ArticleHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2022
Identification of the Best Anthropometric Index for Predicting the 10-Year Cardiovascular Disease in Southwest China: A Large Single-Center, Cross-Sectional Study.
Article in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Risk association and diagnostic value of body roundness index for cardiovascular-kidney-metabolic-related outcomes: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Redefining Abdominal Contours: An Analysis of Medium Definition Liposuction Abdominoplasty.Aesthetic plastic surgery · 2024Article
- Comparative efficacy of anthropometric indices in predicting 10-year ASCVD risk: insights from NHANES data.Frontiers in cardiovascular medicine · 2024Article
- Anthropometric Measures of Adiposity as Markers of Kidney Dysfunction: A Cross-Sectional Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2023Article
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6 authors at 1 institution in 1 country.
Funding
Abstract
introductionThis population-based cross-sectional study aimed to identify the best predictor of the 10-year cardiovascular (CV) high risk among old and new anthropometric indices.
methodsWe investigated 76,915 adults older than 18 years of age living in southwest China. Ten obesity indices were calculated. The 10-year cardiovascular disease (CVD) risk was estimated using the Framingham risk score. Receiver operating characteristic curve analysis was performed to assess the ability of the anthropometric index to predict the 10-year high risk of CVD events.
resultsThe waist-to-hip ratio (WHR) had the highest area under the curve (AUC) value (0.711; sensitivity: 62.22%, specificity: 42.73%) in men, while the body fat index (BAI) had the lowest AUC value (0.624, sensitivity: 49.07%, specificity: 54.84%). The waist-to-height ratio (WHtR) and the body roundness index (BRI) showed the highest AUC value (0.751, sensitivity: 39.24%, 39.83%, specificity: 75.68%, 68.59%) in women, while the BAI showed the lowest AUC value (0.671, sensitivity: 53.15%, specificity: 57.14%).
conclusionsThe WHR was the best anthropometric measure for assessing the 10-year high risk of CVD in men, while the WHtR and BRI were the best measures for women. In men, the WHR should be < 0.88, and in women, the WHtR should be < 0.502 or the BRI should be < 3.41.
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