ArticlePloS one2020
Anthropometric indices and cut-off points in the diagnosis of metabolic disorders.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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
- Determination of the Optimal Cut-Off Point of Anthropometric Indices to Predict the Risk of Metabolic Syndrome in Iranian Adult Population With Type 2 Diabetes Mellitus: A Cross-Sectional-Analytical Study.Endocrinology, diabetes & metabolism · 2026Article
- Wrist circumference (WrC) in early gestation: A novel anthropometric predictor of gestational diabetes mellitus (GDM) in Asian Indian women.Journal of family medicine and primary care · 2026Article
- Lipid-adiposity indices outperform traditional and derived anthropometric and biochemical indices for discriminating individuals with metabolic syndrome.Frontiers in endocrinology · 2026Article
- Establishing optimal cut-offs of cardio-metabolic indices for diagnosing metabolic syndrome in type 2 diabetes.BMC endocrine disorders · 2025Article
- Association Between Neck Circumference and Uncontrolled Hyperglycemia Diabetes in Korean Adults: From the Korea National Health and Nutrition Examination Survey, 2019 to 2021.Bioengineering (Basel, Switzerland) · 2025Article
- Exploring anthropometric, biochemistry and nutritional attributes in overweight and obese women: Insights from the Serbian cohort: A pilot study.Journal of medical biochemistry · 2025Article
- CUN-BAE adiposity index prediction of incident type 2 diabetes: the Seguimiento Universidad de Navarra prospective cohort.The journal of nutrition, health & aging · 2025Article
- Weight-adjusted waist circumference index with hepatic steatosis and fibrosis in adult females: a cross-sectional, nationally representative study (NHANES 2017-2020).BMC gastroenterology · 2025Article
- Comparisons of Various Anthropometric Indices for Incident Hypertension in Military Young Adults: The CHIEF Cohort Study.Endocrine, metabolic & immune disorders drug targets · 2025Article
- Clinical utility of anthropometric parameters in identifying glucose dysregulation in women with polycystic ovary syndrome.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
- Predictive Power of Anthropometric Measures and Indices in Assessing Nutrition-Related Risk Using the Geriatric Nutritional Risk Index in Elderly Patients: A Cross-Sectional Study.Medical science monitor : international medical journal of experimental and clinical research · 2024Article
- Racial-Ethnic Disparities of Obesity Require Community Context-Specific Biomedical Research for Native Hawaiians and Other Pacific Islanders.Nutrients · 2024Review
- Burden of postmenopausal breast cancer attributable to excess body weight: comparative study of body mass index and CUN-BAE in MCC-Spain study.Journal of epidemiology and community health · 2024Article
- Predictive ability of anthropometric indices for risk of developing metabolic syndrome: a cross-sectional study.The Journal of international medical research · 2024Article
- Significance of measuring anthropometric and atherogenic indices in patients with polycystic ovary syndrome.BMC endocrine disorders · 2024Article
- Body Mass Index and Waist Circumference as Predictors of Above-Average Increased Cardiovascular Risk Assessed by the SCORE2 and SCORE2-OP Calculators and the Proposition of New Optimal Cut-Off Values: Cross-Sectional Single-Center Study.Journal of clinical medicine · 2024Article
- Associations of weight-adjusted-waist index and depression with secondary infertility.Frontiers in endocrinology · 2024Article
- A New Approach Using BMI and FMI as Predictors of Cardio-Vascular Risk Factors among Mexican Young Adults.European journal of investigation in health, psychology and education · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveIdentifying metabolic disorders at the earliest phase of their development allows for an early intervention and the prevention of serious consequences of diseases. However, it is difficult to determine which of the anthropometric indices of obesity is the best tool for diagnosing metabolic disorders. The aims of this study were to evaluate the usefulness of selected anthropometric indices and to determine optimal cut-off points for the identification of single metabolic disorders that are components of metabolic syndrome (MetS).
designCross-sectional study.
participantsWe analyzed the data of 12,328 participants aged 55.7±5.4 years. All participants were of European descent. PRIMARY OUTCOME MEASURE: Four MetS components were included: high glucose concentration, high blood triglyceride concentration, low high-density lipoprotein cholesterol concentration, and elevated blood pressure. The following obesity indices were considered: waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), body fat percentage (%BF), Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE), body roundness index (BRI), and a body shape index (ABSI).
resultsThe following indices had the highest discriminatory power for the identification of at least one MetS component: CUN-BAE, BMI, and WC in men (AUC = 0.734, 0.728, and 0.728, respectively) and WHtR, CUN-BAE, and WC in women (AUC = 0.715, 0.714, and 0.712, respectively) (p<0.001 for all). The other indices were similarly useful, except for the ABSI.
conclusionsFor the BMI, the optimal cut-off point for the identification of metabolic abnormalities was 27.2 kg/m2 for both sexes. For the WC, the optimal cut-off point was of 94 cm for men and 87 cm for women. Prospective studies are needed to identify those indices in which changes in value predict the occurrence of metabolic disorders best.
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