ArticleNutrition & metabolism2022
Association between MRI-based visceral adipose tissues and metabolic abnormality in a Chinese population: a cross-sectional study.
Article in Nutrition & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- HDL-C and visceral adipose tissue as combined predictors of visceral fat changes following laparoscopic sleeve gastrectomy.BMC surgery · 2025Trial
- High triglyceride-glucose index and changes in triglyceride-glucose index are associated with an increased risk of hypogonadism in middle-aged Taiwanese men: a retrospective longitudinal study.Frontiers in endocrinology · 2026Article
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8 authors.
Funding
Abstract
backgroundPrevious studies have indicated that the deposition of abdominal adipose tissue was associated with the abnormalities of cardiometabolic components. The aim of this study was to examine the relationship of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and metabolic status and the different effects between males and females.
methodsThe 1388 eligible subjects were recruited in a baseline survey of metabolic syndrome in China, from two communities in Hangzhou and Chengdu. Areas of abdominal VAT and SAT were measured by magnetic resonance imaging (MRI). Serum total triglycerides (TG), high-density lipoprotein cholesterol (HDL-C) were measured by an automated biochemical analyzer. Metabolic abnormality (MA) was defined more than one abnormal metabolic components, which was based on the definition of metabolic syndrome (IDF 2005). Multiple logistic regression was used to calculate the odds ratios (ORs) and 95% confidence intervals (95%CI). Predictive value was assessed by area under the curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI), respectively.
resultsTheir mean age was 53.8 years (SD: 7.1 years), the mean body mass index (BMI) was 23.7 kg/m
conclusionsIn male, VAT and SAT could increase the risk of metabolic abnormalities both at BMI < 24 kg/m
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