Obesity最新文献

{"title":"Obesity and postpartum hospital use among individuals without additional medical comorbidities","authors":"Kimberly B. Glazer,&nbsp;Teresa Janevic,&nbsp;Natalie Boychuk,&nbsp;Natalia Egorova,&nbsp;Paul Hebert,&nbsp;Jennifer Zeitlin,&nbsp;Elizabeth A. Howell","doi":"10.1002/oby.24167","DOIUrl":"10.1002/oby.24167","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The objective of this study was to examine whether obesity without preexisting or gestational comorbidities is associated with postpartum hospital use (PHU).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We studied 2016 to 2018 birth certificate and discharge data on 178,729 New York City births without <i>International Classification of Diseases, Tenth Revision</i> (ICD-10) codes at delivery for diabetes; hypertension; placental disease; anemia; thyrotoxicosis; bariatric surgery; and pulmonary, cardiac, renal, bleeding, autoimmune, digestive, neuromuscular, mental, or substance-use disorders. We defined PHU as ≥1 readmission or emergency department visit within 30 days of delivery discharge. We used ICD-10 codes to specify postpartum hypertension, infection, or hemorrhage during PHU (i.e., “cause-specific PHU”) because these are leading mortality causes. We examined associations between prepregnancy BMI and PHU using multivariable logistic regression.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>PHU incidence was 3.7% for those with normal weight, 5.1% for those with overweight, 6.3% for those with class 1 or 2 obesity, and 9.1% for those with class 3 obesity. A positive association persisted after adjustment. Obesity was associated with cause-specific PHU of postpartum hypertension (adjusted odds ratio [aOR]: 2.2, 95% confidence limits [CL]: 1.8–2.7, normal weight referent) and wound infection (aOR: 1.5, 95% CL: 1.2–1.8), but not hemorrhage (aOR: 0.9, 95% CL: 0.7–1.3), mastitis, or genitourinary infection (aOR: 1.1, 95% CL: 0.9–1.3).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Among individuals without other comorbidities, elevated BMI was associated with PHU. Findings can inform obstetric management to reduce morbidity during the critical fourth trimester.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 1","pages":"146-155"},"PeriodicalIF":4.2,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142879415","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":"GLP1Ra-based therapies and DXA-acquired musculoskeletal health outcomes: a focused meta-analysis of placebo-controlled trials","authors":"Kristen M. Beavers,&nbsp;Tiffany M. Cortes,&nbsp;Colleen M. Foy,&nbsp;Lauren Dinkla,&nbsp;Fernando Reyes San Martin,&nbsp;Jamy D. Ard,&nbsp;Monica C. Serra,&nbsp;Daniel P. Beavers","doi":"10.1002/oby.24172","DOIUrl":"10.1002/oby.24172","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The objective of this study was to evaluate the effect of glucagon-like peptide-1 receptor agonist (GLP1Ra)-based therapies on change in dual-energy x-ray absorptiometry (DXA)-acquired lean mass (LM) or bone mineral density (BMD).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>PubMed and Web of Science were searched from database inception through January 29, 2024, for randomized, placebo-controlled trials reporting on change in DXA-acquired LM or BMD measures associated with 12+ weeks of GLP1Ra-based treatment. Of 2618 articles, 9 trials met prespecified search criteria, with 7 reporting on change in total body LM and 2 reporting on change in BMD. For LM outcomes, a hierarchical Bayesian model was used to estimate treatment mean differences. BMD outcomes were described narratively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>LM was reported in a total of 659 participants (GLP1Ra-based therapies: <i>n</i> = 419; placebo: <i>n</i> = 240), with follow-up times ranging from mean (SD) 12 to 72 (33.5) weeks. At baseline, participants were aged mean (SD) 41.7 (7.6) years, and 75% were female, with BMI values ranging from 30 to 43 kg/m². Compared with placebo, GLP1Ra-based treatment was associated with significantly reduced total body weight (−6.9 kg; 95% credible interval [CI]: −10.7 to −3.0). GLP1Ra-based treatment was also associated with significantly reduced LM (−1.9 kg; 95% CI: −3.5 to −0.2).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Approximately 30% of body weight lost with GLP1Ra-based therapy is LM. More data are needed assessing BMD outcomes.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 2","pages":"225-237"},"PeriodicalIF":4.2,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11774015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142879396","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":"Contemporary treatment patterns of overweight and obesity: insights from the Mass General Brigham health care system","authors":"John W. Ostrominski,&nbsp;Kavishwar B. Wagholikar,&nbsp;Kelly Olsson,&nbsp;Ozan Unlu,&nbsp;David Zelle,&nbsp;Sanjay Kumar,&nbsp;Austen M. Smith,&nbsp;Joshua C. Toliver,&nbsp;Wojciech Michalak,&nbsp;Anthony Fabricatore,&nbsp;Bríain Ó. Hartaigh,&nbsp;Heather J. Baer,&nbsp;Christopher P. Cannon,&nbsp;Caroline M. Apovian,&nbsp;Naomi D. L. Fisher,&nbsp;Jorge Plutzky,&nbsp;Benjamin M. Scirica,&nbsp;Alexander J. Blood","doi":"10.1002/oby.24186","DOIUrl":"10.1002/oby.24186","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The objective of this study was to describe the prevalence of obesity, obesity-related conditions (ORCs), and antiobesity medication (AOM) eligibility and prescribing practice among eligible patients in a large health care system.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this cross-sectional analysis of the multicenter Mass General Brigham health care system (Boston, Massachusetts) spanning 2018 to 2022, adults eligible for AOMs (BMI ≥ 30 kg/m² or BMI 27–29.9 kg/m² with ≥1 ORC) were identified. Among those AOM-eligible, the prevalence of prescriptions for AOMs approved for long-term weight management was evaluated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Of 2,469,474 adults (mean [SD], age 53 [19] years; 57% female; BMI 28.1 [6.3] kg/m²), a total of 1,110,251 (45.0%) were eligible for AOMs. Of these, 69.4% (31.2% of overall cohort) had BMI ≥ 30 kg/m². AOM prescription was observed in 15,214 (1.4%) of all eligible patients, with female sex, younger age, higher BMI, commercial insurance, and greater ORC burden associated with higher prevalence of AOM prescriptions. Musculoskeletal disorders (54%) were the most common ORCs, with ≥2 ORCs observed in 62% of patients. Liraglutide 3.0 mg and semaglutide 2.4 mg were the most frequently prescribed AOMs (58% and 34% of all AOMs, respectively).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Although nearly one-half of all patients in a large health care system were AOM-eligible by guidelines and regulatory labeling, only 1% of those who were eligible were prescribed AOMs.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 2","pages":"365-384"},"PeriodicalIF":4.2,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11774016/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142857421","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 various associations between whole /regional fat mass and trajectory of cardiometabolic diseases: a nonlinear multistate model","authors":"Xinming Xu,&nbsp;Yi Guo,&nbsp;Lili Huang,&nbsp;Berty Ruping Song,&nbsp;Dan Chen,&nbsp;Fangfang Weng,&nbsp;Xueying Zheng,&nbsp;Yu Wen,&nbsp;Zhenyu Wu,&nbsp;Xiang Gao,&nbsp;Liang Sun","doi":"10.1002/oby.24185","DOIUrl":"10.1002/oby.24185","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aimed to investigate the association of whole body/regional fat mass (FM) with cardiometabolic disease (CMD) trajectory.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a prospective analysis using the UK Biobank. The FM index (FMI), a surrogate for whole body FM, and regional FM (i.e., arm, leg, and trunk) were examined as exposures. A nonlinear multistate framework was used to evaluate the association  between whole/regional FM and CMD trajectory.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Among the 423,966 participants (mean age 56.1 [SD 8.10] years, 43.9% men) with a median follow-up of 13.5 years, varied associations were identified between whole/regional FM and transitions in the CMD trajectory. Upper body FM (i.e., arm and trunk) exhibited significant positive J-shaped associations in the transitions from first CMD (FCMD) or cardiometabolic multimorbidity to death; however, FMI and leg FM demonstrated L-shaped associations. Leg FM played a beneficial role in the transition from FCMD to death, with a hazard ratio of 0.950 (95% CI: 0.931–0.968) per 1 kg.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Body fat composition and distribution revealed various associations with CMD trajectory, highlighting their clinical importance. Upper body FM among those participants with FCMD or cardiometabolic multimorbidity demonstrated positive J-shaped associations toward death, providing no evidence of the “obesity paradox.”</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 1","pages":"198-208"},"PeriodicalIF":4.2,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142840675","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":"Psychological attributes and eating behaviors in 5- to 12-year-old children during periods of stress","authors":"Cecilia Sena,&nbsp;Julia Della Torre,&nbsp;Eshita Garg,&nbsp;Hao Zheng,&nbsp;Ivette Partida,&nbsp;Shaleen K. Thaker,&nbsp;Jennifer Woo Baidal,&nbsp;Deborah V. Shamsian,&nbsp;John C. Rausch,&nbsp;Vidhu V. Thaker","doi":"10.1002/oby.24197","DOIUrl":"10.1002/oby.24197","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>The objective of this study was to investigate the association between psychological attributes and obesogenic behaviors in children during the period of COVID-19 pandemic-induced stress.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This observational study collected data from caregivers of 5- to 12-year-old children from three diverse groups assessing sociodemographic, economic, and perceived stress, along with the Strengths and Difficulties Questionnaire (SDQ) and the Family Eating and Activity Habits Questionnaire, revised (FEAHQ-R), in October 2020 and June 2021. The outcome measures were SDQ and FEAHQ-R scores. The SDQ subscales were compared with US child norms. Linear mixed models were used to examine the association between the SDQ subscales and FEAHQ-R domains, adjusting for socioeconomic covariates.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 361 families (496 children) completed the SDQ and FEAHQ-R. The SDQ subscale scores were higher than those of age/gender norms (<i>p</i> = 0.006–&lt;0.001). Eating style (<i>p</i> &lt; 0.001) and food stimulus exposure scores (<i>p</i> = 0.005–0.01) were associated with the SDQ subscales, but not satiety response. Perceived stress was a significant covariate (<i>p</i> &lt; 0.01). The baseline obesity status of the children was not statistically significant.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Psychological stress is associated with higher hedonic behavior in children. Food stimulus exposure and leisure access can be targeted for intervention during periods of prolonged stress.</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 1","pages":"134-145"},"PeriodicalIF":4.2,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24197","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142840633","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":"Response to the Letter to the Editor by Athinarayanan","authors":"Jaime P. Almandoz,&nbsp;Thomas A. Wadden,&nbsp;Colleen Tewksbury,&nbsp;Caroline M. Apovian,&nbsp;Angela Fitch,&nbsp;Jamy D. Ard,&nbsp;Zhaoping Li,&nbsp;Jesse Richards,&nbsp;W. Scott Butsch,&nbsp;Irina Jouravskaya,&nbsp;Kadie S. Vanderman,&nbsp;Lisa M. Neff","doi":"10.1002/oby.24191","DOIUrl":"10.1002/oby.24191","url":null,"abstract":"&lt;p&gt;&lt;b&gt;TO THE EDITOR:&lt;/b&gt; We thank Dr. Athinarayanan for her interest in our review [&lt;span&gt;(1)&lt;/span&gt;] and appreciate the opportunity to respond.&lt;/p&gt;&lt;p&gt;We agree that patients face many challenges maintaining long-term body weight reduction, including widespread misconceptions regarding the long-term effectiveness of lifestyle interventions for obesity, along with the body's physiological response to weight loss, which can lead to reduced energy expenditure and increased appetite [&lt;span&gt;(2)&lt;/span&gt;]. Limited access to treatment is also a barrier to successful long-term weight management [&lt;span&gt;(3)&lt;/span&gt;]. However, we dispute Dr. Athinarayanan's suggestion that dietary carbohydrate restriction (or any other lifestyle intervention) is a proven, effective strategy for weight maintenance after treatment with antiobesity medications (AOMs). Evidence from numerous randomized controlled trials (RCTs) shows that, even with ongoing lifestyle counseling, weight regain is typically observed after AOM cessation [&lt;span&gt;(1)&lt;/span&gt;]. Accordingly, long-term use of pharmacotherapy is recommended for weight maintenance [&lt;span&gt;(1)&lt;/span&gt;]; therefore, weight management after deprescription was outside of the scope of our review.&lt;/p&gt;&lt;p&gt;Our review recommended a variety of healthy dietary patterns for patients treated with AOMs and highlighted the importance of individualized lifestyle goals. A low-carbohydrate diet was not excluded from our recommendations, and we provided guidance for clinicians whose patients prefer this dietary pattern. However, when considering the potential impacts of dietary patterns on long-term health outcomes such as cardiovascular disease and mortality, there is more evidence to support a recommendation for moderate-carbohydrate dietary patterns such as the Mediterranean and healthy plant-based diets [&lt;span&gt;(1, 4)&lt;/span&gt;]. Indeed, we feel that the strength of the evidence to specifically recommend a low-carbohydrate dietary pattern is low. The carbohydrate-insulin model is an interesting but controversial theoretical model that is challenged by scientific evidence that supports alternate theories of obesity pathophysiology [&lt;span&gt;(2, 5)&lt;/span&gt;]. As evidence of the efficacy of low-carbohydrate dietary patterns on weight maintenance, Dr. Athinarayanan cites nonrandomized studies, including a report from the National Weight Control Registry, a prospective cohort study of individuals who, prior to study entry, had maintained a weight reduction of at least 30 lb for 1 year or more. Of note, only 11% of registry participants reported losing weight with a low-carbohydrate dietary approach [&lt;span&gt;(6)&lt;/span&gt;]. We appreciate the work of Dr. Athinarayanan and colleagues, which includes descriptive, nonrandomized studies of outcomes among patients with type 2 diabetes who self-selected a telehealth-based continuous care program leveraging a low-carbohydrate dietary pattern [&lt;span&gt;(7, 8)&lt;/span&gt;]. We also appreciate their recent retrospective analysis of th","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 1","pages":"9-11"},"PeriodicalIF":4.2,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664299/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142831595","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":"Response to “Nutritional considerations with antiobesity medications”","authors":"Shaminie J. Athinarayanan","doi":"10.1002/oby.24187","DOIUrl":"10.1002/oby.24187","url":null,"abstract":"","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 1","pages":"7-8"},"PeriodicalIF":4.2,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142815399","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":"DNA methylation in cord blood partially mediates the effects of prepregnancy BMI on early childhood offspring BMI","authors":"Alice Maguolo,&nbsp;Josefine Jönsson,&nbsp;Alexander Perfilyev,&nbsp;Marlena Maziarz,&nbsp;Allan Vaag,&nbsp;Emma Malchau Carlsen,&nbsp;Kirsten Nørgaard,&nbsp;Paul W. Franks,&nbsp;Kristina M. Renault,&nbsp;Charlotte Ling","doi":"10.1002/oby.24174","DOIUrl":"10.1002/oby.24174","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>We investigated whether prepregnancy BMI (prePregBMI) in women with obesity was associated with differential DNA methylation (DNAm) in cord blood (CB) and whether DNAm may mediate the association of prePregBMI and early childhood BMI <i>z</i> score (BMIz).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>From the Treatment of Obese Pregnant Women (TOP) study, 232 mother–child pairs were included. We conducted an epigenome-wide association study on prePregBMI and CB DNAm (450k array), followed by causal mediation analyses to test whether DNAm may mediate effects of prePregBMI on  BMIz at age 36 months (BMIz36).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>DNAm at 5345 CpG sites annotated to 2842 genes, which were overrepresented in biological processes linked to carbohydrate metabolism and plasma lipoprotein particle clearance, was associated with prePregBMI (false discovery rate &lt; 10%). Causal mediation analyses of 168 methylation sites associated with BMIz36 (<i>p</i> &lt; 0.05) and overlapping with the 5345 prePregBMI-associated sites identified two sites on <i>SYT7</i> and <i>DEAF1</i>, partially mediating the effect of prePregBMI on BMIz36 (<i>p</i> ≤ 0.01). After cross-validation, a methylation risk score including these two sites could predict the highest quartile of BMIz36 and fat mass (in grams) with area under the curve = 0.72 (95% CI: 0.58–0.85) and area under the curve = 0.71 (95% CI: 0.58–0.85), respectively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>CB DNAm at birth may partially mediate effects of prePregBMI on early childhood BMIz36, supporting its plausible role in influencing individual future obesity risk.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 1","pages":"177-189"},"PeriodicalIF":4.2,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11664306/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142815398","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":"Correction to “Early changes in the gut microbiota are associated with weight outcomes over 2 years following metabolic and bariatric surgery”","authors":"","doi":"10.1002/oby.24209","DOIUrl":"10.1002/oby.24209","url":null,"abstract":"<p>\u0000 <span>Steffen, KJ</span>, <span>Sorgen, AA</span>, <span>Fodor, AA</span>, et al. <span>Early changes in the gut microbiota are associated with weight outcomes over 2 years following metabolic and bariatric surgery</span>. <i>Obesity (Silver Spring)</i> <span>2024</span>; <span>32</span>: <span>1985</span>–<span>1997</span>.</p><p>On pages 1992 and 1995, panels from Figures 4 and 7 were inadvertently omitted. Below are the correct figures.</p><p>We apologize for this error.</p>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 2","pages":"422-423"},"PeriodicalIF":4.2,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/oby.24209","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142809005","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":"Daily glucose variability is associated with intrahepatic fat content, β cell sensitivity, and biomarkers of glycolysis in youth with obesity","authors":"Emiliano Barbieri,&nbsp;Jacopo Bonet,&nbsp;Delaney Fox,&nbsp;Rafaela Nelson,&nbsp;Michael B. Nelson,&nbsp;Loretta Nelson,&nbsp;Cristina Fernandez,&nbsp;Michelle Van Name,&nbsp;Stephanie Samuels,&nbsp;Sonia Caprio,&nbsp;Mohammad Sabati,&nbsp;Alfonso Galderisi,&nbsp;Jennifer Sherr,&nbsp;Chiara Dalla Man,&nbsp;Nicola Santoro","doi":"10.1002/oby.24175","DOIUrl":"10.1002/oby.24175","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>Pediatric obesity is associated with insulin resistance, which, in turn, impacts glucose and lipid metabolism. This study sought to assess how glucose variability relates to intrahepatic fat content, β cell insulin sensitivity, and glycolysis in youth with obesity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 27 youth with obesity (11 girls, BMI percentile, median [25th–75th percentiles]: 99.0 [97.9–99.0]) wore a continuous glucose monitoring device for 10 days and underwent a 3-h oral glucose tolerance test. β cell function was assessed using the oral minimal model, and liver proton density fat fraction was measured by magnetic resonance imaging.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Average sensor-derived glucose and glucose standard deviation (STDEV) and coefficient of variation (CV) were associated with liver proton density fat fraction (<i>p</i> = 0.0130, <i>p</i> = 0.0005, and <i>p</i> = 0.0028, respectively). First-phase insulin secretion, basal insulin secretion, and insulin sensitivity were associated with STDEV (<i>p</i> = 0.0344, <i>p</i> = 0.0091, and <i>p</i> = 0.0031, respectively) and CV (<i>p</i> = 0.0128, <i>p</i> = 0.0012, and <i>p</i> = 0.0022, respectively). STDEV and CV were also associated with 2-h glucose (<i>p</i> = 0.0067 and <i>p</i> = 0.0324, respectively) and plasma lactate (<i>p</i> = 0.0030 and <i>p</i> = 0.0123, respectively).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Daily glucose variability is associated with the degree of intrahepatic fat content, postprandial glucose, and plasma lactate concentrations.</p>\u0000 </section>\u0000 </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 1","pages":"116-124"},"PeriodicalIF":4.2,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142809017","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}