ArticleInternational journal of endocrinology2018
Metabolic Syndrome and Its Components Predict the Risk of Type 2 Diabetes Mellitus in the Mainland Chinese: A 3-Year Cohort Study.
Article in International journal of endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Association of the new TyG indicator-TyHGB with prediabetes and diabetes in middle-aged and elderly postmenopausal women: a longitudinal study.Frontiers in endocrinology · 2026Article
- The Predictive Ability and Trend of Continuous Metabolic Syndrome (cMets) Score as a Marker for the Presence of Metabolic Syndrome among Iranian Adults from 2007 to 2025 Using STEPS Studies.International journal of preventive medicine · 2026Article
- Performance of diabetes risk prediction models: a systematic review and meta-analysis.Endocrine connections · 2025Article
- Micro-scale vertebral features in postmenopausal women with alcohol-associated and metabolic-associated fatty liver disease: ex vivo bone quality analyses.Journal of endocrinological investigation · 2024Article
- Predictive performance of lipid parameters in identifying undiagnosed diabetes and prediabetes: a cross-sectional study in eastern China.BMC endocrine disorders · 2022Article
- Derivation and Validation of a Prediction Model for Predicting the 5-Year Incidence of Type 2 Diabetes in Non-Obese Adults: A Population-Based Cohort Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021Article
- Changes in metabolic syndrome and its components and the risk of type 2 diabetes: a nationwide cohort study.Scientific reports · 2020Article
- Development and Validation of a Nomogram to Predict Type 2 Diabetes Mellitus in Overweight and Obese Adults: A Prospective Cohort Study from 82938 Adults in China.International journal of endocrinology · 2020Article
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Abstract
introductionIt has well established that metabolic syndrome (MetS) can predict the risk of type 2 diabetes mellitus (T2DM) in some population groups. However, limited evidence is available regarding the predictive effect of MetS for incident T2DM in mainland Chinese population.
methodsA 3-year cohort study was performed for 9735 Chinese without diabetes at baseline. MetS and its components were assessed by multivariable analysis using Cox regression. Prediction models were developed. Discrimination was assessed with area under the receiver operating characteristic curves (AUCs), and performance was assessed by a calibration curve.
resultsThe 3-year cumulative incidence of T2DM was 11.29%. Baseline MetS was associated with an increased risk of T2DM after adjusting for age (HR = 2.68, 95% CI, 2.27-3.17 in males; HR = 2.59, 95% CI, 1.83-3.65 in females). Baseline MetS exhibited relatively high specificity (88% in males, 94% in females) and high negative predictive value (90% in males, 94% in females) but low sensitivity (36% in males, 23% in females) and low positive predictive value (31% in males and females) for predicting the 3-year risk of T2DM. AUCs, including age and components of MetS, for the prediction model were 0.779 (95% CI: 0.759-0.799) in males and 0.860 (95% CI: 0.836-0.883) in females. Calibration curves revealed good agreement between prediction and observation results in males; however, the model could overestimate the risk when the predicted probability is >40% in females.
conclusionsMetS predicts the risk of T2DM. The quantitative MetS-based prediction model for T2DM risk may improve preventive strategies for T2DM and present considerable public health benefits for the people in mainland China.
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