ArticleJornal vascular brasileiro2021
Associations between new and old anthropometric indices with type 2 diabetes mellitus and risk of metabolic complications: a cross-sectional analytical study.
Article in Jornal vascular brasileiro, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Comparison of anthropometric indicators for assessing current type 2 diabetes risk in adult patients.BMC endocrine disorders · 2026Observational
- Determination of the Optimal Cut-Off Point of Anthropometric Indices to Predict the Risk of Metabolic Syndrome in Iranian Adult Population With Type 2 Diabetes Mellitus: A Cross-Sectional-Analytical Study.Endocrinology, diabetes & metabolism · 2026Article
- Comparison of the association and discriminatory ability of CVAI, LAP, CI, and AVI for type 2 diabetes in Chinese adults aged ≥ 50 years: a sex-specific analysis.Frontiers in endocrinology · 2026Article
- Establishing optimal cut-offs of cardio-metabolic indices for diagnosing metabolic syndrome in type 2 diabetes.BMC endocrine disorders · 2025Article
- Association of anthropometry indices and metabolic syndrome in Iranians: a cross-sectional study of the Fasa adult cohort study.BMJ open · 2025Article
- Study on the association between visceral adiposity index and diabetic kidney disease in hospitalized patients with type 2 diabetes mellitus in China.Frontiers in endocrinology · 2025Article
- Optimal obesity- and lipid-related indices for predicting type 2 diabetes in middle-aged and elderly Chinese.Scientific reports · 2024Article
- Investigating the efficiency of novel indicators in predicting risk of metabolic syndrome in the Iranian adult population.Journal of education and health promotion · 2024Article
- The predictive significance of lipid accumulation products for future diabetes in a non-diabetic population from a gender perspective: an analysis using time-dependent receiver operating characteristics.Frontiers in endocrinology · 2023Article
- Data mining approaches for type 2 diabetes mellitus prediction using anthropometric measurements.Journal of clinical laboratory analysis · 2023Article
- Comparing categorical variables in clinical and experimental studies.Jornal vascular brasileiro · 2022Article
- Factors correlated with targeted prevention for prediabetes classified by impaired fasting glucose, impaired glucose tolerance, and elevated HbA1c: A population-based longitudinal study.Frontiers in endocrinology · 2022Article
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8 authors.
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Abstract
backgroundObesity can increase the risk of diabetes mellitus and complications associated with it.
objectivesThe aim of this study was to estimate the associations between new and old anthropometric indices and the risk of type 2 diabetes mellitus (T2DM) and its metabolic complications.
methodsIn this cross-sectional analytical study, 110 T2DM subjects and 110 healthy controls were selected by convenience sampling. Metabolic factors were evaluated including the atherogenic index of plasma (AIP), glycemic status, lipid profile, blood pressure, kidney indices, new anthropometric indices (abdominal volume index [AVI], body shape index [ABSI], lipid accumulation product [LAP], body adiposity index [BAI], and conicity index [CI]), and old anthropometric indices (weight, body mass index [BMI], and waist and hip circumference [WC and HC]).
resultsSignificant positive correlations were observed between AVI, LAP, and BAI and fasting blood glucose and HbA1c in the T2DM group (p < 0.001 for all associations). The odds ratio (OR) for T2DM elevated significantly with increasing BMI (OR: 1.30, 95% CI: 1.20-1.42), LAP (OR: 1.20, 95% CI: 1.13-1.27), and BAI (OR: 1.32, 95% CI: 1.21-1.43). The indices AVI (OR: 1.90, 95% CI: 1.57-2.29), LAP (OR: 1.19, 95% CI: 1.13-1.27), BAI (OR: 1.19, 95% CI: 1.12-1.26), WC (OR: 1.29, 95% CI: 1.18, 1.42), and HC (OR: 1.07, 95% CI: 1.01, 1.14) significantly increased the risk of metabolic syndrome (MetS).
conclusionsAssociations were identified between obesity indices and diabetes. These indices could be used in clinical practice for evaluation and control of T2DM.
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