insights into the neurobiology of weight loss after bariatric surgery and GLP-1R agonists. Neuropharmacology 2025; 265:110269. [PMID: 39675463 PMCID: PMC11702201 DOI: 10.1016/j.neuropharm.2024.110269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 11/18/2024] [Accepted: 12/13/2024] [Indexed: 12/17/2024]
Abstract
Obesity and its related complications are growing in prevalence worldwide, with increasing impact to individuals and healthcare systems alike. Currently, the leading treatment approaches for effective and sustained weight loss are bariatric surgery and gut peptide therapeutics. At a high level, both treatment strategies work by hijacking gut-brain axis signaling to reduce food intake. However, we predict that each modality has distinct neuronal mechanisms that are responsible for their success and complications. This review compares the neurobiology of feeding behavior between these two weight loss strategies via a discussion of both clinical and pre-clinical data. The most compelling evidence points to signaling within the hindbrain, hypothalamus, and reward circuits contributing to weight loss. Considerations for treatment, including differing complications between the two treatment approaches, will also be discussed. Based on the data, we pose the hypothesis that these two interventions are acting via distinct mechanisms to induce weight loss. Both interventions have variable degrees of weight loss across the patient population, thus, understanding these distinct mechanisms could help drive individualized medicine to optimize weight loss. This article is part of the Special Issue on "Food intake and feeding states".
Collapse
Affiliation(s)
- Tyler M Cook
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kelly N Z Fuller
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Darleen A Sandoval
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| |
Collapse
|
50
|
Rubino F, Cummings DE, Eckel RH, Cohen RV, Wilding JPH, Brown WA, Stanford FC, Batterham RL, Farooqi IS, Farpour-Lambert NJ, le Roux CW, Sattar N, Baur LA, Morrison KM, Misra A, Kadowaki T, Tham KW, Sumithran P, Garvey WT, Kirwan JP, Fernández-Real JM, Corkey BE, Toplak H, Kokkinos A, Kushner RF, Branca F, Valabhji J, Blüher M, Bornstein SR, Grill HJ, Ravussin E, Gregg E, Al Busaidi NB, Alfaris NF, Al Ozairi E, Carlsson LMS, Clément K, Després JP, Dixon JB, Galea G, Kaplan LM, Laferrère B, Laville M, Lim S, Luna Fuentes JR, Mooney VM, Nadglowski J, Urudinachi A, Olszanecka-Glinianowicz M, Pan A, Pattou F, Schauer PR, Tschöp MH, van der Merwe MT, Vettor R, Mingrone G. Definition and diagnostic criteria of clinical obesity. Lancet Diabetes Endocrinol 2025; 13:221-262. [PMID: 39824205 PMCID: PMC11870235 DOI: 10.1016/s2213-8587(24)00316-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 09/15/2024] [Accepted: 10/07/2024] [Indexed: 01/20/2025]
Abstract
Current BMI-based measures of obesity can both underestimate and overestimate adiposity and provide inadequate information about health at the individual level, which undermines medically-sound approaches to health care and policy. This Commission sought to define clinical obesity as a condition of illness that, akin to the notion of chronic disease in other medical specialties, directly results from the effect of excess adiposity on the function of organs and tissues. The specific aim of the Commission was to establish objective criteria for disease diagnosis, aiding clinical decision making and prioritisation of therapeutic interventions and public health strategies. To this end, a group of 58 experts—representing multiple medical specialties and countries—discussed available evidence and participated in a consensus development process. Among these commissioners were people with lived experience of obesity to ensure consideration of patients’ perspectives. The Commission defines obesity as a condition characterised by excess adiposity, with or without abnormal distribution or function of adipose tissue, and with causes that are multifactorial and still incompletely understood. We define clinical obesity as a chronic, systemic illness characterised by alterations in the function of tissues, organs, the entire individual, or a combination thereof, due to excess adiposity. Clinical obesity can lead to severe end-organ damage, causing life-altering and potentially life-threatening complications (eg, heart attack, stroke, and renal failure). We define preclinical obesity as a state of excess adiposity with preserved function of other tissues and organs and a varying, but generally increased, risk of developing clinical obesity and several other non-communicable diseases (eg, type 2 diabetes, cardiovascular disease, certain types of cancer, and mental disorders). Although the risk of mortality and obesity-associated diseases can rise as a continuum across increasing levels of fat mass, we differentiate between preclinical and clinical obesity (ie, health vs illness) for clinical and policy-related purposes. We recommend that BMI should be used only as a surrogate measure of health risk at a population level, for epidemiological studies, or for screening purposes, rather than as an individual measure of health. Excess adiposity should be confirmed by either direct measurement of body fat, where available, or at least one anthropometric criterion (eg, waist circumference, waist-to-hip ratio, or waist-to-height ratio) in addition to BMI, using validated methods and cutoff points appropriate to age, gender, and ethnicity. In people with very high BMI (ie, >40 kg/m2), however, excess adiposity can pragmatically be assumed, and no further confirmation is required. We also recommend that people with confirmed obesity status (ie, excess adiposity with or without abnormal organ or tissue function) should be assessed for clinical obesity. The diagnosis of clinical obesity requires one or both of the following main criteria: evidence of reduced organ or tissue function due to obesity (ie, signs, symptoms, or diagnostic tests showing abnormalities in the function of one or more tissue or organ system); or substantial, age-adjusted limitations of daily activities reflecting the specific effect of obesity on mobility, other basic activities of daily living (eg, bathing, dressing, toileting, continence, and eating), or both. People with clinical obesity should receive timely, evidence-based treatment, with the aim to induce improvement (or remission, when possible) of clinical manifestations of obesity and prevent progression to end-organ damage. People with preclinical obesity should undergo evidence-based health counselling, monitoring of their health status over time, and, when applicable, appropriate intervention to reduce risk of developing clinical obesity and other obesity-related diseases, as appropriate for the level of individual health risk. Policy makers and health authorities should ensure adequate and equitable access to available evidence-based treatments for individuals with clinical obesity, as appropriate for people with a chronic and potentially life-threatening illness. Public health strategies to reduce the incidence and prevalence of obesity at population levels must be based on current scientific evidence, rather than unproven assumptions that blame individual responsibility for the development of obesity. Weight-based bias and stigma are major obstacles in efforts to effectively prevent and treat obesity; health-care professionals and policy makers should receive proper training to address this important issue of obesity. All recommendations presented in this Commission have been agreed with the highest level of consensus among the commissioners (grade of agreement 90–100%) and have been endorsed by 76 organisations worldwide, including scientific societies and patient advocacy groups.
Collapse
Affiliation(s)
- Francesco Rubino
- Metabolic and Bariatric Surgery, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK; King's College Hospital, London, UK.
| | - David E Cummings
- University of Washington, Seattle, WA, USA; Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA
| | - Robert H Eckel
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Ricardo V Cohen
- Center for the Treatment of Obesity and Diabetes, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil
| | - John P H Wilding
- Department of Cardiovascular and Metabolic Medicine, University of Liverpool, Liverpool, UK
| | - Wendy A Brown
- Monash University Department of Surgery, Central Clinical School, Alfred Health, Melbourne, VIC, Australia
| | - Fatima Cody Stanford
- Neuroendocrine Unit, Division of Endocrinology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Division of Endocrinology, Department of Pediatrics, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel L Batterham
- International Medical Affairs, Eli Lilly, Basingstoke, UK; Diabetes and Endocrinology, University College London, London, UK
| | - I Sadaf Farooqi
- Institute of Metabolic Science and National Institute for Health and Care Research, Cambridge Biomedical Research Centre at Addenbrookes Hospital, Cambridge, UK
| | - Nathalie J Farpour-Lambert
- Obesity Prevention and Care Program, Department of Medicine, University Hospitals of Geneva, Geneva, Switzerland
| | - Carel W le Roux
- Diabetes Complications Research Centre, University College Dublin, Dublin, Ireland
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Louise A Baur
- Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; Weight Management Services, The Children's Hospital at Westmead, Sydney, NSW, Australia
| | - Katherine M Morrison
- Centre for Metabolism, Obesity and Diabetes Research, Department of Pediatrics, McMaster University, Hamilton, ON, Canada; McMaster Children's Hospital, Hamilton, ON, Canada
| | - Anoop Misra
- Fortis C-DOC Center of Excellence for Diabetes, Metabolic Diseases and Endocrinology, New Delhi, India; National Diabetes Obesity and Cholesterol Foundation, New Delhi, India; Diabetes Foundation New Delhi, India
| | | | - Kwang Wei Tham
- Department of Endocrinology, Woodlands Health, National Healthcare Group, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Priya Sumithran
- Department of Surgery, School of Translational Medicine, Monash University, Melbourne, VIC, Australia; Department of Endocrinology and Diabetes, Alfred Health, Melbourne, VIC, Australia
| | - W Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John P Kirwan
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - José-Manuel Fernández-Real
- CIBER Pathophysiology of Obesity and Nutrition, Girona, Spain; Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain; Hospital Trueta of Girona and Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Barbara E Corkey
- Chobanian & Avedisian School of Medicine, Boston University, Boston, MA, USA
| | - Hermann Toplak
- Division of Endocrinology and Diabetology, Department of Medicine, University of Graz, Graz, Austria
| | - Alexander Kokkinos
- First Department of Propaedeutic Internal Medicine, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Robert F Kushner
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Francesco Branca
- Department of Nutrition and Food Safety, World Health Organization, Geneva, Switzerland
| | - Jonathan Valabhji
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK; Department of Diabetes and Endocrinology, Chelsea and Westminster Hospital National Health Service Foundation Trust, London, UK
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research of Helmholtz Munich, University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Stefan R Bornstein
- Department of Internal Medicine III, Carl Gustav Carus University Hospital Dresden, Technical University Dresden, Dresden, Germany; School of Cardiovascular and Metabolic Medicine & Sciences, Faculty of Life Sciences & Medicine, King's College London, London, UK
| | - Harvey J Grill
- Institute of Diabetes, Obesity and Metabolism, University of Pennsylvania, Philadelphia, PA, USA
| | - Eric Ravussin
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Edward Gregg
- School of Population Health, Royal College of Surgeons in Ireland University of Medicine and Health Sciences, Dublin, Ireland; School of Public Health, Imperial College London, London, UK
| | - Noor B Al Busaidi
- National Diabetes and Endocrine Center, Royal Hospital, Muscat, Oman; Oman Diabetes Association, Muscat, Oman
| | - Nasreen F Alfaris
- Obesity Endocrine and Metabolism Center, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ebaa Al Ozairi
- Clinical Research Unit, Dasman Diabetes Institute, Dasman, Kuwait
| | - Lena M S Carlsson
- Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Karine Clément
- Nutrition and Obesities: Systemic Approaches, NutriOmics Research Group, INSERM, Sorbonne Université, Paris, France; Department of Nutrition, Pitié-Salpêtrière Hospital, Assistance Publique-Hospital of Paris, Paris, France
| | | | - John B Dixon
- Iverson Health Innovation Research institute, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Gauden Galea
- Regional Office for Europe, World Health Organization, Geneva, Switzerland
| | - Lee M Kaplan
- Section on Obesity Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Blandine Laferrère
- Division of Endocrinology, Columbia University Irving Medical Center, New York, NY, USA
| | | | - Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seoul, South Korea
| | | | - Vicki M Mooney
- European Coalition for people Living with Obesity, Dublin, Ireland
| | | | - Agbo Urudinachi
- Department of Community Health, Alex Ekwueme Federal University Teaching Hospital Abakaliki, Abakaliki, Nigeria
| | - Magdalena Olszanecka-Glinianowicz
- Health Promotion and Obesity Management Unit, Department of Pathophysiology, Faculty of Medical Science, Medical University of Silesia, Katowice, Poland
| | - An Pan
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Francois Pattou
- Translational Research for Diabetes, Lille University, Lille University Hospital, Inserm, Institut Pasteur Lille, Lille, France; Department of General and Endocrine Surgery, Lille University Hospital, Lille, France
| | | | - Matthias H Tschöp
- Helmholtz Munich, Munich, Germany; Technical University of Munich, Munich, Germany
| | - Maria T van der Merwe
- University of Pretoria, Pretoria, South Africa; Nectare Waterfall City Hospital, Midrand, South Africa
| | - Roberto Vettor
- Internal Medicine, Center for the Study and the Integrated Treatment of Obesity, Department of Medicine, University of Padova, Padua, Italy; Center for Metabolic and Nutrition Related Diseases,Humanitas Research Hospital, Milan, Italy
| | - Geltrude Mingrone
- Division of Diabetes & Nutritional Sciences, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK; Catholic University of the Sacred Heart, Rome, Italy; University Polyclinic Foundation Agostino Gemelli IRCCS, Rome, Italy
| |
Collapse
|