Obesity最新文献

{"title":"Timing Matters: Early Eating Mitigates Genetic Susceptibility for Obesity","authors":"Divya Joshi, Marie Pigeyre","doi":"10.1002/oby.24350","DOIUrl":"10.1002/oby.24350","url":null,"abstract":"<p>Obesity is a multifactorial and highly heritable condition, influenced by the interplay between genetic predisposition and modifiable lifestyle behaviors. While the contribution of diet composition and physical activity to energy balance is well established, growing evidence highlights the role of circadian rhythms, particularly meal timing, in regulating metabolic health [<span>(1)</span>]. Disruptions in the synchrony between endogenous biological rhythms and external behavioral cues, such as the timing of food intake, have been associated with increased risk of obesity, insulin resistance, and related cardiometabolic disorders. However, the mechanisms and the extent to which timing of meal intake interacts with genetic susceptibility to influence obesity-related outcomes remain not fully clear.</p><p>In this issue of <i>Obesity</i>, a study by Rocío De la Peña-Armada et al. [<span>(2)</span>], conducted in the Obesity, Nutrigenetics, Timing, and Mediterranean (ONTIME) cohort, addresses this gap by examining the independent and interactive effects of meal timing and polygenic risk for body mass index (BMI) on weight-related outcomes. The authors included 1195 adults with overweight or obesity who were participating in a standardized, multimodal weight loss intervention in Spain. The intervention comprised dietary counseling, physical activity, and behavioral therapy but notably did not advise on meal timing, thereby allowing for natural variation in chrononutritional behavior.</p><p>Meal timing was assessed via self-reported usual times for breakfast and dinner, from which the midpoint of food intake was calculated and used as a marker of chrononutritional behavior [<span>(2)</span>]. Participants were classified as early or late eaters based on the tertiles of this midpoint. Genetic predisposition to obesity was quantified using a genome-wide polygenic score for BMI (PGS-BMI), generated through the polygenic scores of continuous shrinkage (PGS-CS) method, which modeled the effects of ~900,000 single-nucleotide polymorphisms (SNPs) using a Bayesian framework [<span>(3)</span>]. This approach offers improved prediction of complex traits over traditional polygenic risk scoring methods by accounting for the continuous shrinkage of SNP effects and linkage disequilibrium.</p><p>The study reports robust and clinically relevant findings [<span>(2)</span>]. Later meal timing was independently associated with higher baseline BMI, slower weight loss during intervention, and poorer long-term weight maintenance. Specifically, each 1-h delay in meal intake midpoint was associated with nearly a 1-kg/m<sup>2</sup> increase in BMI, a slower weight loss rate of 0.05 kg/week, and a 3% increase in weight regained after an average of 12 years. These associations persisted even after adjusting for potential confounders, such as total energy intake, macronutrient distribution, sleep duration, physical activity, and educational level. Notably, the authors observed","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 8","pages":"1414-1415"},"PeriodicalIF":4.2,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24350","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144710416","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":"Early meal timing attenuates high polygenic risk of obesity","authors":"R De la Peña-Armada,&nbsp;María Rodríguez-Martín,&nbsp;Hassan S. Dashti,&nbsp;Ana Isabel Cascales,&nbsp;Frank A. J. L. Scheer,&nbsp;Richa Saxena,&nbsp;Marta Garaulet","doi":"10.1002/oby.24319","DOIUrl":"10.1002/oby.24319","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>We examined whether meal timing is associated with long-term weight-loss maintenance and whether meal timing interacts with a genome-wide polygenic score (PRS-BMI) on body weight-related outcomes. We then examined the interaction of meal timing with 97 BMI-related single-nucleotide polymorphisms on obesity outcome.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Participants (<i>N</i> = 1195, mean age 41.07 [SD 12.68] years, female 80.8%, baseline mean BMI 31.32 [SD 5.53] kg/m²) were adults with overweight or obesity from the Obesity, Nutrigenetics, Timing, and Mediterranean (ONTIME) study. We developed a PRS-BMI to assess the genetic risk for obesity and estimated the timing of the midpoint of meal intake. We also calculated the success in long-term weight-loss maintenance after a dietary obesity treatment (at least 3 years). Linear regression analyses were performed for association and interaction assessments.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Each hour of delay in meal timing was associated with 2.2% higher long-term body weight (β [SE] = 2.177% [1.067%]; <i>p</i> = 0.042) (i.e., with lower weight-loss maintenance following dietary obesity treatment). There was a significant interaction between meal timing and PRS-BMI (<i>p</i> = 0.008); BMI increased by more than 2 kg/m² for every hour of delay in meal timing in individuals with high PRS-BMI (β [SE] = 2.208 [0.502] kg/m²; <i>p</i> = 1.0E-5), whereas no associations were evident for those with lower genetic risk.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Meal timing is associated with weight-loss maintenance and may influence the association between obesity genetics and BMI. Findings underscore the importance of personalized obesity management.</p>\u0000 \u0000 <div>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 8","pages":"1555-1566"},"PeriodicalIF":4.2,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24319","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144677089","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":"Associations of BMI, sleep quality, and sleep duration trajectories with new-onset diabetes mellitus in the elderly","authors":"Shanshan Li,&nbsp;Boyi Yang,&nbsp;Shasha Shang,&nbsp;Wei Jiang","doi":"10.1002/oby.24338","DOIUrl":"10.1002/oby.24338","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Our objective was to investigate the relationships between BMI, sleep quality, and sleep duration trajectories and new-onset diabetes mellitus (NODM) in the elderly.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We analyzed 2648 diabetes-free participants aged ≥60 years from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in 2014. Using Cox proportional hazards models, we examined the associations of BMI, self-reported sleep quality, and sleep duration trajectories (categorized as persistent short, persistent normal, persistent long, low-increasing, normal-decreasing, normal-increasing, and long-decreasing) with NODM risk over 4 years. Diabetes diagnosis was self-reported.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Over 4 years, 94 participants developed NODM. Obesity was associated with the highest risk (adjusted hazard ratio [HR] 2.247 [CI: 1.212–4.168]). Compared with individuals with good sleep quality, those with poor sleep quality showed an increased risk of NODM, but this association was not statistically significant (HR 1.570 [0.903–2.731]). Additionally, persistent short, normal-decreasing, and long-decreasing sleep trajectories were associated with elevated NODM risk (adjusted HR values 11.662 [CI: 1.565–86.896], 8.403 [CI: 1.023–69.010], and 9.474 [CI: 1.269–70.700]).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>BMI, sleep quality, and sleep duration trajectories are associated with NODM risk. Individuals with higher BMI values, poor sleep quality, or persistent short or decreasing sleep duration may be at higher risk for NODM, warranting further attention.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 8","pages":"1595-1605"},"PeriodicalIF":4.2,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24338","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144651670","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":"Adiposity associations with risk of colorectal cancer: a systematic review","authors":"Shelby G. Ziller,&nbsp;Carrie S. Standage-Beier,&nbsp;Uzoamaka E. Okwor,&nbsp;D. Jean McClelland,&nbsp;Bahar Bakhshi,&nbsp;Dawn K. Coletta,&nbsp;Jennifer W. Bea","doi":"10.1002/oby.24314","DOIUrl":"10.1002/oby.24314","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This systematic review evaluates the relationship between adiposity and incident colorectal cancer (CRC) risk.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>MEDLINE, Scopus, Embase, CINAHL, and CENTRAL were searched for articles that met the following criteria: 1) assessed adiposity measures; 2) included incident data for any diagnosed malignant stage of CRC, colon cancer, or rectal cancer; and 3) studied adults aged older than 18 years. Articles were assessed for bias using the National Institutes of Health study quality assessment tools.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Fifteen articles across ten studies met the inclusion criteria. Three significant associations were positive, one was negative, and eleven were nonsignificant and positive. Measures varied based on the tool, and these four tools were used to gather body composition measures: bioelectrical impedance, computerized tomography, dual-energy x-ray absorptiometry, and ultrasound. The most used were total body fat mass and percent fat, along with abdominal visceral and subcutaneous adipose tissues. Overall, higher levels of adipose were positively associated with an increased risk of CRC. The strength of associations and significance varied by body composition variable, measurement technique, tumor location, and sex.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Standardization is needed to better elucidate the relation between CRC and adiposity to allow for comparisons across papers. Additionally, a balance among precision, accessibility, and cost of measurements must be struck.</p>\u0000 \u0000 <div>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 8","pages":"1416-1431"},"PeriodicalIF":4.2,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144628309","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":"Associations between coexposure to bisphenols mixture and metabolic diseases: based on three statistical models","authors":"Yaqi Zhu,&nbsp;Keqin Liu,&nbsp;Jinjin Guo,&nbsp;Yuqi Wang,&nbsp;Jixin Yang,&nbsp;Yanwei Su","doi":"10.1002/oby.24327","DOIUrl":"10.1002/oby.24327","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Bisphenol A (BPA) and its substitutes are common environmental endocrine disruptors. We investigated whether coexposure to BPA and its substitutes are associated with metabolic diseases (MDs), the related indicators, and their multimorbidity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The study included 1409 participants from the National Health and Nutrition Examination Survey (NHANES). Generalized linear regression, Bayesian kernel machine regression, and the weighted quantile sum (WQS) models were used to study the associations between bisphenol concentrations and comprehensive MDs, including their multimorbidity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In the logistic regression model, BPA and bisphenol F were each independently associated with obesity, whereas BPA and bisphenol S (BPS) were each independently associated with multimorbidity. In the Bayesian kernel machine regression analysis, the joint effects of the three chemicals were positively associated with hypertension and obesity, with BPS generating the highest posterior inclusion probability. In the WQS regression analysis, the WQS index demonstrated significant associations with obesity and hypertension, with BPS the highest contributor to both of them.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Three statistical methods confirmed that BPA and its substitutes were associated with specific MDs. Our findings indicate that coexposure to bisphenols significantly increases the risk of obesity and hypertension.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 8","pages":"1580-1594"},"PeriodicalIF":4.2,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144610701","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":"Secondary analysis of the Game of Stones trial for men with obesity: examining moderator effects and exploratory outcomes","authors":"Stephan U. Dombrowski,&nbsp;Pat Hoddinott,&nbsp;Lisa Macaulay,&nbsp;Catriona O'Dolan,&nbsp;James Swingler,&nbsp;Seonaidh Cotton,&nbsp;Alison Avenell,&nbsp;Abraham M. Getaneh,&nbsp;Cindy Gray,&nbsp;Kate Hunt,&nbsp;Frank Kee,&nbsp;Alice MacLean,&nbsp;Michelle C. McKinley,&nbsp;Claire Torrens,&nbsp;Katrina Turner,&nbsp;Marjon van der Pol,&nbsp;Graeme MacLennan","doi":"10.1002/oby.24316","DOIUrl":"10.1002/oby.24316","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The objective was to explore whether socioeconomic, health, and behavioral characteristics moderate the effectiveness of a text message intervention with or without financial incentives versus a control group and to examine differences in exploratory outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This three-group randomized trial including 585 men with obesity compared daily automated behavioral text messages alongside financial incentives, text messages alone, and a waiting list control for 12 months. Moderator analyses examined percentage weight change after 12 months for 9 socioeconomic and 11 health factors. Exploratory outcomes included the following: self-reported physical activity, sedentary behavior, smoking and alcohol behaviors, engagement in 15 weight-management strategies, and weight-management–related confidence.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>No moderator effects were found by any factors for either comparison versus control. There were no differences across groups for health behaviors. The texts with incentives group had higher levels of engagement in six strategies including weight goals, food changes, and self-weighing and higher levels of confidence compared with the control.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The Game of Stones interventions were equally effective across various subgroups based on socioeconomic, health, or well-being status. Texts with financial incentives group participants showed better engagement for some intervention elements. The implementation of Game of Stones is unlikely to increase health inequalities. Future studies should focus on increasing engagement.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 8","pages":"1432-1446"},"PeriodicalIF":4.2,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24316","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602686","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":"Prepregnancy GLP-1RA use improves maternal lipid metabolism via liver-secreted FGF21 during pregnancy in HFD-fed dams","authors":"Haonan Guo,&nbsp;Yingyu Jing,&nbsp;Yifan Zhang,&nbsp;Lin Song,&nbsp;Wenjing Wu,&nbsp;Jingyue Wang,&nbsp;Mengjun Wang,&nbsp;Xinyi Niu,&nbsp;Mingxi Wang,&nbsp;Xingyan Pan,&nbsp;Ting Wang,&nbsp;Wei Cui,&nbsp;Bo Sun,&nbsp;Ning Wang","doi":"10.1002/oby.24328","DOIUrl":"10.1002/oby.24328","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Obesity in women of childbearing age disrupts lipid metabolism in pregnancy. This study aims to evaluate the impact of prepregnancy glucagon-like peptide-1 receptor agonist (GLP-1RA) use on lipid metabolism during pregnancy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A retrospective case–control study with 42 participants was employed to analyze the impact of prepregnancy GLP-1RA use on lipid metabolism during pregnancy in women with obesity. An animal study involved 60 virgin female Sprague Dawley rats fed a normal diet or a high-fat diet (HFD) for 8 weeks, with the latter diet divided into HFD + saline, HFD + liraglutide, and HFD + semaglutide for 4 weeks. Rats were mated and then sacrificed on gestational day 21.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Clinically, prepregnancy GLP-1RA use reduced prepregnancy BMI, gestational weight gain, ratio with first-trimester metabolic dysfunction-associated steatotic liver disease, and triglyceride levels during pregnancy. In animals, GLP-1RA improved plasma fibroblast growth factor 21 (FGF21), adiponectin, triglyceride levels, and leptin in midgestation. During late gestation, compared with the HFD group, the GLP-1RA groups exhibited improved liver lipid deposition, increased fatty acid oxidation and lipolysis genes, decreased lipogenesis genes, and increased extracellular signal-regulated kinase (ERK)/peroxisome proliferator-activated receptor γ (PPAR-γ) and AMP-activated protein kinase (AMPK)/NAD-dependent protein deacetylase sirtuin-1 (SIRT1) pathways in liver; in the visceral adipose, the GLP-1RA groups showed increased lipolysis genes, decreased lipogenesis genes, and increased phosphorylated to total fibroblast growth factor receptor 1 (FGFR1) with activated ERK/PPAR-γ pathways.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Prepregnancy GLP-1RA use improves maternal lipid metabolism during pregnancy, potentially involving elevated liver-secreted FGF21. This study offers a new strategy for treating lipid metabolic disorders in pregnancy.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 8","pages":"1504-1517"},"PeriodicalIF":4.2,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602685","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":"Long-acting PYY3−36 analogue with semaglutide for obesity: from preclinical assessment through randomized clinical studies","authors":"Birgitte S. Wulff,&nbsp;Adam Paul Chambers,&nbsp;Cynthia Karenina Osorto Contreras,&nbsp;Katrine Kirkeby,&nbsp;Anders Rasmussen Rinnov,&nbsp;Riia K. Sustarsic,&nbsp;Søren Østergaard,&nbsp;John E. Laabs,&nbsp;Patrick M. O'Neil","doi":"10.1002/oby.24329","DOIUrl":"10.1002/oby.24329","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The hormone peptide YY (PYY; cleaved into Y₂-selective form PYY_3-36) is an attractive candidate for use as a complementary pharmacotherapy for obesity along with glucagon-like peptide-1 (GLP-1) receptor agonists. This series of studies investigated a novel long-acting PYY_3-36 analogue (PYY1875) alone and as an add-on to semaglutide for treatment of obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Weight loss and food intake were first investigated in obese male rats, followed by phase 1 and 2 clinical studies investigating efficacy, safety, tolerability, pharmacokinetics, and pharmacodynamics of PYY1875 as monotherapy and in combination with semaglutide in participants with overweight or obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>PYY1875 induced additional body weight loss in semaglutide-treated obese rats. In the phase 1 study, all doses of PYY1875 alone and coadministered with semaglutide were tolerated. In the phase 2 study, a modest but not clinically meaningful treatment effect of PYY1875 1.0 mg versus placebo as an add-on to semaglutide 2.4 mg was observed. However, gastrointestinal-related adverse events were common with the 1.0-mg PYY1875 dose, and the 2.0-mg PYY1875 dose escalation regimen was not tolerated (both as add-ons to semaglutide).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>PYY1875 showed modest efficacy as an add-on to semaglutide for weight management in people with obesity, but the treatment was not well tolerated.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 8","pages":"1457-1474"},"PeriodicalIF":4.2,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24329","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144593286","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 mLIFE randomized trial examining the impact of gamifying social support provision for weight loss","authors":"Gabrielle M. Turner-McGrievy,&nbsp;Diana Carolina Delgado-Díaz,&nbsp;Kelli E. DuBois,&nbsp;Halide Zeynep Aydin,&nbsp;Courtney M. Monroe,&nbsp;Yesil Kim,&nbsp;James Hardin,&nbsp;Sara Wilcox,&nbsp;Homayoun Valafar","doi":"10.1002/oby.24330","DOIUrl":"10.1002/oby.24330","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The Mobile Lifestyle Intervention for Food and Exercise (mLIFE) study was a 12-month mobile weight loss intervention examining social gaming to promote social support.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Adults with overweight or obesity (<i>n</i> = 243) were randomized to the mLIFE + points (received points for social support activities) or mLIFE group (blinded to points). Weight was measured via Fitbit scales. Repeated-measures mixed models were used to conduct both an intent-to-treat analysis and an analysis among adherent participants (logged on to the mLIFE app ≥25% of study days).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Attrition was lower in the mLIFE + points group (22% vs. 41% in mLIFE; χ² = 9.8, <i>p</i> &lt; 0.01), and adherence was higher (61% vs. 42% in mLIFE; χ² = 7.6, <i>p</i> &lt; 0.01). None of the group × time interactions was significant for the intent-to-treat analysis except for total number of points earned at 12 months (mLIFE + points mean 605.9 [SE 203.2] vs. mLIFE mean 350.0 [SE 200.0]; <i>p</i> &lt; 0.01). The mLIFE + points participants lost a mean of 5.3 [SE 0.6] kg at 12 months (vs. mean 3.5 [SE 0.7] kg in mLIFE; <i>p</i> = 0.09). Among adherent participants (<i>n</i> = 127), mLIFE + points participants lost more weight (mean 7.3 [SE 0.8] kg) than mLIFE (mean 3.8 [SE 0.9] kg; <i>p</i> &lt; 0.01).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The use of points led to greater weight loss at 12 months, but only among adherent participants. Providing points for completing social support activities is a way to retain participants and increase engagement in a mobile intervention.</p>\u0000 \u0000 <div>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure>\u0000 </div>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 8","pages":"1447-1456"},"PeriodicalIF":4.2,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24330","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144593287","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 waiting game: when families decline – a brief commentary on delayed intervention in childhood obesity management","authors":"José G. B. Derraik,&nbsp;Paul L. Hofman","doi":"10.1002/oby.24347","DOIUrl":"https://doi.org/10.1002/oby.24347","url":null,"abstract":"&lt;p&gt;There is mounting global concern regarding childhood obesity, with 159 million children and adolescents aged 5 to 19 years classified as having obesity worldwide [&lt;span&gt;(1)&lt;/span&gt;]. In this context, the study by Jørgensen et al. [&lt;span&gt;(2)&lt;/span&gt;] investigated an important yet understudied question: whether the decision by caregivers not to engage in a family-centered lifestyle intervention affects the long-term weight trajectory in children with obesity.&lt;/p&gt;&lt;p&gt;It is commendable that Jørgensen et al. [&lt;span&gt;(2)&lt;/span&gt;] capitalized on Denmark's comprehensive national health registry infrastructure to follow up children without additional participant burden. The authors linked routine anthropometric measurements from mandatory school health checks with socioeconomic data for 713 children, enabling their longitudinal tracking (median, 3.6 years) [&lt;span&gt;(2)&lt;/span&gt;]. This approach minimized recall and selection biases when comparing body mass index (BMI) &lt;i&gt;z&lt;/i&gt; score changes in children whose families declined a lifestyle intervention versus those who were never invited, with both groups exhibiting similar but modest BMI reductions over time. The study also highlighted the complex role of socioeconomic factors. For example, higher parental education was associated with greater BMI &lt;i&gt;z&lt;/i&gt; score reduction in the group that declined participation, corroborating earlier Danish work linking lower parental education and higher rates of childhood overweight and obesity [&lt;span&gt;(3)&lt;/span&gt;]. This suggests that educational attainment may facilitate healthier behaviors and contribute to reduced risk of childhood obesity.&lt;/p&gt;&lt;p&gt;Nonetheless, as the authors note, classifying children into a no-intervention group leaves open the possibility that families differed in unmeasured ways, such as referral practices [&lt;span&gt;(4)&lt;/span&gt;], that may have influenced comparability between groups. For example, if clinicians were less likely to invite children perceived as lower risk, the no-intervention cohort could differ systematically from those whose families declined participation. Also, although the study [&lt;span&gt;(2)&lt;/span&gt;] benefited from Denmark's routine health checks, more than the mandated three assessments were recorded for many participants, i.e., more than one-half had four or more visits within a relatively short interval, suggesting a degree of additional monitoring that the authors themselves acknowledged. This could have fostered behavioral modifications independent of the formal intervention. The authors argued that these frequent contacts (primarily measurement-focused and not structured interventions) were unlikely to affect long-term weight trajectories in their study. However, regular interactions with primary care providers (especially in the context of active intervention) remain critical for sustainable behavioral change in pediatric obesity management [&lt;span&gt;(5)&lt;/span&gt;].&lt;/p&gt;&lt;p&gt;Furthermore, interpreting short-term changes (e.g., at 6 months) from lon","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 7","pages":"1215-1216"},"PeriodicalIF":4.2,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24347","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144519708","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}