ArticleFrontiers in endocrinology2024
Prediction of visceral adipose tissue magnitude using a new model based on simple clinical measurements.
Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Opportunistic screening for incident cardiometabolic disease in metabolically healthy non-obese individuals: a prospective cohort study.Cardiovascular diabetology · 2026Article
- Association analysis of metabolic score for visceral fat with cardiovascular disease: a prospective cohort study based on the China health and retirement longitudinal study.Cardiovascular diagnosis and therapy · 2026Article
- Association between METS-VF and hypertension in U.S.: a cross-sectional analysis of NHANES data.Scientific reports · 2026Article
- The impact of sex on the efficacy of anti-TNF-α therapy in Crohn's disease patients with different visceral adipose tissue levels.Scientific reports · 2026Article
- Predicting metabolic syndrome in adolescents from device-measured 24-h movement behaviors: a machine learning approach.Frontiers in public health · 2026Article
- Visceral Adiposity Index in Relation to Rotterdam Phenotypes of Polycystic Ovary Syndrome.Biomedicines · 2025Article
- Association between visceral fat area and metabolic syndrome in individuals with normal body weight: insights from a Chinese health screening dataset.Lipids in health and disease · 2025Article
- The association between visceral fat metabolic score and stroke: mediation by declining kidney function.Diabetology & metabolic syndrome · 2025Article
- Article
- Association between weight-adjusted-waist index and the prevalence of gallstone disease in Minhang District, Shanghai: a cross-sectional study.Journal of health, population, and nutrition · 2025Article
- Association of Metabolic Score for Visceral Fat (METS-VF) with Gout Risk in Patients with Hypertension and Hyperuricemia: A Multicenter Study Based on the Chinese Population.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
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Authors and funding
10 authors.
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Abstract
Aims: Waist circumference (WC) is a reliable obesity surrogate but may not distinguish between visceral and subcutaneous adipose tissue. Our aim was to develop a novel sex-specific model to estimate the magnitude of visceral adipose tissue measured by computed tomography (CT-VAT). Methods: The model was initially formulated through the integration of anthropometric measurements, laboratory data, and CT-VAT within a study group (n=185), utilizing the Multivariate Adaptive Regression Splines (MARS) methodology. Subsequently, its correlation with CT-VAT was examined in an external validation group (n=50). The accuracy of the new model in estimating increased CT-VAT (>130 cm Results: The new model comprised WC, gender, BMI, and hip circumference, providing the highest predictive accuracy in estimating increased CT-VAT in men (AUC of 0.96 ± 0.02), outperforming other indices. In women, the AUC was 0.94 ± 0.03, which was significantly higher than that of VAI, WHR, and ABSI but similar to WC, BMI, LAP, BRI, and METS-VF. It's demonstrated high ability for identifying metabolic syndrome with an AUC of 0.76 ± 0.03 (p<0.001). Conclusion: The new model is a valuable indicator of CT-VAT, especially in men, and it exhibits a strong predictive capability for identifying metabolic syndrome.
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