Metabolic syndrome and related disorders最新文献

{"title":"Relationship Between Improvement of Apnea-Hypopnea Index and Maxillofacial Morphology Following Laparoscopic Sleeve Gastrectomy.","authors":"Sei Matsuda, Yukinori Kuwajima, Tsuguo Nishijima, Hironori Yoshida, Naoto Sakurai, Takayuki Yamaguchi, Keisuke Hosokawa, Takenori Mineta, Mitsuru Izumisawa, Kazuro Satoh","doi":"10.1177/15578518251363192","DOIUrl":"10.1177/15578518251363192","url":null,"abstract":"<p><p><b><i>Purpose:</i></b> Obesity is the most important factor in obstructive sleep apnea (OSA). Even if metabolic surgery (MS) weight loss is achieved, the therapeutic effect has not been proven for OSA. This study compared the apnea-hypopnea index (AHI) before surgery (T0), 1 year after surgery (T1), and 2 years after surgery (T2), assuming that the effect of MS on the AHI is influenced by the ANB angle (formed by point A, nasion, and point B), which reflects the anteroposterior relationship between the maxilla and mandible. <b><i>Methods:</i></b> The study included 47 patients with a body mass index ≥35 kg/m² who underwent MS. To compare the AHI before and after surgery, we classified participants into three groups based on the ANB angle at the initial examination: skeletal Class I (>1° and <4°), II (≥4°), and III (≤1°). <b><i>Results:</i></b> The mean AHI of all participants was 56.8 events/hr at T0, 26.5 at T1, and 23.7 at T2. Both postsurgical values were significantly lower than the presurgical value at T0. The mean AHI in skeletal Class I was 19.1 at T1 and 15.1 at T2, which was a significant decrease compared with T0 (50.4). Although the mean AHI was 38.8 at T1 and 38.8 at T2 in the skeletal Class II, which were lower than that at T0 (65.9), no significant difference was observed. The mean AHI was 20.0 at T1 and 15.3 at T2 in the skeletal Class III, which were significantly decreased as compared with that at T0 (53.5). <b><i>Conclusion:</i></b> Measuring the ANB angle prior to surgery is useful for predicting the postoperative effect.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":"349-356"},"PeriodicalIF":1.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144732106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of Sleep Quality with Life's Essential 8 Cardiovascular Health Score and Metabolic Syndrome Among US Adults.","authors":"Zhi Lin, Nipith Charoenngam, Izzuddin M Aris","doi":"10.1089/met.2025.0033","DOIUrl":"10.1089/met.2025.0033","url":null,"abstract":"<p><p><b><i>Background:</i></b> Recent studies have identified a U-shaped association between sleep duration and both poor cardiovascular health (CVH) and metabolic syndrome (MetS). However, the extent to which sleep quality affects cardiometabolic health remains understudied. Here, we examined associations of sleep quality with CVH and MetS. <b><i>Methods:</i></b> In a nationally representative cross-sectional study of US adults (<i>n</i> = 3,293), we assessed sleep quality using the Pittsburgh Sleep Quality Index (PSQI), operationalized as a continuous score (range 0-23 points) and binary (good vs. poor sleep quality) variable. We derived CVH score (range 0-100 points) using the Life's Essential 8 construct, and defined MetS using the National Cholesterol Education Program Adult Treatment Panel III criteria. We examined associations via regression models, adjusting for sociodemographic and lifestyle factors. <b><i>Results:</i></b> In fully adjusted models, a 1-point higher PSQI score was associated with lower CVH scores (β -0.61; 95% CI -0.72, -0.51) and higher odds of MetS (OR 1.02; 95% CI 1.00, 1.03). Similarly, poor (vs. good) quality sleep was associated with lower CVH scores (β -4.1; 95% CI -5.4, -2.8) and higher odds of MetS (OR 1.27; 95% CI 1.04, 1.56). The associations with CVH score and MetS appeared to be driven primarily by health behaviors metrics and hypertriglyceridemia, respectively. No significant interactions were seen with age or gender. <b><i>Conclusions:</i></b> In this cross-sectional study, individuals with poor sleep quality were found to have worse CVH scores and higher odds of MetS. Future studies could explore whether strategies promoting better quality sleep would help improve CVH and prevent MetS.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":"357-365"},"PeriodicalIF":1.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144333456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Circulating Citrate is Elevated During Profound Hypothyroidism: An Observational Study.","authors":"Yakun Li, Mirthe H Links, Adrian Post, Margery A Connelly, Thera P Links, Robin P F Dullaart","doi":"10.1089/met.2025.0026","DOIUrl":"10.1089/met.2025.0026","url":null,"abstract":"<p><p><b><i>Purpose:</i></b> We conducted an observational study on how profound hypothyroidism affects circulating citrate, a potential biomarker of mitochondrial dysfunction linked to mortality. <b><i>Methods:</i></b> Sixteen differentiated thyroid carcinoma patients were first studied during hypothyroidism, <i>i.e.,</i> 4-6 weeks after total thyroidectomy, and subsequently after 20 weeks of thyroid hormone supplementation. 5 patients were also studied during euthyroidism, <i>i.e.,</i> before total thyroidectomy. Circulating citrate and total ketone bodies were measured by nuclear magnetic resonance spectroscopy. <b><i>Results:</i></b> During profound hypothyroidism (mean thyroid stimulating hormone [TSH] 106 ± 77 mU/L), circulating citrate was 72% higher (95% CI: 48%-96%), reaching 157 ± 48 µmol/L, compared to 93 ± 25 µmol/L during thyroid hormone administration (mean TSH 0.20 ± 0.53 mU/L). This increase remained significant after adjusting for estimated glomerular filtration rate (eGFR) (<i>P</i> < 0.001) and body mass index (BMI) (<i>P</i> < 0.001). Citrate during hypothyroidism was also higher compared to five euthyroid patients studied before total thyroidectomy (<i>P</i> = 0.014). Total ketone bodies did not significantly change during hypothyroidism (<i>P</i> = 0.62). <b><i>Conclusion:</i></b> Short-term profound hypothyroidism gives rise to a major increase in circulating citrate, also when adjusted for changes in eGFR and BMI, conceivably attributable to hypothyroidism-related mitochondrial dysfunction. It is suggested that thyroid function status should be taken into consideration when evaluating the association of circulating citrate with adverse health outcomes.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":"366-370"},"PeriodicalIF":1.7,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144333457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Frailty and Metabolic Syndrome on Mortality Among Older Adults: A Five-Year Prospective Cohort Study.","authors":"Neslihan Doğan, Sibel Akın, Ezgi Akandere Barlas, Neziha Özlem Deveci, Ayşe Adile Öktem, Yavuz Sultan Selim Akgül, Derya Koçaslan, Burcu Eren Cengiz, Selçuk Karakoyun, Emrullah Doğan","doi":"10.1177/15578518251371527","DOIUrl":"https://doi.org/10.1177/15578518251371527","url":null,"abstract":"<p><p><b><i>Background:</i></b> Frailty and metabolic syndrome (MetS) are common conditions in older adults and may share overlapping pathophysiological pathways that impact mortality. <b><i>Objectives:</i></b> We aimed to investigate the effect of frailty and MetS on mortality the older adults. <b><i>Methods:</i></b> This study included 1100 outpatients aged ≥60 years. We followed the participants for five years, during which 13.2% of them died. The status of MetS was assessed using the criteria established by the National Cholesterol Education Program Third Adult Treatment Panel. We evaluated frailty using the FRAIL scale. <b><i>Results:</i></b> Mean age was 71.57 ± 7.09 years. The frail group had a significantly higher mean age (73.13 ± 7.75) compared to the nonfrail (70.20 ± 6.23) and prefrail (70.86 ± 6.73) groups (<i>P</i> < 0.001). In all three groups, women made up the majority, but in the frail group (76.9%), there were significantly more women than other groups (<i>P</i> < 0.001). MetS was more prevalent in prefrail and frail groups compared to those who were nonfrail (nonfrail: %59.1, prefrail: %71, frail: %70.2) (<i>P</i> = 0.010). The frail group showed a higher frequency of cognitive impairment, depressive mood, malnutrition, and dependency. The overall mortality rate for the sample was 13.2%, as anticipated, the frail group has a significantly higher mortality rate (23.4%) compared to the other two groups (nonfrail: 5.3%, prefrail: 10.2%) (<i>P</i> < 0.001). The Cox proportional hazards model indicated that the frail group demonstrated an increased mortality risk over five years, even after adjusting for age, sex, and metabolic disorders (hazard ratio: 4.44, 95% confidence interval = 2.19-9.02, <i>P</i> < 0.001). <b><i>Conclusions:</i></b> Frailty was a more accurate predictor of mortality than MetS, regardless of age.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144959781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relationship Between Metabolic Syndrome and Kidney Stone Disease: A Cross-Sectional Study From the PERSIAN Guilan Cohort Study.","authors":"Saman Maroufizadeh, Farahnaz Joukar, Fateme Sheida, Sara Yeganeh, Ardalan Akhavan, Mohammadreza Naghipour, Fariborz Mansour-Ghanaei","doi":"10.1089/met.2024.0209","DOIUrl":"10.1089/met.2024.0209","url":null,"abstract":"<p><p><b><i>Background:</i></b> Based on the high prevalence of kidney stone disease (KSD) and its possible relationship with metabolic components, the aim of this study was to examine the associations of metabolic syndrome (MetS) and its components with KSD. <b><i>Methods:</i></b> This is a cross-sectional assessment of the Prospective Epidemiological Research Studies of Iranian Adults (PERSIAN) Guilan cohort study (PGCS), which includes 10,520 participants aged between 35 and 70 in northern Iran from 2014 to 2017. Demographic data and clinical characteristics were filled out. MetS was determined by the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) with the following criteria: hypertriglyceridemia, low high-density lipoprotein cholesterol (HDL-C), hypertension, abdominal obesity, and hyperglycemia. The association of self-reported KSD with MetS was examined using logistic regression analysis. Odds ratio (OR) and 95% confidence interval (CI) were calculated. <b><i>Results:</i></b> The prevalence of MetS and KSD was 41.8% and 15.6%, respectively. In the unadjusted model, MetS was associated with 18% increased odds of KSD (OR = 1.18, 95% CI: 1.06-1.31). This association remained significant after adjustment for some demographic characteristics (aOR = 1.30, 95% CI: 1.16-1.46). All MetS components except for low HDL-C were also associated with increased odds of KSD, after adjusting for some demographic variables. In addition, the odds of KSD increased with the number of MetS components, up to an almost 2.2-fold odds among subjects with all five MetS components. <b><i>Conclusion:</i></b> This study found that the risk of KSD increases with MetS as a whole, all MetS components except for low HDL-C, and the number of MetS components. Our study might provide evidence for individualized management of MetS for preventing KSD.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":"305-311"},"PeriodicalIF":1.7,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144266550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relationship Between Metabolic and Inflammatory Parameters at the Time of Diagnosis and Disease Stage and Prognosis in Patients with Pancreatic Cancer.","authors":"Hanife Usta Atmaca, Feray Akbas, Hatice Ozkul, Cigdem Usul Afsar, Ozlem Yılmaz","doi":"10.1089/met.2024.0210","DOIUrl":"10.1089/met.2024.0210","url":null,"abstract":"<p><p><b><i>Introduction:</i></b> Pancreatic ductal adenocarcinoma (PDAC) is an aggressive tumor often accompanied by various metabolic abnormalities both before and after clinical diagnosis. Diagnosis at advanced stages significantly increases mortality risk. This study aimed to investigate the potential relationship between metabolic and inflammatory parameters at the time of diagnosis and disease stage, and their impact on prognosis in patients with pancreatic cancer. <b><i>Materials and Methods:</i></b> A total of 89 patients (43.8% male, 56.2% female) diagnosed with PDAC were included in the retrospective, single-center study. Disease stages at diagnosis that were categorized as stages 1-2 (resectable) and stages 3-4 (locally advanced and metastatic), height, weight, accompanying diseases, body mass index (BMI), inflammatory parameters (C-reactive protein (CRP), neutrophil/lymphocyte ratio (NLR), and metabolic parameters (glucose, HbA1c %, triglyceride, High-Density Lipoprotein [HDL]-cholesterol, Low-Density Lipoprotein [LDL]-cholesterol) were recorded. These parameters were compared between early and advanced stage patients, and their effect on one-year survival was evaluated. <b><i>Results:</i></b> The mean age of the patients was 62.7 years; 45.1% of the patients were in stages 1-2, while 48.3% were in stage 4. The one-year overall mortality rate was 32.6%, and the mortality rate was 52.1% in advanced stage (stages 3-4) patients and 9.8% in early stage (stages 1-2) patients. Mean CRP and NLR levels were significantly higher in patients who died compared to those who survived (7.4 vs. 4.4, <i>p</i> = 0.001; <i>p</i> = 0.000, respectively). Mean HDL-cholesterol level was lower in patients who died compared to survivors (34 mg/dL vs. 47.2 mg/dL, <i>p</i> = 0.001). Mean fasting blood glucose and HbA1c levels were higher in patients who died compared to survivors (167 mg/dL vs. 135 mg/dL, 7.5% vs. 6.6%; <i>p</i> = 0.008; <i>p</i> = 0.037, respectively). There were no significant differences in gender, BMI, presence of co-morbidities, triglyceride, or LDL-cholesterol levels between the groups. <b><i>Conclusion:</i></b> Recognizing clinical biomarkers predicting prognosis in PDAC could significantly contribute to disease management.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":"312-318"},"PeriodicalIF":1.7,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144199583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sex Differences in Absolute Cardiovascular Risk Profiles Among Rural Midlife and Elderly Kenyans: Influence of Obesity, Physical Activity, Smoking, and Blood Pressure Control.","authors":"Jacob K Kariuki, Melinda Higgins, Moses Gitonga, Jordan Pelkmans, Simon Githui, Mary Wachira, Leah Gathogo, Cristina Molina Hidalgo, Vivien Wambugu, Samuel Kimani, Foster Osei Baah, Habtamu Abera, Lisa Thompson, Kirk Erickson","doi":"10.1177/15578518251358954","DOIUrl":"10.1177/15578518251358954","url":null,"abstract":"<p><p><b><i>Background:</i></b> Cardiovascular disease (CVD) will be the leading cause of mortality in Africa by 2030. Yet, little is known about the key drivers of CVD risk in the region. <b><i>Objective:</i></b> To examine the risk factors associated with CVD risk in a sample of rural midlife and elderly Kenyans. <b><i>Methods:</i></b> Cross-sectional study design. Data were collected following established protocols and included physical activity (PA), body mass index (BMI), waist circumference, blood pressure (BP), and self-reported medical history. Absolute CVD risk scores [Framingham risk scores (FRS)] were computed using non-lab-based Framingham algorithm. Descriptive and inferential statistics were used to evaluate factors associated with CVD risk scores and related sex-specific differences. <b><i>Results:</i></b> The sample (<i>N</i> = 102; mean age 59.8 ± 7.3 years; 57.8% female) was on average highly active (median 8891 steps/day) with 61.8% hypertension prevalence. Females versus males had higher BMI (29.2 vs. 24.8 kg/m²; <i>P</i> < 0.001) and central adiposity (84.8 vs. 18.6%; <i>P</i> < 0.001). However, they had lower systolic BP (129.3 vs. 138.3 mmHg; <i>P</i> = 0.032) and didn't smoke (0.0 vs. 11.6%; <i>P</i> = 0.012). Females also were 6.6 years younger (<i>P</i> < 0.001) and had fewer years of education (<i>P</i> < 0.001) and less PA (<i>P</i> = 0.046). Overall, 34.3% of the sample was at high risk of CVD (FRS ≥20%), but females had lower risk compared with males (median FRS 7.4 vs. 25.0%; <i>P</i> < 0.001). Higher CVD risk was associated with higher education (<i>P</i> < 0.001) and having adequate income (<i>P</i> = 0.048). When considering females separately, none of the sociodemographic characteristics or PA measures were associated with CVD risk, but for males, higher CVD risk was associated with higher education (<i>P</i> = 0.025) and lower PA (<i>P</i> = 0.009). <b><i>Conclusion:</i></b> Age, BMI, BP, and smoking partially explain sex differences in CVD risk burden. However, sex differences also exist with males being older with higher education-factors associated with higher CVD risk. More research is needed to examine factors associated with absolute CVD risk in females.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":"319-327"},"PeriodicalIF":1.7,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144608737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Triglyceride-Glucose Index and Its Relation to Metabolic Syndrome and Physical Fitness in Children.","authors":"Seamon Kang, Jiwoo Im, Minjeong Kang, Jeonghyeon Kim, Hyunsik Kang","doi":"10.1089/met.2025.0012","DOIUrl":"10.1089/met.2025.0012","url":null,"abstract":"<p><p><b><i>Background:</i></b> Triglyceride-glucose (TyG) index and its relationship with metabolic syndrome (MetS), physical activity (PA), and physical fitness in the pediatric population remain unclear. This cross-sectional study explored the mediating effect of central obesity and PA on the relationship between the TyG index and physical fitness in a pediatric population. <b><i>Methods:</i></b> A total of 614 Korean children (320 boys and 294 girls) aged 7-12 years participated in this study. MetS was defined as the continuous MetS risk value in the 4th quartile obtained by adding standardized scores for the syndrome components. PA was quantified using an accelerometer, and physical fitness was evaluated using composite scores for the endurance, strength, power, and flexibility domains. <b><i>Results:</i></b> Receiver operating characteristic curve analysis revealed that the TyG index outperformed body mass index (z = 3.005, <i>P</i> = 0.003) and the homeostasis assessment model for insulin resistance (z = 3.543, <i>P</i> = 0.001) in detecting the presence of MetS. Mediation analysis revealed that while the TyG index has a direct effect on composite physical fitness scores (β = -0.3832 and SE = -2.0942, 95% confidence interval, CI = -0.7426 to -0.0239), there was an indirect effect of the TyG index on physical fitness via vigorous PA (β = -0.0802 and SE = 0.0377) and waist-to-hip ratio (β = -0.1318, SE = 0.0509). <b><i>Conclusion:</i></b> The TyG index has a significant impact on physical fitness in the presence of the two mediators (β = <math><mo>-</mo></math>0.3832, SE = -2.0942, 95% CI = -0.7426 to <math><mo>-</mo></math>0.0239).</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":"289-296"},"PeriodicalIF":1.7,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144475758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between Obstructive Sleep Apnea and Regional Fat: A Cross-Sectional Analysis of National Health and Nutrition Examination Survey 2015-2018.","authors":"Tuzhi Wang, Guimei Zhang, Lei Tang, Yangfu Ou, Hongyao Li, Xiaotao Zhang, Yushan Chen, Jiyang Pan","doi":"10.1089/met.2025.0019","DOIUrl":"10.1089/met.2025.0019","url":null,"abstract":"<p><p><b><i>Purpose:</i></b> The relationship between regional fat and obstructive sleep apnea (OSA) remains poorly understood. This study seeks to explore the link between regional fat and OSA, utilizing data from the National Health and Nutrition Examination Survey (NHANES). <b><i>Methods:</i></b> This cross-sectional analysis used NHANES 2015-2018 data. OSA symptoms were assessed through sleep questionnaires. Regional fat mass (FM) was measured using dual-energy X-ray absorptiometry, including trunk, arm, leg, android, gynoid, and abdominal FM. The fat mass index (FMI) was calculated by dividing FM by the square of height. Logistic regression evaluated the association between regional FMI and OSA, with univariate and stratified analyses to identify potential effect modifiers. <b><i>Results:</i></b> A total of 3,099 participants were included, with 1,595 classified into the OSA group. Significant associations were found between OSA and several regional FMIs, including trunk, arm, leg, android, gynoid, and abdomen. These associations were consistent in males, and in females, leg and gynoid FMI were not linked to OSA. Stratified analyses by race revealed significant associations between OSA and regional FMI indices (trunk, arm, leg, android, gynoid, and abdominal FMI) in non-Hispanic Whites and between OSA and trunk, android, and abdominal FMI in other Hispanics. No associations were observed in the Mexican American or non-Hispanic Black groups. Stratification by body mass index (BMI) indicated distinct profiles: obese individuals (BMI ≥30) showed associations limited to trunk, arm, android, and abdominal FMIs, while nonobese participants (BMI <30) displayed broader associations encompassing all regional FMIs. Both univariate and stratified analyses highlighted abdominal FMI as the strongest predictor of OSA. <b><i>Conclusion:</i></b> Higher regional FMI, particularly abdominal fat, is associated with an increased risk of OSA, with stronger associations observed in male, White, and nonobese populations.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":"297-304"},"PeriodicalIF":1.7,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comparative Evaluation of Adiposity Indices for Predicting Visceral Adipose Tissue Magnitude: Insights from NHANES 2011-2018.","authors":"Cundullah Torun, Handan Ankaralı","doi":"10.1089/met.2025.0005","DOIUrl":"10.1089/met.2025.0005","url":null,"abstract":"<p><p><b><i>Background and Aims:</i></b> Visceral adipose tissue (VAT) is a key cardiometabolic risk factor. This study evaluates the association between VAT and adiposity indices and identifies reliable predictors of increased VAT. <b><i>Methods:</i></b> This cross-sectional study utilized data from 4696 participants in the National Health and Nutrition Examination Survey 2011-2018. VAT was measured via dual-energy X-ray absorptiometry. Adiposity indices included body mass index (BMI), waist circumference (WC), lipid accumulation product, visceral adiposity index, body shape index, body roundness index, and metabolic score for visceral fat (METS-VF). Correlation analysis, receiver operating characteristic curve analysis, and multivariate adaptive regression splines (MARS) modeling evaluated the performance of indices and identified key predictors of VAT. <b><i>Results:</i></b> All adiposity indices were significantly correlated with VAT (<i>P</i> < 0.001). Among them, METS-VF demonstrated the highest predictive performance for increased VAT (>130 cm²) followed by WC. Optimal cutoff values for METS-VF were 7.1 [areas under the curve (AUC): 0.887, 95% confidence interval (CI): 0.873-0.899] in men and 7.5 (AUC: 0.904, 95% CI: 0.891-0.916) in women. For WC, the cutoff values were 99.5 cm (AUC: 0.866, 95% CI: 0.851-0.879) in men and 96 cm (AUC: 0.883, 95% CI: 0.869-0.896) in women. MARS modeling identified race, age, WC, BMI, glucose, high-density lipoprotein cholesterol, and triglycerides as significant predictors of VAT, achieving an <i>R</i>² of 75.2%. <b><i>Conclusion:</i></b> METS-VF demonstrated the highest predictive value among the indices evaluated for predicting increased VAT. It may serve as a valuable tool in assessing visceral obesity and associated cardiometabolic risks.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":"260-269"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143803688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}