{"title":"GLP-1 Receptor Analogs: Evidence Linking to Effect on Metabolic and Reproductive Functions in Patients with PCOS and Obesity.","authors":"Ozlem Celik, Dilek Yazici, Andreea Ciudin, Djuro Macut, Dragan Micic, Volkan Yumuk, Bulent Okan Yildiz","doi":"10.1159/000547055","DOIUrl":"10.1159/000547055","url":null,"abstract":"<p><strong>Background: </strong>Polycystic ovary syndrome (PCOS) is a multifaceted hormonal disorder that impacts both metabolic functions and reproductive health in women. PCOS pathophysiology is characterized by insulin resistance and chronic inflammation, which contribute to disrupted gonadotropin secretion, elevated androgen levels, and irregular ovulation. There is a bidirectional relationship between obesity and PCOS. Obesity contributes to the pathophysiology of PCOS, particularly by exacerbating insulin resistance - a core feature of the condition. Insulin resistance can lead to further weight gain and hinder successful weight loss.</p><p><strong>Summary: </strong>According to the latest international guidelines, improving insulin sensitivity and promoting weight loss are key strategies in the effective management of PCOS. GLP-1 receptor analogs (GLP-1 RAs) are a group of agents that are used in type 2 diabetes mellitus to regulate blood glucose levels, in addition to being indicated for weight loss in obesity. Thus, GLP-1 RAs may play a role in the management of PCOS, both due to weight loss effect and through pleiotropic effects like ameliorating insulin resistance, decreasing inflammation, and modulation of adiposity.</p><p><strong>Key messages: </strong>In light of these effects, this review aimed to perform a systematic search and narrative synthesis on the impact of GLP-1 receptor agonists (GLP-1 RAs) on the metabolic and reproductive outcomes in PCOS, with the goal of elucidating the mechanistic link between the action of GLP-1 RAs and the underlying pathophysiology of the condition.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"1-15"},"PeriodicalIF":4.7,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503748/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144760629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Causal Associations of Gestational and Perinatal Factors with the Risk of Childhood Obesity: A Mendelian Randomization Study.","authors":"Shuidi Lin, Fangfang Lin, Zhen Lin, Wenhong Cai, Yanli Ren","doi":"10.1159/000547280","DOIUrl":"10.1159/000547280","url":null,"abstract":"<p><strong>Introduction: </strong>This study was to explore the causal association between gestational and perinatal factors and the risk of childhood obesity based on two-sample Mendelian randomization (MR).</p><p><strong>Methods: </strong>The single-nucleotide polymorphisms (SNPs) associated with exposure were selected. MR Egger regression was used for the evaluation of the horizontal pleiotropy in SNPs. F-statistic reflects the strength of instrumental variables. Cochran's Q statistic was used to investigate the heterogeneity of SNPs. The primary MR method exploring the causal association between gestational and perinatal factors and the risk of childhood obesity was inverse variance weighted (IVW). Leave-one-out analysis was employed to identify whether the MR results were affected by single SNPs. Odds ratio (OR) and 95% confidence interval (CI) were imputed.</p><p><strong>Results: </strong>IVW indicated that birth weight was a risk factor for childhood body mass index (BMI) (OR = 1.347, 95% CI: 1.212-1.498) and childhood obesity (OR = 1.793, 95% CI: 1.300-2.473). Increased risk of childhood obesity was identified in mother with gestational diabetes (OR = 1.059, 95% CI: 1.006-1.116). Gestational diabetes was causally related to elevated childhood BMI. Gestational diabetes was causally related to elevated risk of childhood obesity (OR = 1.249, 95% CI: 1.044-1.495).</p><p><strong>Conclusions: </strong>Birth weight and gestational diabetes were causally related to childhood BMI and childhood obesity.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"1-18"},"PeriodicalIF":4.7,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503751/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144760627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obesity FactsPub Date : 2025-07-31DOI: 10.1159/000546855
Barbara McGowan, Andreea Ciudin, Jennifer L Baker, Luca Busetto, Dror Dicker, Gema Frühbeck, Gijs H Goossens, Matteo Monami, Benedetta Ragghianti, Paolo Sbraccia, Borja Martinez-Tellez, Euan Woodward, Volkan Yumuk
{"title":"Development of the European Association for the Study of Obesity (EASO) Grade-Based Framework on the Pharmacological Treatment of Obesity: Design and Methodological Aspects.","authors":"Barbara McGowan, Andreea Ciudin, Jennifer L Baker, Luca Busetto, Dror Dicker, Gema Frühbeck, Gijs H Goossens, Matteo Monami, Benedetta Ragghianti, Paolo Sbraccia, Borja Martinez-Tellez, Euan Woodward, Volkan Yumuk","doi":"10.1159/000546855","DOIUrl":"10.1159/000546855","url":null,"abstract":"<p><strong>Introduction: </strong>The aim of this study was to describe the design and methodological aspects of the upcoming European Association for the Study of Obesity (EASO) Framework for the Pharmacological Treatment of Obesity utilizing currently available evidence, which is grounded in a rigorous and transparent approach to evidence synthesis and guideline development.</p><p><strong>Methods: </strong>An expert panel of 13 members, selected by EASO, has developed the framework using the GRADE methodology to ensure transparent, evidence-based guideline development. Clinical questions were formulated using the population, intervention, comparator, outcomes (PICO) framework, focusing on the effectiveness and safety of European Medicines Agency-approved obesity management medications, including orlistat, naltrexone/bupropion, liraglutide, semaglutide, and tirzepatide. A comprehensive literature search is being conducted using Medline and Embase, including randomized controlled trials with a minimum duration of 48 weeks. Meta-analyses and network meta-analyses are planned to compare treatment effectiveness and safety profiles across various patient subgroups. The guidelines will target adults with a body mass index (BMI) ≥27 kg/m2 and at least one weight-related comorbidity or a BMI ≥30 kg/m2. The primary endpoint will be total body weight loss. Secondary outcomes include changes in body composition (i.e., fat mass, fat-free mass), metabolic improvements (i.e., glucose levels, HbA1c, lipid profile), remission of obesity-related comorbidities (i.e., type 2 diabetes, obstructive sleep apnea syndrome, metabolic dysfunction-associated steatotic liver disease, cardiovascular disease, and knee osteoarthritis), and improvements in mental health and quality of life. The methodological framework ensures that recommendations are tailored, evidence-based, and applicable across clinical settings.</p><p><strong>Conclusions: </strong>The EASO framework provides a structured and individualized approach to optimize pharmacological treatment for obesity. Its methodological rigor, based on GRADE and PICO, enhances the reliability, reproducibility, and clinical relevance of the guidelines. By integrating clinical efficacy, safety outcomes, and patient-specific factors, this framework offers solid, actionable guidance to support healthcare professionals in delivering high-quality, personalized obesity care.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"1-9"},"PeriodicalIF":4.7,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503508/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144760628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obesity FactsPub Date : 2025-07-25DOI: 10.1159/000547523
Osamu Horikawa, Maika Ikeda, Miwako Togawa, Yuta Koshikawa, Yasuhiro Watanabe, Yuka Takahashi, Taiki Nabekura, Daiji Nagayama, Kohji Shirai, Atsuhito Saiki
{"title":"Association of <italic>AOC3</italic> Expression in Visceral Adipose Tissue and Circulating Soluble Vascular Adhesion Protein-1 with Arterial Stiffness Assessed by Cardio-Ankle Vascular Index in Japanese Patients with Severe Obesity.","authors":"Osamu Horikawa, Maika Ikeda, Miwako Togawa, Yuta Koshikawa, Yasuhiro Watanabe, Yuka Takahashi, Taiki Nabekura, Daiji Nagayama, Kohji Shirai, Atsuhito Saiki","doi":"10.1159/000547523","DOIUrl":"10.1159/000547523","url":null,"abstract":"<p><strong>Introduction: </strong>Soluble vascular adhesion protein-1 (sVAP-1), which is identical to semicarbazide-sensitive amine oxidase (SSAO), contributes to oxidative stress and vascular dysfunction. The AOC3 gene that encodes VAP-1 is mainly expressed in vascular endothelial and smooth muscle cells, but AOC3 expression in adipose tissue and vascular implications remain unclear. The aim of this study was to investigate the association of adipose AOC3 expression and circulating sVAP-1/SSAO with arterial stiffness in patients with severe obesity.</p><p><strong>Methods: </strong>We studied 49 Japanese patients who underwent laparoscopic sleeve gastrectomy. AOC3 expression was measured in visceral and subcutaneous adipose tissues obtained during surgery. Circulating sVAP-1 concentration, SSAO activity, oxidative stress markers, and cardio-ankle vascular index (CAVI) were assessed. Correlation and multiple regression analyses were performed.</p><p><strong>Results: </strong>Serum sVAP-1 concentration correlated strongly with SSAO activity (rs = 0.683, p < 0.001) and was directly associated with CAVI. Visceral AOC3 Gene Index (AOC3 expression × visceral fat area) was independently associated with serum sVAP-1 concentration, whereas subcutaneous AOC3 expression was not. Subcutaneous fat area showed an inverse association with SSAO activity. In stratified analysis, patients with visceral-dominant obesity had higher CAVI, serum sVAP-1 concentration, and SSAO activity than those with subcutaneous-dominant obesity.</p><p><strong>Conclusions: </strong>Visceral fat-derived AOC3 expression correlates with serum sVAP-1 concentration that appears to contribute to arterial stiffness in obesity. In contrast, subcutaneous fat may be associated with reduced SSAO activity. These findings highlight the fat depot-specific role of adipose tissue in vascular health and implicate VAP-1 as a potential mediator of obesity-related atherosclerosis.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"1-10"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503703/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144732526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obesity FactsPub Date : 2025-07-25DOI: 10.1159/000547603
Stina Ingrid Alice Svensson, Sadia Saeed, Anne Hoffmann, Adhideb Ghosh, Christian Wolfrum, Mai Britt Dahl, Akin Cayir, Torunn Rønningen, Baoyan Bai, Tom Mala, Jon Adalstein Kristinsson, Peter Kovacs, Matthias Blüher, Tone Gretland Valderhaug, Yvonne Böttcher
{"title":"<italic>HOOK1</italic> Gene Expression and DNA Methylation in Obesity and Related Cardiometabolic Traits.","authors":"Stina Ingrid Alice Svensson, Sadia Saeed, Anne Hoffmann, Adhideb Ghosh, Christian Wolfrum, Mai Britt Dahl, Akin Cayir, Torunn Rønningen, Baoyan Bai, Tom Mala, Jon Adalstein Kristinsson, Peter Kovacs, Matthias Blüher, Tone Gretland Valderhaug, Yvonne Böttcher","doi":"10.1159/000547603","DOIUrl":"10.1159/000547603","url":null,"abstract":"<p><strong>Introduction: </strong>Accumulation of fat in omental visceral adipose tissue (OVAT) is strongly linked to metabolic diseases. Our recent findings show a distinct and more accessible chromatin landscape of the visceral depot compared to its subcutaneous counterpart. Based on integrated analysis of chromatin accessibility and transcriptomics, we identified previously unrecognised genes linked with obesity. Here, we performed in-depth analyses of one of the candidates, HOOK1, and tested for depot-specific gene expression, correlation with clinical traits and regulatory mechanisms including DNA methylation.</p><p><strong>Methods: </strong>We utilised intra-individually paired adipose tissue samples of human OVAT and subcutaneous adipose tissue (SAT) from our in-house cohort (N = 78). Gene expression was measured using real-time quantitative PCR and pyrosequencing was used to determine DNA methylation levels. Data were analysed for differential gene expression and DNA methylation differences between SAT and OVAT, along with correlation analyses with clinical variables related to obesity. Results were validated in adipose tissue samples from 1,618 donors of the Leipzig Obesity Biobank.</p><p><strong>Results: </strong>We observed consistently higher HOOK1 gene expression in OVAT compared to SAT and successfully confirmed this effect direction in several validation cohorts. We further identified that HOOK1 gene expression correlated with body mass index and hip circumference. We discovered a relationship between DNA methylation of the HOOK1 promoter with clinical variables important for liver function.</p><p><strong>Conclusion: </strong>Our data show that HOOK1 gene expression is adipose tissue depot-specific. We observed that gene expression and DNA methylation are correlated to clinical variables of obesity, suggesting that HOOK1 may play a role in obesity and its sequelae.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"1-15"},"PeriodicalIF":4.7,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503723/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144732527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obesity FactsPub Date : 2025-07-18DOI: 10.1159/000547452
Hye-Ryeong Jeon, Seo Eun Hwang, Jae Moon Yun, Su Hwan Cho, Soontae Kim, Yoon-Hee Kang, Hyun-Jin Kim, Jin-Ho Park
{"title":"Ambient Air Pollution Is Particularly Associated with Visceral Fat Accumulation in Men: A Large-Scale Korean Adult Study.","authors":"Hye-Ryeong Jeon, Seo Eun Hwang, Jae Moon Yun, Su Hwan Cho, Soontae Kim, Yoon-Hee Kang, Hyun-Jin Kim, Jin-Ho Park","doi":"10.1159/000547452","DOIUrl":"10.1159/000547452","url":null,"abstract":"<p><strong>Introduction: </strong>Long-term air pollution exposure is associated with obesity, but its impact on visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) distribution remains unclear. This study investigated the association between air pollution and abdominal fat indicators, including total adipose tissue, VAT, SAT, and the visceral-to-subcutaneous fat ratio (VSR), stratified by sex and obesity status based on body mass index (BMI).</p><p><strong>Methods: </strong>A total of 8,912 Korean adults who underwent health checkups at Seoul National University Hospital were included. Abdominal fat was measured using CT scans. Annual average air pollution exposure levels, including particulate matter ≤2.5 μm in diameter, particulate matter ≤10 μm in diameter (PM<sub>10</sub>), NO<sub>2</sub>, SO<sub>2</sub>, CO, and O<sub>3</sub>, were estimated using the Community Multiscale Air Quality model. Ambient air pollution exposure and abdominal adiposity-related traits were analyzed using multiple linear and logistic regression, stratified by sex.</p><p><strong>Results: </strong>Annual exposure to PM<sub>10</sub> and SO<sub>2</sub> was positively associated with VAT (PM<sub>10</sub>: β = 2.29, 95% CI: 0.53-4.04, p = 0.01; SO<sub>2</sub>: β = 4.19, 95% CI: 2.43-5.94, p < 0.001) and VSR (PM<sub>10</sub>: β = 0.03, 95% CI: 0.01-0.05, p = 0.001; SO<sub>2</sub>: β = 0.05, 95% CI: 0.03-0.07, p < 0.001) in men. These associations were stronger in men with high BMI, but no significant associations were found in women. Negative associations with SAT were observed for PM<sub>10</sub> (β = -1.94, 95% CI: -3.44 to -0.45, p = 0.01) and SO<sub>2</sub> (β = -2.47, 95% CI: -3.97 to -0.98, p = 0.001) in men and for PM<sub>10</sub> (β = -4.58, 95% CI: -7.23 to -1.93, p = 0.001) and SO<sub>2</sub> (β = -8.13, 95% CI: -10.78 to -5.48, p < 0.001) in women.</p><p><strong>Conclusion: </strong>Long-term exposure to air pollutants, including PM<sub>10</sub> and SO<sub>2</sub>, may have detrimental effects by increasing visceral fat accumulation and reducing beneficial subcutaneous fat, especially in men with obesity.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"1-12"},"PeriodicalIF":4.7,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503717/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144675392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obesity FactsPub Date : 2025-07-04DOI: 10.1159/000547108
Caren Sourij, Thomas Bergmair, Faisal Aziz, Harald Kojzar, Lisa Knoll, Martin Clodi, Peter Fasching, Andreas Krauter, Martin Schaffenrath, Susanne Kaser, Harald Sourij
{"title":"Prevalence of Undiagnosed Diabetes and Prediabetes according to Age and Obesity Status in Central Europe.","authors":"Caren Sourij, Thomas Bergmair, Faisal Aziz, Harald Kojzar, Lisa Knoll, Martin Clodi, Peter Fasching, Andreas Krauter, Martin Schaffenrath, Susanne Kaser, Harald Sourij","doi":"10.1159/000547108","DOIUrl":"10.1159/000547108","url":null,"abstract":"<p><strong>Introduction: </strong>Data on prevalence of prediabetes, a high-risk condition for developing diabetes and undiagnosed diabetes, are scarce for Central Europe and lacking for Austria. Hence, we report prevalence data for prediabetes and undiagnosed diabetes in relation to age and BMI categories over a period of 7 years.</p><p><strong>Methods: </strong>We conducted an analysis of two databases: the national health insurance health check-up data 2017-2023 and the cross-sectional AUSTRO-PROFIT cohort study in people undergoing health check-ups that collected more detailed clinical data and health-related quality of life. Prediabetes and undiagnosed diabetes were diagnosed using fasting glucose values according to the American Diabetes Association criteria.</p><p><strong>Results: </strong>We investigated 6,412,591 (3,556,116 females) entries of people without previously known diabetes undergoing health check-ups from 2017 to 2023 in Austria. The crude prevalence of prediabetes was 21.084% (95% CI: 21.048-21.119) and undiagnosed diabetes was 2.950% (95% CI: 2.936-2.963), with age-standardised prevalence of 19.709% (19.708-19.710) and 2.741% (2.740-2.742), respectively. Prevalence rates for both prediabetes and diabetes remained stable over the time period of 7 years. In the AUSTRO-PROFIT cohort (N = 620), the prevalence rates were comparable with health check-up data (26.6% for prediabetes and 3.4% for diabetes). Health-related quality of life was reduced in individuals with disturbed glucose metabolism.</p><p><strong>Conclusion: </strong>Prediabetes affects approximately one-fifth of the adult population undergoing health check-ups in Austria, while in 3% undiagnosed diabetes was detected. Both conditions are associated with reduced health-related quality of life and higher rates of comorbidities.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"1-10"},"PeriodicalIF":4.7,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12327948/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144575957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of Obesity on Metabolic Control in Type 2 Diabetes: Five-Year Trends of Turkish Nationwide Survey of Glycemic and Other Metabolic Parameters of Patients with Diabetes (TEMD Obesity Study, 2017-2022).","authors":"Sinem Kiyici, Ibrahim Demirci, Alper Sonmez, Cem Haymana, Meral Mert, Irfan Nuhoglu, Ilker Tasci, Serpil Salman, Ilhan Satman, Fahri Bayram, Volkan Demirhan Yumuk","doi":"10.1159/000547136","DOIUrl":"10.1159/000547136","url":null,"abstract":"<p><strong>Introduction: </strong>Türkiye has the highest obesity prevalence in Europe. Obesity not only causes type 2 diabetes mellitus (T2DM) but also impairs glycemic control in patients with T2DM. There is insufficient information about the demographic and clinical differences between individuals with T2DM who are living with or without obesity. The second TEMD survey across Türkiye investigated the latest overweight and obesity prevalence in patients with T2DM. The present study evaluated the 5-year changes in the prevalence, factors associated with an obesity diagnosis, and the association between obesity and metabolic control.</p><p><strong>Methods: </strong>Patients under follow-up in tertiary units specialized for diabetes care were consecutively enrolled. The sociodemographic, anthropometric, and clinical variables were recorded. Metabolic targets were defined as hemoglobin A1c <7%, home arterial blood pressure <135/85 mm Hg, or low-density lipoprotein cholesterol <100 mg/dL or <70 mg/dL or <55 mg/dL according to the risk factors or complications of patients. Metabolic target attainment rates were investigated across normal-weight, overweight, and obesity body mass index (BMI) classes.</p><p><strong>Results: </strong>The TEMD Obesity Study enrolled 4,935 patients with T2DM (age 58.9 ± 10.1 years; women 59.8%). The prevalence of overweight and obesity was 33.4% and 55.1%, respectively. Obesity was more frequent in women with T2DM than men (66.2% vs. 38.1%; p ≤ 0.001). From 2017 to 2022, the obesity rate decreased from 59.0% to 55.1%, while the overweight rate increased from 31.0% to 33.4%. As BMI class increased, the achievement of three metabolic targets decreased while the incidence of microvascular complications rose. Significant associations were found between obesity and sociodemographic characteristics (age, sex, education level) and lifestyle measures (diet, exercise, smoking) in multivariable logistic regression analysis.</p><p><strong>Conclusion: </strong>The TEMD Obesity study showed a decrease in obesity rates among patients with T2DM between 2017 and 2022. Also, the findings suggest that obesity poses an important barrier to the achievement of metabolic goals.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"1-10"},"PeriodicalIF":4.7,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503523/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144529094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obesity FactsPub Date : 2025-06-28DOI: 10.1159/000547165
Seung Hee Kim, Youn Huh, Chang Hee Jung, Hye Soon Park
{"title":"Cardiometabolic Diseases after Weight Gain and Its Associated Factors among Korean Adults: Using National Sample Cohort.","authors":"Seung Hee Kim, Youn Huh, Chang Hee Jung, Hye Soon Park","doi":"10.1159/000547165","DOIUrl":"10.1159/000547165","url":null,"abstract":"<p><strong>Introduction: </strong>Research on the incidence of diabetes, hypertension, and dyslipidemia resulting from weight gain remains limited. This study examined the association between weight gain and the occurrence of cardiometabolic diseases over a mean follow-up duration of 14.5 years, considering baseline BMI categories. Additionally, we analyzed the factors contributing to weight gain in Korean adults.</p><p><strong>Methods: </strong>We analyzed the incidence of type 2 diabetes, hypertension, and dyslipidemia according to weight gain using the Cox proportional hazards model and the associated factors of weight gain through multivariable logistic regression analysis among 66,603 adults aged 19-64 years, using data from the Korean National Health Insurance Service. Baseline body mass index (BMI) was classified into three categories: < 23, 23-24.9, and ≥ 25 kg/m2. BMI increase was categorized as < 0.3, 0.3-0.69, and ≥ 0.7 kg/m2/year.</p><p><strong>Results: </strong>The hazard ratios (HRs) and 95% confidence intervals (CIs) for cardiometabolic diseases increased in proportion to BMI and BMI increase. The HRs (95% CIs) ranged from 1.08 (1.01-1.16) to 2.77 (2.54-3.02) for type 2 diabetes, 1.14 (1.08-1.19) to 2.60 (2.43-2.78) for hypertension, and 1.08 (1.04-1.13) to 1.85 (1.73-1.99) for dyslipidemia. Even individuals with a normal weight who experienced greater weight gain were at a higher risk of cardiometabolic diseases. The cumulative incidence rates increased proportionally with BMI and BMI increase. Younger age and lower income were risk factors in both sexes, while not being obese, heavy drinking, current smoking, and no regular exercise were risk factors for weight gain in men.</p><p><strong>Conclusion: </strong>The management of weight gain, even in adults who do not have obesity, is necessary to prevent cardiometabolic diseases.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"1-15"},"PeriodicalIF":4.7,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12503718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144529093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Obesity FactsPub Date : 2025-06-28DOI: 10.1159/000547167
Adi Litmanovich, Amit Netzer, Avner Leshem, Andrei Keidar, Shai Meron Eldar, Guy Lahat, Adam Abu-Abeid
{"title":"Long-Term Outcomes of One-Anastomosis Gastric Bypass in Class IV and Class V Obesity: A Comparative Analysis with Sleeve Gastrectomy.","authors":"Adi Litmanovich, Amit Netzer, Avner Leshem, Andrei Keidar, Shai Meron Eldar, Guy Lahat, Adam Abu-Abeid","doi":"10.1159/000547167","DOIUrl":"10.1159/000547167","url":null,"abstract":"<p><strong>Introduction: </strong>Metabolic and bariatric surgery (MBS) is the most effective treatment for severe obesity. However, the optimal approach for patients with a BMI ≥ 50 kg/m2 remains unclear. This study compares the perioperative and long-term outcomes of one-anastomosis gastric bypass (OAGB) and sleeve gastrectomy (SG) in this high-risk population.</p><p><strong>Methods: </strong>A retrospective analysis of a prospectively maintained database was conducted, including all patients with BMI ≥ 50 kg/m2 who underwent OAGB or SG at a tertiary center between 2015 and 2024. Patients with previous MBS were excluded. Baseline characteristics, perioperative complications, weight loss outcomes, and resolution of obesity-related diseases were analyzed.</p><p><strong>Results: </strong>A total of 121 patients were included: 76 underwent SG, and 45 underwent OAGB. The mean preoperative BMI was higher, and the rate of men was lower in the SG group (55 ± 5.4 vs. 52.2 ± 2.7, p = 0.0009, and 38.2% vs. 60%, p = 0.024, respectively). Overall, 90-day postoperative complications did not differ between the groups (SG: 14.5% vs. OAGB: 11.1%, p = 0.78), nor did major complications rate (SG: 2.6% vs. OAGB: 0%, p = 0.53). One perioperative mortality was observed in the SG group (1.3%). At 5-year follow-up, OAGB patients showed significantly greater total weight loss (36.7 ± 11.3% vs. 27.1 ± 13%, p = 0.01). Conversion surgery trends were higher in SG (9.1% vs. 2.6%, p = 0.13), primarily for weight regain. Obesity-related disease resolution rates were high and comparable between groups except for hypertension resolution, which was higher in OAGB (p = 0.04).</p><p><strong>Conclusions: </strong>Both OAGB and SG are safe and effective for patients with BMI ≥ 50 kg/m2, providing substantial weight loss and disease improvement. In this study, OAGB was associated with higher weight loss outcomes. Larger multi-institutional studies are needed to confirm these findings.</p>","PeriodicalId":19414,"journal":{"name":"Obesity Facts","volume":" ","pages":"1-11"},"PeriodicalIF":4.7,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12334196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144529095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}