ArticleFood science & nutrition2022
Optimal cut-off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus.
Article in Food science & nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Association Between Visceral Obesity Index and Diabetes: A Systematic Review and Meta-analysis.The Journal of clinical endocrinology and metabolism · 2024Pooled it
- Weekend Cyclists vs. Regular Cyclists: Association of Physical Training Distribution on Performance, Cardiometabolic Parameters and Muscle Oxygen Saturation.Sports (Basel, Switzerland) · 2026Article
- Metabolism and Psychosexual Health in Patients With Polycystic Ovary Syndrome: A Cross-Sectional Study.Cureus · 2025Article
- Fetuin-B as a biomarker for metformin response in women with polycystic ovary syndrome: a prospective study.Frontiers in medicine · 2025Article
- Severity of adipose tissue dysfunction is associated with progression of pre-diabetes to type 2 diabetes: the Tehran Lipid and Glucose Study.BMC public health · 2024Article
- %BF, Rather Than BMI, is Associated with an Increased Risk of Sarcopenia in Hospitalized Postmenopausal Chinese Women with Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Optimal cut-off points of anthropometric and body roundness indices associated with diabetes: Persian (Shahedieh) cohort study.Frontiers in nutrition · 2024Article
- Optimal cut-off points of fat mass index and visceral adiposity index associated with type 2 diabetes mellitus.Food science & nutrition · 2022Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Indices, based on anthropometrics with or without non-anthropometric components, are predictive of cardio-metabolic outcomes. Fat mass index (FMI) is similar to BMI except measured fat mass replaces body weight. The visceral adiposity index (VAI) combines anthropometric measures with lipid measurements TG/HDL. The relationship of these indices to incident type 2 diabetes (T2DM) has not been established. Therefore, we have evaluated the predictive power and optimal cut-off points of FMI, and VAI with T2DM in a cross-sectional population study. Methods: These population-based cross-sectional study comprised 8411 adults aged 35-65 years using data from the Ravansar Non-Communicable Diseases (RaNCD) cohort. VAI and FMI were defined as previously published. Optimal cut-off points for association with incident T2DM were determined from receiver-operating curves (ROC). Results: The optimal cut-off point for VAI was 4.86 (AUC: 0.673; 95% CI: 0.65-0.69) and FMI 9.3 (AUC: 0.57; 95% CI: 0.55-0.59), and for T2DM in our study population. The odds ratios (OR) for T2DM were nearly identical, for VAI 1.098 (95% CI: 1.08-1.11) and for FMI 1.08 (95% CI: 1.05-1.10). Conclusions: In the current population study, VAI and FMI were weakly associated with T2DM. Therefore, it seems that anthropometric measures are unlikely to be strong mediators of T2DM compared to historical and other factors in the population studied.
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