ArticleEndocrine2019
Development of a metabolic syndrome severity score and its association with incident diabetes in an Asian population-results from a longitudinal cohort in Singapore.
Article in Endocrine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Effects of Exercise Intervention on Mitochondrial Stress Biomarkers in Metabolic Syndrome Patients: A Randomized Controlled Trial.International journal of environmental research and public health · 2021Trial
- Association of High-Sensitivity C-Reactive Protein with Metabolic Syndrome and Transitions in Metabolic Status: A Combined Cross-Sectional and Cohort Study with Gender Differences in Chinese Adults.Journal of inflammation research · 2026Article
- Sex difference in the relationship between 24-h sodium-potassium ratio and prevalence of metabolic syndromes: a cross-sectional study.Scientific reports · 2025Article
- Association between Metabolic Syndrome Score and Subclinical Atherosclerosis.Reviews in cardiovascular medicine · 2025Article
- Article
- Association of metabolic syndrome severity with frailty progression among Chinese middle and old-aged adults: a longitudinal study.Cardiovascular diabetology · 2024Article
- Association between metabolic syndrome severity score and cardiovascular disease: results from a longitudinal cohort study on Chinese adults.Frontiers in endocrinology · 2024Article
- Development and validation of an age-sex-ethnicity-specific metabolic syndrome score in the Chinese adults.Nature communications · 2023Article
- Trajectory patterns of metabolic syndrome severity score and risk of type 2 diabetes.Journal of translational medicine · 2023Article
- Development and validation of a continuous metabolic syndrome severity score in the Tehran Lipid and Glucose Study.Scientific reports · 2023Article
- The bidirectional relationship between metabolic syndrome and hyperuricemia in China: A longitudinal study from CHARLS.Endocrine · 2022Article
- Metabolic syndrome severity score in the middle-aged and elderly Iranian population: A cross-sectional survey of Bandare-Kong Cohort Study (the findings of PERSIAN Cohort Study).Frontiers in public health · 2022Article
- Mediation role of body fat distribution (FD) on the relationship between CAV1 rs3807992 polymorphism and metabolic syndrome in overweight and obese women.BMC medical genomics · 2021Article
- Predicting Long-Term Absence of Coronary Artery Calcium in Metabolic Syndrome and Diabetes: The MESA Study.JACC. Cardiovascular imaging · 2021Article
- Development and internal validation of risk prediction model of metabolic syndrome in oil workers.BMC public health · 2020Article
- Occupational Assessments of Risk Factors for Cardiovascular Diseases in Labors: An Application of Metabolic Syndrome Scoring Index.International journal of environmental research and public health · 2020Article
- An Application of Metabolic Syndrome Severity Scores in the Lifestyle Risk Assessment of Taiwanese Adults.International journal of environmental research and public health · 2020Article
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8 authors.
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Abstract
purposeMetabolic syndrome (MetS) is a constellation of clinical factors that indicates elevated risk of diabetes. It is diagnosed based on three or more abnormalities in its components. This does not take into account that MetS can likely present as a continuum of risk. We aim to develop a MetS severity score and assess its association with incident diabetes.
methodsIn total, 4149 subjects without baseline diabetes participated in a community screening programme in 2013-2017. MetS was defined according to International Diabetes Federation criteria. A MetS severity z-score was derived from standardised loading coefficients of a confirmatory factor analysis for waist circumference, triglycerides, HDL-cholesterol, blood pressure and fasting plasma glucose (FPG). Multivariable cox proportional hazards regression model was used to assess the risk of diabetes by the score with adjustment for demographics and MetS components.
resultsDiabetes occurred in 130 subjects. Quintile 5 of the baseline MetS severity z-score was significantly associated with development of diabetes even in fully adjusted model with HR 2.63 (95% CI: 1.04-6.64; p = 0.040). The relationship between MetS and incident diabetes became attenuated and non-significant in fully adjusted model with HR 0.67 (95% CI: 0.34-1.29; p = 0.228). Mediation analysis showed that MetS severity z-score accounted 61.0% of the association between increasing body mass index and development of diabetes (p < 0.001).
conclusionsThe MetS severity z-score is an inexpensive and clinically-available continuous measure of MetS to identify individuals at high risk of diabetes.
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