ArticleDiabetology & metabolic syndrome2024
Predictive properties of novel anthropometric and biochemical indexes for prediction of cardiovascular risk.
Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Impact of lipid accumulation product on cardiometabolic multimorbidity and the mediating effect of leukocytes: evidence from a prospective cohort study among middle-aged and elderly chinese adults.The Journal of the Egyptian Public Health Association · 2026Article
- The Triglyceride-Glucose Index and Its Combination with C-Reactive Protein and Anthropometric Indicators as Biomarkers for Hypertension Among Saudi Adults: A Cross-Sectional Survey.Journal of clinical medicine · 2026Article
- Article
- Novel lipid and obesity indices with new-onset stroke among adults aged 50 years and older in England.Scientific reports · 2026Article
- Anthropometric Indices and Markers of Atherothrombotic Risk in Subjects with Primary Hyperparathyroidism.Metabolites · 2026Article
- The Associations of Anthropometric Indices With Stages and Mortality in Cardiovascular-Kidney-Metabolic Syndrome: Insights From NHANES.Reviews in cardiovascular medicine · 2026Article
- Combined effect of triglyceride-glucose index and glucose disposal rate on cardio-cerebrovascular disease.PloS one · 2026Article
- Web-based cardiovascular disease risk prediction using machine learning.Frontiers in artificial intelligence · 2026Article
- Predictive Value of the second-Trimester Triglyceride-Glucose Index and Its Derived Indices for Macrosomia in Gestational Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- Sex differences in adiposity and hemodynamic parameters as cardiovascular risk indicators among South African university staff: a descriptive cross-sectional study.BMC cardiovascular disorders · 2025Article
- Exploring inflammation and adipose tissue dysfunction in metabolically healthy versus unhealthy obesity among Arab adults.Diabetology & metabolic syndrome · 2025Article
- The Interplay of Cardiometabolic Syndrome Phenotypes and Cardiovascular Risk Indices in Patients Diagnosed with Diabetes Mellitus.International journal of molecular sciences · 2025Article
- Chronotype, Lifestyles, and Anthropometric and Biochemical Indices for Cardiovascular Risk Assessment Among Obese Individuals.Nutrients · 2025Article
- Clinical significance of obesity measurement indicators and carotid artery plaques in type 2 diabetes.BMC cardiovascular disorders · 2025Article
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10 authors.
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Abstract
objectiveOur aim was to examine the correlation between CVDs and various anthropometric and biochemical indices in the Iranian population.
methods9704 healthy individuals without CVD aged 35-65 were enrolled in our study. The anthropometric indices including Body Adiposity Index (BAI), Abdominal Volume Index (AVI), Body Roundness Index (BRI), Waist to Hip Ratio (WHR), Weight-adjusted Waist Index (WWI), Conicity Index (C-Index), A Body Shape Index (ABSI), Waist to Height Ratio (WHtR), Body Surface Area (BSA), Body Mass Index (BMI), Lipid Accumulation Product (LAP) and Visceral Adiposity Index (VAI) were calculated. The biochemical indices including Cardiac Risk Ratio (CRR), Atherogenic Index of Plasma (AIP), Triglycerides-Glucose Index (TyG), Cardiac Risk Index (CRI), Atherogenic Coefficient (AC), and high-sensitivity C-Reactive Protein (hs-CRP) were investigated. The association of the above indices with CVD was analyzed using logistic regression (LR) and the decision tree (DT) models.
resultsThe LR showed age, hs-CRP, AIP, AVI, LAP, and TyG had significant associations with CVDs in men (p-value < 0.002). Also, age, hs-CRP, LAP, TyG, BRI, VAI, and CRR had significant associations with CVDs in women (p-value < 0.002). The DT showed 95% of men with age > = 48, AIP > = 0.94, TyG > = 9.71, and AVI > = 14.24 had CVDs. Also, 97% of women with age > = 54, TyG > = 8.33, and hs-CRP > = 36.69 had CVDs.
conclusionAge, TyG, AIP, AVI, hs-CRP and LAP were the best predictors of CVD in men. Moreover, age, TyG, hs-CRP and BAI were the best indicators of CVD in women.
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