Obesity Reviews最新文献

{"title":"Influence of GLP-1-Based Pharmacotherapies on Eating Behavior, Appetite, and Energy Intake in Adults With Overweight or Obesity: A Systematic Review and Meta-Analysis.","authors":"Clarissa Dakin, Jordan D Beaumont, Beverley O Hara","doi":"10.1111/obr.70245","DOIUrl":"https://doi.org/10.1111/obr.70245","url":null,"abstract":"<p><strong>Introduction: </strong>Although GLP-1-based pharmacotherapies achieve clinically significant weight loss, their influence on eating behavior is unknown.</p><p><strong>Methods: </strong>This systematic review examined the effects of GLP-1-based pharmacotherapies on eating behavior, appetite, and energy intake in adults (≥ 18 years) with overweight or obesity (BMI ≥ 25 kg/m²) without major comorbidities. MEDLINE, PsycINFO, EMBASE and Web of Science were searched on 4^th November 2025. Risk of bias was assessed, and meta-analyses were conducted for energy intake and overall appetite suppression, with other outcomes synthesized qualitatively.</p><p><strong>Results: </strong>Twenty-five articles involving 4060 participants were included (64% female, mean age = 44 years, mean BMI = 36.7 kg/m²). Four studies were deemed low risk of bias. A reduction in energy intake was observed (SMD = -0.775, 95% CI = -1.21 to -0.34, p = 0.002), although heterogeneity was high (I² = 82.7%) and the prediction interval included no effect. A small increase in appetite suppression was also observed (MD = 7.800, 95% CI = 3.74 to 11.86, p = 0.001). Qualitative findings suggested reductions in food craving and some measures of food reward. Nausea was more frequent with active treatment and may have influenced the observed effects or increased awareness of treatment allocation.</p><p><strong>Conclusion: </strong>GLP-1-based pharmacotherapies may reduce short-term energy intake and appetite. However, the magnitude and consistency of these effects remain uncertain because of substantial heterogeneity, imputation of variance data, and variability in outcome assessment. Evidence relating to food craving, food preferences and other eating behaviors requires further investigation.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":" ","pages":"e70245"},"PeriodicalIF":7.6,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149222894","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":"Cost-Effectiveness of Personalized Lifestyle Interventions in Adults With Overweight/Obesity: A Systematic Review.","authors":"Delfien Gryspeerdt, Linde Samyn, Ruben Willems, Maria Kafyra, Ioanna Panagiota Kalafati, Lieven Annemans, Georgios V Dedoussis, Nick Verhaeghe","doi":"10.1111/obr.70234","DOIUrl":"https://doi.org/10.1111/obr.70234","url":null,"abstract":"<p><strong>Objectives: </strong>Obesity and overweight pose a global health and economic burden. Lifestyle interventions are recommended as first-line treatment. Given their individual complexity, personalized lifestyle interventions may be more effective than one-size-fits-all approaches. This review assessed the methodology, findings and reporting quality of cost-effectiveness analyses evaluating personalized lifestyle interventions in adults with overweight or obesity.</p><p><strong>Methods: </strong>MEDLINE, Embase, Web of Science, and Scopus were searched in March 2025, with backward reference tracking. Full economic evaluations were included without date restrictions. Studies were categorized by highest applicable personalization level: behavioral (Level 1), phenotype-based (Level 2), or omics-based (Level 3). Reporting quality was assessed using the CHEERS 2022 Checklist.</p><p><strong>Results: </strong>From 15,385 records screened, 18 studies were included. Fourteen evaluated Level 1 interventions and two each evaluated Levels 2 and 3. Thirteen were cost-utility analyses: seven reported cost-effective or dominant findings, four reported not cost-effective findings, and two reported unclear or mixed results. Ten studies reported cost-effectiveness using clinical outcomes: eight showed favorable findings for at least one outcome, and two reported unclear findings. Heterogeneity in intervention design and methods between studies precluded robust conclusions. Findings for level 1 were mixed, evidence for levels 2 and 3 was limited, with favorable and inconsistent findings, respectively.  CONCLUSIONS: Evidence on the cost-effectiveness of personalized lifestyle interventions was mixed and predominantly behavioral personalization. The scarcity of economic evaluations evaluating more advanced personalized lifestyle interventions remains a key evidence gap. Future research should evaluate their added value to inform resource allocation in obesity management.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":" ","pages":"e70234"},"PeriodicalIF":7.6,"publicationDate":"2026-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190461","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":"Eating Behaviors, Dietary Intakes, and Other Lifestyle Behaviors as Mediators of Genetic Susceptibility to Obesity: A Systematic Review.","authors":"Benoît Boulanger, Laurence Pelletier, Angelo Tremblay, Marie-Claude Vohl, Vicky Drapeau, Louis Pérusse","doi":"10.1111/obr.70239","DOIUrl":"https://doi.org/10.1111/obr.70239","url":null,"abstract":"<p><p>Mediation analysis identifies variables that explain the causal pathways linking an exposure (here genetic susceptibility to obesity) to an outcome (here obesity-related traits), offering potential targets for weight management interventions. This review followed the PRISMA guidelines and systematically searched the literature up to August 2024 in four databases (Web of Science, Embase, Medline, CINAHL) to identify studies using mediation analysis with genetic or polygenic risk scores of obesity as exposure and body mass index (BMI) as outcome. Twenty-nine studies focusing on eating behaviors, diet quality, physical activity, and other lifestyle factors were included. Eating behaviors traits emerged as the most influential mediators of genetic susceptibility to obesity. Mediation explained 23%-56% of the genetic effect on BMI for disinhibition, 6%-23% for uncontrolled eating, 4%-19% for susceptibility to hunger, 4%-15% for emotional eating and 8%-10% for satiety responsiveness. For diet quality, fat intake mediated 4%-5% of the effect, while whole grain intake explained 1%-2%. Physical activity accounted for 0.3%-23% of mediation, whereas sedentary time explained 5%-43%. These findings highlight that behavioral and lifestyle factors substantially mediate genetic risk for obesity. Interventions targeting disinhibition, uncontrolled eating, susceptibility to hunger, fat intake, whole grain consumption, physical activity and sedentary behavior could improve obesity prevention and management, particularly for individuals with higher genetic susceptibility.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":" ","pages":"e70239"},"PeriodicalIF":7.6,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190427","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":"Assessing Behavioral and Environmental Facets of Obesity Unobtrusively Utilizing Digital Tools: Introducing the BETTER4U Indicators.","authors":"Chrysa Episkopou, Dimitrios Aletras, Afroditi Kita, Aleksandra Luszczynska, Maria Kafyra, Eva Karaglani, Yannis Manios, Maira Bes-Rastrollo, Anna Ek, Ioannis Ioakeimidis, Ioanna Panagiota Kalafati, Ana Rito, Alexis Kyriacou, Anestis Dougkas, Julie Anne Nazare, Louise Seconda, Gillian Santorelli, Vassilios Fanos, Karri Silventoinen, Terho Lehtimäki, George V Dedoussis, Anastasios Delopoulos","doi":"10.1111/obr.70242","DOIUrl":"https://doi.org/10.1111/obr.70242","url":null,"abstract":"<p><p>Understanding obesity involves evaluating numerous contributing factors. Collecting the necessary data for this can impose a significant burden on both research participants during clinical studies and real-life deployments of digital tools aiding obesity management. The BETTER4U project (European Union's Horizon Europe, Grant Agreement ID 101080117) introduces 36 behavioral and 9 living environment indicators designed to unobtrusively and efficiently capture daily life through passive monitoring using market-available smartphones and smartwatches while accounting for environmental confounders. This concise set, intended for dietitians, physical activity experts, and healthcare professionals as a standard for assessing obesity-related behavior, summarizes the behavioral and environmental profile of a person with obesity/overweight. We present the selected indicators, their selection and implementation methodology and the high-level plan for their verification, describing their conceptual foundations and technical realization. These indicators can be deployed in a modular framework: by transforming raw sensor data into structured, interpretable measures they provide a scalable foundation for long-term monitoring of obesogenic behaviors, individual assessment, and evaluation of interventions targeting physical activity, diet, stress, and sleep. The indicators are intended for an expert-facing dashboard within the BETTER4U Intervention Platform, a participant-side interface within the BETTER4U application, and as input to the BETTER4U AI-based causal model, supporting relationship modeling between behavior, environment, and obesity outcomes to inform personalized interventions. This work lays the basis for data-driven validation of these indicators following the \"BETTER4ALL Pilot Study\" (ClinicalTrials.gov ID: NCT07120802), ahead of their use in the BETTER4U RCT among individuals with obesity/overweight.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":" ","pages":"e70242"},"PeriodicalIF":7.6,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190440","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":"Directional Harmonization and Transportability of the Adiposity-Depression Association.","authors":"Nobuyuki Toshikuni","doi":"10.1111/obr.70251","DOIUrl":"https://doi.org/10.1111/obr.70251","url":null,"abstract":"","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":" ","pages":"e70251"},"PeriodicalIF":7.6,"publicationDate":"2026-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149178264","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":"Is Meat Industry Affiliation Associated With Study Conclusion in Nutrition Research? A Meta-Research Review","authors":"Navid Teimouri,&nbsp;Katherine Sievert,&nbsp;Adam Hannah,&nbsp;Stephanie Meciar,&nbsp;Kerri Gill,&nbsp;Helen Jane Senior,&nbsp;Katherine Cullerton","doi":"10.1111/obr.70153","DOIUrl":"10.1111/obr.70153","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>The meat industry's role in funding and influencing scientific research raises concerns about its impact on evidence used to inform public health policy. Although industry influence on other food and beverage sectors is well-documented, its effects on studies of meat consumption remain understudied.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aimed to investigate the influence of meat industry involvement on study conclusions of research examining the health impacts of meat consumption.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A meta-research review of relevant studies published between 2014 and 2023 was conducted using PubMed and Scopus. Studies investigating the nutritional health impacts of meat consumption were included. Study characteristics, author affiliations, declared funding sources, declared conflicts of interest, and study conclusions were extracted. Association tests were used to assess the relationship between industry ties and study conclusions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of 500 included studies, 78 (15.6%) reported industry involvement. Studies with industry ties were 16 times more likely to report favorable conclusions regarding meat consumption (odds ratio [OR] = 16.4, 95% CI: 7.5–35.8), and there was a significant association (<i>p</i> &lt; 0.001) between industry involvement and study conclusion.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Meat industry involvement significantly increases the likelihood of favorable study conclusions in nutrition research. These findings underscore the need for caution when interpreting research funded or associated with the meat industry and emphasize the importance of minimizing conflicts of interest in nutrition research.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Trial Registration</h3>\u0000 \u0000 <p>Prospero: ID CRD42024526116</p>\u0000 </section>\u0000 </div>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":"27 11","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/obr.70153","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147808942","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":"Comparison of AMSTAR 2 and ROBIS Ratings and Inter-Rater Reliability for Each Scale Based on Systematic Reviews/Meta-Analyses","authors":"Monika Storman,&nbsp;Dawid Storman,&nbsp;Mateusz J. Świerz,&nbsp;Katarzyna W. Jasińska,&nbsp;Paweł Jemioło,&nbsp;Małgorzata M. Bała","doi":"10.1111/obr.70147","DOIUrl":"10.1111/obr.70147","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>To compare the ratings of quality and risk of bias of systematic reviews/meta-analyses (SRs/MAs) in bariatric research published in 2016 and 2017 using the AMSTAR 2 and ROBIS tools. The methodology is described in detail in our first publication (Obes Rev. 2020; https://doi.org/10.1111/obr.12994).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A systematic survey by searching three electronic databases was conducted to identify SRs/MAs assessing any outcome in patients with morbid obesity undergoing or scheduled for bariatric surgery published in 2016 and 2017. Pairs of reviewers independently screened titles and abstracts, assessed full texts, extracted data, and evaluated the quality and risk of bias using the AMSTAR 2 and ROBIS tools. Discrepancies were resolved by a third reviewer. Agreement between reviewers and between the instruments was assessed using Fleiss' kappa and Gwet's statistics. Matching between AMSTAR 2 items (critical and noncritical) and ROBIS signaling questions was also examined.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of the 78 included SRs/MAs, 77 (98.7%) were assessed as critically low methodological quality by AMSTAR 2, while ROBIS classified five reviews (6.4%) as low risk of bias, 61 (78.2%) as high, and 12 (15.4%) as unclear. Both tools demonstrated moderate inter-rater reliability for individual items and overall judgments.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The methodological quality of SRs/MAs in bariatric research was predominantly critically low. Calibration exercises are strongly recommended before applying either tool. AMSTAR 2 and ROBIS each address a distinct research question, and tool choice should be guided by the specific study objective.</p>\u0000 \u0000 <p><b>PROSPERO Registration:</b> CRD42017080394.</p>\u0000 </section>\u0000 </div>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":"27 11","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147831741","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":"Effectiveness of Zumba in Improving Cardiorespiratory Fitness and Anthropometric Measures Among Women With Low Physical Activity Levels: A Systematic Review and Meta-Analysis.","authors":"Lemuel Wen Lei Ma, Mei Sin Chong, Dion Candelaria, Tin Mei Yeo, David R Thompson, Wenru Wang","doi":"10.1111/obr.70236","DOIUrl":"https://doi.org/10.1111/obr.70236","url":null,"abstract":"<p><strong>Background: </strong>Physical inactivity increases the risk of developing chronic illnesses. However, the effectiveness of Zumba among women who are physically inactive remains understudied. This review aims to evaluate the effectiveness of Zumba in improving cardiorespiratory fitness and anthropometric measures (body mass index, body fat, and waist circumference) among women with low physical activity levels.</p><p><strong>Methods: </strong>PubMed, EMBASE, Cochrane, Scopus, Web of Science, CINAHL, and ProQuest Education Collection were systematically searched until June 8, 2025. Eligibility criteria were as follows: (1) randomized controlled trials involving insufficiently active adult women (< 150 min moderate or < 75 min vigorous activity/week); (2) Zumba or its variations as the intervention; (3) no intervention or usual care as the comparator; and (4) reporting of cardiorespiratory fitness, body mass index, body fat percentage, or waist circumference. Quality appraisal for included studies was performed using the revised Cochrane Risk of Bias tool. Meta-analyses were performed using the random-effects model where possible.</p><p><strong>Results: </strong>Seven randomized controlled trials (eight reports) were included. Zumba significantly improved cardiorespiratory fitness (MD = 3.63; 95% CI 2.00, 5.26; p < 0.01) and body fat percentage (MD = -5.11; 95% CI -8.77, -1.46; p < 0.01) compared to no intervention/usual care. No statistically significant differences were observed in body mass index between groups (MD = -0.97; 95% CI -2.49, 0.54; p = 0.21). Narrative synthesis of three reports found positive improvements in waist circumference after completion of Zumba interventions.</p><p><strong>Conclusion: </strong>Zumba effectively improves cardiorespiratory fitness and reduces body fat percentage among women with low physical activity levels. Further high-quality research is warranted to determine optimal intervention dosage, assess other Zumba modalities, and explore Zumba's implementation and sustainability.</p>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":" ","pages":"e70236"},"PeriodicalIF":7.6,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149163901","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":"Effects of Weight Loss Interventions on Gut Microbiota-Derived Metabolites Linked to Cardiometabolic Health: A Systematic Review and Meta-Analysis","authors":"Fernando Q. Iorra,&nbsp;Leonardo André Swarowsky Loebens,&nbsp;Andrea Auler,&nbsp;Eduarda Caroline Tasso Nascimento,&nbsp;Beatriz D. Schaan,&nbsp;Patrícia Martins Bock","doi":"10.1111/obr.70151","DOIUrl":"10.1111/obr.70151","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Gut microbiota-derived metabolites are emerging as potential mediators between obesity and cardiometabolic conditions. While weight loss interventions modify microbiota composition, their effects on systemic microbial metabolites remain unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>To evaluate the effect of weight loss interventions on circulating levels of key gut-derived metabolites in individuals with overweight or obesity, through a systematic review and meta-analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Searches were performed in MEDLINE, EMBASE, and The Cochrane Library up to July 17, 2024. We included intervention studies in individuals with overweight/obesity undergoing weight loss strategies, with measurement of serum lipopolysaccharides (LPSs), trimethylamine N-oxide (TMAO), secondary bile acids, short-chain fatty acids (SCFAs), or indole derivatives. Meta-analysis used the standardized mean difference (SMD) with a random-effects model, stratified by intervention type (non-surgical or surgical).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Sixty-seven studies were included. Non-surgical interventions were associated with reduced TMAO (<i>n</i> = 8 studies; SMD: –0.56; 95% CI –0.90 to −0.22; <i>I</i>² = 74.7%), but not LPS (<i>n</i> = 10 studies; SMD: –0.11; 95% CI –0.58 to 0.35; <i>I</i>² = 91.2%). Surgical interventions were associated with decreased LPS (<i>n</i> = 7 studies; SMD: –0.47; 95% CI –0.80 to −0.14; <i>I</i>² = 78.8%), and increased TMAO (<i>n</i> = 8 studies; SMD: 0.49; 95% CI 0.08 to 0.90; <i>I</i>² = 81.8%) and secondary bile acids (<i>n</i> = 13 studies; SMD: 0.48; 95% CI 0.30 to 0.66; <i>I</i>² = 58.8%). Evidence on SCFAs and indole derivatives was limited.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Weight loss strategies have distinct effects on gut microbiota-derived metabolites, underscoring the complexity of microbiota–host interactions and the potential for personalized approaches to obesity treatment.</p>\u0000 </section>\u0000 </div>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":"27 11","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/obr.70151","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147758431","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":"Effect of Behavioral Weight Management Interventions on Symptoms of Binge-Eating Disorder and Bulimia Nervosa: A Systematic Review and Meta-Analysis","authors":"Michael P. Berry,&nbsp;Craig G. Gunderson,&nbsp;Samer Ein Alshaeba,&nbsp;Melissa C. Funaro,&nbsp;Jürgen L. Holleck,&nbsp;Elizabeth A. Marhoffer,&nbsp;Robin M. Masheb","doi":"10.1111/obr.70154","DOIUrl":"10.1111/obr.70154","url":null,"abstract":"<div>\u0000 \u0000 <p>Many individuals with obesity meet criteria for an eating disorder such as binge-eating disorder (BED) or bulimia nervosa (BN). However, the impact of behaviorally based weight management interventions such as behavioral weight loss (BWL) on eating disorder symptoms for individuals diagnosed with BED or BN is unclear, with one possibility being that encouraging intentional weight loss could exacerbate symptoms of these disorders. Thus, the purpose of this systematic review and meta-analysis was to evaluate the impact of behavioral weight management interventions on eating disorder symptoms among individuals diagnosed with BED or BN. Electronic database searches yielded 22 experimental groups across 11 trials that met inclusion criteria (890 participants). All trials reported that on average, baseline eating disorder symptoms decreased after weight management interventions at posttreatment. Random-effects meta-analyses revealed no significant difference between weight management interventions and comparison groups in posttreatment changes to binge-eating frequency (M_D = 0.59, 95% CI [−0.86, 1.86]), global eating disorder symptom severity (M_D = 0.03, 95% CI [−0.15, 0.21]), or pooled eating disorder symptom outcomes (<i>g</i> = 0.04, 95% CI [−0.20, 0.29]). Posttreatment symptom decreases were greater when weight management interventions were compared with no-treatment (vs. active) control groups, and outcomes were also moderated by the type of weight management intervention used. These findings, though limited by the small number of trials, heterogeneity in study design and outcome measures, and sparse long-term outcome data, suggest that behavioral weight management interventions may be an effective treatment modality for individuals diagnosed with full-threshold BED or BN.</p>\u0000 </div>","PeriodicalId":216,"journal":{"name":"Obesity Reviews","volume":"27 11","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147985769","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}