ArticleScientific reports2017
A Novel Visceral Adiposity Index for Prediction of Type 2 Diabetes and Pre-diabetes in Chinese adults: A 5-year prospective study.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 4 of them syntheses that pooled it.
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Who cites it
72 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Lipid biomarkers for the prediction of type 2 diabetes risk, an umbrella review and updated meta-analyses of prospective observational studies.Frontiers in endocrinology · 2026Pooled it
- Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis.The Journal of clinical endocrinology and metabolism · 2024Pooled it
- Association between visceral adiposity index and risk of prediabetes: A meta-analysis of observational studies.Journal of diabetes investigation · 2022Pooled it
- Development of type 2 diabetes mellitus in people with intermediate hyperglycaemia.The Cochrane database of systematic reviews · 2018Pooled it
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- Enriched Metabolic Phenotyping Refines Phenotypic Resolution of Type 2 Diabetes.Diabetes, obesity & metabolism · 2026Article
- Risk stratification for gallstones based on 14 obesity and lipid-related Indices: a longitudinal cohort study of 44,030 Chinese adults.Lipids in health and disease · 2026Article
- When Obesity Hits the Kidneys: Sex-Specific Effects of Visceral Adiposity Indices on Diabetic Kidney Disease Risk.Journal of nutrition and metabolism · 2026Article
- Association between CVAI-defined body composition phenotypes and prediabetes outcomes in Chinese adults undergoing health check-ups: a cross-sectional study.Frontiers in nutrition · 2026Article
- Evolving perspectives on evaluating obesity: from traditional methods to cutting-edge techniques.Annals of medicine · 2025Review
- The ability of anthropometric indices in detecting type 2 diabetes mellitus in Sudanese adults: a cross-sectional study.Scientific reports · 2025Article
- A prediction nomogram for mild cognitive impairment in type 2 diabetes mellitus based on the Chinese visceral adiposity index.Scientific reports · 2025Article
- Comparative analysis of 16 baseline obesity and lipid-related indices for cardiovascular disease risk prediction in adults with cardiovascular-kidney-metabolic syndrome stages 0-3: a nationwide prospective cohort study.Diabetology & metabolic syndrome · 2025Article
- Clinical significance of obesity measurement indicators and carotid artery plaques in type 2 diabetes.BMC cardiovascular disorders · 2025Article
- Development and validation of Galectin-3 and CVAI-based model for predicting cognitive impairment in type 2 diabetes.Journal of endocrinological investigation · 2025Article
- Association between obesity indexes and chronic kidney disease risk: a double-cohort prospective study in the Binhai and UK Biobank.Frontiers in endocrinology · 2025Article
- Association of novel obesity-related lipid markers with diabetes prevalence in high-risk middle-aged and older adults with cardiovascular diseases.Frontiers in public health · 2025Article
- Profile of Serum Bile Acids in Elderly Type 2 Diabetic Patients with Various Obesity Types: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Associations of obesity and novel lipid indicators in the risk of type 2 diabetes mellitus in Chinese elderly hypertensive patients.Frontiers in endocrinology · 2025Article
12 more citing papers are in PubMed but not listed here.
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9 authors.
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Abstract
The Chinese visceral adiposity index (CVAI) is a recently developed indicator of visceral adiposity. We investigated the predictive value of the CVAI for the development of dysglycemia (pre-diabetes and type 2 diabetes) and compared its predictive power with that of the Visceral adiposity index (VAI) and various anthropometric indices. This community-based study included 2,383 participants. We assessed the predictive power of adiposity indices by performing univariate and multivariate binary logistic regression analysis and calculating the area under the receiver-operating characteristic (ROC) curve according to their quartiles. Logistic regression analysis showed that individuals in higher CVAI quartiles at baseline were more likely to develop dysglycemia than those in lower CVAI quartiles. The area under the ROC curve for CVAI was significantly higher than that of other adiposity indices. In addition, among the various adiposity indices tested, the CVAI had the greatest Youden index for identifying dysglycemia in both genders. Our data demonstrate that the CVAI is a better predictor of type 2 diabetes and pre-diabetes than the VAI, BMI, waist circumference, waist-to-hip ratio and waist-to-height ratio in Chinese adults.
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