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Background: Neighborhood poverty is associated with adiposity in women, though longitudinal designs, annually collected residential histories, objectively collected anthropometric measures, and geographically diverse samples of midlife women remain limited. Objective: To investigate whether longitudinal exposure to neighborhood concentrated poverty is associated with differences in body mass index (BMI) and waist circumference (WC) among 2,328 midlife women (age 42–52 years at baseline) from 6 U.S. cities enrolled in the Study of Women's Health Across the Nation (SWAN) from 1996 to 2007. Methods: Residential addresses and adiposity measures were collected at approximately annual intervals from the baseline visit through a 10-year follow-up. We used census poverty data and local spatial statistics to identify hot-spots of high concentrated poverty areas and cold-spots of low concentrated poverty located within each SWAN site region, and used linear mixed-effect models to estimate percentage differences (95% confidence interval [CI]) in average BMI and WC levels between neighborhood concentrated poverty categories. Results: After adjusting for individual-level sociodemographics, health-related factors, and residential mobility, compared to residents of moderate concentrated poverty communities, women living in site-specific hot-spots of high concentrated poverty had 1.5% higher (95% CI: 0.6, 2.3) BMI and 1.3% higher (95% CI: 0.5, 2.0) WC levels, whereas women living in cold-spots of low concentrated poverty had 0.7% lower (95% CI: −1.2, −0.1) BMI and 0.3% lower (95% CI: −0.8, 0.2) WC. Site-stratified results remained in largely similar directions to overall estimates, despite wide CIs and small sample sizes. Conclusions: Longitudinal exposure to neighborhood concentrated poverty is associated with slightly higher BMI and WC among women across midlife. [ABSTRACT FROM AUTHOR]

Cardiovascular disease (CVD) risk factors in children have increased in prevalence. Dietary intake may modify risk. Data collected during a randomized trial testing the effect of a behavioral intervention on adiposity, blood pressure (BP), and left ventricular mass index (LVMI) were analyzed using multivariable regression to determine independent associations of sodium, sugar-sweetened beverage (SSB), and artificially sweetened beverage (ASB) intake with outcomes. High sodium intake (≥3.5 g) was associated with hypertensive BP (odds ratio 12.8; P =.027) in minimally adjusted models. High SSB intake (≥4 oz) was independently associated with body mass index z -score (β =.34; P =.035) and waist circumference z -score (β =.49; P =.022) in fully adjusted models. Any ASB intake was associated with LVMI in fully adjusted model (% change 38.22; P =.004). There was no effect modification between sodium and SSB on outcomes. Dietary factors explored in this study independently impacted CVD risk. Further effect measure modification should be explored in larger cohorts. [ABSTRACT FROM AUTHOR]

Objectives Adiposity may have a role in the risk of dementia. Fewer studies have focused on the relationship between change in adiposity and cognitive decline. Our study aimed to explore the association between the change in adiposity and cognitive function in Black and White older adults. Methods The participants were 12,204 older adults without cognitive impairment (62.8 ± 8.0 years) in the United States. The percent body mass index change (%BMI change) and percent waist circumference change (%WC change) were measured at 2 in-home visits (first: 2003–2007, second: 2013–2016). Cognitive status was assessed by the Six-Item Screener annually. Memory and executive function were measured by word list learning, MOCA recall and orientation, and letter and animal fluency every 2 years. Logistic regression or linear regression models were used to estimate the relationship between percent change in adiposity and cognitive function. Results After 12.7 ± 1.7 years, a greater decrease in %BMI change or %WC change was significantly associated with a higher risk of cognitive impairment. Compared to older adults with −5% ≤ change ≤ 5% from baseline, a significantly higher risk of cognitive impairment and greater loss in memory and executive function were found among those who experienced more than a 10% decline in %BMI change or %WC change. Older adults who experienced a 5%–10% decrease in %BMI change had a higher risk of cognitive impairment and greater loss of memory compared to those with −5% ≤ change ≤ 5%. Discussion A greater decrease in %BMI (>5%) and %WC (>10%) change was associated with greater cognitive loss observed over time. [ABSTRACT FROM AUTHOR]

Background: The role of body fat on metabolic complications remains poorly understood in young people living with perinatally acquired HIV (YPHIV). Objective: Our objective was to assess the association of changes in adiposity over 2 years with metabolic outcomes in YPHIV. Methods: The PHACS Adolescent Master Protocol (AMP) study enrolled YPHIV from 2007 to 2009 across 15 US sites, including Puerto Rico. We included YPHIV aged 7–19 years with body composition data assessed by whole‐body dual‐energy X‐ray absorptiometry (DXA) at baseline and 2 years later. Metabolic outcomes included homeostatic model assessment of insulin resistance (HOMA‐IR) and non‐high‐density lipoprotein cholesterol (non‐HDL‐C). We fitted linear regression models to assess the association of increase in body fat over 2 years with metabolic outcomes at years 2 and 3. Results: In all, 232 participants had a second DXA and either HOMA‐IR or non‐HDL‐C measured at year 2. Participant characteristics at the first DXA were: age 12 years (9–14) [median (Q1–Q3)], 69% Black, and median CD4 count 714 cells/μL; 70% with HIV RNA <400 copies/mL. In adjusted analyses for every 1% increase in body fat from baseline to year 2, HOMA‐IR was higher by 1.03‐fold at year 3 (95% CI: 1.00, 1.05). We observed that for every 1% increase in body fat from baseline to year 2, non‐HDL‐C was 0.72 mg/dL higher at year 2 (95% CI: −0.04–1.49) and 0.81 mg/dL higher at year 3 (95% CI: −0.05–1.66). Conclusions: Increases in adiposity over time may lead to downstream decreased insulin sensitivity and dyslipidaemia in YPHIV. [ABSTRACT FROM AUTHOR]

Summary: Background: Leptin resistance occurs with obesity, but it is unknown if individuals at risk for obesity develop leptin resistance prior to obesity. Objective: Investigate whether leptin resistance is independent of weight status in children at risk for obesity due to intrauterine exposure to maternal obesity or gestational diabetes mellitus (GDM). Methods: Mother–child dyads (N = 179) were grouped by maternal pregnancy weight and GDM status: (1) normal weight, no GDM; (2) overweight/obesity, no GDM; (3) overweight/obesity with GDM. Children (4–10 years) were further stratified by current body mass index (BMI) <85th or ≥85th percentile. Leptin resistance of children and mothers was calculated as fasting leptin/fat mass index. Two‐way ANOVA was used to assess whether leptin concentrations and leptin resistance differed by current weight status or in utero exposure group, after adjusting for race, sex and Tanner stage. Results: Children with a BMI ≥85th percentile had more leptin resistance than those with a BMI <85th percentile (p < 0.001), but leptin resistance did not differ by in utero exposure. Similarly, leptin resistance in women was associated with weight status and not prior GDM. Conclusions: Results suggest that leptin concentrations are associated with obesity but not risk for obesity based on in utero exposure to maternal obesity or GDM. [ABSTRACT FROM AUTHOR]

• The next era of PNI will be defined by success in clinical translation. • Causal inference is a methodological field of inquiry that identifies techniques to maximize causal relevance. • Causal inference approaches can improve the replicability and clinical translation of PNI. • Results suggest controlling for adiposity/BMI decreases precision of immune → psychopathology estimates. Psychoneuroimmunology and immunopsychiatry are quickly approaching a critical point where the clinical translatability of their evidence base will be tested. To maximize chances for translational success, we believe researchers must adopt causal inference techniques that augment the causal relevance of estimates given theorized causal structures. To illustrate the utility of incorporating causal inference perspectives into psychoneuroimmunology, we applied directed acyclic graphs and a combination of empirical and simulated data to demonstrate the consequences of controlling for adiposity when testing the association between inflammation and depression under the plausible causal structure of increases in adipose tissue leading to greater inflammation that in turn promotes depression. Effect size estimates were pulled from a dataset combining the Midlife in the United States 2 (MIDUS-2) and MIDUS Refresher datasets. Data were extracted and used to simulate data reflecting an adiposity → inflammation → depression causal structure. Next, a Monte Carlo simulation study with 1,000 iterations and three sample size scenarios (N s = 100, 250, and 500) was conducted testing whether controlling for adiposity when estimating the relation between inflammation and depression influenced the precision of this estimate. Across all simulation scenarios, controlling for adiposity reduced precision of the inflammation → depression estimate, suggesting that researchers primarily interested in quantifying inflammation → depression associations should not control for adiposity. This work thus underscores the importance of incorporating causal inference approaches into psychoneuroimmunological research. [ABSTRACT FROM AUTHOR]

Summary: Background: Gestational weight gain (GWG) and anthropometric trajectories may affect foetal programming and are potentially modifiable. Objectives: To assess concomitant patterns of change in weight, circumferences and adiposity across gestation as an integrated prenatal exposure, and determine how they relate to neonatal body composition. Methods: Data are from a prospective cohort of singleton pregnancies (n = 2182) enrolled in United States perinatal centres, 2009–2013. Overall and by prepregnancy BMI group (overweight/obesity and healthy weight), joint latent trajectory models were fit with prenatal weight, mid‐upper arm circumference (MUAC), triceps (TSF) and subscapular (SSF) skinfolds. Differences in neonatal body composition by trajectory class were assessed via weighted least squares. Results: Six trajectory patterns reflecting co‐occurring changes in weight and MUAC, SSF and TSF across pregnancy were identified overall and by body mass index (BMI) group. Among people with a healthy weight BMI, some differences were observed for neonatal subcutaneous adipose tissue, and among individuals with overweight/obesity some differences in neonatal lean mass were found. Neonatal adiposity measures were higher among infants born to individuals with prepregnancy overweight/obesity. Conclusions: Six integrated trajectory patterns of prenatal weight, subcutaneous adipose tissue and circumferences were observed that were minimally associated with neonatal body composition, suggesting a stronger influence of prepregnancy BMI. [ABSTRACT FROM AUTHOR]

Objectives: To characterize the health behaviors and outcomes of first-year international students (FYIS) studying in the U.S. Participants and methods: Three different cohorts of FYIS from a large midwestern university in the U.S. completed three laboratory visits between August and March. The study began in 2017 and ended in March 2020. Anthropometrics, acculturative stress, eating behaviors, sleep, physical activity, and eating habits were assessed. Results: Fifty-four students completed the study. Females had a significant increase in percent body fat (p =.036) and a decrease in sleep quality (p =.006) at the final visit vs. baseline, and uncontrolled (p =.006) and emotional (p <.001) eating behaviors were higher. FYIS who gained more than the median 1.2 kg over the study period experienced higher acculturative stress (p =.004) and a decline in sleep quality (p =.003). Conclusion: Reducing acculturative stress and improving sleep quality should be explored as interventions to protect against undesirable changes in adiposity among FYIS. [ABSTRACT FROM AUTHOR]

Aims: The purpose of this study was to find out the relation between visceral adipose index (VAI) levels and stress urinary incontinence (SUI) in adult women., Methods: From the National Health and Nutrition Examination Survey (NHANES) 2007-2020, females aged 20 or above were identified for this study. Visceral adiposity was determined using the VAI score, and the assessment of urinary incontinence was carried out through a correlation questionnaire. Logistic regression models and restricted cubic spline (RCS) regression were employed to analyze the relationship between VAI levels and SUI., Results: Among the 6522 participants, 2672 (41.0%) were reported SUI. Multivariate logistic regression revealed significantly higher odds of SUI with increasing VAI levels (Q4 vs. Q1), adjusted odds ratio (aOR) = 1.53 (CI: 1.29-1.81, p < 0.001). RCS regression indicated a curvilinear relationship between VAI and SUI (p = 0.003). In threshold analysis, aOR for developing SUI was 1.18 (CI: 1.11-1.26, p < 0.001) for participants with VAI < 4.73, suggesting an 18% increased risk of SUI with each unit increase in VAI. No association between VAI and SUI was observed when VAI was ≥4.73., Conclusions: Our study has revealed a significant curvilinear relationship between VAI and SUI within a large and representative sample of women. Future research is necessary to evaluate the relationship between the two and explicate the underlying mechanisms of this relationship., (© 2024 Wiley Periodicals LLC.)

Background: The presence of hypertension significantly increases the risk of diabetes, particularly type 2 diabetes. Recently, Visceral Adiposity Index (VAI) has been introduced as a straightforward and robust alternative indicator for early detection of metabolic syndrome, cardiovascular disease, and T2DM. Visceral adiposity, more dangerous than subcutaneous fat, is associated with metabolic syndrome and cardiovascular diseases. The VAI and Lipid Accumulation Product (LAP) are indices that quantify visceral fat and lipid overaccumulation, respectively. This study aims to explore the association between VAI, LAP, and type 2 diabetes mellitus (T2DM) in US adults with hypertension using NHANES data from 2005 to 2018., Methods: We analyzed data from 5,620 participants with hypertension in The National Health and Nutrition Examination Survey (NHANES). VAI and LAP were calculated using established formulas. The VAI is calculated based on a combination of waist circumference, body mass index (BMI), triglycerides, and high-density lipoprotein (HDL) cholesterol levels. Logistic regression models were applied to evaluate the association between these indices and T2DM, adjusting for potential confounders. Subgroup analyses by age and gender were also conducted to assess variations in risk., Results: In all, 5,620 participants were enrolled in our analysis, with 2,754 (49%) being female, and a mean (standard deviation, SD) age of 57 (15) years. The mean (SD) cumulative average VAI and LAP among all participants was 241 (2.71) and 75 (67), respectively. Totally, higher VAI and LAP indices were significantly associated with an increased risk of T2DM in individuals with hypertension. For VAI, the odds ratios (OR) for T2DM were higher in older adults (≥ 60 years) [95% confidence interval (CI): 1.37, 1.22-1.53, per 1 SD increase] and females [95% confidence interval (CI): 1.39, 1.27-1.52, per 1 SD increase], indicating age and gender differences in risk. Non-linear relationships were observed, suggesting thresholds beyond which the risk of T2DM escalates dramatically., Conclusions: Both VAI and LAP are reliable markers for assessing T2DM risk in individuals with hypertension. Incorporating these indices into clinical practice could enhance the identification of high-risk individuals and facilitate early intervention strategies. Future longitudinal studies are needed to confirm these associations and explore targeted interventions., (© 2024. The Author(s).)

Background: The lipid accumulation product (LAP) and the visceral adiposity index (VAI) are suggested as dependable measures for assessing visceral fat levels. Prediabetes is recognized as a condition that precedes the potential onset of diabetes. The objective of this research is to investigate how VAI and LAP are related to prediabetes among the adult population in the United States., Methods: Information from the 2007-2020 National Health and Nutrition Examination Survey (NHANES) was scrutinized in a cross-sectional study. To evaluate the connection between VAI or LAP and the presence of prediabetes, both univariate analysis and multivariate logistic regression were utilized. Threshold effect analysis and fitted smoothing curves were used to delve into the non-linear association between VAI or LAP and prediabetes. Additional analyses were performed on specific subgroups, along with tests to explore potential interactions., Results: In general, 12,564 American adults were included. After full adjustment, prediabetes with VAI (OR: 1.128, 95% CI: 1.073-1.185) or LAP (OR: 1.006, 95% CI: 1.004-1.008) showed a positive correlation. Individuals in the 4th VAI quartile group faced a significant 61.9% elevated risk for prediabetes (OR: 1.619, 95% CI: 1.354-1.937) when contrasted to those in the 1st VAI quartile. Participants in the 4th LAP quartile group had a significant 116.4% elevated risk for prediabetes (OR: 2.164, 95% CI: 1.747-2.681) when contrasted to individuals of the 1st LAP quartile. Smooth curve fitting analysis revealed a nonlinear correlation of VAI or LAP and prediabetes, and threshold effect analysis was used to determine an inflection point of 4.090 for VAI and 68.168 for LAP., Conclusions: The values of VAI and LAP are positively associated with the prevalence of prediabetes. The VAI and LAP indices may be used as predictors of prediabetes., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Qiu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Obesity correlates with accelerated aging. This study aims to investigate the association between the visceral adiposity index (VAI) and accelerated aging., Methods: Biological aging was evaluated by phenotypic age acceleration (PhenoAgeAccel). Utilizing data from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2010, we employed weighted multivariable logistic regression models, along with subgroup analysis, to examine the association between VAI and PhenoAgeAccel. Moreover, smooth curve fitting was utilized to identify potential nonlinear association, complemented by a two-piece linear regression model to investigate threshold effects., Results: Of the included 11,340 participants aged 20 years and older, the mean (95% CI) age was 46.569 (45.946, 47.191) years, and 49.189% were male. The mean (95% CI) VAI for all participants was 2.176 (2.114, 2.238), and the mean (95% CI) PhenoAgeAccel was -6.306 (-6.618, -5.994) years. In the fully adjusted model, each incremental unit increase of VAI was associated with a 0.312-year increase in PhenoAgeAccel (β = 0.312, 95% CI: 0.217, 0.408). This positive association was more statistically significant among individuals with cancer. Furthermore, a segmented association was observed between VAI and PhenoAgeAccel, with a turning point identified at 10.543. Below this threshold, VAI exhibited a positive correlation with PhenoAgeAccel (β = 0.617, 95% CI: 0.499, 0.735), while beyond it, the association became nonsignificant., Conclusion: This study demonstrated a positive association between VAI and accelerated aging within a nationally representative population. The findings suggest that controlling adiposity may exert anti-aging effects and help prevent aging-related diseases., (Copyright © 2024 The Authors. Published by Elsevier Masson SAS.. All rights reserved.)

Background and Aims: Fecal incontinence (FI) is highly prevalent with substantial impacts on quality of life and health care utilization. The impact of obesity on FI remains unclear, with differing conclusions using body mass index (BMI) as a risk factor. We aimed to determine the association between obesity and FI, and whether this relationship is dependent on the distribution of adiposity (waist circumference-to-height ratio [WHtR])., Methods: This was a population-based analysis of the National Health and Nutrition Examination Survey, including participants who responded to the bowel health survey in 2005 to 2010. FI was defined by the accidental bowel leakage of solid stool, liquid, or mucus at least once in the past month. Stepwise multivariable logistic regression models were constructed to assess risk factors for FI., Results: A total of 7606 participants were included, with an overall FI prevalence of 9.2%. When stratified by quartiles of body measurements, FI was increasingly prevalent from the 1st to the 4th quartile for both WHtR (range, 5.3%-12.5%) and BMI (range, 7.1%-10.5%). WHtR was associated with FI and was a stronger predictor than BMI in all quartiles of body measurement. On multivariable analysis, WHtR remained a significant predictor of FI comparing the 4th with the 1st quartile of body measurements (odds ratio [OR], 1.77; 95% confidence interval [CI], 1.11-2.80; P = .017), whereas BMI was not. A WHtR cutoff of >0.592 optimized the Youden index in prediction of FI in the overall sample., Conclusion: WHtR was independently associated with increased odds of FI in this nationally representative sample of United States adults, whereas BMI was not consistently correlated. This suggests bowel continence may depend more on how body mass is distributed., (Copyright © 2024 AGA Institute. Published by Elsevier Inc. All rights reserved.)

Summary: Background: The association between body mass index (BMI) and adiposity differs by race/ethnicity. Objective: To examine differences in adiposity by race/Hispanic origin among US youth and explore how those differences relate to differences in BMI using the most recent national data, including non‐Hispanic Asian youth. Methods: Weight, height and DXA‐derived fat mass index (FMI) and percentage body fat (%BF) from 6923 youth 8–19 years in the National Health and Nutrition Examination Survey (NHANES) 2011–2018 were examined. Age‐adjusted mean BMI, FMI and %BF were reported. Sex‐specific linear regression models predicting %BF and FMI were adjusted for age, BMI category and BMI category*race/Hispanic origin interaction. Results: %BF was highest among Hispanic males (28.2%) and females (35.7%). %BF was lower among non‐Hispanic Black (23.9%) compared with non‐Hispanic White (26.0%) and non‐Hispanic Asian (26.6%) males. There was no difference between non‐Hispanic Black females (32.7%) and non‐Hispanic White (33.2%) or non‐Hispanic Asian (32.7%) females. FMI was higher among Hispanic youth compared with non‐Hispanic White youth. Among youth with underweight/healthy weight, predicted %BF and FMI were lower among non‐Hispanic Black males (−2.8%; −0.5) and females (−2.0%; −0.3), compared with non‐Hispanic White youth, and higher among Hispanic males (0.9%; 0.2) and females (2.0%; 0.5), while %BF but not FMI was higher among non‐Hispanic Asian males (1.3%) and females (1.4%). Among females with obesity, non‐Hispanic Asian females had lower %BF (−2.3%) and FMI (−1.7) than non‐Hispanic White females. Conclusions: Differences in %BF and FMI by race/Hispanic origin were not consistent by BMI category among US youth in 2011–2018. [ABSTRACT FROM AUTHOR]

Background Visualizations of the emerging obesity epidemic, such as with serial US color prevalence maps, provide graphic images that extend informative public health messages beyond those in written communications. Advances in low-cost 3D optical technology now allow for development of large image databases that include participants varying in race/ethnicity, body mass, height, age, and circumferences. When combined with contemporary statistical methods, these data sets can be used to create humanoid avatar images with prespecified anthropometric features. Objectives The current study aimed to develop a humanoid avatar series with characteristics of representative US adults extending over the past 6 decades. Methods 3D optical scans were conducted on a demographically diverse sample of 570 healthy adults. Image data were converted to principal components and manifold regression equations were then developed with body mass, height, age, and waist circumference as covariates. Humanoid avatars were generated for representative adults with these 4 characteristics as reported in CDC surveys beginning in 1960–1962 up to 2015–2018. Results There was a curvilinear increase in adult US population body mass, waist circumference, and BMI in males and females across the 9 surveys spanning 6 decades. A small increase in average adult population age was present between 1960 and 2018; height changes were inconsistent. A series of 4 avatars developed at ∼20-y intervals for representative males and females reveal the changes in body size and shape consistent with the emergence of the obesity epidemic. An additional series of developed avatars portray the shapes and sizes of males and females at key BMI cutoffs. Conclusions New mathematical approaches and accessible 3D optical technology combined with increasingly available large and diverse data sets across the life span now make unique visualization of body size and shape possible on a previously unattainable scale. This study is registered at https://clinicaltrials.gov/ct2/show/NCT03637855 as NCT03637855. [ABSTRACT FROM AUTHOR]

Background: The objective of this investigation was to explore the correlation between the visceral adiposity index (VAI) and depression, and to analyze how type 2 diabetes mellitus (T2DM) may influence this relationship., Methods: This study included data of 12,378 participants sourced from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Utilizing multivariate logistic regression and restricted cubic spline (RCS) regression, we examined the correlation between VAI and depression. Additionally, we investigated the interactive and mediating effects of T2DM on the association between VAI and depression., Results: Controlling for all potential confounders, the Ln logarithmic transformation of VAI showed a significant positive correlation with depression [odds ratio (OR) = 1.16, 95 % confidence interval (CI): 1.01-1.35, P = 0.041]. T2DM exhibited a notable interaction effect on the relationship connecting lnVAI and depression (P for interaction = 0.013). Specifically, the T2DM group exhibited a notable positive correlation between lnVAI and depression (OR = 1.46, 95 % CI: 1.17-1.82, P < 0.001), whereas such correlation didn't reach statistical significance within the non-T2DM group. The RCS model revealed a J-shaped nonlinear link between lnVAI and depression, with an inflection point value of 0.052. Mediation analysis indicated that diabetes accounted for 8.0 % of the correlation between lnVAI and depression. Furthermore, sensitivity analysis confirmed the consistency of these findings., Conclusions: A J-shaped nonlinear dose-response relationship was observed between lnVAI and depression among American adults, with a threshold of 0.052. T2DM not only served as a mediator between the two variables but also modified their association., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

To investigate the association between the visceral adiposity index (VAI) and asthma using data from National Health and Nutrition Examination Survey 2003 to 2018 by a cross-sectional study. We explored the potential relationship between the VAI and asthma incidence via a cross-sectional study of the National Health and Nutrition Examination Survey from 2003 to 2018. Multiple logistic regression analysis, restricted cubic spline analysis and subgroup analysis were performed. Among the 80,312 participants, 1984 had been told by a doctor or other health professional, and 1142 still had asthma. With all confounders controlled, the VAI was positively associated with asthma incidence (odds ratios 1.04, 95% confidence interval: 1.01, 1.08). When comparing the second, third, and fourth VAI quartiles to the lowest quartile, the adjusted odds ratios (95% confidence intervals) for asthma risk were 1.02 (0.86, 1.21), 1.14 (0.96, 1.36), and 1.18 (1, 1.39), respectively (P for trend = .02). Subgroup analysis revealed no significant interaction effect among the subgroups (P > .05). The positive association was stronger in current asthma patients (odds ratios 1.13, 95% confidence interval: 1.03, 1.24). When comparing the second, third, and fourth VAI quartiles to the lowest quartile, the adjusted odds ratios for current asthma risk were 1.15 (0.81, 1.64), 1.29 (0.91, 1.84), and 1.51 (1.01, 2.24), respectively (P for trend .04). The restricted cubic spline regression analysis did not reveal a nonlinear correlation between the VAI and asthma or current asthma. Subgroup analysis revealed a significant interaction effect between age (P for interaction = .03) and diabetes status (P for interaction = .02). Except in the age ≥60 years, Less than high school, normal body mass index subgroup, VAI, and current asthma were positively correlated. A positive relationship between the VAI and asthma incidence was observed. In particular, there was a strong positive correlation between the VAI score and current asthma. According to the subgroup analysis, more attention should be given to individuals aged 40 to 59 years who have diabetes., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Visceral adiposity index (VAI) is a reliable indicator of visceral adiposity. However, no stu-dies have evaluated the association between VAI and DKD in US adults with diabetes. Theref-ore, this study aimed to explore the relationship between them and whether VAI is a good pr-edictor of DKD in US adults with diabetes. Our cross-sectional study included 2508 participan-ts with diabetes who were eligible for the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. Univariate and multivariate logistic regression were used to an-alyze the association between VAI level and DKD. Three models were used to control for pot-ential confounding factors, and subgroup analysis was performed for further verification. A tot-al of 2508 diabetic patients were enrolled, of whom 945 (37.68%) were diagnosed with DKD. Overall, the VAI was 3.36 ± 0.18 in the DKD group and 2.76 ± 0.11 in the control group. VAI was positively correlated with DKD (OR = 1.050, 95% CI 1.049, 1.050) after fully adjusting for co-nfounding factors. Compared with participants in the lowest tertile of VAI, participants in the highest tertile of VAI had a significantly increased risk of DKD by 35.9% (OR = 1.359, 95% CI 1.355, 1.362). Through subgroup analysis, we found that VAI was positively correlated with the occurrence of DKD in all age subgroups, male(OR = 1.043, 95% CI 1.010, 1.080), participants wit-hout cardiovascular disease(OR = 1.038, 95% CI 1.011, 1.069), hypertension (OR = 1.054, 95% CI 1.021, 1.090), unmarried participants (OR = 1.153, 95% CI 1.036, 1.294), PIR < 1.30(OR = 1.049, 95% CI 1.010, 1.094), PIR ≧ 3 (OR = 1.085, 95% CI 1.021, 1.160), BMI ≧ 30 kg/m 2 (OR = 1.050, 95% CI 1.016, 1.091), former smokers (OR = 1.060, 95% CI 1.011, 1.117), never exercised (OR = 1.033, 95% CI 1.004, 1.067), non-Hispanic white population (OR = 1.055, 95% CI 1.010, 1.106) and non-Hipanic black population (OR = 1.129, 95% CI 1.033, 1.258). Our results suggest that elevated VAI levels are closely associated with the development of DKD in diabetic patients. VAI may be a simpl-e and cost-effective index to predict the occurrence of DKD. This needs to be verified in furt-her prospective investigations., (© 2024. The Author(s).)

Introduction: This study explored the association between psoriasis and the weight-adjusted waist index (WWI), a newly developed measure of adiposity. The research was conducted among adults in the United States., Methods: Utilizing survey data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2009 to 2014, the present study aimed to investigate the potential correlation between psoriasis and WWI within a sample of 15,920 adult participants. Employing multivariable logistic regression and nonlinear curve fitting techniques, we analyzed this plausible association. Additionally, a subgroup analysis was conducted to ascertain the consistency across diverse populations., Results: A significant positive association was discovered between psoriasis and WWI in the investigated sample of 15,920 adults. After conducting a comprehensive adjustment of the model, it was observed that each incremental unit of WWI was significantly associated with an 14% elevated likelihood of developing psoriasis (OR = 1.16, 95% CI 1.01-1.36). Moreover, individuals belonging to the highest quartile of WWI exhibited a 47% higher risk of psoriasis compared to those in the lowest quartile (OR = 1.44, 95% CI 1.01-2.06). This positive correlation remained consistent across various subgroups. The study also compared WWI with BMI and waist circumference, finding that WWI is a more stable metric of obesity., Conclusions: Our study suggested that in US adults, there is a positive association between WWI and psoriasis. It also indicated that WWI showed potential as a valuable index of psoriasis among the general population., Competing Interests: Declaration of Competing Interest We would like to declare that all authors have no conflicts of interest in relation to this research., (Copyright © 2024. Published by Elsevier Inc.)

Objective: Current literature reveals an association between anthropometric measures of adiposity (AnthM) and age-related macular degeneration (AMD), but few have explored the disease association with imaging methods. This study aimed to explore the relationship between AMD status and dual-energy X-ray absorptiometry measures (DEXAMs) among a representative sample of the US population, and compare the association with AnthM., Method: Using a representative sample in the National Health and Nutrition Examination Study 2005-2006 (n=1632), DEXAMs across the whole body and waist (ie, android), and relative fat distributions (eg, percentage fat, android-to-total body ratio) were analysed between no AMD (baseline) and any AMD. Bivariate analyses across AMD status were similarly performed for AnthM (ie, body mass index, waist circumference and skinfold thicknesses) and potential confounders (ie, demographics and health-related variables). Significant adiposity measures were analysed using logistic regression, adjusting for confounders., Results: The participants in the sample were aged 40-69 years, were majority female (52%) and mainly Caucasian (76.5%). Bivariate analysis revealed having any AMD had positive significant associations with android-to-total fat ratio and subscapular skinfold thickness (SSFT). Other AnthM and DEXAMs were not significant. After adjusting age, gender and prescription of cholesterol-lowering medicine, only SSFT remained significantly associated., Conclusion: SSFT represents an independent risk factor for AMD presence compared with other AnthM and DEXAMs. SSFT is an established method of measuring fat under the skin (ie, subcutaneous fat). Hence, subcutaneous fat may be more relevant in explaining the adiposity-AMD link due to physiological properties specific to the tissue. Limitations include the restricted age range and low numbers of participants with late AMD., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)

Relationships between the visceral adiposity index (VAI) and type 2 diabetes mellitus (T2DM) have been underexplored. The purpose of this study is to explore association between VAI and T2DM in adults in the US. Based on the National Health and Nutrition Examination Survey 2007-2018, 11,214 participants aged 20 years or older were included in a cross-sectional study. Multifactorial logistic regression analysis and smoothed curve fitting analysis were performed to investigate links between VAI and the prevalence of T2DM, as well as the stability and incidence between subgroups. In a fully adjusted continuous model, the aggregate population risk of T2DM increased 0.43-fold with each 1-unit increase in VAI [odds ratio (OR) = 1.43; 95% confidence interval (CI) 1.35-1.50]. In the fully adjusted categorical model with VAI scores stratified by quartiles, results showed a higher T2DM advantage among participants in the second, third, and fourth quartiles (Q2: OR 1.35, 95% CI 1.06-1.71; Q3: OR 2.46, 95% CI 1.95-3.11; Q4: OR 4.42, 95% CI 3.55-05.50). Compared with Q1, the prevalence of T2DM in the total population increased 3.42-fold in Q4. The above results indicated that VAI was positively associated with the prevalence of T2DM, which was consistent and nonlinear with the smoothed curve-fitting analysis (P for non-linear = 0). Subgroup analyses after adjusting for covariates showed that keeping with the overall population results, it also was found that there was an interaction between sex and hypertension in the subgroups. VAI was positively associated with the prevalence of T2DM and was more prevalent in women, non-hypertensive than in men, hypertensive populations., (© 2024. The Author(s).)

Objective: We aimed to assess the associations between sleep duration and Visceral Adiposity Index (VAI)., Design: Cross-sectional study., Setting: The National Health and Nutrition Examination Survey (2007-2018)., Participants: A total 11 252 eligible participants who have complete information for sleep duration and VAI., Outcome Measure: The VAI index, which is sex-specific and takes into consideration factors such as waist circumference, body mass index, high-density lipoprotein cholesterol and triglycerides, was calculated in accordance with prior research. Multiple linear regressions and subgroup analyses were employed to evaluate the connection between the duration of sleep and the VAI., Results: The mean sleep duration and VAI of included participants were 7.05 hours/day and 2.03, respectively. After adjusting for the sociodemographic, lifestyle and other covariates, short sleep was significantly linked to increased VAI (β=0.15, 95% CI 0.01 to 0.28) in relation to middle sleep duration, whereas no significant association was found between long sleep duration and VAI. An L-shaped relationship was observed between sleep duration and VAI. When sleep duration was less than 7.5 hours/day, a negative association between sleep duration and VAI was obvious. However, when sleep duration was >7.5 hours/day, VAI was increased with a longer sleep duration, although it was not significant., Conclusions: An L-shaped relationship was observed between sleep duration and VAI, with insufficient sleep, being independently linked to a higher VAI. This implies that sleep deprivation might be associated with visceral adipose distribution and disfunction., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background and Aim: Long-term associations between the alternative healthy eating index (AHEI) score and two predictive indicators for CVD, pericardial adipose tissue (PAT) and coronary artery calcification (CAC) volume, are lacking. Our study aims to investigate the longitudinal associations of the AHEI score with measures of CAC and PAT in adults with and without type 1 diabetes (T1D)., Methods and Results: The prospective Coronary Artery Calcification in T1D (CACTI) study included 652 people with T1D and 764 people without diabetes (non-DM) (19-56 years old) and was conducted in 2000-2002, 2003-2004, and 2006-2007. At each visit, food frequency questionnaires were collected and PAT and CAC were measured using electron beam computed tomography. Two variables were used for CAC analyses: a continuous variable for the square-root tranformed volume (SRV) for each visit and a second variable identified CAC progression from baseline to visit 3. Mixed effect models and a logistic regression model were used to conduct statistical analyses. A one-point increase in the AHEI score was significantly associated with a -0.12 cm 3 (95% CI: -0.17, -0.08; p-value<0.0001) decrease in PAT volume in combined analyses, a -0.16 cm 3 (95% CI: -0.22, -0.09; p-value<0.0001) decrease in the non-DM group, a marginally significant -0.07 cm 3 (95% CI: -0.14, 0.002; p-value = 0.0571) decrease in the T1D group, and was not associated with either CAC outcome., Conclusion: The AHEI score is inversely associated with PAT; the association revealed greater magnitude of PAT reduction in the non-DM group. The AHEI score did not associate with CAC progression., Competing Interests: Declaration of competing interest The authors declare no conflict of interest., (Copyright © 2024 The Italian Diabetes Society, the Italian Society for the Study of Atherosclerosis, the Italian Society of Human Nutrition and the Department of Clinical Medicine and Surgery, Federico II University. Published by Elsevier B.V. All rights reserved.)

Background and Aims: Hepatic steatosis is known to be heritable, but its genetic basis is mostly uncharacterized. Steatosis is associated with metabolic and adiposity features; recent studies hypothesize that shared genetic effects between these traits could account for some of the unexplained heritability. This study aimed to quantify these genetic associations in a family-based sample of non-Hispanic white adults., Methods and Results: 704 participants (18-95 years, 55.8% female) from the Fels Longitudinal Study with an MRI assessment of liver fat were included. Quantitative genetic analyses estimated the age- and sex-adjusted heritability of individual traits and the genetic correlations within trait pairs. Mean liver fat was 5.95% (SE = 0.23) and steatosis (liver fat >5.56%) was present in 29.8% of participants. Heritability (h 2 ± SE) of steatosis was 0.72 ± 0.17 (p = 6.80e -6 ). All other traits including liver enzymes, fasting glucose, HOMA-IR, visceral and subcutaneous adipose tissue (VAT, SAT), body mass index, body fat percent, waist circumference, lipids and blood pressure were also heritable. Significant genetic correlations were found between liver fat and all traits except aspartate aminotransferase (AST), and among most trait pairs. Highest genetic correlations were between liver fat and HOMA-IR (0.85 ± 0.08, p = 1.73e -8 ), fasting glucose and ALT (0.89 ± 0.26, p = 6.68e -5 ), and HOMA-IR with: waist circumference (0.81 ± 0.12, p = 3.76e -6 ), body fat percent (0.78 ± 0.12 p = 2.42e -5 ) and VAT (0.73 ± 0.07, p = 6.37e -8 )., Conclusions: Common genes may exist between liver fat accumulation, metabolic features and adiposity phenotypes., Competing Interests: Declaration of competing interest The authors declare that they have no conflicts of interest concerning this article., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Over the years, obesity has become more commonplace and has had a substantial impact on several medical specialties, including reproductive medicine. The potential correlation between the visceral adiposity index (VAI) and infertility has yet to be determined. Women between the ages of 18 and 45 were included in this cross-sectional study, which was conducted as part of the National Health and Nutrition Examination Survey (NHANES) between 2015 and 2020. Three tertiles were used to group VAI levels. Subgroup analysis and weighted binary logistic regression were employed to investigate the independent relationship between VAI and infertility. Smooth curve fitting was used to explore nonlinear relationships. This cross-sectional study followed the criteria of the STROBE guidelines. Of the 1231 participants, 127 were infertile women aged 18-45 years. A higher VAI was associated with a higher prevalence of infertility (OR = 1.22, 95% CI:1.03-1.45), which remained consistent across all subgroups (p > 0.05 for all interactions). We demonstrated a positive nonlinear association between VAI and infertility using a smooth curve fit. A higher visceral adiposity index level is positively correlated with a higher incidence of infertility among women in the United States. Women who are infertile can be identified using the visceral obesity index, and controlling visceral obesity may help lower the chances of becoming infertile., (© 2024. The Author(s).)

Background: Evidence on the association between visceral lipid accumulation and infertility remains limited and controversial. Therefore, the current investigation is the first investigation to unveil this correlation by utilizing novel indicators of visceral lipid accumulation., Methods: The present study utilized the NHANES 2013-2020 dataset. Researchers utilized multiple logistic regression, smoothed curve fitting, and subgroup analysis to investigate the associations of waist circumference (WC), metabolic score for visceral fat (METS-VF), lipid accumulation product (LAP), visceral adiposity index (VAI) with infertility. Additionally, the eXtreme Gradient Boosting (XGBoost) algorithm model was utilized to evaluate the relative importance of the factors., Results: After adjusting for potential factors that could influence the results, researchers discovered that all these four indicators of visceral lipid accumulation exhibited strong positive correlations with the probability of infertility. The subgroup analysis demonstrated that the correlations remained consistent in the majority of subgroups (P for interaction > 0.05). The results of XGBoost algorithm model indicate that METS-VF is the most meaningful factor in infertility. The ROC curve research revealed that while METS-VF had the greatest AUC values, there was no variation in the AUC value of different markers of visceral fat accumulation (P > 0.05)., Conclusions: The present investigation discovered that increased WC, METS-VF, LAP, and VAI were associated with a heightened prevalence of infertility., (© 2024. The Author(s).)

Background Data from the NHANES indicate that BMI has increased in some subgroups of children and adolescents in the United States over the past 20 y; however, BMI is an indirect measure of body fatness. Objectives We assessed changes in DXA-derived measures of adiposity in a nationally representative population of US children and adolescents aged 8–19 y from 1999–2006 to 2011–2018. Methods Using data from the NHANES, we compared the means and distributions of DXA-derived percentage body fat (%BF) and fat mass index (FMI; fat mass/height2 in kg/m2) between 1999–2006 (n  = 10,231) and 2011–2018 (n  = 6923) among males and females by age group, race and Hispanic origin, and BMI categories. Estimates were standardized by age and race and Hispanic origin. Results From 1999–2006 to 2011–2018, mean %BF increased from 25.6% to 26.3% (change in %BF: 0.7%; 95% CI: 0.2%, 1.2%; P  < 0.01) among all males, whereas mean %BF increased from 33.0% to 33.7% (change in %BF: 0.7%; 95% CI: 0.2%, 1.2%; P  = 0.01) and mean FMI increased from 7.7 to 8.0 fat mass kg/m2 (change in FMI: 0.3 fat mass kg/m2; 95% CI: 0.0, 0.6 fat mass kg/m2; P  = 0.02) among all females. Changes were not consistent across all age, race and Hispanic origin, and BMI categories. Both %BF and FMI increased among Mexican-American children and adolescents, but not other race and Hispanic origin groups. Conclusions Among US children and adolescents, DXA-derived measures of adiposity increased from 1999–2006 to 2011–2018, albeit not consistently in every age, race and Hispanic origin, and BMI subgroup. These data reinforce the need to consider other measures, besides BMI categories, when studying adiposity in children and adolescents. [ABSTRACT FROM AUTHOR]

We explored the role of lipid accumulation products and visceral adiposity on the association between red meat consumption (RMC) and markers of insulin resistance (IR) and inflammation in USA adults. Data on RMC and health outcome measurements were extracted from the 2005–2010 US National Health and Nutrition Examination Surveys. Overall 16 621 participants were included in the analysis (mean age = 47·1 years, 48·3 % men). ANCOVA and 'conceptus causal mediation' models were applied while accounting for survey design. In adjusted models, a lower RMC was significantly associated with a cardio-protective profile of IR and inflammation. BMI had significant mediation effects on the association between RMC and C-reactive protein (CRP), apo B, fasting blood glucose (FBG), insulin, homoeostatic model assessment of IR and β-cell function, glycated Hb (HbA1c), TAG:HDL ratio and TAG glucose (TyG) index (all Ps < 0·05). Both waist circumference and anthropometrically predicted visceral adipose tissue mediated the association between RMC and CRP, FBG, HbA1c, TAG:HDL ratio and TyG index (all Ps < 0·05). Our findings suggest that adiposity, particularly the accumulation of abdominal fat, accounts for a significant proportion of the associations between red meat consumption, IR and inflammation. [ABSTRACT FROM AUTHOR]

Summary: Background: Increased visceral adipose tissue (VAT) precedes development of insulin resistance and dyslipidemia in adults. The associations of abdominal adiposity derived from dual‐energy X‐ray absorptiometry (DXA), including VAT, subcutaneous abdominal adipose tissue (SAAT) and total abdominal adipose tissue (TAAT) with cardio‐metabolic risk in adolescents are understudied. Objectives: We examined the cross‐sectional associations of DXA‐measured abdominal adiposity with cardio‐metabolic risk and related markers in early adolescence (mean [SD] age 13.0 [0.7] years). Methods: We collected data from 740 adolescents (374 girls and 366 boys) in Project Viva, a U.S. pre‐birth cohort. We used DXA estimates of VAT, SAAT and TAAT area. We conducted overall and sex‐stratified linear regression models, adjusting for age, sex (in overall models), race/ethnicity, puberty score and body mass index (BMI) z‐score. Results: Mean BMI z‐score was 0.59 (1.28). After adjustment, greater VAT (per 1 SD score) was associated with higher metabolic risk z‐score (β 0.14 units; 95% CI 0.08, 0.20), higher log high‐sensitivity C‐reactive protein (β 0.51 mg/L; 0.36, 0.66) and log leptin (β 0.36 ng/mL; 0.27, 0.44), and lower log adiponectin (β −0.08 ug/mL; −0.13, −0.02). SAAT and TAAT showed similar associations as VAT with comparable or greater effect sizes. Conclusion: In early adolescence, DXA‐measured VAT, SAAT and TAAT are associated with cardio‐metabolic risk and related markers, independent of current BMI. Among two adolescents with the same BMI, there is an associated higher cardio‐metabolic risk in the adolescent with greater DXA‐measured abdominal adiposity. [ABSTRACT FROM AUTHOR]

Objective: To investigate the association between the visceral adiposity index and the prevalence of diabetes and prediabetes in the US adult population., Method: We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018 for ten consecutive years, including 18745 eligible participants. The weighted multivariate logistic model and fitting curve were used to explore the correlation and dose-response relationship between visceral adiposity index (VAI) and diabetes (DM) and prediabetes in the general population and the prevalence of different subgroups., Results: In the fully adjusted continuous model, the risk of diabetes and prediabetes in the general population increased 0.15 times [1.15 (1.10,1.20), p<0.0001] with every increase of 1 unit of VAI. In the fully adjusted classification model, with the lowest quartile array Q1 of VAI as the reference group, Q2 of the second Quantile group, Q3 of the third Quantile group, and Q4 of the Quartile group increased 0.26 times [1.26 (1.10,1.44), p<0.001], 0.65 times [1.65 (1.43,1.89), p<0.0001], 1.60 times [2.60 (2.28,2.97), p<0.0001] respectively with the risk of diabetes and prediabetes. The above results showed that VAI was positively associated with the prevalence of diabetes and prediabetes, and the fitted curves showed a non-linear trend. (P for non-linear = 0<0.05). The results of the subgroup population were consistent with the total population and a significant interaction was found in gender (P for interaction<0.0001)., Conclusion: In conclusion, we found a non-linear positive association between VAI and the risk of diabetes and prediabetes in the US adult population and found that women have a higher risk of diabetes and prediabetes than men; therefore, we should focus on the female population, and we call for the use of VAI to manage the development of diabetes and prediabetes in the clinical setting., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Zheng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Background: Coffee is among the most popular daily beverages in the United States. Importantly, coffee consumption has been associated with a lower risk of multiple health outcomes including a reduction in adiposity. DXA is a means to assess body fat and distribution.Objectives: The aim of this study was to examine the relation between coffee consumption and DXA-assessed adiposity and adiposity distribution.Methods: Cross-sectional data from the NHANES were used. Participants were adults aged 20-69 y from the 2003-2004 and 2005-2006 waves. Information on coffee consumption was assessed through the FFQ (categorized as no coffee, 0 to <0.25 cup/d, 0.25 to <1 cup/d, 1 cup/d, 2-3 cups/d, or ≥4 cups/d). Both caffeinated and decaffeinated coffee consumption were included. Trunk fat and total fat percentage were measured via whole-body DXA scans. The association between coffee consumption and body fat was investigated using age-adjusted and multivariable-adjusted linear regression models which accounted for sample weights.Results: Higher coffee consumption was associated with significantly lower total body fat percentage and trunk body fat percentage in a dose-response manner (all P values < 0.05) among women. Although this dose-response relation was nonsignificant among men, men aged 20-44 y who drank 2-3 cups/d had 1.3% (95% CI: -2.7%, 0.1%) less total fat and 1.8% (95% CI: -3.3%, -0.4%) less trunk fat than those who did not consume coffee. Furthermore, the association between coffee consumption and body fat percentage exhibited for both caffeinated and decaffeinated coffee among women (all P for trend < 0.001) but not among men (all P for trend > 0.05).Conclusions: The present study found a significant association between higher coffee consumption and lower DXA-measured adiposity. Moreover, a gender difference in this association in the general US adult population was also observed. [ABSTRACT FROM AUTHOR]

Background: Diagnosis and treatment for individuals with brain tumors during childhood involves sequelae, including abnormal weight gain. This symptom is commonly clustered with fatigue and increased risk for cardiovascular disease. Children's Oncology Group recommendations include annual surveillance of body mass index (BMI) and cardiometabolic comorbidities; however, there has been little emphasis on individualized screening early in survivorship. Purpose: The primary purpose of this paper is to describe the findings of abnormal weight gain and its correlates in a sample of young childhood brain tumor survivors during early survivorship. Design and Methods: This cross‐sectional multi‐site study included brain tumor survivors of ages 8–12 years who were less than 6 years posttreatment. Convenience sampling from two pediatric cancer centers in the southern United States was utilized. Data collected included BMI, parent report of sleep, and child report of fatigue and stress. Results: The sample (N = 21) consisted of children who had received chemotherapy, radiation treatment, and surgery for childhood brain tumor. BMI in overweight and obese categories exceeded normative samples with 38% at or above the 85th percentile. There were clinically significant relationships with fatigue, stress about weight, tumor location, cranial radiation, chemotherapy, and recurrence Practice Implications: Screening for abnormal weight gain and related factors, such as fatigue should begin early in survivorship after childhood brain tumor treatment completion with the aim of health promotion and disease prevention. Adiposity measurement techniques should be utilized in future clinical and research settings to improve assessment of cardiometabolic risk. [ABSTRACT FROM AUTHOR]

Objective: Little is known about the relationship between adiposity and telomere length in the United States population. The objective of our research was to examine this relationship in a representative, socioeconomically and sex-specific, diverse racial/ethnic population in the United States.Methods: Body mass index (BMI), % total body fat (TBF) and waist circumference (WC) with leukocyte telomere length (LTL) were examined according to sex-specific race/ethnicity using separate adjusted multivariate linear regressions on a sample of 4,919 respondents aged 20-84 years from the National Health and Nutrition Examination Survey's 1999-2002 data.Results: LTL was shortened .41%, .44%, and .16% in African American (AA) women and was associated with increasing BMI, %TBF, and WC, (β:-.0041, 95%CI: -.0070, -.0012; P=.007; β:-.0044, 95% CI: -.0081, -.0007; P=.02; β:-.0016, 95%CI: -.0031, -.0001; P=.04, respectively). LTL was shortened .29% in White women and was associated with increasing %TBF (β:-.0029, 95%CI: -.0048, -.0009; P=.006). There were no associations among AA men, White men or Mexican American men and women.Conclusions: LTL is associated with an obesity phenotype in AA women. Tailored intervention is needed to ameliorate the burden of excess adiposity and subsequent cellular aging. [ABSTRACT FROM AUTHOR]

Background: Rising global obesity rates are linked with inflammation and associated morbidities. These negative outcomes are generally more common in low-resource communities within high-income countries; however, it is unclear how frequent infectious disease exposures in these settings may influence the relationship between adiposity and inflammation., Aim: We test associations between adiposity measures and distinct forms of inflammation among adults ( n  = 80) living in low-resource U.S. communities experiencing high levels of obesity and pathogen exposure., Subjects and Methods: Adiposity measures included BMI and percent body fat. Inflammation measures included systemic inflammation (C-reactive protein [CRP]) and localised intestinal inflammation (faecal calprotectin [FC]). The relationship between a condition characterised by elevated inflammation ( Helicobacter pylori infection) and adiposity was also considered., Results: Adiposity was not significantly related to FC concentration. However, both adiposity measures were positively related with odds of CRP elevation and H. pylori infection was associated with significantly lower adiposity measures (all p  < 0.05)., Conclusion: For this disadvantaged U.S. sample, the association between adiposity and inflammation varies by the systemic/localised nature of inflammation and the likely underlying cause of inflammation. Defining these associations will improve understanding of how rising obesity rates shape long-term health inequities, with implications for more effective intervention design.

Background: Limited research exists on the relationship between food insecurity and children's adiposity and diet and how it varies by demographic characteristics in the United States.Objective: The aim of this study was to assess the relationship between household food insecurity and child adiposity-related outcomes, measured as BMI (kg/m2) z score (BMI-z), weight status, and waist circumference, and diet outcomes, and examined if the associations differ by age, sex, and race/ethnicity.Methods: Data collected in 2013-2015 from 5138 US schoolchildren ages 4-15 y from 130 communities in the cross-sectional Healthy Communities Study were analyzed. Household food insecurity was self-reported using a validated 2-item screener. Dietary intake was assessed using the 26-item National Cancer Institute's Dietary Screener Questionnaire, and dietary behaviors were assessed using a household survey. Data were analyzed using multilevel statistical models, including tests for interaction by age, sex, and race/ethnicity.Results: Children from food-insecure households had higher BMI-z (β: 0.14; 95% CI: 0.06, 0.21), waist circumference (β: 0.91 cm; 95% CI: 0.18, 1.63), odds of being overweight or obese (OR: 1.17; 95% CI: 1.02, 1.34), consumed more sugar from sugar-sweetened beverages (β: 1.44 g/d; 95% CI: 0.35, 2.54), and less frequently ate breakfast (β: -0.28 d/wk; 95% CI: -0.39, -0.17) and dinner with family (β: -0.22 d/wk; 95% CI: -0.37, -0.06) compared to children from food-secure households. When examined by age groups (4-9 and 10-15 y), significant relationships were observed only for older children. There were no significant interactions by sex or race/ethnicity.Conclusions: Household food insecurity was associated with higher child adiposity-related outcomes and several nutrition behaviors, particularly among older children, 10-15 y old. [ABSTRACT FROM AUTHOR]

Objectives: To describe the associations of income and race with obesogenic behaviors and % body fat among a large sample of U.S. children and adolescents. Design: Data were obtained from the 2003–2004 and 2005–2006 National Health and Nutritional Examination Survey. Multiple linear regression models and interactions were used to examine the associations of moderate-to-vigorous physical activity (MVPA), sedentary time, diet quality, and screen-time with income-to-poverty ratio and race. Separate stratified analyses explored associations among individual obesogenic behaviors within race and income groups. Results: This study included children and adolescents (n = 3551, mean = 13.1 years, SD = 3.9 years) who were 37% Hispanic, 27% White, and 35% Black. Overall, Hispanic children/adolescents had significantly higher levels of adiposity (3.6, 95 CI = 0.9, 6.3) than white children and adolescents. Medium-income children and adolescents engaged in less MVPA (− 3.3 min, 95 CI = − 5.1, − 1.5), had poorer diet quality (− 1.1, 95 CI = − 1.9, − 0.2), and used screens less (− 33.9 min, 95 CI = − 45.4, − 22.4) than children and adolescents from low-income households. High-income children and adolescents also engaged in less MVPA (− 3.1 min, 95 CI = − 5.5, − 0.7) and used screens less (− 62.9 min, 95 CI = − 78.3, − 47.4) than children and adolescents from low-income households. However, there were significant race/ethnicity-by-income interactions for high-income Hispanic children and adolescents with diet quality (− 3.5 HEI-2010 score, 95 CI = − 6.6, − 0.4) and screen time (66.9 min, 95 CI = 24.7, 109.0). There was also a significant race/ethnicity-by-income interaction for the screen-time of Black children and adolescents from medium (33.8 min, 95% CI 0.2, 67.3) and high (75.8 min, 95% CI 34.7, 117.0) income households. Conclusions: There appears to be a complex relationship that varies by race/ethnicity between income, obesogenic behaviors, and adiposity levels among children and adolescents. More work is needed to identify the behavioral mechanisms that are driving disparate rates of overweight and obesity among minority children and those from low-income households. [ABSTRACT FROM AUTHOR]

• Physical abuse and neglect are associated with elevated adult CRP and fibrinogen. • Emotional neglect and psychological abuse are not associated with CRP or fibrinogen. • Associations are inconsistent for socioeconomic disadvantage, and sexual abuse (by race). • Adult adiposity is a likely intermediary between adversity and adult inflammation. • For specific adversities weight loss/obesity prevention may offset inflammatory states. In two cohorts, we aimed to establish associations between early-life adversities and adult inflammation, and whether adult (a) adiposity or (b) socioeconomic disadvantage are key intermediaries. In both cohorts (N = 7661, 1958 British birth cohort; N = 1255, MIDUS), information was used on adult inflammatory markers (C-reactive protein (CRP), fibrinogen and (MIDUS only) interleukin-6 (IL-6)), adiposity and socioeconomic disadvantage, and early-life adversities (neglect, emotional neglect, physical, psychological, sexual abuse and childhood disadvantage). Early-life adversities varied from 1.6% (sexual abuse, 1958 cohort) to 14.3% (socioeconomic disadvantage, MIDUS). Across the two cohorts, associations were consistent for physical abuse, e.g. 16.3%(3.01,29.7) and 17.0%(−16.4,50.3) higher CRP in the 1958 cohort and MIDUS respectively. Associations attenuated after accounting for adult adiposity, e.g. physical abuse (1958 cohort) and sexual abuse (MIDUS, non-white participants) associations were abolished. Some associations attenuated after adjustment for adult socioeconomic disadvantage; e.g. 1958 cohort neglect–CRP associations reduced from 23.2%(13.7,32.6) to 17.7%(8.18,27.2). Across the cohorts, no associations were found for psychological abuse or emotional neglect; associations for childhood socioeconomic disadvantage were inconsistent. Specific early-life adversities are associated with adult inflammation; adiposity is a likely intermediary factor. Weight reduction and obesity prevention may offset pro-inflammatory related adult disease among those who experienced early-life adversities. [ABSTRACT FROM AUTHOR]

Summary: Objective: Rank the importance of potentially modifiable psychosocial, dietary and environmental risk and protective factors for female adolescent obesity in order to target and inform public health prevention efforts. Utilizing the largest dataset available that captures the onset of the adolescent obesity surge in the USA, the study provides a more robust understanding of paediatric obesity risk factors. Methods: Data were obtained from an observational, longitudinal study conducted between 1989 and 2001, the NHLBI Growth and Health Study. This study includes girls aged 9–19 years from three urban US locations, with Black and White girls generally represented equally. Data were analysed using multiple regression, random forest and propensity score matching to determine the strongest adiposity risk and protective factors during ages 9–12 predicting adiposity at age 19 with multiple methods to maximize the ability to identify possible public health interventions. Multiple linear regression and random forest analysis identified the strongest associations among 288 risk and protective factors selected from the study's literature review. For the 190 factors associated with follow‐up adiposity from the data, propensity score matching was used to control for confounding of these factors. Results: Findings suggest that highest priority interventional targets across the domains surveyed are lowering specific nutrients; eating meals with others or during activities without skipping; parents fixing evening snacks; improving perceptions of non‐extremes as the healthy weight; improving self‐worth, physical activity and social competence; and limiting any negative impact of dieting relatives. Similar associations were observed for Black and White girls. Conclusion: The clinical implications of these findings allow health practitioners to target behavioural change efforts and address social and environmental factors that have demonstrated higher prioritization value for early obesity interventional efforts for adolescents. [ABSTRACT FROM AUTHOR]

Background: Both excessive sodium intake and obesity are risk factors for hypertension and cardiovascular disease. The association between sodium intake and obesity is unclear, with few studies assessing sodium intake using 24-h urine collection. Objectives: Our objective was to assess the association between usual 24-h sodium excretion and measures of adiposity among US adults. Methods: Cross-sectional data were analyzed from a sample of 730 nonpregnant participants aged 20–69 y who provided up to 2 complete 24-h urine specimens in the NHANES 2014 and had data on overweight or obesity [body mass index (kg/m²) ≥25] and central adiposity [waist circumference (WC): >88 cm for women, >102 cm for men]. Measurement error models were used to estimate usual sodium excretion, and multiple linear and logistic regression models were used to assess its associations with measures of adiposity, adjusting for sociodemographic, health, and dietary variables [i.e., energy intake or sugar-sweetened beverage (SSB) intake]. All analyses accounted for the complex survey sample design. Results: Unadjusted mean ± SE usual sodium excretion was 3727 ± 43.5 mg/d and 3145 ± 55.0 mg/d among participants with and without overweight/obesity and 3653 ± 58.1 mg/d and 3443 ± 35.3 mg/d among participants with or without central adiposity, respectively. A 1000-mg/d higher sodium excretion was significantly associated with 3.8-units higher BMI (95% CI: 2.8, 4.8) and a 9.2-cm greater WC (95% CI: 6.9, 11.5 cm) adjusted for covariates. Compared with participants in the lowest quartile of sodium excretion, the adjusted prevalence ratios in the highest quartile were 1.93 (95% CI: 1.69, 2.20) for overweight/obesity and 2.07 (95% CI: 1.74, 2.46) for central adiposity. The associations also were significant when adjusting for SSBs, instead of energy, in models. Conclusions: Higher usual sodium excretion is associated with overweight/obesity and central adiposity among US adults [ABSTRACT FROM AUTHOR]

Intrauterine exposure to maternal overweight/obesity or diabetes transmits risks to offspring, perpetuating a disease cycle across generations. Prenatal interventions to reduce maternal weight or dysglycemia have limited impact, while postpartum interventions can alter the intrauterine environment only if child-bearing continues. Efficacious preconception interventions are needed, especially for underserved populations, and with the potential to be scaled up sustainably. Research is also needed to assess intervention effects at conception, throughout pregnancy, and among offspring. This two-arm, parallel randomized clinical trial will include 360 biological females with overweight/obesity and moderate-to-high likelihood of pregnancy within 24 months. Participants will be randomized 1:1 to a yearlong pre-conception lifestyle intervention based on the National Diabetes Prevention Program (NDPP-NextGen) or usual care. Data collection will occur at enrollment (before conception), post-conception (<8 weeks gestation), late pregnancy (28–32 weeks gestation), and delivery (before discharge) for participants who become pregnant within 24 months of enrollment. Main outcomes are post-conception body mass index (<8 weeks gestation; primary outcome), post-conception fasting glucose (<8 weeks gestation; secondary outcome), and neonatal adiposity (<2 days post-birth). Additional clinical, behavioral, perinatal and offspring data will be collected, and biospecimens (blood, urine, stool, cord blood) will be banked for future ancillary studies. This clinical trial will evaluate an intervention model (NDPP-NextGen) with potential to improve maternal health among the >50% of US females with overweight/obesity or diabetes risks in pregnancy. If successful, it can be scaled among >1800 organizations delivering NDPP in the United States to benefit the health of future generations. [ABSTRACT FROM AUTHOR]

Background: Body mass index has been traditionally used to determine the nutritional status of children in studies on obesity and caries. Imaging methods provide a superior assessment of body fat. This study investigated the relationship between measures of adiposity and caries in permanent teeth in children and adolescents., Methods: The analysis included 5,694 participants in the National Health and Nutrition Examination Survey from 2011 through 2018, aged 8 through 19 years. The body fat percentage (BF%) and fat mass index (FMI) were determined from whole-body dual-energy x-ray absorptiometry scans. Excess adiposity was defined as a sex- and age-specific value at or above the 75th percentile according to the US reference standards for BF% or FMI. Caries was measured with the decayed teeth and decayed, missing, and filled teeth indexes; prevalence of untreated dentin caries; and lifetime caries prevalence. The associations between adiposity and caries were tested in confounding variables-adjusted regression models., Results: The FMI score was associated with the decayed, missing, and filled teeth score (rate ratio, 1.03; 95% CI, 1.01 to 1.05) and lifetime caries prevalence (odds ratio, 1.06; 95% CI, 1.03 to 1.08), but the associations attenuated after adjustment for confounding variables. Neither the BF% score nor the presence of excess adiposity, defined according to the BF% or FMI reference standards, were associated with caries., Conclusion: The authors found no association between measures of adiposity and caries among US children and adolescents., Practical Implications: Caries is a multifactorial disease, and any observed association between obesity and caries is most likely due to the shared determinants and risk factors of both conditions., (Copyright © 2023 American Dental Association. Published by Elsevier Inc. All rights reserved.)

Objective: The goal of this research was to determine whether or not there is a saturation effect and whether or not the visceral adiposity index (VAI) correlates with bone mineral density (BMD) in adult Americans., Methods: This study used multivariate logistic regression models to examine the association between VAI and total femur BMD, drawing on the most up-to-date data from the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018. Saturation levels and non-linear connections were calculated using a smooth curve-fitting algorithm and an investigation of saturation effects. Subgroup analyses and interaction tests were also conducted., Results: This study ultimately recruited 6257 individuals aged 20 years or older. According to multivariate regression analysis, those with high VAI scores exhibited higher total femur BMD. Total femur BMD was greater in the highest VAI quartile (Q4: 0.060 g/cm 2 ) after adjustment than in the lowest VAI quartile (Q1) (P < 0.05). After controlling for variables, subgroup analysis failed to reveal any significant interaction effects. Furthermore, the study determined that VAI and BMD exhibited a specific saturation effect through the investigation of the saturation effect and the fitting of smooth curves. Saturation effect investigation of total femur BMD using VAI revealed a saturation value of 3.3., Conclusion: The present study uncovered a non-linear relationship between VAI and total femur BMD, which exhibited a saturation effect., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Background: Time spent on screens and adiposity change rapidly from childhood to adolescence, with differences by gender and race/ethnicity., Objective: Apply time-varying effect models (TVEMs) to a nationally representative sample of youth to identify the age ranges when the cross-sectional associations between television viewing, computer use, and adiposity are significant., Methods: Data from 8 to 15-year-olds (n = 3593) from the National Health and Nutrition Examination Survey (2011-2018) were extracted. TVEMs estimated the associations between television viewing, computer use, and fat mass index as dynamic functions of the participants' age, stratified by gender and race/ethnicity., Results: TVEMs revealed age-specific statistically significant associations that differed by gender and race/ethnicity. Notably, computer use was related to higher adiposity in non-Hispanic White females aged 9.3-11.4 years (slope β-range: 0.1-0.2) and in non-Hispanic Black females older than 14.8 years (β-range: 0.1-0.5). In males, these age windows were 13.5-15.0 years (non-Hispanic White, β-range: 0.1-0.2), 11.4-13.0 years (non-Hispanic Black, β-range: 0.1-0.14), and older than 13.0 years (Hispanic, β-range: 0.1-0.4)., Conclusions: More research during the specific age ranges in the demographic subgroups identified here could increase our understanding of tailored interventions in youth., (© 2023 World Obesity Federation. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Background: Emerging experimental studies suggest that parabens could affect metabolism by altering the microbiome or signaling pathways involved in adipocyte differentiation. While human exposure to parabens is widespread, epidemiologic studies assessing the role of these chemicals on adiposity measures are scarce.Objective: We examined associations of parabens with adiposity measures among adults and children in the U.S. general population.Methods: We conducted covariate-adjusted linear and logistic regression models to examine associations between urinary biomarker concentrations of four parabens (butyl-BP, ethyl-EP, methyl-MP, and propyl paraben-PP) and measures of adiposity (obesity; body mass index, BMI or BMI z-score; and waist circumference) among 4730 adults (2007-2014) and 1324 children (2007-2012), participating in the National Health and Nutrition Examination Survey. We also assessed heterogeneity of associations by gender.Results: We generally observed significant inverse associations between adiposity measures and paraben biomarker concentrations among adults (BP, EP, MP, PP) and children (MP). For example, adjusted prevalence odds ratios (95% confidence intervals, CI) for obesity per a ten-fold increase in MP concentrations were 0.64 (95% CI: 0.55, 0.73) for adults and 0.71(95% CI: 0.52, 0.95) for children. Strength of inverse associations typically increased monotonically with increasing paraben exposure quartiles; and, in general, inverse associations were more pronounced among females. Associations remained when controlling for other phenolic compounds previously linked with adiposity measures.Conclusions: In this cross-sectional study of adiposity measures and parabens, we observed consistent inverse associations in a representative sample of U.S adults and children. Further studies are warranted to confirm our findings, examine the potential role of paraben sequestration in adipose tissue, and elucidate mechanisms by which parabens could alter metabolism. [ABSTRACT FROM AUTHOR]

Summary Background and Methods Obesity is a highly heterogeneous condition, and the link between adiposity distribution profiles and skeletal health is not well understood. This study examined the association between adiposity and bone mineral density (BMD) in a large cohort (5268 individuals) of US adults aged 20–85 years. Results Body mass index (BMI) and moderate-to-vigorous physical activity were positively associated with BMD. Conversely, abdominal adiposity was negatively associated with BMD, even after adjusting for age, race, BMI, and objectively-measured physical activity. Conclusions These findings highlight the negative influence of abdominal adiposity on BMD and contradict the notion that excess fat mass is protective for bone health. [ABSTRACT FROM AUTHOR]

Using data from the Multi-Ethnic Study of Atherosclerosis (MESA), we evaluated associations of neighborhood crime and safety with changes in adiposity (body mass index (BMI) and waist circumference). MESA is a longitudinal study of cardiovascular disease among adults aged 45-84 years at baseline in 2000-2002, from 6 US sites, with follow-up for MESA participants until 2012. Data for this study were limited to Chicago, Illinois, participants in the MESA Neighborhood Ancillary Study, for whom police-recorded crime data were available, and who had complete baseline data (n = 673). We estimated associations of individual-level safety, aggregated neighborhood-level safety, and police-recorded crime with baseline levels and trajectories of BMI and waist circumference over time using linear mixed modeling with random effects. We also estimated how changes in these factors related to changes in BMI and waist circumference using econometric fixed-effects models. At baseline, greater individual-level safety was associated with more adiposity. Increasing individual- and neighborhood-level safety over time were associated with decreasing BMI over the 10-year period, with a more pronounced effect observed in women for individual-level safety and men for neighborhood-level safety. Police-recorded crime was not associated with adiposity. Neighborhood-level safety likely influences adiposity change and subsequent cardiovascular risk in multiethnic populations. [ABSTRACT FROM AUTHOR]

The Power of Programming conference 2016 at Ludwig-Maximilians-Universität Munich brought together about 600 researchers and other stakeholders from around the world who reviewed the recent evidence on the lasting health impact of environment and nutrition during early life, from pre-pregnancy to early childhood. The conference was hosted by the Early Nutrition Project, a multidisciplinary research collaboration funded by the European Commission with collaborating researchers from 35 institutions in 15 countries in Europe, the United States and Australia. The project explores the early origins of obesity, adiposity and associated non-communicable diseases, underlying mechanisms and opportunities for prevention. The project also proactively supports translational application of research findings. In fact, some existing evidence has already been rapidly adopted into policy, regulatory standards and practice. Further, broad dissemination of findings is achieved through the established digital eLearning platform of the Early Nutrition eAcademy, video clip-based learning and graphically supported messaging to consumers. The project demonstrated powerful effects of early metabolic programming on later health. Compared to other common prevention strategies, modifying risk trajectories in early life can achieve a much larger risk reduction and be more cost-effective. While some effective prevention strategies have been promptly implemented in policy and guidelines, legislation and practice, in other areas, the uptake is limited by a paucity of quality human intervention trials and insufficient evaluation of the feasibility of implementation and econometric impact. This needs to be strengthened by future collaborative research work. [ABSTRACT FROM AUTHOR]

Objective Telomere length has been proposed as a biomarker of biological aging. This study examined the relationship between body weight status and telomere length in U.S. middle-aged and older adults. Methods Nationally representative data ( N = 2749) came from the Health and Retirement Study. Linear regressions were performed to examine the relationship between baseline body weight status reported in 1992 and telomere length measured in 2008 in the overall sample and by sex and racial/ethnic groups, adjusted for individual characteristics. Results Baseline overweight (25 kg/m 2 ≤ body mass index [BMI] < 30 kg/m 2 ) and obesity (BMI ≥ 30 kg/m 2 ) status positively predicted telomere length 17 years later. Compared with their normal weight counterparts, telomere length ratio was on average 0.062 (95% confidence interval = 0.016, 0.109) and 0.125 (0.048, 0.202) larger among overweight and obese adults, respectively. In comparison to women and racial/ethnic minorities, the estimated positive associations between overweight and obesity status and telomere length were more salient among men and non-Hispanic whites, respectively. Conclusions The positive association between body weight status and telomere length found in this study was opposite to what existing biological model predicts, and could partially relate to the nonlinear relationship between body weight status and telomere length across age cohorts, and/or the lack of reliability of BMI as an indicator for adiposity in the older population. Large-scale longitudinal studies with baseline telomere length measures are warranted to replicate this study finding and explore the potential heterogeneous relationship between body weight status and telomere length. [ABSTRACT FROM AUTHOR]

Objectives: The body mass index (BMI) largely underestimates excess body fat, suggesting that the prevalence of obesity could be underestimated. Biologically, women are known to have higher body fat than men. This study aimed to compare the temporal trends in general obesity by sex, ethnicity and age among adults in the USA using the relative fat mass (RFM), a validated surrogate for whole-body fat percentage and BMI., Design: Population-based study., Setting: US National Health and Nutrition Examination Survey, from 1999-2000 to 2017-March 2020., Participants: A representative sample of adults 20-79 years in the USA., Main Outcome Measures: Age-adjusted prevalence of general obesity. RFM-defined obesity was diagnosed using validated cut-offs to predict all-cause mortality: RFM≥40% for women and ≥30% for men. BMI-defined obesity was diagnosed using a cut-off of 30 kg/m 2 ., Results: Analysis included data from 47 667 adults. Among women, RFM-defined obesity prevalence was 64.7% (95% CI 62.1% to 67.3%) in 2017-2020, a linear increase of 13.9 percentage points (95% CI 9.0% to 18.9%; p<0.001) relative to 1999-2000. In contrast, the prevalence of BMI-defined obesity was 42.2% (95% CI 39.4% to 45.0%) in 2017-2020. Among men, the corresponding RFM-defined obesity prevalence was 45.8% (95% CI 42.0% to 49.7%), a linear increase of 12.0 percentage points (95% CI 6.6% to 17.3%; p<0.001). In contrast, the prevalence of BMI-defined obesity was 42.0 (95% CI 37.8% to 46.3%). The highest prevalence of RFM-defined obesity across years was observed in older adults (60-79 years) and Mexican Americans, in women and men. Conversely, the highest prevalence of BMI-defined obesity across years was observed in middle-age (40-59 years) and older adults, and in African American women., Conclusions: The use of a surrogate for whole-body fat percentage revealed a much higher prevalence of general obesity in the USA from 1999 to 2020, particularly among women, than that estimated using BMI, and detected a disproportionate higher prevalence of general obesity in older adults and Mexican Americans., Competing Interests: Competing interests: OOW is the lead author of the original article describing the development and validation of RFM. OOW currently works as an editor for The Lancet group., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

We used an established mediation analysis to investigate the role of adiposity in the relation between serum 25(OH)D with markers of inflammation and glucose and insulin metabolism. We used data from National Health and Nutrition Examination Survey (2005-2010), to evaluate the associations between serum 25(OH)D and markers of insulin resistance (IR) or inflammation, and whether these associations are mediated by adiposity factors. Analysis of co-variance and conceptual causal mediation analysis were conducted taking into consideration the survey design and sample weights. BMI was found to have significant mediation effects (to varied extent) on the associations between serum 25(OH)D and CRP, apo-B, fasting glucose, insulin, HOMA-IR, HOMA-B and HbA1c (all P < 0·05). Both WC and apVAT were also found to partly mediate the associations between serum 25 25(OH)D with CRP, FBG, HbA1c, TAG and HDL-cholesterol (all P < 0·05). These findings support the importance of optimising 25(OH)D status in conditions with abnormal adiposity (i.e. obesity) and treatments for the prevention of cardiometabolic diseases affecting adipose tissue metabolism (i.e. weight loss).