ArticleJournal of the American Heart Association2019
Predictive Values of Anthropometric Measurements for Cardiometabolic Risk Factors and Cardiovascular Diseases Among 44 048 Chinese.
Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.
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Who cites it
57 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Association between body shape index and arterial stiffness: results of the EVasCu study and a meta-analysis.International journal of obesity (2005) · 2025Pooled it
- Waist to height ratio as a simple tool for predicting mortality: a systematic review and meta-analysis.International journal of obesity (2005) · 2023Pooled it
- Effect of omega-3 fatty acids supplementation on cardio-metabolic and oxidative stress parameters in patients with chronic kidney disease: a systematic review and meta-analysis.BMC nephrology · 2021Pooled it
- Sex-specific associations of urinary zinc, iron, and zinc-to-iron ratio with obesity indicators and phenotypes.European journal of nutrition · 2026Article
- Central Adiposity and Subclinical Coronary Atherosclerosis in Population-Based Studies: What Are We Missing Beyond Waist Circumference?JACC. Advances · 2026Article
- Perinatal factors and their association with cardiometabolic profile in schoolchildren.Italian journal of pediatrics · 2026Article
- Comparative predictive values of anthropometric indices for cardiometabolic multimorbidity in middle-aged and older adults: a prospective study from the CHARLS study.BMC public health · 2025Article
- General obesity index or central obesity indicators: which is a better predictor of body fat percentage in the first trimester?BMC pregnancy and childbirth · 2025Article
- A Temporal Validation Study of Diagnostic Prediction Models for the Screening of Elevated Low-Density and Non-High-Density Lipoprotein Cholesterol.Journal of clinical medicine · 2025Article
- Predictive value of anthropometric indices for incident of dyslipidemia: a large population-based study.Population health metrics · 2025Article
- The efficacy of physiological parameters in assessing the clustering of cardiovascular risk factors (CCRF) among children and adolescents.Journal of translational medicine · 2025Article
- Association between sleep duration and obesity in patients with type 2 diabetes: A longitudinal study.Diabetic medicine : a journal of the British Diabetic Association · 2025Article
- Association between long-term changes in obesity-related anthropometric indicators and the risk of type 2 diabetes mellitus in the older population.The Journal of international medical research · 2025Article
- Evaluating Anthropometric Indices for Malnutrition Assessment in Older Adults: Scoping Review.Current nutrition reports · 2025Review
- Waist-to-Height Ratio, Waist Circumference, and Body Mass Index in Relation to Full Cardiometabolic Risk in an Adult Population from Medellin, Colombia.Journal of clinical medicine · 2025Article
- Opportunistic measurement of sagittal abdominal diameter with bone densitometry predicts death and cardiovascular events.JBMR plus · 2025Article
- The relationships between anthropometric measurements, organ weights and intracranial, carotid and coronary atherosclerosis.BMC cardiovascular disorders · 2025Article
- Cardiometabolic risk assessment by anthropometric and biochemical indices in mexican population.Frontiers in endocrinology · 2025Article
- The Clínica Universidad de Navarra-Body Adiposity Estimator index is a reliable tool for prediabetes: a multi-center retrospective cohort study.Frontiers in nutrition · 2025Article
- Exploring the association between vitamin D levels and dyslipidemia risk: insights from machine learning and generalized additive models.Frontiers in nutrition · 2025Article
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9 authors.
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Abstract
Background The predictive value of adiposity indices and the newly developed index for cardiometabolic risk factors and cardiovascular diseases (CVDs) remains unclear in the Chinese population. This study aimed to compare the predictive value of A Body Shape Index with other 5 conventional obesity-related anthropometric indices (body mass index, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio) in Chinese population. Methods and Results A total of 44 048 participants in the study were derived from the baseline data of the PURE-China (Prospective Urban and Rural Epidemiology) study in China. All participants' anthropometric parameters, CVDs, and risk factors (dyslipidemia, abnormal blood pressure, and hyperglycemia) were collected by standard procedures. Multivariable logistic regression models and receiver operator characteristic curve analysis were used to evaluate the predictive values of obesity-related anthropometric indices to the cardiometabolic risk factors and CVDs. A positive association was observed between each anthropometric index and cardiometabolic risk factors and CVDs in all models (P<0.001). Compared with other anthropometric indices (body mass index, waist circumference, hip circumference, waist-to-hip ratio, and A Body Shape Index), waist-to-height ratio had significantly higher areas under the curve (AUCs) for predicting dyslipidemia (AUCs: 0.646, sensitivity: 65%, specificity: 44%), hyperglycemia (AUCs: 0.595, sensitivity: 60%, specificity: 45%), and CVDs (AUCs: 0.619, sensitivity: 59%, specificity: 41%). Waist circumference showed the best prediction for abnormal blood pressure (AUCs: 0.671, sensitivity: 66%, specificity: 40%) compared with other anthropometric indices. However, the new body shape index did not show a better prediction to either cardiometabolic risk factors or CVDs than that of any other traditional obesity-related indices. Conclusions Waist-to-height ratio appeared to be the best indicator for dyslipidemia, hyperglycemia, and CVDs, while waist circumference had a better prediction for abnormal blood pressure.
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