Polycystic Ovary Syndrome (PCOS) is a prevalent yet under-researched endocrinologic disorder affecting females of reproductive age, characterized by menstrual dysfunction, infertility, hirsutism, acne, and obesity. Despite its global prevalence, with rates varying significantly among Asian communities, there is a notable lack of region-specific epidemiological data, particularly for urban areas in India. The aim of this study is to assess the prevalence of PCOS and associated sociodemographic risk factors among young adult females in Delhi and National Capital Region (NCR), India.

This study is comprised of two components: a cross-sectional survey and a systematic review. The cross-sectional survey involved 1,164 college-going females aged 18-25 years in Delhi NCR, with data collected through a structured interview schedule assessing sociodemographic variables and PCOS symptoms. PCOS diagnosis was based on the already diagnosed cases and cases diagnosed during the study (Rotterdam criteria, 2003), through symptoms and additional assessment through ultrasonography. The systematic review analysed prevalence studies from 2010 to 2024 across India, focusing on the similar age group.

The study found a high 17.40% prevalence rate of PCOS among the participants, with 70.30% already diagnosed and 29.70% newly diagnosed during the study. The prevalence is significantly higher compared to the pooled prevalence of 8.41% reported in previous studies across India. Sociodemographic factors such as age (20 years and above), higher education, ancestry (East India and immigrants), and nuclear family structure were associated with increased PCOS risk. Conversely, factors like belonging to the OBC category and lower middle class were linked to reduced risk.

The high prevalence of PCOS in Delhi NCR compared to other regions highlights the need for targeted epidemiological research and intervention strategies in urban settings. The association of PCOS with modern lifestyle factors and socioeconomic status underscores the importance of addressing these determinants in managing PCOS effectively. The study contributes valuable insights into the sociodemographic dimensions of PCOS and calls for more comprehensive studies to inform public health strategies.

The increased risk of chronic diseases and migration to high-income countries in South Asians has been well established. Considering exposure to changing dietary intake and lifestyle upon migration, accurate nutrition assessment is crucial in this population. The present review aims to summarise dietary assessment methods and nutrient databases for South Asian (SA) migrants in high-income countries.

A systematic search of Medline, Web of Sciences, Embase, CINHAL and Cochrane Central Library databases was conducted in August 2023. Eligible studies were critically appraised using Joanna Briggs Institute Critical Appraisal Tools. Data was extracted using a purpose-built spreadsheet. This systematic review has been registered with PROSPERO (Reg ID: CRD42021274929).

A total of 12991 studies were identified, of which 46 met the eligibility criteria. Dietary assessment methods were categorised as newly validated, previously validated, and not validated. Only ten studies used a validated culturally appropriate dietary assessment tool. This review shows that FFQ and 24-hour (24hr) dietary recall are the most utilised dietary assessment tools for SA migrants. The findings highlight the limited culturally appropriate dietary assessment tools available for SA migrants. Specific design and validation issues, such as cultural specificity, were identified that researchers should consider when developing new nutritional assessment tools for SA migrants.

Depression not only fosters the development of metabolic syndrome through behavioral, physiological, genetic, and treatment-related factors, but it also doubles the risk of experiencing metabolic syndrome. The objectives were to assess the sociodemographic and clinical profile of patients with depressive disorder, to assess the various metabolic parameters of metabolic syndrome in patients with depressive disorder, and to study the association between the severity of depression and metabolic syndrome.

A cross-sectional study was conducted among patients diagnosed with depression (n = 160) attending the Psychiatry outpatient department of a tertiary healthcare facility in Puducherry. The Hamilton Depression Rating Scale (HAM-D) and modified National Cholesterol Education Program-Adult Treatment Panel-III (NCEP ATP-III) criteria were used to assess the severity of depression and diagnose metabolic syndrome, respectively.

The mean age at onset of depression was 31.4 years (+11.3); the duration of depression was 41.2 months (+32.5); and the severity of depression as assessed using the HAM-D was 17.9 (+6.3). The results showed that 27.5% of patients had metabolic syndrome. Factors associated with higher rates of metabolic syndrome included increasing age, female gender (79.5%), being single (25.0%), belonging to upper socioeconomic class (65.9%), non-Hindu religion (20.5%), and urban residence (72.7%) (P < .05). Patients with metabolic syndrome had later onset (36.4 years) and longer duration (51.6 months) of depression, more severe symptoms (18.2), and were more likely to have recurrent depressive disorder or dysthymia (88.6%) (P < .05). Furthermore, the current use of psychotropic medications (59.1%) and obesity (93.2%) were significantly associated with metabolic syndrome (P < .05).

This study reveals a high prevalence of metabolic syndrome among patients with depressive disorders linked to factors such as age, gender, marital status, socioeconomic status, religion, and urban residence. Integrated care approaches, including comprehensive screening and targeted interventions, are crucial for improving both mental and metabolic health outcomes.

This study investigated the prevalence trends of metabolic syndrome (MetS) in children and adolescents with obesity by systematically analyzing global data. Additionally, it aimed to compare regional disparities and criteria used to identify at-risk subpopulations among this demographic group.

We searched three major databases, i.e., PubMed-Medline, Scopus, and Web of Science, from inception to August 31, 2023, yielding 2432 articles. We included original research papers reporting MetS prevalence among children and adolescents with obesity, irrespective of their regions and MetS diagnostic criteria used. We aggregated prevalence estimates using random-effects models to obtain the overall prevalence and conducted subgroup analyses for MetS criteria and study regions.

We included 57 studies, amounting to 27,923 participants. The overall prevalence of MetS in participants with obesity varied greatly across studies, ranging from 2.1% to 74.4%, with an average prevalence of 29.4%. This high prevalence of MetS was further supported by a meta-analysis comprising 57 studies that further strengthened the observation of a high prevalence of MetS, revealing an overall prevalence of 26% (95% CI: 0.22-0.30; I2 = 98%).

Children and adolescents with obesity face a heightened risk of developing MetS. There is a pressing need for heightened attention to this issue, particularly in low- and middle-income countries such as those in sub-Saharan Africa.

Gout, an inflammatory arthritis form, is renowned for its historical association with affluence. This review delves into its pathophysiology, exploring hyperuricemia, urate crystal formation, and the ensuing inflammatory response. The epidemiology of gout is examined, focusing on its rising prevalence and impact on public health. In this study, progress in gout management is discussed, involving pharmacological interventions, dietary changes, and emerging therapies. Genetic predisposition and triggers like alcohol, temperature, and diet are highlighted in this study. Prevention strategies, including serum urate-lowering therapy and lifestyle modifications, aim to reduce recurrent flares and complications. The inflammatory response in acute gout attacks is elucidated, involving immune cells, cytokines, and the NLRP3 inflammasome. Chronic gout manifestations, such as gouty tophus formation, are explored for their destructive impact on surrounding tissues. Recent advancements in gout treatment, including nanotherapies and novel compounds, are discussed, along with promising urate-lowering drugs. Cutting-edge research on zinc ferrite nanoparticles, dimethyl fumarate, and myricetin/nobiletin hybrids addresses oxidative stress and inflammation in gout. Additionally, the potential therapeutic role of methanolic leaf extract of Euphorbia milii and tip-loaded CLC-Soluplus® MAPs is explored as natural and transdermal alternatives for gout management. The review also covers the development status of new urate-lowering drugs, providing insights into promising candidates and their mechanisms. Patents on gout and recent diagnostic advancements using techniques like laser confocal micro Raman spectrometer, FTIR, and THz-TDS offer a more accurate approach for gout stone analysis, enabling early detection and targeted treatment.

Background: The anterior cingulate cortex (ACC) is known for its involvement in various regulatory functions, including in the central control of feeding. Activation of local elements of the central glucose-monitoring (GM) neuronal network appears to be indispensable in these regulatory processes. Destruction of these type 2 glucose transporter protein (GLUT2)-equipped chemosensory cells results in multiple feeding-associated functional alterations. Methods: In order to examine this complex symptomatology, (1) dopamine sensitivity was studied in laboratory rats by means of the single-neuron-recording multibarreled microelectrophoretic technique, and (2) after local bilateral microinjection of the selective type 2 glucose transporter proteindemolishing streptozotocin (STZ), open-field, elevated plus maze, two-bottle and taste reactivity tests were performed. Results: A high proportion of the anterior cingulate cortical neurons changed their firing rate in response to microelectrophoretic administration of D-glucose, thus verifying them as local elements of the central glucose-monitoring network. Approximately 20% of the recorded cells displayed activity changes in response to microelectrophoretic application of dopamine, and almost 50% of the glucose-monitoring units here proved to be dopamine-sensitive. Moreover, taste stimulation experiments revealed even higher (80%) gustatory sensitivity dominance of these chemosensory cells. The anterior cingulate cortical STZ microinjections resulted in extensive behavioral and taste-associated functional deficits. Conclusions: The present findings provided evidence for the selective loss of glucose-monitoring neurons in the anterior cingulate cortex leading to motivated behavioral and gustatory alterations. This complex dataset also underlines the varied significance of the type 2 glucose transporter protein-equipped, dopamine-sensitive glucose-monitoring neurons as potential therapeutic targets. These units appear to be indispensable in adaptive control mechanisms of the homeostatic-motivational-emotional-cognitive balance for the overall well-being of the organism.

Objective Esophageal cancer is a gastrointestinal cancer with a poor prognosis. However, it is curable and can be treated endoscopically if it is detected at an early stage. The objective of this study was to identify the factors that contribute to early detection. Methods From April 2011 to December 2019, we retrospectively investigated consecutive patients diagnosed with esophageal squamous cell carcinoma (ESCC) through upper gastrointestinal endoscopy at two hospitals of Kawasaki Medical University based on medical records. The factors contributing to the early detection of ESCC were investigated by comparing patients with ESCC with those undergoing health checkups in whom no organic lesions were found in the upper gastrointestinal tract on endoscopy (controls). Patients Factors contributing to early detection were examined in 402 ESCC cases and 391 sex- and age-matched controls, and early and advanced cancers were compared along with the risk factors for ESCC. Results A multivariate analysis showed that alcohol consumption and smoking, concomitant cancer of other organs, and a low body mass index (BMI) were factors associated with ESCC (odds ratio [OR], 4.65; 95% confidence interval [CI], 2.880-7.520, OR, 3.63; 95% CI, 2.380-5.540, OR, 2.09; 95% CI, 1.330-3.270, OR, 6.38; 95% CI, 3.780-10.800), whereas dyslipidemia was significantly less common in patients with ESCC (OR, 0.545; 95% CI, 0.348-0.853). Comparing early and advanced cancers, a history of endoscopic screening was the only factor involved in early detection (OR, 7.93; 95% CI, 4.480-14.000). Conclusion The factors associated with ESCC include alcohol consumption, smoking, concomitant cancer of other organs, and a low BMI. Endoscopy in subjects with these factors may therefore be recommended for the early detection of ESCC.

The objective of the current study was to estimate the prevalence and associated factors of overweight/obesity among Bangladeshi adolescents aged 15-19 y and to identify whether wealth-related inequality exists for overweight/obesity among Bangladeshi older adolescents.

We analyzed publicly available national representative secondary data from the 2019-2020 Bangladesh Adolescent Health and Wellbeing Survey. This cross-sectional survey was carried out among 18 249 adolescents aged 15-19 y regardless of their marital status using a two-stage stratified sampling technique (the data of 9128 eligible adolescents were included in this analysis). The WHO reference population for body mass index-for-age (1+Z score) was considered as overweight/obesity.

We found that girls had significantly (p<0.05) higher prevalence of overweight/obesity (11.63%) than boys (8.25%); however, their biological sex as well their age were not significantly associated with higher odds of overweight/obesity. Those who were in their higher grade (grade 11 and higher) in the school and had been exposed to media were more likely (1.67 and 1.39 times, respectively) to be overweight/obesity compared with primary grade (0-5) and those who experienced no media exposure, respectively. Inequality analysis revealed that adolescents belonging to wealthy households had significantly higher rates of overweight/obesity than those in poorer households (concentration index=0.093).

The study exhibited the multifaceted nature of overweight/obesity among Bangladeshi older teenagers, revealing that their school grade, exposure to media content and wealth-related inequality emerged as significant contributing factors. The findings underscore the urgent need for targeted interventions and public health strategies to address the escalating burden of overweight and obesity in this age group.

In the wake of growing concerns regarding diet-related health issues, this study investigates the application of machine learning methods to estimate the energy content and classify the health risks of foods based on the USDA National Nutrient Database. The caloric content of foods was estimated using the nutritional composition (i.e., carbohydrates, protein, total lipid, and total sugar content) and classified based on their weighted health risks, considering their carbohydrate, lipid, and glycemic index levels. The algorithms used for modeling include multiple linear regression (MLR), K-nearest neighbors, support vector machine, random forest regression (RFR), gradient-boosted regression, decision trees (DT), and deep neural networks. The MLR model demonstrated high accuracy on the training dataset (R2 = 0.99, mean absolute error [MAE] = 7.71 kcal, and root mean squared error [RMSE] = 17.89 kcal) and testing dataset (R2 = 0.99, MAE = 7.75 kcal, and RMSE = 18 kcal) in energy estimation, indicating its effectiveness in dietary assessment. The RFR and DT models were useful in categorizing foods into low-health-risk foods, but their performance was reduced in medium and high-health-risk groups. This research contributes to developing tools that could aid in personalized dietary planning and public health interventions to mitigate diet-related health risks. PRACTICAL APPLICATION: This study applies machine learning to estimate how many calories are in food and to understand the health risks different foods might have. By investigating the fats, cholesterol, and sugars in food items listed in a public database, we can better plan diets or develop apps that help people make healthier eating choices. This work aims to improve public access to nutritional information, supporting efforts to combat diet-related diseases through educational materials and applications that guide dietary choices in various settings.

One of the major inflammatory markers, C-reactive protein (CRP), is often elevated in people who have had a heart attack, vascular problems, stroke, or sudden cardiac death. Obesity is associated with higher CRP levels because adipose tissue activates cytokines. Obesity and overweight increase the risk of heart disease, as does an elevated CRP level.

The purpose of this study was to evaluate the association of high-sensitivity CRP (hs-CRP) level with obese normal individuals in North Indian population.

This cross-sectional study included 50 individuals between the ages of 18 and 50 years who were overweight or obese. The degree of obesity was determined by anthropometric measurements. The patients' height, weight, waist circumference (WC), hip circumference, and blood pressure were measured. Enzyme-linked immunosorbent assay-based CRP level was determined from the blood.

The mean WC (cm) was significantly higher in the obese (103.42 ± 9.79) than in the overweight (89.00 ± 8.72). The mean hip circumference (cm) was also significantly smaller in the obese group (99.95 ± 8.07) than in the overweight group (131.29 ± 15.82). The waist-to-hip ratio (WHR) was significantly more in the obese group (88.37%) than in the overweight group (0.00%). WC (cm), hip circumference (cm), WHR, systolic blood pressure (mmHg), and diastolic blood pressure (mmHg) were not significantly correlated with hs-CRP in overweight and obese participants.

Compared with obesity, hs-CRP was not related to obesity. A relationship between hs-CRP and WC, hip circumference, and WHR was not found.

The rapid global spread of a new coronavirus disease known as COVID-19 has led to a significant increase in mortality rates, resulting in an unprecedented worldwide pandemic.

The impact of COVID-19, particularly its long-term effects, has also had a profound effect on the health and well-being of individuals.Metabolic syndrome increases the risk of heart and brain diseases, presenting a significant danger to human well-being.

The prognosis of long COVID and the progression of metabolic syndrome interact with each other, but there is currently a lack of systematic reports.In this paper, the pathogenesis, related treatment and prognosis of long COVID and metabolic syndrome are systematically reviewed.

Objective  The aim of this study was to determine the normative percentiles for liver stiffness measurement (LSM) using shear wave elastography in an adult Asian Indian population as part of the preventive radiology initiative of the Indian Radiological and Imaging Association (IRIA). Methods  LSMs were ascertained by two-dimensional (2D) shear wave elastography using the Mindray Resona series of ultrasound machines. The image quality was assessed using the motion stability index (M-STB) and reliability (RLB) map. Ten acquisitions were documented, and an interquartile range-to-median (IQR/M) ratio ≤30% kilopascal (kPa) units was considered a good-quality measurement. A subgroup of the study population without comorbidities was chosen to derive the normative percentile distribution of LSM using a generalized least squares multivariable fractional polynomial regression model that adjusted for sex and body mass index (BMI). The effectiveness of the estimated percentiles was assessed on the entire study population using the greater than 90th percentile value of the LSM as the cutoff for abnormality. Results  The study included 852 people who underwent shear wave elastography from June 2022 to July 2023. The magnitude of compensated advanced chronic liver disease (cACLD) and clinically significant portal hypertension (CSPH) was 6.81% (95% confidence interval [CI]: 5.30-8.7) and 4.91% (95% CI: 3.67-6.60), respectively. The normative percentiles were estimated from 282 persons without associated comorbidity and risk factors. The mean age (standard deviation [SD]) of the normal individuals was 40.90 ± 12.92 years, and 210 (71.47%) were males. The mean age (SD) of the 570 persons excluded from the normative percentiles analysis was 47.94 (12.49) years and 72.11% were males. The sex- and BMI-adjusted age-specific 90th percentiles of LSM were 8.76, 8.78, 8.96, 8.97, 9.25, and 9.45 kPa for 18 to 20, 21 to 30, 31 to 40, 41 to 50, 51 to 60, and 61 to 70 years, respectively. Conclusion  The sex- and BMI-adjusted age-specific 90th percentiles for LSM using shear wave elastography in Asian Indian adults are almost similar to the greater than 9 kPa cutoff proposed by the Society of Radiologists in Ultrasound Liver Elastography Consensus Statement guidelines to discriminate cACLD and CSPH from normal individuals.

The distribution of body fat and metabolic health may contribute to the onset of metabolic syndrome (MetS), but the associations between body fat anthropometric indices (AIs) and mortality in individuals with MetS remain unclear.

Participants aged 18 years or older with MetS were recruited from the NHANES 1999-2018. The body fat anthropometric indices included the a body shape index (ABSI), body roundness index (BRI), cardiometabolic index (CMI), visceral adiposity index (VAI), waist triglyceride index (WTI), lipid accumulation product (LAP), atherogenic index of plasma (AIP), and triglyceride‒glucose (TyG) index. MetS was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATPIII) criteria. Mortality data were obtained from the National Death Index through December 31, 2019.

Data were collected from 8,379 individuals with MetS, with a median follow-up of 8.5 years, of whom 1,698 died from all causes and 568 from the CCD. The random survival forest (RSF) analysis indicated that the ABSI had the strongest predictive power for both all-cause mortality and CCD mortality among the eight body fat AIs. After adjusting for multiple variables, the ABSI was found to be linearly and positively associated with all-cause and CCD mortality in individuals with MetS. Participants in the highest quartile of ABSI had an increased risk of all-cause (HR = 1.773 [1.419-2.215]) and CCD (HR = 1.735 [1.267-2.375]) mortality compared with those in the lowest quartile. Furthermore, the ABSI predicted areas under the curve (AUCs) of 0.735, 0.723, 0.718, and 0.725 for all-cause mortality at 3, 5, 10, and 15 years, respectively, and 0.774, 0.758, 0.725, and 0.715 for CCD mortality, respectively.

Among eight body fat AIs, the ABSI exhibited the strongest predictive power for mortality in individuals with MetS. Higher ABSI values significantly increased all-cause mortality and CCD mortality in participants with MetS.

Background Type 2 diabetes mellitus (T2DM) is characterized by low insulin production or resistance. Adiponectin, a hormone produced by adipocytes, is essential for regulating glucose metabolism and is correlated with insulin decrease. Aim The aim of this study is to estimate the levels of adiponectin in T2DM patients and their relationship with various metabolic markers (glycated hemoglobin (HbA1c), fasting blood sugar (FBS), fasting insulin, lipid profile, and anthropometric variables in an Indian cohort. Methods This study was conducted at King George's Medical University (KGMU), India, from October 2022 to October 2024. The study (case-control) included 234 subjects: T2DM patients and age-sex-matched healthy controls. Diagnosis of T2DM followed American Diabetes Association criteria. Data collection involved medical history, anthropometric measurements, blood pressure, and biochemical assessments including FBS, HbA1c, lipid profiles, insulin levels, and insulin resistance. Serum adiponectin levels were estimated using an ELISA kit. Results T2DM patients had a significantly higher HbA1c value (7.82±0.96%) compared to controls (5.31±0.39%, p<0.001). Insulin resistance was also significantly higher in T2DM patients (4.31±0.95) than in controls (3.62±0.82, p=0.002). Adiponectin levels were significantly lower in T2DM patients (6.87±3.73 µg/mL) compared to controls (10.18±5.16 µg/mL, p<0.001). Low levels of adiponectin were correlated with HbA1c (r=-0.58, p<0.001), FBS (r=-0.51, p<0.001), and total cholesterol (r=0.38, p<0.001). Adiponectin levels also were correlated with BMI (r=-0.33, p<0.001). Conclusion Lower adiponectin levels in T2DM patients correlate with HbA1c and increased insulin resistance, suggesting that adiponectin may be a biomarker for diabetes management and risk assessment.

Metabolic dysfunction-associated steatotic liver disease (MASLD) and cardiometabolic conditions affect populations across economic strata. Nevertheless, there are limited epidemiological studies addressing these diseases in low (LICs) and lower-middle-income countries (lower MICs). Therefore, an analysis of the trend of MASLD and cardiometabolic conditions in these countries is necessary.

From 2000 to 2019, jointpoint regression analysis was employed to calculate the prevalence, mortality, and disability-adjusted life years (DALYs) for cardiometabolic conditions including MASLD, type 2 diabetes mellitus (T2DM), dyslipidemia (DLP), hypertension (HTN), obesity, peripheral artery disease (PAD), atrial fibrillation and flutter (AF/AFL), ischemic heart disease (IHD), stroke, and chronic kidney disease from HTN and T2DM, in LICs and lower MICs (according to the World Bank Classification 2019) using the Global Burden of Disease 2019 data.

Among the eleven cardiometabolic conditions, MASLD (533.65 million), T2DM (162.96 million), and IHD (76.81 million) had the highest prevalence in LICs and Lower MICs in 2019. MASLD represented the largest proportion of global prevalence in these countries (43 %). From 2000 to 2019, mortality in LICs and lower MICs increased in all cardiometabolic conditions, with obesity-related mortality having the highest increase (+134 %). During this timeframe, there were increased age-standardized death rates (ASDR) from obesity, PAD, and AF/AFL. From all conditions, the DALYs-to-prevalence ratio was higher in LICs and lower MICs than the global average.

The burden of MASLD and cardiometabolic conditions is increasing worldwide, with LICs and lower MICs experiencing higher (DALYs) disability per prevalence. As these conditions are preventable, counteracting these trends requires not only the modification of ongoing actions but also the strategizing of immediate interventions.

Purpose: Recent studies in economics showed that humans are bounded rational. This being consumers, they are not perfect judges of what matters for the standard of living. While with a marked increase in economic and social wellbeing, there is a consistent rise in obesity levels, especially in the developed world. Thus, this study intends to explore the empirical and socio-economic antecedents of human obesity across countries using six global indexes. Methods: This study used the data of 40 countries between 1975 to 2018 and used the Panel FGLS Regression with the quadratic specification. Findings: The results showed that health and food indicators increase global human obesity, environment and education indicators decrease global human obesity, and economic and social indicators follow an inverted U-shaped pattern in affecting global human obesity. Originality: Previous studies have used infant mortality and life expectancy as the major health indicator in determining the standard of living while overlooking global human obesity as a major deterrent to welfare. This study has provided a holistic assessment of the causes of obesity in global contexts.

Purpose - Political globalization is a crucial and distinct component of strengthening global organizations. Obesity is a global epidemic in a few nations, and it is on the verge of becoming a pandemic that would bring plenty of diseases. This research aims to see how the political globalization index affects worldwide human obesity concerning global human development levels. Methods- To assess any cross-sectional dependence among observed 109 nations, the yearly period from 1990 to 2017 is analyzed using second generation panel data methods. KAO panel cointegration test and Fully Modified Least Square model were used to meet our objectives. Finding- Low level of political globalization tends to increase global human obesity because countries cannot sway international decisions and resources towards them. While the high level of political globalization tends to reduce obesity because it can control and amends international decisions. For the regression model, a fully modified Least Square model was utilized. The study observed that the R squared values for all models are healthy, with a minimum of 87 percent variables explaining differences in global obesity at the country level. Originality: There is very important to tackle the globalization issue to reduce global human obesity. With the simplicity of dietary options and the amount of physical labour they undergo in their agricultural duties, an increase in rural population percentage tends to lower the average national obesity value.

Nowadays, metabolic syndrome has become a major health threat, and affects over one billion people globally. It also plays a great role in the growth of diseases like type 2 diabetes, coronary diseases, stroke, and other chronicity. It increases the risk of cardiovascular disorder and stroke by three to ten times and diabetic mellitus by ten times. The prevalence of metabolic syndrome is increasing globally as a result of epidemiological shift. Low and middle-income countries are facing an increasing burden of metabolic syndrome. There is a need for concerted efforts to modify behavioral risk factors that significantly contribute to the prevalence of the syndrome. This can be done by developing and implementing appropriate interventions that can bring behavior change after testing for effectiveness, feasibility, and acceptability. Thus, this study aims to develop and test the effectiveness, feasibility and acceptability of an education intervention promoting healthy lifestyle to reduce risk factors for metabolic syndrome, among office workers in Ethiopia.

This randomized controlled trial will be implemented with 226 bank employees (age ≥18 years) with metabolic syndrome from government and private banks in Bahir Dar City, Ethiopia. Participants will be randomized to intervention (education) and control (general health advice) groups. The intervention group will be given one-on -one base education about healthy diets, physical exercise, stress management, avoidance of harmful alcohol consumption and smoking cessation by experts on health promotion. Text messages will be sent every two weeks and reading materials will also be provided. Additionally, a review meeting will be held at the 3rd and 6th month of the intervention. The primary outcomes of interest will be change in metabolic parameters (obesity levels, blood pressure, fasting blood glucose, total cholesterol, high density lipoprotein, low density lipoprotein, and triglycerides). Secondary outcomes will be knowledge, attitudes and practice of the participants towards lifestyle and cardiovascular risk factors, feasibility, acceptability, implementation fidelity, and cost-effectiveness of the intervention. Data will be collected at three time points: at baseline, at the 6th month of the intervention and at the end of the intervention (9 months). Generalized linear mixed models will be utilized to compare the desired outcome between the trial arms, after accounting for baseline variations. Cost-benefit analysis and a qualitative process evaluation of the intervention will also be conducted.

This randomized control trial study will provide information on the effectiveness, feasibility, and acceptability of an education intervention promoting healthy lifestyle to reduce risk factors for metabolic syndrome, among office workers in Ethiopia, where the burden of metabolic syndrome is high among office workers.

This trial has been prospectively registered at the Australian New Zealand Clinical Trials Registry: ACTRN12623000409673p.

The escalating prevalence of MetS, driven by global obesity trends, underscores the urgent need for innovative therapeutic strategies. To gain a deeper understanding of the therapeutic potential of vitamin D in addressing MetS, we embarked on a targeted literature review that thoroughly examines the scientific underpinnings and pivotal discoveries derived from pertinent studies, aiming to unravel the intricate mechanisms through which vitamin D exerts its effects on MetS and its components. This article explores the multifunctional role of vitamin D in the management of MetS, focusing on its regulatory effects on insulin sensitivity, lipid metabolism, inflammation, and immune response. Through an extensive review of current research, we unveil the complex mechanisms by which vitamin D influences MetS components, highlighting its potential as a therapeutic agent. Our analysis reveals that vitamin D's efficacy extends beyond bone health to include significant impacts on cellular and molecular pathways critical to MetS. We advocate for further research to optimize vitamin D supplementation as a component of precision medicine for MetS, considering the safety concerns related to dosage and long-term use.

Metabolic syndrome has emerged as a significant global public health concern, necessitating comprehensive examination alongside cardiovascular diseases (CVDs) and type 2 diabetes mellitus (T2D). This study provides a comprehensive analysis of clinical trials, drawing upon data sourced from the International Clinical Trials Registry Platform (ICTRP), until April 2023. Information pertaining to trial attributes and intervention features was gathered and subsequently summarized. Among the 2379 studies found on ICTRP from 18 clinical registries, ClinicalTrials.gov was the most popular with 55 % of the studies, based on data emerging from the United States. Most trials were for treatment (44 %) and prevention (17 %), with fewer focused on basic science, and diagnostic purposes. Diet and exercise were the most prominent, with 710 and 247 studies, respectively. Metformin and statins emerge as leading pharmacological therapies, reflecting the prevalence of CVD and T2D in the context of metabolic syndrome. However, there is growing recognition of other promising interventions, such as Glucagon-Like Peptide-1 agonists and Dipeptidyl Peptidase IV inhibitors, which offer potential in slowing the progression of metabolic syndrome-related conditions. Notably, clinical trials primarily assessed diagnostic markers like lipid profiles, insulin, and blood pressure, rather than body mass and body mass index. These parameters are crucial for evaluating the effectiveness and safety of interventions for metabolic syndrome due to its multi-condition nature. Most studies aimed to address general symptom relief, while highlighting a need for additional well-designed treatment trials with rigorous methodologies in accordance with the World Health Organization's guidance for consistent evaluation and treatment.

Abstract Aims: To explore whether the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C) was independently associated with the risk of incident type 2 diabetes mellitus (T2DM) in a large Japanese cohort. Methods: A secondary analysis was performed using open-access data from a retrospective cohort study. A total of 12,716 eligible participants who had standard medical examinations at the Murakami Memorial Hospital were included in this study. New-onset T2DM was the main outcome during follow-up. The risk of T2DM based on the TG/HDL-C ratio was evaluated using Cox regression analysis and Kaplan-Meier analysis. Subgroup analysis was performed to understand further the significance of the TG/HDL-C ratio in particular populations. To assess the potential of the TG/HDL-C ratio for predicting T2DM, a receiver operating characteristic (ROC) analysis was performed. Results: One hundred fifty new-onset T2DM cases were observed during a median follow-up of 5.39 years. The incidence of T2DM increased with a rise in the TG/HDL-C ratio based on the Kaplan-Meier curves (P < 0.0001). After controlling for potential confounding variables, the TG/HDL-C ratio was positively related to incidence of T2DM (hazard ratio = 1.08, 95% confidence interval: 1.01-1.15, P = 0.0239). In subgroup analysis, those with a body mass index of ≥18.5 and <24 kg/m2 showed a significantly positive relationship. The area under the ROC curve for the TG/HDL-C ratio as a T2DM predictor was 0.684. The optimal TG/HDL-C ratio cutoff value for T2DM was 1.609, with a sensitivity of 54.7% and a specificity of 73.6%. Conclusion: The authors' results showed a significant relationship between the TG/HDL-C ratio and the incidence of T2DM in the Japanese population.

Metabolic syndrome (MetS) with obesity has significant mortality and morbidity. Integrative Ayurveda management is explored for it's possible effect.

To evaluate the effect of Tryushnadi churna in the management of Metabolic syndrome with obesity.

Study is a Randomized, Controlled, double blind, parallel group comparative clinical trial. 48 participants meeting the National Cholesterol Education Programme Adult Treatment panel 3 diagnostic criteria were recruited in the study. They were divided in two 2 groups. Placebo group were administered with Placebo 1 gm twice a day, Ayurveda diet and yoga. Tryushnadi Group were intervened with Tryushnadi churna 1 gm twice a day, Ayurveda diet and yoga. Interventions were for 90 days. Assessments criteria included Weight, BMI,Waist circumference (WC), Waist hip ratio, Skin fold thickness (SFT), Body fat, blood pressure, WHO-QOL BREF scale, Clinical Global Impression Scale (CGI)- Severity, Global improvement and Efficacy index, Fasting blood sugar (FBS) were assessed on every 30th day. Other blood parameters like Glycated haemoglobin (HbA1c), Triglycerides, High density lipoproteins (HDL), Low density lipoproteins (LDL), Total cholesterol (TC) were evaluated at pre and post study.

Between groups comparison showed, Tryushnadi group had significant improvements in BMI, Weight, WHOQOL-Bref and had large effect size. Both the groups showed improvement in WC, body fat, SFT, CGI severity, CGI efficacy index and improvement in quality of life in within group assessment.

Study showed that Tryushnadi churna was effective in management of MetS with Obesity. Integrated management of Ayurveda medicine, Ayurveda diet and yoga had beneficial effect.

Lipid accumulation product (LAP) is a novel predictor index of central lipid accumulation associated with metabolic and cardiovascular diseases. This study aims to investigate the accuracy of LAP for the screening of metabolic syndrome (MetS) in general adult males and females and its comparison with other lipid-related indicators.

A systematic literature search was conducted in PubMed, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and ProQuest for eligible studies up to May 8, 2024. Outcomes were pooled mean difference (MD), odds ratio (OR), and diagnostic accuracy parameters (sensitivity, specificity, and area under the summary receiver operating characteristic [AUSROC] curve). Comparative analysis was conducted using Z-test.

Forty-three studies involving 202,313 participants (98,164 males and 104,149 females) were included. Pooled MD analysis showed that LAP was 45.92 (P < 0.001) and 41.70 units (P < 0.001) higher in men and women with MetS, respectively. LAP was also significantly associated with MetS, with pooled ORs of 1.07 (P < 0.001) in men and 1.08 (P < 0.001) in women. In men, LAP could detect MetS with a pooled sensitivity of 85% (95% CI: 82%-87%), specificity of 81% (95% CI: 80%-83%), and AUSROC curve of 0.88 (95% CI: 0.85-0.90), while in women, LAP had a sensitivity of 83% (95% CI: 80%-86%), specificity of 80% (95% CI: 78%-82%), and AUSROC curve of 0.88 (95% CI: 0.85-0.91). LAP had a significantly higher AUSROC curve (P < 0.05) for detecting MetS compared to body mass index (BMI), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), body roundness index (BRI), a body shape index (ABSI), body adiposity index (BAI), conicity index (CI) in both genders, and waist circumference (WC) and abdominal volume index (AVI) in females.

LAP may serve as a simple, cost-effective, and more accurate screening tool for MetS in general adult male and female populations.

(1) Background: This study investigated the association between body mass index (BMI) categories and comorbidities in the context of a developing country, utilizing data from a nationwide health screening in Mongolia. (2) Methods: The study included 181,080 individuals (mean age 47.0 ± 15.3, 42.0% male) from the population-based general health screening. We counted the number of diseases from participants' medical records based on ICD-10 codes, excluding those categorized under Z00-Z99 and codes indicating acute disorders, as well as individuals classified as underweight. (3) Results: Among study participants, the prevalence of two or more comorbidities was 4.2%. The weight distribution comprised 40.4% normal weight; 37.1% overweight; and 16.9%, 4.4%, and 1.2% in the Class I, II, and III obesity categories, respectively. Comorbidities increased with BMI: normal weight (0.222); overweight (0.255); and Class I (0.290), Class II (0.302), and Class III obesity (0.303), suggesting a dose-dependent likelihood of having multiple diseases. Adjusted linear regression (beta coefficients, 95% CIs) showed increased comorbidity risks in overweight (0.017, 0.013-0.021) and obesity (0.034, 0.030-0.039). Interaction analysis with age revealed a significant effect (p < 0.001). While comorbidities tend to increase with higher BMI categories in all age-tertile groups, this association was notably stronger among younger individuals. (4) Conclusions: Obesity is associated with a twofold increase in the prevalence of multiple comorbidities compared to normal weight. Our findings also highlight the critical role of age in the development of multiple diseases, with BMI remaining a significant factor across various age groups, encompassing both younger and older adults.

The growing prevalence of overweight/obesity in adolescents highlights the significance of studying metabolic syndrome (MetS) in increasingly sedentary adolescents. To date, no study in Sudan has examined the association between MetS and physical activity (PA) among adolescents. This study aimed to assess the association between MetS and its components and PA among Sudanese early adolescents. A cross-sectional assessment was conducted from to 2018 to 2019 on a sample of 921 primary school students from Khartoum State, Republic of Sudan. MetS was defined according to the International Diabetes Federation criteria and a standardized questionnaire was used to assess PA. Metabolic equivalents of task were calculated, and levels of different intensities of PA (tertiles) were identified accordingly. The association between PA and MetS and its components was assessed using a logistic regression model. The participants comprised 388 boys and 533 girls with a mean age of 12.59 ± 1.21 years. The prevalence of MetS was significantly higher in subjects in the 1st PA tertile (least active) than in the 2nd and 3rd (most active) tertiles of PA, and this difference was observed in both boys and girls. After adjusting for other study factors, the odds of MetS among adolescents in the 1st PA tertile were 7 times higher than those in the highest PA tertile (adjusted odds ratio = 7.01, 95% confidence interval: 1.48, 32.99). A physically inactive lifestyle was associated with higher odds of MetS and its components, especially waist circumference and triglyceride levels, in Sudanese early adolescents. This study highlights the importance of promoting PA in this age group.

To target public health obesity prevention, we need to predict who might become obese i.e. predictors of increasing Body Mass Index (BMI) or obesity incidence. Predictors of incidence may be distinct from more well-studied predictors of prevalence, therefore we explored parent, child and sociodemographic predictors of child/adolescent BMI z-score and obesity incidence over 5 years in Malaysia.

The South East Asia Community Observatory in Segamat, Malaysia, provided longitudinal data on children and their parents (n = 1767). Children were aged 6-14 years at baseline (2013-14) and followed up 5 years later. Linear multilevel models estimated associations with child BMI z-score at follow-up, adjusting for baseline BMI z-score and potential confounders. Predictors included parent cardiometabolic health (overweight/obesity, central obesity, hypertension, hyperglycaemia), and socio-demographics (ethnicity, employment, education). Logistic multilevel models explored predictors of obesity incidence.

Higher baseline BMI z-score predicted higher follow-up BMI z-score both in childhood to late adolescence (0.60; 95% CI: 0.55, 0.65) and early to late adolescence (0.76; 95% CI: 0.70, 0.82). There was inconsistent evidence of association between child BMI z-score at follow-up with parent cardiometabolic risk factors independent of baseline child BMI z-score. For example, maternal obesity, but not overweight, predicted a higher BMI z-score in childhood to early adolescence (overweight: 0.16; 95% CI: -0.03, 0.36, obesity: 0.41; 95% CI: 0.20, 0.61), and paternal overweight, but not obesity, predicted a higher BMI z-score in early to late adolescence (overweight: 0.22; 95% CI: 0.01, 0.43, obesity: 0.16; 95% CI: -0.10, 0.41). Parental obesity consistently predicted five-year obesity incidence in early to late adolescence, but not childhood to early adolescence. An adolescent without obesity at baseline with parents with obesity, had 3-4 times greater odds of developing obesity during follow-up (incidence OR = 3.38 (95% CI: 1.14-9.98, mother) and OR = 4.37 (95% CI 1.34-14.27, father) respectively).

Having a higher BMI z-score at baseline was a stronger predictor of a higher BMI z-score at follow-up than any parental or sociodemographic factor. Targeting prevention efforts based on parent or sociodemographic factors is unwarranted but early childhood remains a key period for universal obesity prevention.

The rising prevalence of insulin resistance (IR), obesity, and its complications in India is due to lifestyle changes, eating patterns, stress, and genetic factors. Markers for IR are often expensive, invasive, or impractical for use in economically disadvantaged or remote areas. To address this, we evaluated the efficacy of the triglyceride to high-density lipoprotein (TG/HDL) ratio as a simple, reliable, accessible, and affordable surrogate marker of IR in comparison to the homeostatic model assessment for insulin resistance (HOMA-IR).

This cross-sectional observational study was performed at a tertiary care center in central India and included 815 subjects aged 18 to 60 years after excluding those with systemic diseases, drugs affecting weight, or pregnant or lactating women. Descriptive and inferential statistical analysis was done to represent the study findings.

Males and obese subjects were more insulin resistant than females and non-obese subjects, respectively. The TG/HDL had a sensitivity of 91.81%, a specificity of 92.88%, a positive predictive value of 94.46%, and a negative predictive value of 89.56%, with a diagnostic accuracy of 92.27% when compared to HOMA-IR.

We concluded that TG/HDL serves as a simple, affordable, and accurate marker of IR in a diverse population of central India. There is a definite scope to use the same for large-scale screening, epidemiological research, and routine clinical practice.

This systematic review aimed to evaluate metabolic syndrome as a risk factor for the development of peripheral arterial disease (PAD). We searched in four databases: (1) PubMed, (2) Web of Science, (3) Scopus, and (4) Embase until March 2021. We included cohort studies that evaluated the risk of PAD in patients with and without metabolic syndrome. Study selection, data extraction, and risk of bias analysis were performed independently by 2 authors. We used a random-effects model to conduct a meta-analysis of effect measures [hazard ratio (HR), risk ratio (RR), and odds ratio (OR)]. Individual analyses were performed according to the diagnostic criterion used for metabolic syndrome. We included 7 cohort studies with a total of 43 824 participants. Most of the studies were performed in the general adult population. The metabolic syndrome and PAD diagnostic criteria used in the individual studies were heterogeneous. Almost all studies using RR found an association between metabolic syndrome and the development of PAD (RR: 1.31; confidence interval 95%: 1.03-1.59; I 2 : 15.6%). On the other hand, almost all the studies that used HR found no association between the two variables. All studies had a low risk of bias. In conclusion, available evidence on the association between metabolic syndrome and the risk of developing PAD is inconsistent. However, given the high prevalence of risk factors that patients with metabolic syndrome have, testing to rule out PAD could be recommended. Future studies should analyze each component of the metabolic syndrome separately and according to the severity of PAD.

Obesity rates are increasing almost everywhere in the world, although the pace and timing for this increase differ when populations from developed and developing countries are compared. The sharp and more recent increase in obesity rates in many Latin American countries is an example of that and results from regional characteristics that emerge from interactions between multiple factors. Aware of the complexity of enumerating these factors, we highlight eight main determinants (the physical environment, food exposure, economic and political interest, social inequity, limited access to scientific knowledge, culture, contextual behaviour and genetics) and discuss how they impact obesity rates in Latin American countries. We propose that initiatives aimed at understanding obesity and hampering obesity growth in Latin America should involve multidisciplinary, global approaches that consider these determinants to build more effective public policy and strategies, accounting for regional differences and disease complexity at the individual and systemic levels.

Metabolic syndrome, a significant risk factor for cardiovascular mortality in patients with end-stage renal disease, profoundly impacts patient prognosis and survival. Despite its clinical importance, the prevalence of metabolic syndrome remains unexplored in this population. Therefore, the objective of this study was to systematically assess the prevalence of metabolic syndrome among patients with end-stage renal disease and raise awareness among healthcare professionals.

We conducted a comprehensive search in CNKI, WANFANG, WeiPu, CBM, PubMed, Web of Science, EMBASE, and The Cochrane Library databases. The search time was until August 21, 2023. Standardized tables were employed for data extraction and imported into Stata 16.0 software for subsequent meta-analysis. A random-effects model was employed to estimate combined prevalence and 95% confidence intervals. Subgroup and sensitivity analyses were conducted to explore potential sources of heterogeneity, while publication bias was evaluated using a funnel plot and Egger's test. This study has been registered with PROSPERO under the registration number CRD42023456284.

This meta-analysis comprised 35 studies involving a total of 14,202 participants. The pooled prevalence estimate for metabolic syndrome was 49.0% [95% CI (46.0,53.0)]. We conducted subgroup analyses based on participant characteristics, gender distribution, publication year, national economic status, diagnostic criteria employed, and components of metabolic syndrome.

The prevalence of metabolic syndrome is higher among patients with end-stage renal disease, necessitating early prevention and control measures to reduce its incidence and delay the progression of the disease, thereby improving patient life expectancy.

Although gender differences in major depressive disorder (MDD) have been widely reported, there has not been much focus on gender differences in comorbidity. In patients with MDD and comorbid metabolic syndrome (Mets), the goal of this study was to investigate potential gender differences in the prevalence and clinical correlates of concomitant anxiety.

Seven hundred and ninety-four first-episode and drug-naïve patients (FEDN) patients with MDD and comorbid Mets were recruited. For each patient, sociodemographic data, thyroid function indicators, and Mets parameters were acquired. Each participant completed the 14-item Hamilton Assessment Scale for Anxiety (HAMA) and the 17-item Hamilton Assessment Scale for Depression (HAMD).

There were no gender differences in the prevalence of anxiety in patients with MDD and comorbid Mets. Female patients with MDD had a shorter duration of illness. Correlation analysis showed that HAMD score, TSH, TgAb, and TPOAb were associated with anxiety prevalence in female patients, whereas anxiety onset in male patients was only associated with TSH, TgAb, and TPOAb levels. In addition, multiple logistic regression analysis showed that TSH and TgAb predicted anxiety in male patients, whereas HAMD score and age of onset significantly predicted anxiety in female patients.

Cross-sectional design and no control for anxiety-related factors.

Our study showed no gender differences in the prevalence of anxiety in patients with MDD and comorbid Mets. HAMD score was associated with anxiety in female patients, whereas TSH, TgAb, and TPOAb were associated with anxiety in male patients.

This review focuses on the question of metabolic syndrome (MS) being a complex, but essentially monophyletic, galaxy of associated diseases/disorders, or just a syndrome of related but rather independent pathologies. The human nature of MS (its exceptionality in Nature and its close interdependence with human action and evolution) is presented and discussed. The text also describes the close interdependence of its components, with special emphasis on the description of their interrelations (including their syndromic development and recruitment), as well as their consequences upon energy handling and partition. The main theories on MS's origin and development are presented in relation to hepatic steatosis, type 2 diabetes, and obesity, but encompass most of the MS components described so far. The differential effects of sex and its biological consequences are considered under the light of human social needs and evolution, which are also directly related to MS epidemiology, severity, and relations with senescence. The triggering and maintenance factors of MS are discussed, with especial emphasis on inflammation, a complex process affecting different levels of organization and which is a critical element for MS development. Inflammation is also related to the operation of connective tissue (including the adipose organ) and the widely studied and acknowledged influence of diet. The role of diet composition, including the transcendence of the anaplerotic maintenance of the Krebs cycle from dietary amino acid supply (and its timing), is developed in the context of testosterone and β-estradiol control of the insulin-glycaemia hepatic core system of carbohydrate-triacylglycerol energy handling. The high probability of MS acting as a unique complex biological control system (essentially monophyletic) is presented, together with additional perspectives/considerations on the treatment of this 'very' human disease.

The prevalence of type 2 diabetes is on a rapid rise in Tanzania, driven by lifestyle modifications, nutritional changes, and increased obesity rates. This article reviews the epidemiology, and disease trends of type 2 diabetes in Tanzania and explores the economic implications and challenges in care, including policy, education, and healthcare systems.

The study employs a narrative literature review from research articles, local healthcare reports, surveys, and public health records. It evaluates the economic impacts, healthcare capabilities, and patient behaviors in managing type 2 diabetes in Tanzania.

The economic burden of diabetes in Tanzania is increasing due to direct healthcare costs, lost productivity, and reduced quality of life, placing significant pressure on the already resourcelimited healthcare system. Treatment dropout rates are alarmingly high, and healthcare providers' knowledge of diabetes is insufficient. Insulin and metformin availability are critically low. Cultural norms and dietary habits pose substantial barriers to effective disease management.

The growing prevalence of type 2 diabetes in Tanzania presents a significant public health crisis, necessitating comprehensive strategies for prevention, early detection, and effective disease management. Priorities should include enhancing healthcare infrastructure, increasing public investment, improving healthcare education, and tackling socio-cultural barriers to disease management.

Understanding the differences in the burden of liver cancer due to different risk factors across provinces is critical to informing and improving liver cancer prevention and control. In this study, we estimated the population attributable fractions (PAFs) of liver cancer in all 31 provinces of China in 2016.

Prevalence estimates of risk factors were derived from representative surveys. We used pooled relative risks obtained from several recent large-scale pooled analyses or high-quality meta-analyses. We calculated PAFs using multiple formulas which included exposure prevalence and relative risk data stratified by sex, age and province, and then combined and created overall PAFs by sex, risk factors and risk factor groups.

Approximately 252 046 liver cancer cases {69.5% [95% confidence interval (CI) 52.6, 76.5]} and 212 704 deaths [67.7% (95% CI 50.9, 74.6)] were attributable to modifiable risk factors in China in 2016. The overall PAF for liver cancer was approximately 1.5 times higher in men than in women, with the top three risk factors in men being hepatitis B virus (HBV), smoking and alcohol drinking, whereas in women, they were HBV, excess body weight and hepatitis C virus (HCV). Among the risk factor groups, infectious agents had the highest PAF, followed by behavioural factors and metabolic factors.

The PAF for liver cancer caused by modifiable risk factors varies widely among provinces and socioeconomic and geographical regions in China. The use of tailored primary prevention strategies across provinces and socioeconomic and geographical regions has great potential to reduce the burden and disparities of liver cancer.

This review provides an overview of the barriers to the consumption of fruits and vegetables (FVs) as well as strategies to improve the intake of FVs in low- and middle-income countries (LMICs). The importance of the consumption of FVs and its role in disease prevention are discussed briefly. Trends in the consumption of FVs in LMICs are also summarised. The WHO recommends that every individual should consume at least five servings or 400 grams of FVs per day. Epidemiological and clinical investigations have demonstrated that FVs contain numerous bioactive compounds with health-protecting activities. Despite their health benefits, the intake of FVs in LMICs remains low. Major barriers identified were socio-demographic factors, environmental conditions, individual and cultural factors, and macrosystem influences. These barriers may be lowered at the household, school, community, and national level through multi-component interventions including behaviour change communication (BCC) initiatives, nutrition education (NE), gardening initiatives, farm to institution programs (FIPs), food baskets, cash transfers, nutrition-agriculture policy and program linkages, and food-market environment-based strategies. This review has research implications due to the positive outcomes of strategies that lower such barriers and boost consumption of FVs in LMICs.

Obesity has become a worldwide pandemic affecting more than 650 million people and is associated with a high burden of morbidity. Alongside traditional risk factors for obesity, the gut microbiome has been identified as a potential factor in weight regulation. Although rodent studies suggest a link between the gut microbiome and body weight, human evidence for causality remains scarce. In this Review, we postulate that existing evidence remains to establish a contribution of the gut microbiome to the development of obesity in humans but that modified probiotic strains and supraphysiological dosages of microbial metabolites may be beneficial in combatting obesity.

Metabolic syndrome (MetS) is a core driver of cardiovascular diseases (CVD); however, to date, gender differences in MetS prevalence and its components have not been assessed in the Algerian adult general population. This study aimed to determine the gender differences in MetS prevalence and its components, in the general population of Algeria. Secondary analysis was performed on data from the Algerian 2016-2017 non-communicable disease risk factor survey. MetS was determined according to the harmonized Joint Interim Statement criteria. A Poisson regression model based on Generalised Estimating Equations was used to estimate the adjusted prevalence ratios (aPR) for the sex-specific factors associated with MetS. Overall, the prevalence of MetS was 34.0% (95% CI 32.4-35.6). MetS prevalence in women and men was 39.1% (95% CI 37.0-41.3) and 29.1% (95% CI 27.2-31.2), respectively. The most frequent triad was the clustering of abdominal obesity with low HDL-cholesterol and high blood pressure among women (8.9%; 95% CI [8.0-10.0]) and low HDL-cholesterol with high blood pressure and hyperglycaemia among men (5.2%; 95% CI [4.3-6.3]). Increasing age (aPR 3.21 [2.35-4.39] in men and aPR 3.47 [2.86-4.22] in women), cohabitation (aPR 1.14 [1.05-1.24]), women residing in urban areas (aPR 1.13 [1.01-1.26]), men with higher educational levels (aPR 1.39 [1.14-1.70]), and men with insufficient physical activity (aPR 1.16 [1.05-1.30]) were associated with higher risk of MetS. In this population-based study, one in three Algerian adults had MetS, and key components including abdominal obesity, low HDL-cholesterol, and high blood pressure, are very common, especially in women. Reinforcing interventions for weight management targeting married women living in urban areas and improving sufficient physical activity in men with higher socioeconomic status could provide maximal health gains and stem the CVD epidemic in Algeria.

Obesity is a global problem associated with several conditions, including hypertension, diabetes, arthritis and cardiovascular diseases. With the increase in the prevalence of obesity in recent years, mostly in developing countries, it is important to study its impact on various diseases, including infectious illnesses, such as Chagas disease, caused by the protozoan Trypanosoma cruzi. Considering that a diet rich in salt, sugar, and fat is associated with obesity, this study aimed to evaluate the influence of cafeteria diet (CAF)-induced obesity on immune responses in T. cruzi-infected rats.

Male Wistar Hannover rats were provided with water and food ad libitum (chow group). The CAF-fed groups received a normal rodent diet or CAF. The animals were intraperitoneally infected with 105 trypomastigote forms of the Y strain of T. cruzi present in the whole blood from a previously infected mouse.

CAF-fed rats showed a significant increase in visceral adipose tissue weight compared to chow-fed rats. A significant reduction in CD3+ CD4+ helper splenic T cells was observed in obese-infected rats compared to non-obese-infected rats, as well as CD11b and macrophages. In addition, macrophages from obese animals displayed reduced RT1b levels compared to those from control animals. Moreover, INF-γ, an important factor in macrophage activation, was reduced in obese-infected rats compared with their counterparts.

These results indicate that a CAF can impair the cell-mediated immune response against T. cruzi.

Immunometabolism has emerged as a rapidly growing field of research, holding significant promise for personalised medicine and precision immunotherapy. This review explores the intricate relationship between immune function and metabolic processes, emphasising their profound impact on various immune-related disorders. Understanding how metabolic dysregulation contributes to the pathogenesis of these disorders remains a critical research gap. Therefore, this review aims to bridge that gap by examining the key metabolic pathways involved and their specific implications in immune cell function. Key metabolic pathways, including glycolysis, mitochondrial metabolism, fatty acid metabolism, and amino acid metabolism, are discussed in the context of immune cell function. Dysregulation of these pathways can disrupt immune cell activation, differentiation, and overall function, contributing to disease pathogenesis. Understanding these metabolic alterations' molecular mechanisms is essential for developing targeted therapeutic interventions. The review also emphasises the importance of personalised medicine in immune-related disorders. The unique metabolic profiles of individuals can influence treatment outcomes, highlighting the need for tailored approaches. Integrating metabolic profiling into clinical practice can enhance treatment efficacy and improve patient outcomes. Investigating the clinical significance of immunometabolism in diverse disease contexts will facilitate the translation of research findings into clinical practice. Moreover, refining treatment strategies based on individual metabolic profiles will contribute to advancing precision immunotherapy.

Metabolic syndrome (MetS) is a cluster of cardio-metabolic dysfunctions characterised by increased fasting plasma glucose, waist circumference, blood pressure, triglycerides and reduction in high-density lipoprotein cholesterol. Meanwhile, metabolic dysfunction-associated fatty liver disease (MAFLD) is the new term for fatty liver associated with MetS. People with MetS or MAFLD have higher risks for adverse cardiovascular outcomes and mortalities. However, large-scale data on MetS and MAFLD prevalence in Malaysia is mainly unknown. This study aims to determine the prevalence of MetS and MAFLD among the general adult population in Malaysia.

This is a community-based nationwide cross-sectional study in Malaysia. The data collection period is from July 2023 until September 2023, with a planned sample size of 1296 participants. We use a two-stage proportionate stratified random sampling method to ensure national representativeness. The definition of MetS follows the Harmonised Joint Interim Statement in 2009. A diagnosis of MAFLD is made if a participant has fatty liver, defined as having a Fatty Liver Index ≥60 and has type 2 diabetes, a body mass index ≥23 kg/m2, or ≥2 metabolic risk abnormalities. Complex sample analysis will be conducted, and the disease prevalence will be reported with 95% CIs, unweighted counts and estimated populations.

The protocol has been approved by the Medical Research and Ethics Committee of the Ministry of Health Malaysia (NMRR ID-22-02845-GUT). The findings will be disseminated through a formal report, policy brief, scientific publications, conference presentations, social media, print media and stakeholder engagement activities.

Adolescence is the critical stage of an individual's growth and development that determines their nutritional status in the future. Adolescent overnutrition has become an increasing public health concern in developing countries like Ethiopia.

This study was designed to determine the magnitude and determinants of overnutrition among school-going adolescents in Dale District of Ethiopia.

An institution-based cross-sectional study was done between November and December 2020. A total of 333 school-going adolescents aged 10-19 years participated in this study. Socio-demographic, lifestyle, physical activity level, dietary energy intake, and height and weight data were collected. Body Mass Index for age Z-score (BAZ) was computed. Binary and multivariable logistic regression models were used to determine the association of outcome variable with explanatory variables, and results were reported using adjusted odds ratio (AOR) with 95% confidence interval.

The magnitude of overnutrition was 7.2% (10.8% in the urban versus. 3.6% of rural schools). Overnutrition was positively associated with lack of sufficient play area within the school (AOR = 2.53, 95% CI [1.02-6.26]), being an urban resident (AOR = 3.05, 95% CI [1.12-8.29]), positive energy balance (AOR = 9.47, 95% CI [1.58-56.80]), consuming fast foods within a month before the survey date (AOR = 2.60, 95% CI [1.93-6.83]), having moderate (AOR = 9.28, 95% CI [6.70-71.63]) or low physical activity (PA) (AOR = 7.95, 95% CI [1.12-56.72]), and consuming snack within last one week before the survey date (AOR = 3.32, 95% CI [1.15-9.58]).

The magnitude of overnutrition among school-going adolescents was suboptimal. Sedentary lifestyles, excess calorie intake, having inadequate play areas within the school, and having snack and fast foods were determinants for overnutrition in the study area.

This study aims to redefine obesity cut-off points for body mass index (BMI) and fat mass index (FMI) according to the different age groups of physically active males. Healthy physically active volunteers (N = 1442) aged 18-57 years (y), with a mean BMI = 22.7 ± 2.8 kg/m2, and mean FMI = 4.3 ± 1.7 kg/m2 were recruited from various fitness centers. BMI was calculated and individuals were categorized according to the Asia-Pacific BMI criterion of ≤22.9 kg/m2 and the previous WHO-guided BMI criterion of ≤24.9 kg/m2. FMI was also calculated for the study participants with a cut-off of 6.6 kg/m2. Redefining of BMI and FMI cut-off values was carried out based on different age groups categorized with a difference of 10 y and 5 y using the receiver operating characteristic (ROC) curve and Youden's index. For the entire study population, BMI redefined cut-off points for overweight and obesity were 23.7 kg/m2 and 24.5 kg/m2, respectively, while FMI redefined cut-off points for overweight and obesity were 4.6 kg/m2 and 5.7 kg/m2, respectively. With 10 y of age group difference, a constant BMI and FMI values were observed, while with 5 y of age group difference, a constant increase in the BMI cut-offs was observed as the age group increased, i.e., from 23.3 kg/m2 in 20-24 y to 26.6 kg/m2 in ≥45 y and a similar trend was seen in FMI cut-offs. To conclude, our study suggests that age-dependent BMI and FMI cut-off points may provide appropriate measurements for physically active males as the age group increases.