A diet rich in fat and sugar is present in society everyday life, leading to the development of metabolic changes, especially in intestinal microbiota. Chia oil is a source of alpha-linolenic acid, which has antioxidant and anti-glycemic effects. Based on this, we hypothesized that chia oil may promote intestinal health.

The study aims to investigate the effects of chia oil on gut microbiota and intestinal health in Wistar rats fed a high-fat and high-fructose diet (HFHF).

The animals were separated into two groups and received the following diets: standard murine diet (AIN-93M) (n = 10) and HFHF (n = 20) to induce metabolic changes (phase I) during eight weeks. After that, the AIN-93M group remained unchanged, while the HFHF group was divided into two groups: HFHF (n = 10) and HFHF with chia oil (HFHF+CO) (n = 10) for ten weeks (phase II, chia oil treatment). We analyzed immunoglobulin A (IgA) levels, cecal pH, short-chain fatty acids (SCFAs), intestinal permeability, intestinal microbiome composition, histomorphometry, and murinometric parameters.

Chia oil consumption increased alpha-linolenic acid intake, IgA levels, propionic acid production, cecum weight, goblet cell number, thickness and depth of intestinal crypts, and the thickness of both circular and longitudinal muscle layers of the colon, and decreased cecal pH. No change was observed in the alpha and beta diversity between the HFHF and HFHF+CO groups. The HFHF+CO diet increased the relative abundance of genera Lactobacillus sp., Faecalibacterium sp., and Erysipelatoclostridium sp., compared to the AIN-93M group. No difference was observed in the intestinal permeability among the groups.

Chia oil consumption is an alternative for improving the intestinal health of rats fed a HFHF diet.

Genome-wide association studies (GWASs) are often performed on ratios composed of a numerator trait divided by a denominator trait. Examples include body mass index (BMI) and the waist-to-hip ratio, among many others. Explicitly or implicitly, the goal of forming the ratio is typically to adjust for an association between the numerator and denominator. While forming ratios may be clinically expedient, there are several important issues with performing GWAS on ratios. Forming a ratio does not "adjust" for the denominator in the sense of conditioning on it, and it is unclear whether associations with ratios are attributable to the numerator, the denominator, or both. Here we demonstrate that associations arising in ratio GWAS can be entirely denominator driven, implying that at least some associations uncovered by ratio GWAS may be due solely to a putative adjustment variable. In a survey of 10 common ratio traits, we find that the ratio model disagrees with the adjusted model (performing GWAS on the numerator while conditioning on the denominator) at around 1/3 of loci. Using BMI as an example, we show that variants detected by only the ratio model are more strongly associated with the denominator (height), while variants detected by only the adjusted model are more strongly associated with the numerator (weight). Although the adjusted model provides effect sizes with a clearer interpretation, it is susceptible to collider bias. We propose and validate a simple method of correcting for the genetic component of collider bias via leave-one-chromosome-out polygenic scoring.

Individuals with a higher body fat percentage may have higher serum levels of caffeine and its metabolites and process caffeine more slowly than individuals with a lower body fat percentage, so the aim of this study is to compare the occurrence of positive and negative effects of caffeine in nonobese and obese women.

One hundred and sixty women were included in the study. Body fat was determined using the mBCA 515 SECA analyzer. Participants were divided into 4 groups: nonobese caffeine, nonobese placebo, obese caffeine and obese placebo. Caffeine groups received 6 mg/kg body weight caffeine. Placebo groups received identical starch-filled capsules. One hour after ingestion and within 24 h, participants completed a caffeine-induced effect questionnaire. Caffeine intake showed statistically significant differences compared to placebo for neutral (p ≤ 0.014; Cramér's V = 0.27; 27 % increase), negative (p ≤ 0.002; Cramér's V = 0.34; 34 % increase), and positive effects (p ≤ 0.015; Cramér's V = 0.27; 27 % increase). Further analysis revealed significant associations with increased urine output (p ≤ 0.014; Cramér's V = 0.27; 27 % increase), vigor/activeness (p ≤ 0.009; Cramér's V = 0.29; 29 % increase), and headache (p ≤ 0.033; Cramér's V = 0.24; 24 % increase) 1 h post-ingestion. No significant effects were observed in the placebo group. There was no statistically significant placebo effect.

Obese and nonobese women show different responses to caffeine 60 min after ingesting 6 mg/kg body weight. Obese women are more likely to report adverse effects, including increased urine output, heightened vigor/activeness, and headaches, compared to nonobese women.

ANZCTR12622000823774; June 10, 2022.

This systematic review aims to map the existing literature on salivary biomarkers in adults with metabolically unhealthy obesity (MUO), identify key biomarkers associated with this high-risk group, and highlight areas requiring further research to advance this emerging field.

Obesity is characterized by an abnormal accumulation of body fat and chronic inflammation. However, not all individuals with obesity experience metabolic dysfunction. This review focuses on MUO, which is strongly linked to metabolic disorders such as insulin resistance, cardiovascular disease, type 2 diabetes, and systemic inflammation. Linking MUO and salivary biomarkers may enhance our understanding of how systemic health influences salivary composition and could enable the early identification of high-risk individuals through non-invasive saliva testing. This review synthesized findings from recent studies and identified key salivary biomarkers consistently elevated in individuals with MUO, including 8-OHdG, IL-6, IL-8, resistin, TNFR1, PTX-3, AEA, OEA, TNF-α, and sICAM-1. These biomarkers are associated with inflammation, oxidative stress, and metabolic dysregulation. The majority of studies utilized cross-sectional designs and used various saliva collection methods. Salivary biomarkers hold promise as non-invasive indicators of obesity-related metabolic dysfunction, particularly in MUO. However, their clinical diagnostic utility remains uncertain due to heterogeneity in study designs, a lack of biomarker validation, and limited longitudinal studies. Further research is needed to establish their bona fide diagnostic potential.

This study aimed to evaluate whether maternal nutritional status, maternal age, mode of delivery, and the infant's sex influence the profiles of amino acids, energetic metabolites, sugars, and fatty acids and as well as the metabolic pathways in mature human milk human milk (HM).

This was a cross-sectional, prospective, and observational study. HM samples from normal weight (NW, n = 60), overweight (OW, n = 35), and obese (OB, n = 14) women were analyzed using a non-targeted GC-MS method to identify the metabolome. Data obtained were analyzed with Metaboanalyst software (v. 5.0) and SPSS (v.25.0).

OB women HM contains a higher proportion of amino acids such as leucine, lysine, tyrosine, and aspartic acid, energy metabolites such as lactic and succinic acid, and sugars and derivatives such as fucose, rhamnose, and gluconic acid (p < 0.05) compared with normal weight women HM. HM from women > 25 years of age contains a lower proportion of lauric acid and a higher proportion of leucine and tyrosine (p < 0.05) than ≤ 25 years women HM. Also, HM intended for female infants has a higher leucine and gluconic acid content. The main altered metabolic pathways in OB women HM correspond to amino acids and energetic metabolism.

OB women HM provides more amino acids, energetic molecules, and sugars. Increased maternal weight, BMI, and body fat mass predispose to more leucine and aspartic acid in HM. Maternal age influences lauric acid, leucin, and tyrosine levels, while the infant's sex influences leucine and gluconic acid levels in HM. The impact of obese women's HM metabolome on the offspring's physiology needs to be explored.

R-2021-785-096.

Childhood obesity is linked to motor and sensorimotor impairments, including proprioceptive deficits. While research has predominantly focused on lower limb proprioception, less is known about the impact on upper limbs. This study investigated the relationship between body mass index, body fat percentage, and proprioception of children aged 11-12 years.

A quantitative, correlational, observational design was employed. BMI was calculated from weight and height measurements, body fat percentage was assessed via bioelectrical impedance analysis, and proprioception was measured using an active repositioning test with inertial sensors in 44 children.

Significant correlations were found between BMI and positional errors in the shoulder (r = 0.64, p < 0.001), elbow (r = 0.36, p = 0.007), and knee (r = 0.42, p = 0.002). Regarding body fat percentage, significant correlations were observed with positional errors in the shoulder (r = 0.28, p = 0.031), elbow (r = 0.46, p < 0.001), and knee (r = 0.29, p = 0.030). Regression analysis showed that BMI and body fat percentage significantly predicted positional errors in the shoulder, elbow, and knee. In the shoulder joint, girls demonstrated lower positional errors compared to boys, influenced by both BMI (β = -1.36, p = 0.015) and body fat percentage (β = -3.00, p < 0.001).

Higher BMI and body fat percentage are associated with shoulder, elbow, and knee joint proprioceptive deficits. Interventions targeting weight reduction and proprioceptive training may mitigate these deficits and promote sensorimotor function in children.

One of the major causes of hypertension (HT) is the transition of normal weight (NW) status to overweight (OW) status and obesity in a population, which leads to cardiovascular disease (CVD) and other disorders. A variety of factors/variables are involved in the development of HT and OW-related hypertension (OHT). However, we planned to investigate the pathophysiological role of serum leptin (Lep), tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), total cholesterol (TC) and serum testosterone (ST) in OHT in middle-aged men.

We consulted three groups of middle-aged men (age: 51-60 years)-an HT group (n: 97, high normal weight (HNW), body mass index (BMI): 23-24.9 kg/m2); an OHT group (n: 97, high overweight (HOW), BMI: 28-29.9 kg/m2) and a normal control group (NC, n: 98, HNW)-to investigate the variations in and correlations of Lep, IL-6, TNF-α, ST, TC and other variables.

Significant variations were obtained for the comparisons of TNF-α, Lep, ST and TC for the patient groups. OHT vs. NC showed a significant difference for ST. OHT vs. NC and OHT vs. HT had significant variations for IL-6. Significant changes were obtained for the serum levels of TNF-α, Lep, IL-6, ST and TC among groups. Significant and positive linear associations were obtained for TNF-α, Lep, TC and IL-6. Significant and negative linear associations were found for ST plotted against Lep, TNF-α and IL-6.

The current report provides pathophysiological evidence of the interactive role of serum Lep, TNF-α, ST, TC and IL-6 in middle-aged men with HT and OHT. We suggest that the changes we noted in the present study would be helpful for further BMI-based studies in various subcategories of NW, OW and obese subjects with/without HT.

Obesity, often caused by disorders of lipid metabolism, is a global health concern. Flavonoids from staple grains and legumes are expected as a safer and more cost-effective alternative for the future development of dietary flavonoid-based anti-obesity dietary supplements or drugs. This review systematically summarized their content variation, metabolism in the human body, effects and molecular mechanisms on lipid metabolism. These flavonoids intervene in lipid metabolism by inhibiting lipogenesis, promoting lipolysis, enhancing energy metabolism, reducing appetite, suppressing inflammation, enhancing insulin sensitivity, and improving the composition of the gut microbial. Fermentation and sprouting techniques enhance flavonoid content and these beneficial effects. The multidirectional intervention of lipid metabolism is mainly through regulating AMPK signaling pathway. This study provides potential improvement for challenges of application, including addressing high extraction costs and improving bioavailability, ensuring safety, filling clinical study gaps, and investigating potential synergistic effects between flavonoids in grains and legumes, and other components.

Body composition has been linked with clinical and prognostic outcomes in patients with cancer and cardiovascular diseases. Body composition analysis in lung cancer screening (LCS) is very limited. This study aimed at assessing the association of subcutaneous fat volume (SFV) and subcutaneous fat density (SFD), measured on chest ultra-low dose computed tomography (ultra-LDCT) images by a fully automated artificial intelligence (AI)-based software, with clinical and anthropometric characteristics in a LCS population.

Demographic, clinical, and dietary data were obtained from the written questionnaire completed by each participant at the first visit, when anthropometric measurements, blood sample collection and chest ultra-LDCT were performed. Images were analyzed for automated 3D segmentation of subcutaneous fat and muscle. The analysis included 938 volunteers (372 females); men with a smoking history of ≥40 pack-years had higher SFV (p = 0.0009), while former smokers had lower SFD (p = 0.0019). In female participants, SFV and SFD differed significantly according to age. SFV increased with rising BMI, waist circumference, waist-hip ratio, and CRP levels ≥2 mg/L (p < 0.0001), whereas SFD decreased with rising BMI, waist circumference, waist-hip ratio, and CRP levels ≥2 mg/L (p < 0.001) in both sexes. SFV was associated with glycemia and triglycerides levels (p = 0.0067 and p=<0.0001 in males, p = 0.0074 and p < 0.0001 in females, respectively), while SFD with triglycerides levels (p < 0.0001).

We observed different associations of SFV and SFD with age and smoking history between men and women, whereas the association with anthropometric data, CRP, glycemia and triglycerides levels was similar in the two sexes.

Sarcopenia is prevalent among hemodialysis patients and is associated with poor outcomes. The neutrophil-to-lymphocyte ratio (NLR), an easily obtainable marker of inflammation, may predict sarcopenia risk. This study aimed to investigate the association between NLR and sarcopenia risk in maintenance hemodialysis patients, examining this association in the context of obesity.

This cross-sectional study included 411 maintenance hemodialysis patients. Sarcopenia was diagnosed using the Asian Working Group for Sarcopenia criteria-2019 (AWGS 2019). Body composition was assessed using bioelectrical impedance analysis. Logistic regression models examined associations between NLR and sarcopenia risk, adjusting for potential confounders. Analyses were stratified by obesity status.

The prevalence of sarcopenia was 51% (95% CI: 45.1-54.9%), with 37.2% classified as sarcopenic non-obese and 13.6% as sarcopenic obese. In fully adjusted models, each unit increase in NLR was associated with 10% higher odds of sarcopenia overall (OR 1.10, 95% CI: 1.00-1.21, p = 0.048). This association remained significant in sarcopenic obese patients (OR 1.15, 95% CI: 1.00-1.32, p = 0.049). Patients in the highest NLR tertile had 1.95 times higher odds of sarcopenia compared to the lowest tertile (95% CI: 1.12-3.40, p = 0.018), with a significant trend across tertiles (p-trend = 0.015).

NLR is independently associated with sarcopenia risk in hemodialysis patients, including those with obesity. These findings suggest NLR could serve as a simple, cost-effective tool for identifying hemodialysis patients at high risk of sarcopenia, potentially facilitating early intervention strategies.

Several trials have shown that low-dose computed tomography-based lung cancer screening (LCS) allows a substantial reduction in lung cancer-related mortality, carrying the potential for other clinical benefits. There are, however, some uncertainties to be clarified and several aspects to be implemented to optimize advantages and minimize the potential harms of LCS. This review summarizes current evidence on LCS, discussing some of the well-established and potential benefits, including lung cancer (LC)-related mortality reduction and opportunity for smoking cessation interventions, as well as the disadvantages of LCS, such as overdiagnosis and overtreatment. CLINICAL RELEVANCE STATEMENT: Different perspectives are provided on LCS based on the updated literature. KEY POINTS: Lung cancer is a leading cancer-related cause of death and screening should reduce associated mortality. This review summarizes current evidence related to LCS. Several aspects need to be implemented to optimize benefits and minimize potential drawbacks of LCS.

The objective of this study was to examine whether obesity without preexisting or gestational comorbidities is associated with postpartum hospital use (PHU).

We studied 2016 to 2018 birth certificate and discharge data on 178,729 New York City births without International Classification of Diseases, Tenth Revision (ICD-10) codes at delivery for diabetes; hypertension; placental disease; anemia; thyrotoxicosis; bariatric surgery; and pulmonary, cardiac, renal, bleeding, autoimmune, digestive, neuromuscular, mental, or substance-use disorders. We defined PHU as ≥1 readmission or emergency department visit within 30 days of delivery discharge. We used ICD-10 codes to specify postpartum hypertension, infection, or hemorrhage during PHU (i.e., "cause-specific PHU") because these are leading mortality causes. We examined associations between prepregnancy BMI and PHU using multivariable logistic regression.

PHU incidence was 3.7% for those with normal weight, 5.1% for those with overweight, 6.3% for those with class 1 or 2 obesity, and 9.1% for those with class 3 obesity. A positive association persisted after adjustment. Obesity was associated with cause-specific PHU of postpartum hypertension (adjusted odds ratio [aOR]: 2.2, 95% confidence limits [CL]: 1.8-2.7, normal weight referent) and wound infection (aOR: 1.5, 95% CL: 1.2-1.8), but not hemorrhage (aOR: 0.9, 95% CL: 0.7-1.3), mastitis, or genitourinary infection (aOR: 1.1, 95% CL: 0.9-1.3).

Among individuals without other comorbidities, elevated BMI was associated with PHU. Findings can inform obstetric management to reduce morbidity during the critical fourth trimester.

Association of serum vitamin D (vitD) with leptin (Lep) and tumor necrosis factor-alpha (TNF-α) is not precisely known in overweight hypertensive (OW-HT) postmenopausal (PMP) women. Hence, the present study was carried out to investigate the body mass index (BMI)-based correlation of serum vitD with Lep and TNF-α in OW-HT PMP women.

Women subjects in their early PMP (n = 346, age: 51 - 60 years) categorized into three groups had main inclusion criteria of specified range of age, BMI and blood pressure (BP). Enzyme-linked immunosorbent assay (ELISA) and other kit methods were employed to investigate the role of various variables in three subject groups (normal weight normotensive (NW-NT, n = 116, BMI (kg/m2): 22 - 24.9), normal weight hypertensive (NW-HT, n = 115, BMI: 22 - 24.9) and OW-HT (n = 115, BMI: 25 - 29.9) PMP women).

A significant negative linear correlation of vitD with serum Lep and TNF-α, and a significant positive linear correlation of BMI with Lep and TNF-α in OW-HT PMP women were obtained. Significantly higher levels of serum Lep, TNF-α and interleukin-6 (IL-6) were found in OW-HT PMP women, as compared to NW-HT PMP women.

The present study suggests that decreased serum vitD levels correlate with the Lep and TNF-α in OW-HT PMP women. However, further studies may help understand the impact of vitD in cardiovascular events and the influencing factors in OW-HT PMP women.

Because the occurrence of metabolic syndrome (MetS) might contribute to childhood cancer survivor's excess risk of cardiovascular disease, the authors assessed the prevalence and determinants of MetS in the Dutch Childhood Cancer Survivor Study (DCCSS-LATER2) cohort.

In total, 2338 adult childhood cancer survivors (CCS) were cross-sectionally assessed for the prevalence of MetS, using the Lifelines cohort (N = 132,226 adults without a history of cancer) as references. The prevalence of MetS was clinically assessed using existing classifications, as well as an alternative method using dual-energy x-ray absorptiometry fat% instead of waist circumference to define abdominal adiposity. Logistic regression models, adjusted for age and sex, were used to investigate the association between the presence of MetS and both cohorts. Demographic, lifestyle, and treatment determinants of MetS were identified through multivariable logistic regression.

The survivor cohort (median age, 34.7 years, median follow-up time, 27.1 years) showed increased adjusted odds ratio (aOR) for MetS (modified National Cholesterol Education Program Adult Treatment Panel III criteria), as compared to the reference cohort (aOR, 2.07; 95% confidence interval [CI], 1.85-2.32). Compared to these criteria, the alternative method identified 57 additional survivors with MetS (395 of 2070 [19.1%] vs. 452 of 1960 [23.1%], respectively). Age (odds ratio [OR], 1.07; 95% CI, 1.04-1.10, per year increase), smoking (OR, 1.46; 95% CI, 1.04-2.04), low physical activity (OR, 1.48; 95% CI, 1.05-2.09), abdominal radiotherapy (OR, 2.13; 95% CI, 1.01-4.31; >30 Gy), cranial radiotherapy (OR, 2.89; 95% CI, 1.67-4.96; 1-25 Gy; and OR, 2.44; 95% CI, 1.30-4.47; >25 Gy), total body irradiation (OR, 6.17; 95% CI, 3.20-11.76), and underlying central nervous system tumor (OR, 1.78; 95% CI, 1.21-2.60) were associated with MetS.

The high risk of MetS in CCS, combined with several potential modifiable factors, underscores the need for timely identification and intervention strategies to mitigate the long-term cardiovascular risks in CCS.

Background: Endometrial cancer is strongly associated with obesity, and tumors often harbor mutations in major cancer signaling pathways. To inform the integration of body composition into targeted therapy paradigms, this hypothesis-generating study explores the association between muscle mass, body fat, and tumor proteomics. Methods: We analyzed data from 113 patients in The Cancer Genome Atlas (TCGA) and Cancer Proteomic Tumor Analysis Consortium (CPTAC) cohorts and their corresponding abdominal CT scans. Among these patients, tumor proteomics data were available for 45 patients, and 133 proteins were analyzed. Adiposity and muscle components were assessed at the L3 vertebral level on the CT scans. Patients were stratified into tertiles of muscle and fat mass and categorized into three groups: high muscle/low adiposity, high muscle/high adiposity, and low muscle/all adiposities. Linear and Cox regression models were adjusted for study cohort, stage, histology type, age, race, and ethnicity. Results: Compared with the high-muscle/low-adiposity group, both the high-muscle/high-adiposity (HR = 4.3, 95% CI = 1.0-29.0) and low-muscle (HR = 4.4, 95% CI = 1.3-14.9) groups experienced higher mortality. Low muscle was associated with higher expression of phospho-4EBP1(T37 and S65), phospho-GYS(S641) and phospho-MAPK(T202/Y204) but lower expression of ARID1A, CHK2, SYK, LCK, EEF2, CYCLIN B1, and FOXO3A. High muscle/high adiposity was associated with higher expression of phospho-4EBP1 (T37), phospho-GYS (S641), CHK1, PEA15, SMAD3, BAX, DJ1, GYS, PKM2, COMPLEX II Subunit 30, and phospho-P70S6K (T389) but with lower expression of CHK2, CRAF, MSH6, TUBERIN, PR, ERK2, beta-CATENIN, AKT, and S6. Conclusions: These findings demonstrate an association between body composition and proteins involved in key cancer signaling pathways, notably the PI3K/AKT/MTOR, MAPK/ERK, cell cycle regulation, DNA damage response, and mismatch repair pathways. These findings warrant further validation and assessment in relation to prognosis and outcomes in these patients.

This study builds on prior findings that link increased availability of takeaway food outlets in home, workplace, and commuting environments to greater takeaway consumption and adiposity. Using longitudinal data, we examine associations of takeaway availability at baseline with changes in consumption and adiposity between baseline and follow-up.

We analyzed data from the Fenland Study, with baseline data from 2005 to 2015 and follow-up from 2015 to 2020. Takeaway outlet availability within 1 mile of participants' home and workplace addresses, based on 2011 local authority data, was assessed. Outcomes included takeaway food consumption (from a food frequency questionnaire) and body fat percentage (measured via dual-energy x-ray absorptiometry) at follow-up.

Among 7581 participants (mean [SD] age, 49.3 [7.4] years) with a mean follow-up of 6.7 years, no positive association was found between takeaway outlet availability at baseline and changes in consumption or body fat percentage. However, among the 12 associations tested, the highest combined home-workplace availability of takeaway outlets, compared with none, was associated with a 0.68 decrease in body fat percentage (95% CI: 0.24-1.12).

Although takeaway outlet availability was linked to greater consumption and adiposity at baseline, it did not predict changes over time, underscoring the complexity of dietary behaviors and their relationship with the neighborhood food environment.

This study investigates the potential relationship between obesity and self-ranking of poverty, as a proxy for self-awareness and happiness. To the best of our knowledge, this issue has not been previously explored based on self-ranking of poverty when income is controlled.

Ordered Probit Regressions. We propose a new measure for the influence of western social values and norms associated with discrimination against obese women.

Based on a follow-up survey after two years, findings demonstrate a drop in the projected probability of self-ranking as "not poor" with the BMI from 0.73 to 0.37 (females) - 0.48 (males) when the level of income is controlled. Similar outcomes are obtained when the independent variables are lagged and thus avoid endogeneity concerns. Finally, additional outcomes support the conclusion that the lagged BMI Granger-cause self-ranking of poverty for women, but not for men. Findings support the awareness of more obese women to lower prospects of finding a job.

Since according to twin studies, approximately 80% of obesity emanates from genetic factors, research findings stress the need to educate the public against prejudices on the grounds of obesity. In particular, our study seeks to evoke awareness among potential employers, which, in turn, might motivate avoidance of, or at least reduction in, an implicit wage penalty against obese women.

Bone strength depends on both bone density and quality. However, the differences in how body composition indices affect bone strength between men and women remains unclear. This study investigated the associations of various fat and lean indices with bone strength by sex. In this cross-sectional study involving 1,419 participants, bone mineral density (BMD) and body composition were measured using dual-energy X-ray absorptiometry. Bone quality was assessed using the trabecular bone score (TBS). Fat indices included total fat mass, body fat percentage, and waist circumference, while lean indices included appendicular lean mass (ALM) and hand grip strength. All fat indices demonstrated a positive association with BMD and a negative association with the TBS in both men and women. Fat indices were more strongly associated with BMD in women than in men. Furthermore, lean indices contributed more to BMD in men than in women. In women, ALM contributed more to BMD than hand grip strength, whereas in men, hand grip strength had a greater impact on BMD than ALM. Hand grip strength was also positively associated with the TBS in men. Overall, fat indices had a greater influence on BMD in women, while lean indices were more positively associated with bone strength in men. Considering different fat indices, ALM was more strongly associated with BMD in women, whereas hand grip strength played a greater role in men. Thus, maintaining both muscle mass and strength is crucial for preserving bone mass.

Childhood obesity represents a significant public health concern, imposing a substantial burden on the healthcare system. Furthermore, weight-loss programs often exhibit reduced effectiveness in adults who have a history of childhood obesity. Therefore, early intervention against childhood obesity is imperative. Presently, the primary method for diagnosing childhood obesity relies on body mass index (BMI), yet this approach has inherent limitations. Leptin, a satiety hormone produced by adipocytes, holds promise as a superior tool for predicting both childhood and subsequent adulthood obesity. In this review, we elucidate the tools employed for assessing obesity in children, delve into the biological functions of leptin, and examine the factors governing its expression. Additionally, we discuss maternal and infantile leptin levels as predictors of childhood obesity. By exploring the relationship between leptin levels and weight loss, we present leptin as a potential indicator of the effectiveness of obesity interventions.

Maternal gut and breast milk (BM) are key in vertically transmission bacteria to infants, shaping their gut microbiota in early life. Although the establishment of early gut microbiota is known, the role of the combined influence of maternal factors and newborn characteristics is not explored. In this study, we aimed to assess the influence of maternal BMI and total body fat, age, delivery mode, and newborn sex on the diversity and composition of the BM and gut microbiota (GM) in mother-newborn dyads. In this cross-sectional study, of the 986 pregnant women candidates, 53 participated, and, finally, 40 mother-newborn dyads exclusively breastfeeding at 20-28 days postpartum were included. Metataxonomic profiling of DNA extracted from BM and fecal samples was conducted using 16S rRNA sequencing. Globally, the findings offer valuable insights that excessive adiposity, age, and C-section delivery influence a lower abundance of specific taxa in the BM, maternal gut, and gut of newborns. Also, the simultaneous analysis of maternal factors and newborn characteristics shows that maternal age and newborn sex explain an important variation in the microbiota composition. These results add to the understanding of the intricate interplay between maternal factors and the microbial communities that influence early-life gut and BM microbiota.

This study examined the association of everyday discrimination with risk of obesity and the potential modifying effect of religious service attendance. Participants included Black, South Asian, and white women in three cohort studies that belong to the Study on Stress, Spirituality and Health. Logistic regression models estimated odds of obesity classification (BMI ≥ 30) relative to experiences of everyday discrimination. In initial pooled analyses, high levels of discrimination were related to increased odds of obesity. Race-specific analyses revealed marginal associations for white and South Asian women. Among Black women, high levels of discrimination and religious service attendance were both associated with higher odds of obesity. However, among women who attended religious services frequently, higher levels of everyday discrimination were associated with slightly lower odds of obesity. These findings underline the complex association between obesity and religion/spirituality, suggesting that higher levels of discrimination may uniquely activate religious resources or coping strategies. Findings highlight the need for additional studies to examine the impact of everyday discrimination on risk of obesity across racial/ethnic communities and how religious practices or coping strategies might affect these dynamics.

Excessive body weight and adiposity contribute to many adverse health concerns. The American College of Sports Medicine (ACSM) recognizes that the condition of excess body weight and adiposity is complex, with numerous factors warranting consideration. The ACSM published a position stand on this topic in 2001 with an update in 2009, and a consensus paper on the role of physical activity in the prevention of weight gain in 2019. This current consensus paper serves as an additional update to those prior ACSM position and consensus papers. The ACSM supports the inclusion of physical activity in medical treatments (pharmacotherapy, metabolic and bariatric surgery) of excess weight and adiposity, as deemed to be medically appropriate, and provides perspectives on physical activity within these therapies. For weight loss and prevention of weight gain, the effects may be most prevalent when physical activity is progressed in an appropriate manner to at least 150 min·wk-1 of moderate-intensity physical activity, and these benefits occur in a dose-response manner. High-intensity interval training does not appear to be superior to moderate-to-vigorous physical activity for body weight regulation, and light-intensity physical activity may also be an alternative approach provided it is of sufficient energy expenditure. Evidence does not support that any one single mode of physical activity is superior to other modes for the prevention of weight gain or weight loss, and to elicit holistic health benefits beyond the effects on body weight and adiposity, multimodal physical activity should be recommended. The interaction between energy expenditure and energy intake is complex, and the effects of exercise on the control of appetite are variable between individuals. Physical activity interventions should be inclusive and tailored for sex, self-identified gender, race, ethnicity, socioeconomic status, age, and developmental level. Intervention approaches can also include different forms, channels, and methods to support physical activity.

Most previous studies suggested obesity deteriorates the functional outcome after ischemic stroke. But there are researches claiming that obesity is associated with lower mortality, recurrence, and readmission rates, which is known as the obesity paradox. Our current research aimed to investigate the correlation between genetically obesity and the post-stroke outcome with the Mendelian randomization (MR) method.

The UK Biobank and the GIANT consortium provided instrumental variables for body mass index (BMI, 806,834 individuals) and waist-to-hip ratio (WHR, 697,734 individuals). Data of functional outcome after ischemic stroke were obtained from the Genetics of Ischemic Stroke Functional Outcome network (6012 individuals). Inverse-variance weighted approach was utilized as the primary analyses. Sensitivity analyses involved the utilization of different MR methods. The heterogeneity among genetic variants was assessed by I2 and Q value statistics.

In univariable analysis, there was a significant connection between genetic susceptibility to WHR and worse functional outcome (modified Rankin Scale 3) after ischemic stroke (OR [95%CI] = 1.47 [1.07, 2.02], P = 0.016). Genetic liability to BMI and was not associated with post-stroke functional outcome (all P > 0.05). The overall patterns between genetic liability to WHR and functional outcome post-ischemic outcome no longer existed in the multivariable MR analysis after adjusting for BMI (OR [95%CI] = 1.26[0.76,1.67], P = 0.56).

The current MR study provided evidence that WHR was correlated to unfavorable outcome post-ischemic stroke. Exploring interventions against obesity may potentially improve recovery after ischemic stroke.

Sarcopenic obesity, characterized by both obesity and sarcopenia, significantly impacts health and independence of affected individuals. There is an urgent need to explore effective strategies for addressing or preventing sarcopenic obesity. An initial critical step is to promptly assess the impact of academic research in this field, considering factors such as geographical regions, authors, journals, and institutions. It is also essential to analyze current trends and identify potential areas that may inspire future researchers to conduct further studies, ultimately improving public health outcomes for individuals with sarcopenic obesity. To achieve this, bibliometric research was conducted using the Web of Science Core Collection database to identify English language articles and reviews focusing on sarcopenic obesity interventions published between January 1, 2004, and June 15, 2024, followed by a literature review. A total of 929 English-language articles were collected, consisting of 645 research articles and 284 reviews. Research output in the field has shown significant growth since 2017, reaching a peak of 139 papers in 2022. The United States leads in publication output with 234 papers and a total of 13,971 citations, highlighting substantial international collaboration. Both the United States and Europe are recognized as key academic hubs for sarcopenic obesity intervention research, characterized by robust academic interactions. Moreover, there has been a notable increase in publication volume from China, South Korea, and Japan. Noteworthy authors in this field include Boirie Y from Université Clermont Auvergne in France, Prado CM from the University of Alberta in Canada, Cruz-Jentoft AJ from Hospital Universitario Ramon y Cajal in Spain, and Prado CM from the University of Alberta, known for their high citation count. The University of Alberta leads in the number of publications, while the University of Verona in Italy leads in citation frequency. Journals with higher publication volumes in sarcopenic obesity intervention include Nutrients, Clinical Nutrition, and Journal of Cachexia Sarcopenia and Muscle. Among the top 20 keywords, the most relevant interventions for sarcopenic obesity are exercise, nutrition, resistance training, physical activity, and muscle strength. The primary evidence currently available suggests that resistance training is the most effective method for enhancing muscle strength in sarcopenic obesity patients. Additionally, combining protein supplementation with resistance exercise has shown encouraging results in reducing fat mass in these individuals. To progress in this field, it is crucial to foster collaboration among countries, regions, and academic institutions, promoting multidisciplinary partnerships.

The anti-tumor capacity of natural killer (NK) cells heavily relies on their ability to migrate towards their target cells. This process is based on dynamic actinrearrangement, so-called actin treadmilling, andis tightly regulated by proteins such as cofilin-1. The aim of the present study was to identify the role of cofilin-1 (CFL-1) in the migratory behavior of NK cells and to investigate a possible impact of an obesity-associated micromilieu on these cells, as it is known that obesity correlates with various impaired NK cell functions. CFL-1 was knocked-down via transfection of NK-92 cells with respective siRNAs. Obesity associated micromilieu was mimicked by incubation of NK-92 cells with adipocyte-conditioned medium from human preadipocyte SGBS cells or leptin. Effects on CFL-1 levels, the degree of phosphorylation to the inactive pCFL-1 as well as NK-92 cell motility were analyzed. Surprisingly, siRNA-mediated CFL-1 knockdown led to a significant increase of migration, as determined by enhanced velocity and accumulated distance of migration. No effect on CFL-1 nor pCFL-1 expression levels, proportion of phosphorylation and cell migratory behavior could be demonstrated under the influence of an obesity-associated microenvironment. In conclusion, the results indicate a significant effect of a CFL-1 knockdown on NK cell motility.

Pediatric obesity is associated with impaired cognitive function; however, the mechanisms underlying this association demand assessment. Sleep may be a relevant moderator, as poor sleep predicts both increased adiposity and impaired cognitive function.

To determine the effects of adiposity and sleep on adolescent cognitive function.

This single-blind randomized crossover trial was conducted from September 2020 to October 2022. Parents or caregivers provided demographic information for adolescent participants. Body mass index percentile and bioelectrical impedance analysis assessed adiposity. Adolescents completed 2 actigraphy-confirmed sleep conditions, adequate and restricted, followed by in-person cognitive assessment. No additional follow-up was provided. Data collection for this population-based study took place in a behavioral medicine clinic in Birmingham, Alabama. A total of 323 participants were assessed for eligibility (ages 14-19 years and healthy). Of the 244 eligible adolescents, 157 declined participation. Eighty-seven were randomized and 26 dropped out postenrollment. The final sample included 61 adolescents, 31 with healthy weight and 30 with overweight or obesity. Data were analyzed from April to October 2023.

Following a 2-day washout period of adequate sleep, adolescents completed 2 sleep conditions: adequate (mean [SD] duration, 8 hours, 54 minutes [58.0 minutes]) and restricted (mean [SD] duration, 4 hours, 12 minutes [50.7 minutes]).

The National Institutes of Health Cognitive Toolbox assessed global and fluid cognition, cognitive flexibility, working and episodic memory, attention, and processing speed. The Stroop Task assessed inhibition.

The final sample included 61 adolescents (mean [SD] age, 16.3 [1.6] years; 35 [57.4%] female). Restricted sleep predicted poorer global cognition scores (restricted mean [SD], 98.0 [2.8]; adequate mean [SD], 103.2 [2.9]), fluid cognition scores (restricted mean [SD], 94.5 [3.2]; adequate mean [SD], 102.0 [3.6]), and cognitive flexibility scores (restricted mean [SD], 84.8 [3.0]; adequate mean [SD], 92.8 [3.0]) for adolescents with overweight or obesity. No differences emerged for adolescents with healthy weight. Adolescents with overweight or obesity also had poorer attention scores (mean [SD], 80.0 [2.3]) compared to adolescents with healthy weight (mean [SD], 88.4 [SD, 2.3]) following restricted sleep. No differences emerged following adequate sleep. Findings were similar for total body fat percentage (TBF%); however, for adolescents with TBF% above 42, restricted sleep also predicted poorer processing speed, and the association between sleep and attention did not vary based on TBF%.

Adolescents with overweight or obesity may be more vulnerable to negative cognitive effects following sleep restriction. Improved sleep hygiene and duration in this group may positively impact their cognitive health.

ClinicalTrials.gov Identifier: NCT04346433.

Obesity reflects excessive fat deposits. At-risk individuals are guided by healthcare professionals to eat fewer calories and exercise more, often using body mass index (BMI; weight/height2) thresholds for screening and to guide progress and prognosis. By conducting a mini-narrative review of original articles, websites, editorials, commentaries, and guidelines, we sought to place BMI in the context of its appropriate use in population health, clinical screening, and monitoring in clinical care. The review covers studies and publications through 2023, encompassing consensus reviews and relevant literature. Recent consensus reviews suggest that BMI is a valuable tool for population surveys and primary healthcare screening but has limitations in predicting the risk of chronic diseases and assessing excess fat. BMI can guide nutritional and exercise counseling, even if it is inadequate for reliable individual risk prediction. BMI cut-offs must be reconsidered in populations of varying body build, age, and/or ethnicity. Since BMI-diagnosed overweight persons are sometimes physically and physiologically fit by other indicators, persons who are overweight on BMI should be more fully evaluated, diagnosed, and monitored with combined anthropometric and performance metrics to better clarify risks. The use of combined anthropometric and performance metrics involves integrating measurements of body composition with assessments of physical function and fitness to provide a more comprehensive evaluation of an individual's health and fitness status. Eligibility for bariatric surgery or semaglutide satiety/appetite-reduction medications should not be determined by BMI alone. Awareness of the advantages and limitations of using BMI as a tool to assess adult obesity can maximize its appropriate use in the context of population health and in rapid clinical screening and evaluation.

This body image study tests the viability of transferring a complex psychophysical paradigm from a controlled in-person laboratory task to an online environment. 172 female participants made online judgements about their own body size when viewing images of computer-generated female bodies presented in either in front-view or at 45-degrees in a method of adjustment (MOA) paradigm. The results of these judgements were then compared to the results of two laboratory-based studies (with 96 and 40 female participants respectively) to establish three key findings. Firstly, the results show that the accuracy of online and in-lab estimates of body size are comparable, secondly that the same patterns of visual biases in judgements are shown both in-lab and online, and thirdly online data shows the same view-orientation advantage in accuracy in body size judgements as the laboratory studies. Thus, this study suggests that that online sampling potentially represents a rapid and accurate way of collecting reliable complex behavioural and perceptual data from a more diverse range of participants than is normally sampled in laboratory-based studies. It also offers the potential for designing stratified sampling strategies to construct a truly representative sample of a target population.

Higher levels of body mass index (BMI), particularly for those who have obesity defined as class II and III, are correlated with excess risk of all-cause mortality in the USA, and these risks disproportionately affects marginalized communities impacted by systemic racism. Redlining, a form of structural racism, is a practice by which federal agencies and banks disincentivized mortgage investments in predominantly racialized minority neighborhoods, contributing to residential segregation. The extent to which redlining contributes to current-day wealth and health inequities, including obesity, through wealth pathways or limited access to health-promoting resources, remains unclear. Our quasi-experimental study aimed to investigate the generational impacts of redlining on wealth and body mass index (BMI) outcomes.

We leveraged the Panel Study of Income Dynamics (PSID) and Home Owners' Loan Corporation (HOLC) maps to implement a geographical regression discontinuity design, where treatment assignment is randomly based on the boundary location of PSID grandparents in yellowlined vs. redlined areas and used outcome measures of wealth and mean BMI of grandchildren. To estimate our effects, we used a continuity-based approach and applied data-driven procedures to identify the most appropriate bandwidths for a valid estimation and inference.

In our fully adjusted model, grandchildren with grandparents living in redlined areas had lower average household wealth (β =  - $35,419; 95% CIrbc - $37,423, - $7615) and a notably elevated mean BMI (β = 7.47; 95% CIrbc - 4.00, 16.60), when compared to grandchildren whose grandparents resided in yellowlined regions.

Our research supports the idea that redlining, a historical policy rooted in structural racism, is a key factor contributing to disparities in wealth accumulation and, conceivably, body mass index across racial groups.

Obesity, a condition of excess adiposity usually defined by a BMI > 30, can have profound effects on both metabolism and immunity, connecting the condition with a broad range of diseases, including cancer and negative outcomes. Obesity and cancer have been associated with increased incidence, progression, and poorer outcomes of multiple cancer types in part due to the pro-inflammatory state that arises. Surprisingly, obesity has also recently been demonstrated in both preclinical models and clinical outcomes to be associated with improved response to immune checkpoint inhibition (ICI). These observations have laid the foundation for what has been termed the "obesity paradox". The mechanisms underlying these augmented immunotherapy responses are still unclear given the pleiotropic effects obesity exerts on cells and tissues. Other important variables such as age and sex are being examined as further affecting the obesity effect. Sex-linked factors exert significant influences on obesity biology, metabolism as well as differential effects of different immune cell-types. Age can be another confounding factor contributing to the effects on both sex-linked changes, immune status, and obesity. This review aims to revisit the current body of literature describing the immune and metabolic changes mediated by obesity, the role of obesity on cancer immunotherapy, and to highlight questions on how sex-linked differences may influence obesity and immunotherapy outcome.

Evidence links immune system alterations to major psychiatric disorders. The few previous studies on personality traits or personality disorders (PDs) indicate that immunometabolic dysregulation may be prevalent in this population. This study aimed to investigate relationships between personality traits, PDs, and immunometabolic markers in peripheral blood. We hypothesized that neuroticism would be correlated with elevated leptin. Participants were recruited as young adults seeking care for general psychiatric disorders. They responded to a personality inventory and were assessed for PDs, and reevaluated again at a 12 years follow-up. Blood samples were collected at the follow-up and analyzed for 29 immunometabolic markers. A positive correlation was found between the personality trait neuroticism and leptin (ρ = 0.31, p = 0.02). An exploratory analysis also revealed a positive correlation between brain-derived neurotrophic factor (ρ = 0.36, p < 0.01) and neuroticism. These findings remained after adjusting for other variables in general linear models. There were no relationships between PDs and any immunometabolic markers. Results both confirm previous findings of correlations between the immunometabolic system and personality traits and suggest directions for future research.

Ventral hernia (VH) is a common surgical disease. Previous studies suggested that obesity is an important risk factor for VH. However, the causal relationship between fat distribution and the risk of VH is still unclear. This study used Mendelian randomization (MR) to evaluate their causal relationship.

We used the body mass index (BMI), body fat percentage, and body fat mass to represent general obesity and utilized the volume of abdominal subcutaneous adiposity tissue, visceral adiposity tissue, waist circumference, hip circumference, and waist-to-hip ratio to represent abdominal adiposity. The data were extracted from the large-scale genome-wide association study of European ancestry. We used two-sample MR to infer causality, using multivariate MR to correct the effects of confounding factors.

Increased BMI, body fat percentage, body fat mass, visceral adiposity tissue, waist circumference, and hip circumference rather than subcutaneous adiposity tissue or waist-to-hip ratio, were causally associated with a higher risk of VH. The results of multivariate MR suggested that body fat percentage was causally associated with a higher risk of VH after adjusting for body mass index, diabetes, and smoking.

General obesity, increased visceral adiposity tissue, waist circumference, and hip circumference rather than subcutaneous adiposity tissue or the waist-to-hip ratio were causally associated with a higher risk of VH. These findings provided a deeper understanding of the role that the distribution of adiposity plays in the mechanism of VH.

Obesity is known to increase the likelihood of developing abdominal wall hernias, body mass index (BMI) alone does not provide detailed information about the amount and location of body fat. The aim of this study was to investigate the link between various adipose tissue parameters and the incidence of incisional hernias (IHs), as well as the outcomes of hernia repair.

We conducted a comprehensive review of the existing literature to examine the relationship between various body fat parameters and the occurrence of IHs after abdominal surgeries, as well as the outcomes of hernia repair.

Thirteen studies were included for analysis. Eight trials evaluated the IH development after abdominal surgeries via specific fat parameters, and five studies evaluated the postoperative outcomes after IH repair. The findings of this study suggest that an increase in visceral fat volume (VFA or VFV) and subcutaneous fat (SFA or SFV) are linked to a higher incidence of IHs after abdominal surgeries. Higher levels of VFV or VFA were associated with more challenging fascia closure and greater postoperative recurrence rates following repair. Whereas BMI did not demonstrate a significant association.

Measuring visceral and subcutaneous fat composition preoperatively can be a useful tool for assessing the risk of IH, and is more reliable than BMI. Elevated levels of these fat parameters have been linked to increased recurrence of IH following hernia repair, as well as the use of complex surgical techniques during repair.

The study aimed to investigate the factors associated with shoulder stiffness following open reduction and internal fixation (ORIF) of proximal humeral fractures.

The retrospective study included a total of 151 patients who underwent ORIF of proximal humeral fractures between January 2016 and May 2021. Based on their shoulder joint motion at the latest follow-up, the patients were divided into two groups. The stiffness group (n=32; 8 males, 24 females; mean age: 62.4±9.3 years; range, 31 to 79 years), exhibited restricted shoulder forward flexion (<120°), limited arm lateral external rotation (<30°), and reduced back internal rotation below the L3 level. The remaining patients were included in the non-stiffness group (n=119; 52 males, 67 females; mean age: 56.4±13.4 years; range, 18 to 90 years). Various factors were examined to evaluate the association with shoulder stiffness following ORIF of proximal humeral fractures by multivariate unconditional logistic regression models.

The mean follow-up duration was 31.8±12.6 (range, 12 to 68) months. Based on the results of the multivariate regression analysis, it was found that high-energy injuries [compared to low-energy injuries; adjusted odds ratio (aOR)=7.706, 95% confidence interval (CI): 3.564-15.579, p<0.001], a time from injury to surgery longer than one week (compared to a time from injury to surgery equal to or less than one week; aOR=5.275, 95% CI: 1.7321-9.472, p=0.031), and a body mass index (BMI) >24.0 kg/m2 (compared to a BMI between 18.5 and 24.0 kg/m2 ; aOR=4.427, 95% CI: 1.671-11.722, p=0.023) were identified as risk factors for shoulder stiffness following ORIF of proximal humeral fractures.

High-energy injury, time from injury to surgery longer than one week, and BMI >24.0 kg/m2 were identified as independent risk factors for shoulder stiffness after proximal humeral fracture surgery, which should be treated with caution in clinical treatment.

Modern health care faces several serious challenges, including an ageing population and its inherent burden of chronic diseases, rising costs and marginal quality metrics. By assessing and optimizing the health trajectory of each individual using a data-driven personalized approach that reflects their genetics, behaviour and environment, we can start to address these challenges. This assessment includes longitudinal phenome measures, such as the blood proteome and metabolome, gut microbiome composition and function, and lifestyle and behaviour through wearables and questionnaires. Here, we review ongoing large-scale genomics and longitudinal phenomics efforts and the powerful insights they provide into wellness. We describe our vision for the transformation of the current health care from disease-oriented to data-driven, wellness-oriented and personalized population health.

Non-communicable diseases (NCDs), notably cardiovascular disease and type 2 diabetes mellitus, are largely driven by metabolic syndrome (MetS), a cluster of critical risk factors. Despite extensive research, the progression of MetS, especially in Indonesia, has received limited attention. This research tracks adult MetS risk dynamics in a populous Bogor District cohort, providing crucial insights into its evolving nature.

This prospective open cohort study analysed secondary data from the Special Research - Cohort Study of Non-Communicable Diseases by the Ministry of Health, Republic of Indonesia from 2011 to 2018. The final sample was 1,376 Indonesian adult participants, all residents of Bogor District. MetS outcome, dietary assessment, physical activity, and biomarkers were analysed every two consecutive years.

The risk of overweight and obese participants developing MetS was 2.4 and 4.4 times higher, respectively (95% CI: 1.176-3.320 and 3.345-5.740) than those with body mass index (BMI) in the normal range. Participants who reported less intentional physical exercise had a MetS risk 1.5 times higher (95% CI: 1.034-2.109) than those with more intentional physical exercise. The role of diet is also significant, evidenced by a 30% reduction in MetS risk for people with fat intakes in the 2nd quartile compared to the 1st quartile (95% CI: 0.505-0.972). Meanwhile, a carbohydrate intake in the 2nd quartile increased the risk of MetS 1.5 times (95% CI: 1.063-2.241) in comparison with the 1st quartile.

Notably, participants with underweight BMI exhibited the highest cumulative survival of MetS, while those with obese BMI recorded the lowest cumulative survival. There is an urgent need for strategic interventions to enhance the existing early detection and NCD monitoring program. This involves a targeted focus on promoting a community-based healthy lifestyle in the Bogor District. The study emphasizes the importance of tailored public health measures to address specific risk factors identified in the local context, aiming to mitigate the prevalence and impact of MetS in the population.

Interest in understanding the relationship between body composition and cancer survival has remained strong for decades, with a number of recent systematic reviews on the topic. However, the current state of evidence is based on heterogeneous exposure definitions based on anthropometry, yielding inconsistent findings with regard to this association. Recently the field has taken an exciting direction with the application of radiological assessments to measure specific aspects of body composition, yet reconciliation of findings from these modern assessment tools with those from the historic use of anthropometric data proves challenging. In this paper, I briefly review the biological basis for a link between body composition and cancer survival and summarize the epidemiological evidence with consideration to specific exposure measures. As enthusiasm is building around novel assessments, I conclude with a discussion of issues that researchers should be aware of when interpreting results from these new modalities.

Polycystic ovary syndrome (PCOS) has historically been conceptualized as a disorder of the reproductive system in women. However, offspring of women with PCOS begin to show metabolic features of PCOS in childhood, suggestive of childhood manifestations.

To identify childhood manifestations of genetic risk for PCOS.

We calculated a PCOS polygenic risk score (PRS) for 12 350 girls and boys in 4 pediatric cohorts-ALSPAC (UK), COPSAC (Denmark), Project Viva (USA), and The HOLBÆK Study (Denmark). We tested for association of the PRS with PCOS-related phenotypes throughout childhood and with age at pubarche and age at peak height velocity and meta-analyzed effects across cohorts using fixed-effect models.

Higher PRS for PCOS was associated with higher body mass index in midchildhood (0.05 kg/m2 increase per 1 SD of PRS, 95% CI 0.03, 0.07, P = 3 × 10-5) and higher risk of obesity in early childhood (OR 1.34, 95% CI 1.13, 1.59, P = .0009); both persisted through late adolescence (P all ≤.03). Higher PCOS PRS was associated with earlier age at pubarche (0.85-month decrease per 1 SD of PRS, 95% CI -1.44, -0.26, P = .005) and younger age at peak height velocity (0.64-month decrease per 1 SD of PRS, 95% CI -0.94, -0.33, P = 4 × 10-5).

Genetic risk factors for PCOS are associated with alterations in metabolic, growth, and developmental traits in childhood. Thus, PCOS may not simply be a condition that affects women of reproductive age but, rather, a possible manifestation of an underlying condition that affects both sexes starting in early life.