ArticleBMJ open2021
Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 32 citations in OpenAlex.
- The Social Distance Impacts from COVID-19 Pandemic on the Development of Two Orders of a Concurrent Training Programme for Morbidly Obese Patients.International journal of environmental research and public health · 2022Trial
- Leg fat-to-total fat ratio improves waist-to-height ratio for discriminating metabolic syndrome: a nationwide cross-sectional study.Journal of endocrinological investigation · 2026Article
- Screening Tools for Early Identification of Adults at High Risk of Type 2 Diabetes: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Investigation of the effect of obesity on trabecular and cortical bone structure in the peri-implant region using fractal analysis and radiomorphometric indices.BMC medical imaging · 2026Article
- WHtR-BFP dual-dimensional synergy: innovative construction of a nine-grid model for precision obesity management.Frontiers in nutrition · 2026Article
- Lipid-adiposity indices outperform traditional and derived anthropometric and biochemical indices for discriminating individuals with metabolic syndrome.Frontiers in endocrinology · 2026Article
- Comparison of the association and discriminatory ability of CVAI, LAP, CI, and AVI for type 2 diabetes in Chinese adults aged ≥ 50 years: a sex-specific analysis.Frontiers in endocrinology · 2026Article
- Predictive performance of traditional and novel anthropometric indices for diabetes and hypertension.Journal of diabetes investigation · 2025Article
- Establishing optimal cut-offs of cardio-metabolic indices for diagnosing metabolic syndrome in type 2 diabetes.BMC endocrine disorders · 2025Article
- The association between adiposity indices and the odds of breast cancer based on findings from a case control study.Scientific reports · 2025Article
- Use of Metabolic Scores and Lipid Ratios to Predict Metabolic Dysfunction-Associated Steatotic Liver Disease Onset in Patients with Inflammatory Bowel Diseases.Journal of clinical medicine · 2025Article
- Predicting metabolic syndrome by lipid accumulation product, visceral adiposity index and body roundness index in Brazilian rural workers.BMC public health · 2025Article
- Utility of Anthropometric Indexes for Detecting Metabolic Syndrome in Resource-Limited Regions of Northwestern China: Cross-Sectional Study.JMIR public health and surveillance · 2024Article
- Predictive ability of anthropometric indices for risk of developing metabolic syndrome: a cross-sectional study.The Journal of international medical research · 2024Article
- Article
- Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study.BMC cardiovascular disorders · 2023Article
- Article
- Comparisons and associations among anthropometric indices of first and second division and assistant soccer referees.Frontiers in psychology · 2023Article
- The CUN-BAE, Deurenberg Fat Mass, and visceral adiposity index as confident anthropometric indices for early detection of metabolic syndrome components in adults.Scientific reports · 2022Article
- Evaluating future risk of NAFLD in adolescents: a prediction and decision curve analysis.BMC gastroenterology · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height
designCross-sectional study.
settingNingxia, China.
participantsA total of 3860 adults aged 18-88 years from Ningxia, China were recruited by a single stratified cluster random sampling method.
methodsORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately.
resultsThe highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS.
conclusionsBMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.
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