Obesity最新文献

{"title":"Uncovering covariance patterns across energy balance traits enables the discovery of new obesity-related genes","authors":"Davorka Gulisija,&nbsp;Agustin Gonzalez-Reymundez,&nbsp;Jenifer I. Fenton,&nbsp;Gustavo de los Campos,&nbsp;Molly S. Bray,&nbsp;Ana I. Vazquez","doi":"10.1002/oby.24291","DOIUrl":"10.1002/oby.24291","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Effective solutions to obesity remain elusive, partly owing to its root in a positive energy balance (EB), which stems from the interplay of numerous traits spanning body size and composition, diet, physical activity, and metabolic profile. Nevertheless, EB-contributing traits are typically studied in isolation. We integrate numerous EB-related traits measured in the UK Biobank to uncover the underlying patterns of EB and associated genes in study participants.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used sparse factor analysis to integrate traits and performed genome-wide association analyses on the integrated phenotypes to elucidate EB-related genes and metabolic pathways. We performed pleiotropy analyses on candidate single-nucleotide polymorphisms to uncover the genetic basis of EB.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We identified multiple genes and genomic regions associated with EB, including many that have previously not been directly associated with obesity measures (e.g., <i>MIR5591</i>, <i>FNDC3B</i>, <i>ANAPC10</i>, <i>SULT1A1</i>, <i>AXIN1</i>, <i>SKIDA1</i>, <i>ERLIN1</i>, <i>DOCK7</i>), which we validated using an independent subset of the UK Biobank dataset along with data from the Atherosclerosis Risk in Communities cohort. We found that the covariances in EB traits are primarily driven by genome-wide pleiotropic associations.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>We offer new insight into EB patterns and the genetic basis of EB.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 6","pages":"1184-1194"},"PeriodicalIF":4.2,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24291","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144145397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lifestyle behavioral weight-loss treatment for binge-eating disorder in patients with obesity: where's the harm?","authors":"Sydney Yurkow,&nbsp;Valentina Ivezaj,&nbsp;Carlos M. Grilo","doi":"10.1002/oby.24289","DOIUrl":"10.1002/oby.24289","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Although recent rigorous trials have demonstrated effectiveness of behaviorally based weight-loss treatment (BBWLT) for binge-eating disorder (BED) with coexisting obesity, concerns have been raised that such interventions are contraindicated because they might trigger or exacerbate eating disorder (ED) psychopathology. This secondary analysis of a BBWLT trial examined heterogeneity of outcomes to identify the frequency that individuals experienced increased symptoms.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>One hundred ninety-one participants with BED and obesity in a 6-month BBWLT trial were assessed for binge eating, ED psychopathology, and weight at baseline, at posttreatment, and at a 12-month follow-up after treatment (i.e., 18 months after baseline). Changes were examined at the individual level to identify cases of any increased features.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>At posttreatment, 95.3% (<i>n</i> = 162) of participants reported decreased binge-eating frequency, and 87.6% (<i>n</i> = 149) reported decreased ED psychopathology scores. At the 12-month follow-up, 97.1% (<i>n</i> = 135) reported decreased binge-eating frequency, and 93.0% (<i>n</i> = 120) reported decreased ED psychopathology scores. Inspection of the few instances of any increases revealed mostly small magnitudes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Frequency of cases with any increased symptoms of binge eating and/or ED psychopathology was quite low at posttreatment and at 1 year after ending BBWLT for BED and obesity. These participant-level findings add important clinical context regarding overall improvements with BBWLT for BED with obesity (large effect sizes) and challenge concerns that BBWLT exacerbates ED psychopathology.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 6","pages":"1058-1066"},"PeriodicalIF":4.2,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24289","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144058468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gestational weight gain, cardiometabolic health, and long-term weight retention at 17 years post delivery","authors":"Marcela R. Abrego,&nbsp;Andrew G. Rundle,&nbsp;Saralyn F. Foster,&nbsp;Daniel A. Powers,&nbsp;Lori A. Hoepner,&nbsp;Eliza W. Kinsey,&nbsp;Frederica P. Perera,&nbsp;Elizabeth M. Widen","doi":"10.1002/oby.24276","DOIUrl":"10.1002/oby.24276","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>High gestational weight gain (GWG) is positively associated with acute postpartum adiposity, long-term postpartum weight retention (LPPWR), and later cardiometabolic health, but whether associations persist into midlife remains unknown.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Among Black and Dominican women from a prospective cohort (<i>N</i> = 210), GWG adherence to 2009 Institute of Medicine (IOM) guidelines and restricted cubic spline GWG <i>z</i> scores were calculated. At 17 years post delivery, weight, height, waist circumference (WC), systolic and diastolic blood pressure, fat mass (FM), and fat-free mass were measured. Linear and logistic regression estimated associations between GWG and long-term postpartum outcomes, adjusting for covariates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Over one-half (60%) of participants had GWG above IOM guidelines. At 17 years, mean (SD) BMI was 31.2 (6.7) kg/m². GWG above IOM guidelines was positively associated with 17-year FM (β = 5.11 kg; 95% CI: 2.35–7.88), WC (β = 4.95 cm; 95% CI: 2.07–7.83), and LPPWR from prepregnancy to 17 years (β = 6.10 kg; 95% CI: 2.46–9.75), but not with blood pressure. Positive associations were also observed between GWG <i>z</i> scores and body fat percentage, FM, fat-free mass, WC, and LPPWR.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>As women age into midlife, high GWG continues to be associated with higher adiposity, as well as weight gain more than 6 kg above prepregnancy weight, compared with those who gain within or below IOM guidelines.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 6","pages":"1145-1153"},"PeriodicalIF":4.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144061482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accelerometer-derived “weekend warrior” and regularly active physical activity and incident diabetes","authors":"Lubi Lei,&nbsp;Jingkuo Li,&nbsp;Wei Wang,&nbsp;Lihua Zhang,&nbsp;Xuyang Meng,&nbsp;Chenxi Xia,&nbsp;Yi Li,&nbsp;Yejing Zhao,&nbsp;Xin Yuan,&nbsp;Xiang Wang,&nbsp;Fang Wang","doi":"10.1002/oby.24278","DOIUrl":"10.1002/oby.24278","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>We aim to investigate associations between moderate-to-vigorous physical activity (MVPA) patterns and the risk of diabetes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This prospective cohort study was based on 85,934 participants in the UK Biobank. We incorporated two thresholds of MVPA, including the guideline-based threshold (≥150 min/week) and the sample median (≥230.4 min/week). Individuals were classified as weekend warrior (WW, i.e., at or above the MVPA threshold and ≥50% of total MVPA over 1–2 days), regularly active (RA, i.e., at or above the MVPA threshold but not WW), and inactive (i.e., below the MVPA threshold). We employed Cox proportional hazards regression models to examine the associations of MVPA patterns with the risk of developing diabetes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Stratified by MVPA patterns at ≥150 min/week of MVPA, 43.7% (<i>n</i> = 37,594) of participants were classified as having the WW pattern. Compared with the inactive pattern, WW (hazard ratio [HR]: 0.76, 95% CI: 0.69–0.84) and RA (HR: 0.64, 95% CI: 0.56–0.73) patterns were associated with a lower risk of diabetes. Our findings remained consistent by employing the median threshold.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The WW pattern was associated with a similarly lower risk of diabetes as the RA pattern versus the physically inactive pattern.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 6","pages":"1154-1164"},"PeriodicalIF":4.2,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24278","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143995753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging shared variation among traits for the discovery of genetic variants in complex phenotypes such as obesity","authors":"Rodrigo Fernández-Verdejo,&nbsp;David Hughes,&nbsp;Eric Ravussin","doi":"10.1002/oby.24313","DOIUrl":"10.1002/oby.24313","url":null,"abstract":"","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 6","pages":"1025-1026"},"PeriodicalIF":4.2,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144061484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of serum 25-hydroxyvitamin D with sarcopenic obesity risk: a longitudinal observational study from the UK Biobank","authors":"Qian Xu,&nbsp;Fan Bu,&nbsp;Zi-Tong Song,&nbsp;Kuan Li,&nbsp;Chen Fang,&nbsp;Yuan Luo,&nbsp;Lei Zhang,&nbsp;Yu-Fang Pei","doi":"10.1002/oby.24286","DOIUrl":"10.1002/oby.24286","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aims to examine the association of serum 25-hydroxyvitamin D (25[OH]D) concentration with the risk of sarcopenic obesity (SO) incidence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used the longitudinal observational data from the UK Biobank cohort to evaluate the association between serum 25(OH)D concentration and the risk of SO incidence (<i>N</i> = 46,535). Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% CI between serum 25(OH)D concentration and risk of SO incidence by sex.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>During the median follow-up of 8.74 (IQR 6.70–11.06) years, there were 1086 incident SO cases. After multivariable adjustment, compared with the lowest quartile group, the HRs (95% CI) for the second, third, and fourth quartile of 25(OH)D concentration in female individuals were 0.66 (95% CI: 0.53–0.82), 0.53 (95% CI: 0.41–0.67), and 0.43 (95%: 0.33–0.55), respectively (<i>p</i>_trend &lt; 0.001). Similarly, in male individuals, the HRs (95% CI) for the second, third, and fourth quartile of 25(OH)D concentration were 0.86 (95% CI: 0.66–1.10), 0.68 (95% CI: 0.56–0.92), and 0.40 (95% CI: 0.29–0.54), respectively (<i>p</i>_trend &lt;0.001). A nonlinear association between serum 25(OH)D concentration and risk of SO incidence was observed in female (<i>p</i>_nonlinear = 0.043) and male (<i>p</i>_nonlinear = 0.008) individuals using restricted cubic spline analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Higher serum 25(OH)D concentration was significantly associated with a lower risk of SO incidence in a dose–response relationship.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 6","pages":"1136-1144"},"PeriodicalIF":4.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144056251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bidirectional associations between adiposity and mental health: a prospective cohort study of the UK Biobank","authors":"Meng Lv,&nbsp;Ying Li,&nbsp;Zihan Guo,&nbsp;Lu Ma,&nbsp;Lei Zhang","doi":"10.1002/oby.24296","DOIUrl":"10.1002/oby.24296","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aimed to examine the bidirectional associations between indicators of adiposity and mental health.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using longitudinal data from 60,319 UK Biobank participants, we explored the bidirectional associations between mental health (including neuroticism, recent depressive symptoms, probable depression status, stress, mania, life satisfaction, and happiness) and adiposity indicators (including BMI, waist circumference, body fat percentage, and different obesity types).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The multivariate logistic regressions and mixed-effects models revealed the following: 1) BMI and general obesity were bidirectionally associated with recent depressive symptoms, having probable depression status, experiencing at least one type of stress (especially stress from serious illness, injury, or assault to oneself or financial difficulties), and life satisfaction (especially health satisfaction and financial situation satisfaction); 2) waist circumference and abdominal obesity were bidirectionally associated with recent depressive symptoms and financial situation satisfaction; and 3) body fat percentage and high body fat percentage were bidirectionally associated with recent depressive symptoms, experiencing stress from financial difficulties, health satisfaction, and financial situation satisfaction.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The bidirectional associations between specific indicators of adiposity and mental health depend on the types of adiposity.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 6","pages":"1195-1206"},"PeriodicalIF":4.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24296","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144035301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential weight-loss responses of APOA2 genotype carriers to low-carbohydrate and low-fat diets: the DIETFITS trial","authors":"Chao-Qiang Lai,&nbsp;Laurence D. Parnell,&nbsp;Sai Krupa Das,&nbsp;Christopher D. Gardner,&nbsp;José M. Ordovás","doi":"10.1002/oby.24288","DOIUrl":"10.1002/oby.24288","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aimed to determine whether <i>APOA2</i> genotypes and saturated fatty acid (SAT) intake affect weight-loss response to healthy low-carbohydrate (HLC) and healthy low-fat (HLF) diets.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This is a secondary analysis of the Diet Intervention Examining The Factors Interacting with Treatment Success (DIETFITS) study, a 12-month randomized clinical trial of HLC or HLF diets in 609 adults aged 18 to 50 years with BMI values between 28 and 40 kg/m². The current study examined 3-, 6-, and 12-month weight loss in participants with different <i>APOA2</i> genotypes (TT vs. C allele carriers, CT + CC) at variant rs5082 who met the SAT intake criterion of ≥22 g/day for an HLC diet and &lt; 22 g/day for an HLF diet at all three study time points.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Participants with the TT <i>APOA2</i> genotype lost significantly more weight consistently on an HLC diet than on an HLF diet at 3, 6, and 12 months, whereas C allele carriers lost more weight only at 3 months and not at 6 or 12 months. <i>APOA2</i> genotype-by-SAT intake interaction affecting weight loss was observed only at 12 months. Among participants who did not consistently meet the SAT intake criterion, there were no significant weight-loss differences among <i>APOA2</i> genotypes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This study highlights the importance of evaluating genotype–diet interactions in weight-loss trials to better inform precision nutrition interventions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Clinical Trial Registration: NCT01826591</h3>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 6","pages":"1048-1057"},"PeriodicalIF":4.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24288","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144046886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of protein supplementation on body composition after bariatric surgery: a systematic review and meta-analysis of randomized controlled trials","authors":"Mahsa Ranjbar,&nbsp;Maryam Fallah,&nbsp;Kurosh Djafarian,&nbsp;Hamed Mohammadi,&nbsp;Gholamreza Mohammadi Farsani,&nbsp;Sakineh Shab-Bidar","doi":"10.1002/oby.24283","DOIUrl":"10.1002/oby.24283","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>We aimed to explore the effect of protein supplementation on anthropometric measures and body composition in patients after metabolic bariatric surgery (MBS).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We performed a systematic search up to January 2024 including randomized controlled trials investigating the effects of protein or amino acid supplementation on the body composition of patients who underwent MBS. The overall effect was presented as the weighted mean difference (WMD) at a 95% CI.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Ten trials were included in this meta-analysis. Our results indicate that there was a statistically greater change in weight (WMD, −1.31 kg, 95% CI: −1.93 to −0.69, <i>p</i> &lt; 0.001; Grading of Recommendations Assessment, Development, and Evaluation [GRADE] = moderate), muscle mass (WMD, 1.33 kg, 95% CI: 0.1 to 2.57, <i>p</i> = 0.035; GRADE = low), fat-free mass (WMD, 1.74 kg, 95% CI: 0.46 to 3.01, <i>p</i> = 0.01; GRADE = low), and fat mass (WMD, −3.91 kg, 95% CI: −4.10 to −0.59, <i>p</i> = 0.01; GRADE = low) in the protein group compared to the control group. However, protein supplementation did not significantly change BMI and lean body mass.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Based on moderate- to low-certainty evidence, our findings suggest that although protein supplementation may improve weight and some body composition metrics, it does not influence overall BMI and lean body mass. More research is needed to recommend protein supplementation after MBS.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 6","pages":"1027-1036"},"PeriodicalIF":4.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144004136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Grandmaternal perinatal serum polychlorinated biphenyls and prevalence of obesity in adult daughters and granddaughters","authors":"Barbara A. Cohn,&nbsp;Piera M. Cirillo,&nbsp;Michele A. La Merrill,&nbsp;Caitlin C. Murphy,&nbsp;Xin Hu,&nbsp;Nickilou Y. Krigbaum","doi":"10.1002/oby.24284","DOIUrl":"10.1002/oby.24284","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>We investigated in utero exposure to polychlorinated biphenyl (PCB) 138, PCB 153, and PCB 180 and obesity at reproductive age in a three-generation human cohort, i.e., the Child Health and Development Studies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We used logistic models to estimate associations of PCBs in grandmothers' (F0) archived perinatal serum with obesity in daughters (F1) at age 30 years and granddaughters (F2) at age 26 years, accounting for family clustering (<i>n</i> = 258 triads). In order to reflect mixture exposures, we modeled PCBs as a ratio of the sum of PCB 138 + PCB 180 to PCB 153 (i.e., “PCB ratio”).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>An increase in the PCB ratio from the first to the third tertile corresponded to a 1.73 (95% CI: 1.06–2.82) increase in the odds of F1 obesity and a 1.96 (95% CI: 1.12–3.42) increase in the odds of F2 obesity. The association with F2 obesity differed by F0 BMI (<i>p</i> value for interaction = 0.08). F1 obesity was also associated with F2 obesity (odds ratio, 4.12, 95% CI: 1.95–8.72).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Grandmothers' perinatal serum levels of mixtures of PCBs may have triggered a multigenerational cycle of obesity in daughters and granddaughters. Resultant obesity among women of reproductive age could further perpetuate obesity in subsequent generations.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 6","pages":"1165-1175"},"PeriodicalIF":4.2,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24284","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144056483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}