ArticleNutrition & metabolism2021
Novel and traditional anthropometric indices for identifying metabolic syndrome in non-overweight/obese adults.
Article in Nutrition & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.
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74 citing papers in PubMed, 97 citations in OpenAlex.
- Stage-specific utility of obesity indices across the chronic kidney disease continuum.Renal failure · 2026Article
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- Association Between Obesity Indices and Heart Rate Variability: A Cross-Sectional Study in Asian Young College Students.Cardiology research and practice · 2026Article
- The TyG Index and Obesity Indicators Predicting Low Muscle Mass in US Adults Without Diabetes: NHANES 2011-2018.Journal of nutrition and metabolism · 2026Article
- Correlation analysis between eight anthropometric indicators and arterial stiffness in relatively healthy Chinese adults.Frontiers in nutrition · 2026Article
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- Association analysis of weight-adjusted waist index with hypertension and its subtypes.Frontiers in public health · 2026Article
- Predictive performance of traditional and novel anthropometric indices for diabetes and hypertension.Journal of diabetes investigation · 2025Article
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- The ability of anthropometric indices in detecting type 2 diabetes mellitus in Sudanese adults: a cross-sectional study.Scientific reports · 2025Article
- 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
- 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
- Weight adjusted waist index is a superior obesity index for predicting arterial stiffness in type 2 diabetes mellitus.Scientific reports · 2025Article
- Association of body roundness index with circadian syndrome: a cross-sectional study using NHANES data from 2009 to 2018.Journal of health, population, and nutrition · 2025Article
- Association of the weight-adjusted waist index with mortality in osteoporotic patients.Journal of bone and mineral metabolism · 2025Article
- Assessing three novel composite anthropometric-metabolic indices for predicting 10-year incidence of metabolic syndrome: findings from the kerman coronary artery disease risk factors study (KERCADRS).Hormones (Athens, Greece) · 2025Article
- A study on the relationship between the weight-adjusted waist index and kidney stone prevalence mediated by diabetes: data from NHANES 2007-2018.Scientific reports · 2025Article
- Predictive value of six anthropometric indicators for prevalence and mortality of obstructive sleep apnoea asthma and COPD using NHANES data.Scientific reports · 2025Article
- Body roundness index trajectories in Chinese bariatric surgery patients: a retrospective longitudinal study.Lipids in health and disease · 2025Article
- Evaluation of novel and traditional anthropometric indices for predicting metabolic syndrome and its components: a cross-sectional study of the Nepali adult population.Scientific reports · 2025Article
14 more citing papers are in PubMed but not listed here.
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6 authors at 2 institutions in 1 country.
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Abstract
backgroundMetabolic syndrome (MetS) in non-overweight/obese people is insidiously associated with cardiovascular disease. Novel anthropometric indices can reflect central obesity better than the traditional anthropometric indices. Therefore, we hypothesize that these newly developed anthropometric indices can better identify MetS in non-overweight/obese people than conventional indices.
methodsCross-sectional data of sociodemographic, biochemical and anthropometric indices were collected from 2916 non-overweight/obese Chinese people. A body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI) and abdominal volume index (AVI) were calculated. Partial correlation analysis was used to clarify the correlation between anthropometric indices and MetS variables. Binary logistic regression analysis was applied to assess the association between anthropometric indices and MetS and its components. Receiver-operating characteristic curve was used to identify the diagnostic ability of anthropometric indices for MetS and its components. The area under curve (AUC) difference between WHtR and each new anthropometric index was compared in pairs.
resultsAfter adjusting for covariates, AVI had the optimal ability of identifying MetS (AUC: 0.743 for male, 0.819 for female) and the strongest correlation with high-density lipoprotein cholesterol (HDL-C) (coe: - 0.227 for male, - 0.207 for female) and the highest odds rations (OR) with low HDL-C group (male: OR = 1.37, female: OR = 1.55). The WHtR was comparable to BRI in assessing MetS (AUC: 0.739 for male, 0.817 for female). WHtR or BRI could also well identify hypertension (AUC: 0.602 for male, 0.688 for female) and dysglycemia (AUC: 0.669 for male, 0.713 for female) and female's high triglyceride level (AUC 0.712). The recognition ability of the two was equivalent. The ability of ABSI and WWI to identify MetS was weak.
conclusionsAVI is the optimal anthropometric indices to identify MetS in non-overweight/obese Chinese adults. BRI and WHtR can also be considered as discriminators, while ABSI and WWI are weak discriminators. WHtR is easy to measure. So, it is recommended as an early preliminary screening method for the MetS in non-overweight/obese people.
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