ArticleBMC cardiovascular disorders2018
New anthropometric indices or old ones: which perform better in estimating cardiovascular risks in Chinese adults.
Article in BMC cardiovascular disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.
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Who cites it
52 citing papers in PubMed.
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- Anthropometric Indices Associated With Elevated Estimated 10-year Risk of Cardiovascular Disease Among Adults in the Kumasi Metropolis of Ghana: A Cross-Sectional Study.Health science reports · 2026Article
- Exploring the predictive values of ABSI and BRI in premature coronary artery disease based on a real world study.Scientific reports · 2025Article
- Anthropometric indices for predicting incident cardiovascular disease: a 13-year follow-up study in a Japanese population.The American journal of clinical nutrition · 2025Article
- Association of dietary acid load with abdominal adiposity based on traditional and novel anthropometric indices.Journal of health, population, and nutrition · 2025Article
- Baseline and longitudinal changes of body roundness index and incident type 2 diabetes: evidence from the UK Biobank cohort.BMJ open diabetes research & care · 2025Article
- Predictive value of anthropometric indices for incident of dyslipidemia: a large population-based study.Population health metrics · 2025Article
- Article
- Accelerated biological aging as potential mediator in the relationship between central obesity and lung cancer risk.Frontiers in aging · 2025Article
- The relationship between dietary inflammatory index in adults and coronary heart disease: from NHANES 1999-2018.Frontiers in nutrition · 2025Article
- Comparative Analysis of Waist-Height Ratio and Heart Rate Recovery for Predicting Coronary Heart Disease Risk Among Working Malaysian Women.International journal of women's health · 2025Article
- Predictive properties of novel anthropometric and biochemical indexes for prediction of cardiovascular risk.Diabetology & metabolic syndrome · 2024Article
- Prevalence of Subclinical Hypothyroidism in a Non-Diabetic Young Female Population and Its Impact on Diabetes and Cardiometabolic Risk.Endocrinology and metabolism (Seoul, Korea) · 2024Article
- Anthropometric indices in predicting 10-year cardiovascular risk among males and females aged 40-74 years in south and southeast Asia: analysis of 12 WHO STEPS survey data.The Lancet regional health. Southeast Asia · 2024Article
- Comparison of obesity indicators for predicting cardiovascular risk factors and multimorbidity among the Chinese population based on ROC analysis.Scientific reports · 2024Article
- Association between a body shape index and female infertility: a cross-sectional study.BMC women's health · 2024Article
- Role of waist circumferenceZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Review
- Accuracy of novel anthropometric indices for assessing the risk for progression of prediabetes to diabetes; 13 years of results from Isfahan Cohort Study.Archives of endocrinology and metabolism · 2024Article
- Comparative efficacy of anthropometric indices in predicting 10-year ASCVD risk: insights from NHANES data.Frontiers in cardiovascular medicine · 2024Article
- Review
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5 authors.
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Abstract
backgroundVarious anthropometric indices can be used to estimate obesity, and it is important to determine which one is the best in predicting the risk of coronary heart disease (CHD) and to define the optimal cut-off point for the best index.
methodsThis cross-sectional study investigated a consecutive sample of 11,247 adults, who had lived in rural areas of China and were older than 35 years of age. Eight obesity indices, including the body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), abdominal volume index (AVI), body adiposity index (BAI), body roundness index (BRI) and a body shape index (ABSI) were investigated. The risk of CHD was evaluated by the 10-year coronary event risk (Framingham risk score). Receiver operating characteristic (ROC) curve analyses were used to evaluate the predictive ability of the obesity indices for CHD risk.
resultsOf the whole population, 3636 (32.32%) participants had a risk score higher than 10%. Those who suffered medium or high CHD risk were more likely to have higher mean anthropometric indices, except for BMI in males. In the multivariate-adjusted logistic regression, all these anthropometric measurements were statistically associated with CHD risk in males. After adjusting for all the possible confounders, these anthropometric measurements, except for ABSI, remained as independent indicators of CHD risk in females. According to the ROC analyses, ABSI provided the largest area under the curve (AUC) value in males, and BMI showed the lowest AUC value, with AUC varying from 0.52 to 0.60. WHtR and BRI provided the largest AUC value in female, and similarly, BMI showed the lowest AUC value, with AUC varying from 0.59 to 0.70. The optimal cut-off values were as follows: WHtR (females: 0.54), BRI (females: 4.21), and ABSI (males: 0.078).
conclusionsABSI was the best anthropometric index for estimating CHD risk in males, and WHtR and BRI were the best indicators in females. Males should maintain an ABSI of less than 0.078, and females should maintain a WHtR of less than 0.54 or a BRI of less than 4.21.
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