ArticleBMC public health2020
Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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37 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.
- Effectiveness of Body Roundness Index (BRI) and a Body Shape Index (ABSI) in Predicting Hypertension: A Systematic Review and Meta-Analysis of Observational Studies.International journal of environmental research and public health · 2021Pooled it
- Comprehensive evaluation of the triglyceride glucose index (TyG) and body roundness index (BRI) on cardiovascular disease risk prediction: a 9-year prospective cohort study in Chinese middle-aged and older adults.Cardiovascular diabetology · 2026Article
- Associations of Lipid and Adiposity Indices with Vascular Aging Stages in a Multicenter Chinese Population.Current medical science · 2026Article
- Screening Tools for Early Identification of Adults at High Risk of Type 2 Diabetes: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Lipid-adiposity indices outperform traditional and derived anthropometric and biochemical indices for discriminating individuals with metabolic syndrome.Frontiers in endocrinology · 2026Article
- Physiological anthropometric associations with health metrics across different blood types among nursing students.Pakistan journal of medical sciences · 2025Article
- The association between metabolic syndrome and anthropometric measurements in Iranian professional drivers: a cross-sectional analysis from shahroud drivers cohort study (SDCS).Journal of diabetes and metabolic disorders · 2025Article
- Genetic impact of central adiposity on systolic blood pressure in females: interaction and mediation by TG/HDL-C, HbA1c, and uric acid across BMI categories.International journal of obesity (2005) · 2025Article
- Observational
- Association of Body Mass Index and Metabolic Health Status With Cerebrovascular Diseases in 617 755 Chinese Older People.Journal of the American Heart Association · 2025Article
- Associations of body roundness index and inflammatory marker with hypertension among children and adolescents: a cross-sectional study.Scientific reports · 2025Article
- Predicting metabolic syndrome by lipid accumulation product, visceral adiposity index and body roundness index in Brazilian rural workers.BMC public health · 2025Article
- Waist-to-Height Ratio - Reference Values and Associations with Cardiovascular Risk Factors in a Russian Adult Population.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
- Cardiometabolic risk assessment by anthropometric and biochemical indices in mexican population.Frontiers in endocrinology · 2025Article
- Assessing the prevalence of obesity in a Russian adult population by six indices and their associations with hypertension, diabetes mellitus and hypercholesterolaemia.International journal of circumpolar health · 2024Article
- Utility of Anthropometric Indexes for Detecting Metabolic Syndrome in Resource-Limited Regions of Northwestern China: Cross-Sectional Study.JMIR public health and surveillance · 2024Article
- The predictive power of conventional and novel obesity indices in identifying metabolic syndrome among the southern Iranian populations: findings from PERSIAN cohort study.Journal of health, population, and nutrition · 2024Article
- Lipids as the link between central obesity and diabetes: perspectives from mediation analysis.BMC endocrine disorders · 2024Article
- Comparison of novel and traditional anthropometric indices in Eastern-China adults: which is the best indicator of the metabolically obese normal weight phenotype?BMC public health · 2024Article
- Adiposity indices and their higher predictive value for new-onset hypertension in metabolically healthy young women: findings from a population-based prospective cohort study.BMC cardiovascular disorders · 2024Article
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6 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic syndrome (MetS), a condition of metabolic disorders, is now causing large disease burden around the world. This study aimed to update the prevalence of MetS in Jiangsu Province of China and evaluate the predicting value of five anthropometric measures including waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), a body shape index (ABSI) and body roundness index (BRI) in MetS.
methods8040 participants from 12 survey sites were enrolled into this cross-sectional study by multi-stage stratified cluster random sampling method from 2014 nutrition and diet investigation project in Jiangsu Province. The transformation of sex-specific z-score made the comparison meaningful when conducting the logistic analysis between anthropometric indices and MetS. The abilities of anthropometric indices to predict MetS were evaluated by the receiver operating characteristic curve (ROC). Delong test was applied to compare area under different ROC curves.
resultsThe prevalence of MetS in Jiangsu Province was 35.2% and the standardized prevalence was 34.8%. WC, BMI, WHtR, ABSI and BRI z-scores were positively related to MetS and its components. WC, WHtR and BRI z-score had stronger associations with MetS than BMI and ABSI in both male and female population. WC, WHtR and BRI had larger area under ROC curve than BMI and ABSI in male and female. WC in men had the largest area under the ROC curve, significantly higher than the other four measures of BMI, WHtR, ABSI and BRI (Z value = 9.08, 2.88, 16.73, 2.75 respectively). Among women, WC, WHtR and BRI had larger area under the ROC curve than BMI and ABSI, but the area under the WC, WHtR and BRI curve were not significantly different after the pairwise comparison by the Delong test. The optimal cut-off values of WC, WHtR and BRI for predicting MetS was 85.25 cm, 0.52 and 3.61 in male, 80.05 cm, 0.51 and 3.83 in female.
conclusionMetS has become one of the major chronic diseases in Jiangsu Province. WC was better than other four indices in predicting MetS among male population in Jiangsu. WC, WHtR and BRI had superior abilities than BMI/ABSI in predicting MetS among female population.
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