ArticleArchives of public health = Archives belges de sante publique2024
Weight-adjusted waist index and cardiovascular disease: a population-based study in Ravansar, Iran.
Article in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A CVD Classification Model for Individuals With Obesity: Multi-Ethnic Validation Based on Multiple Metabolic Indicators.Obesity (Silver Spring, Md.) · 2026Article
- Editorial: Cardiovascular Anthropometry For Large Scale Population Studies Volume II.Frontiers in cardiovascular medicine · 2026Article
- Does a modified metabolic syndrome definition improve prediction of cardiovascular events and mortality? findings from a 17-year cohort study.Journal of health, population, and nutrition · 2025Article
- Triglyceride glucose-weight-adjusted waist index as a cardiovascular mortality predictor: incremental value beyond the establishment of TyG-related indices.Cardiovascular diabetology · 2025Article
- Association between triglyceride glucose weight adjusted waist index and stroke risk in different glucose metabolism status.Scientific reports · 2025Article
- The relationship between weight-adjusted waist index and peripheral artery disease.Frontiers in nutrition · 2025Article
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4 authors.
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Abstract
backgroundThe weight-adjusted-waist index (WWI) is a relatively new index to obesity. This study aimed to explore the reationship between WWI and cardiovascular disease (CVD).
methodsThis cross-sectional study included 8,899 participants aged 35 to 65 from the Ravansar non-communicable diseases (RaNCD) cohort study in Ravansar, Iran. The WWI was calculated by dividing waist circumference (WC) by the square root of weight. The receiver operating characteristic (ROC) curve was utilized to assess the predictive performance of WWI in relation to CVD. The study applied multiple logistic regression to assess the association between WWI and CVD.
resultsParticipants had an average age of 47.52 ± 8.29 years, with 45.30% being men and 41.13% residing in rural areas. The prevalence of CVD was found to be 17.36%. A positive correlation between WWI and CVD was obseved, with individuals in the highest WWI quartile having a 36% (OR = 1.36, 95%CI: 1.11, 1.78) greater odds of CVD compared to those in the lowest quartile (OR = 1.03, 95%CI: 0.79, 1.33) (ptrend = 0.010). Subgroup analyses indicated stronger links between WWI and CVD among participants over 50, males, urban residents, those of high socioeconomic status (SES), and passive smokers (p < 0.001). The ROC analysis revealed that WWI is a greater ability in predicting CVD (AUC: 0.64, 95%CI: 0.61, 0.64) compared to body mass index (BMI) (AUC: 0.60, 95%CI: 0.58, 0.61) and WC (AUC: 0.61, 95%CI: 0.59, 0.62).
conclusionThe increase in WWI elevates the odds of CVD, making the management of WWI crucial for CVD prevention.
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