ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025
Prediction Value of Visceral Obesity Related Indices for Visceral Obesity in Chinese Patients with Type 2 Diabetes Mellitus.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2025. 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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2 citing papers in PubMed.
- Work engagement and its association with obesity and lifestyle factors in a large working population: a sex-stratified analysis.AIMS public health · 2026Article
- Interaction of triglyceride glucose index and weight-adjusted waist circumference index in the risk of diabetes: from a national cohort study.BMC endocrine disorders · 2025Article
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9 authors.
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Abstract
Purpose: Visceral obesity (VO) has a significant impact on the progression of type 2 diabetes mellitus (T2DM) and insulin resistance. This study aims to evaluate the correlation and predictive utility of visceral obesity-related indices in T2DM patients with VO. Patients and Methods: This study included 2438 Chinese patients with T2DM. Visceral fat area (VFA) was assessed using bioelectrical impedance analysis (BIA), with VFA ≥ 80 cm² defined as VO. Multifactor logistic regression analysis was used to explore the relationship between VO and various indices in T2DM patients, including the Chinese visceral adiposity index (CVAI), metabolic score for visceral fat (METS-VF), new visceral adiposity index (NVAI), visceral adiposity index (VAI), waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was used to evaluate the ability of these indices to screen for VO in T2DM subjects. Pearson correlation analysis was performed to analyze the correlation between these indices and VFA. Results: 1226 (50.29%) T2DM patients were found to have VO. The prevalence of VO was higher in males than in females. Among the total population, WC had the best predictive performance for VO (AUC=0.8833, optimal cutoff =90.05). CVAI was the best predictor for males (AUC=0.8837, optimal cutoff =117.39), while WC performed best in females (AUC=0.8733, optimal cutoff=87.25). Among individuals with normal WC, CVAI for males and METS-VF for females had the best predictive performance for VO. Conclusion: There exists a strong correlation between VO and its related indicators in patients with T2DM. WC, CVAI, and METS-VF are optimal predictive indices for VO in this patient population.
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