ArticleJournal of diabetes2022
Comparison of six anthropometric measures in discriminating diabetes: A cross-sectional study from the National Health and Nutrition Examination Survey.
Article in Journal of diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 15 citations in OpenAlex.
- Which of the five anthropometric and lipid-based indexes best predicts hypertension? A machine learning approach.Internal and emergency medicine · 2026Article
- Correlation analysis between eight anthropometric indicators and arterial stiffness in relatively healthy Chinese adults.Frontiers in nutrition · 2026Article
- Associations Between Multidimensional Obesity Indices and Diabetic Peripheral Neuropathy and Comparison of Their Discriminative Performance.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Article
- A comparative analysis of anthropometric indices for identifying prediabetes in US adults: results from NHANES 2021-2023.Preventive medicine reports · 2026Article
- Evaluating anthropometric indices of obesity for early osteoarthritis detection: focus on body fat percentage and relative fat mass.Clinical rheumatology · 2025Article
- NHANES 2011-2014: Association Between Conicity Index and Cognitive Performance in Older Adults.Alpha psychiatry · 2025Article
- Which adiposity index is best? Comparison of five indicators and their ability to identify type 2 diabetes risk in a population study.Diabetes research and clinical practice · 2025Article
- Observational
- Impact of adiposity indices changes across the lifespan on risk of diabetes in women: trajectory modeling approach.BMC public health · 2024Article
- Estimation of Absolute and Relative Body Fat Content Using Noninvasive Surrogates: Can DXA Be Bypassed?Journal of clinical pharmacology · 2023Article
- Association of multiple anthropometric indices with in 944,760 elderly Chinese people.Epidemiology and health · 2023Article
- Predictive role of serum C-peptide in new-onset renal dysfunction in type 2 diabetes: a longitudinal observational study.Frontiers in endocrinology · 2023Observational
- Non-linear association of fasting C-peptide and uric acid levels with renal dysfunction based on restricted cubic spline in patients with type 2 diabetes: A real-world study.Frontiers in endocrinology · 2023Observational
- Comparison of six anthropometric measures in discriminating diabetes: A cross-sectional study from the National Health and Nutrition Examination Survey.Journal of diabetes · 2022Article
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundTraditional anthropometric measures, including body mass index (BMI), are insufficient for evaluating the risk of diabetes. This study aimed to evaluate the performance of new anthropometric measures and a combination of anthropometric measures for identifying diabetes.
methodsA total of 46 979 participants in the National Health and Nutrition Examination Survey program were included in this study. Anthropometric measures, including weight, BMI, waist circumference (WC), waist-to-height ratio (WtHR), conicity index (CI), and A Body Shape Index (ABSI), were calculated. Logistic regression analysis and restricted cubic splines were used to evaluate the association between the anthropometric indices and diabetes. The receiver operating characteristic (ROC) curve analysis was performed to compare the discrimination of different anthropometric measures.
resultsAll anthropometric measures were positively and independently associated with the risk of diabetes. After adjusting for covariates, the per SD increment in WC, WtHR, and CI increased the risk of diabetes by 81%, 83%, and 81%, respectively. In the ROC analysis, CI showed superior discriminative ability for diabetes (area under the curve 0.714), and its optimum cutoff value was 1.31. Results of the combined use of BMI and other anthropometric measures showed that among participants with BMI <30 kg/m
conclusionsWtHR and CI had the best ability to identify diabetes when applied to the US noninstitutionalized population. Anthropometric measures containing WC information could improve the discrimination ability.
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