ArticleJournal of Korean medical science2019
Metabolic Syndrome Severity Score in Korean Adults: Analysis of the 2010-2015 Korea National Health and Nutrition Examination Survey.
Article in Journal of Korean medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 36 citations in OpenAlex.
- When Fiber Does Not Protect: Evaluating Statistical Interaction Between Dietary Fiber, Sodium-to-Potassium Ratio, and Metabolic Syndrome in South Korean Adults.Healthcare (Basel, Switzerland) · 2026Article
- Carbohydrate-dependent interaction between AMY1A/AMY2B copy number variation and APOA5 rs651821 associated with hypertriglyceridemia in Korean middle-aged adults.BMC nutrition · 2026Article
- Data-driven glycolipid network phenotypes reveal a graded risk spectrum for cardiometabolic multimorbidity: a prospective study in middle-aged and older Chinese adults.Lipids in health and disease · 2026Article
- Quantifying Metabolic Syndrome Severity: Methodological Evolution, Clinical Validation, and Translational Perspectives.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Review
- Chronic kidney disease risk assessment: Findings from backward-looking study using annual health check-up data in Japan.Diabetes, obesity & metabolism · 2025Article
- Relationship between body roundness index and mortality rates and life expectancy in populations with metabolic syndrome.Frontiers in cardiovascular medicine · 2025Article
- Analysis of sleep duration, energy intakes, physical activity, and metabolic syndrome based on the presence or absence of obesity and hypertension in working Korean adults.Frontiers in public health · 2025Article
- Effects of weekend-focused exercise on obesity-related hormones and metabolic syndrome markers in male high school students.Journal of exercise rehabilitation · 2024Article
- Optimal Cut-off Points of the Standardized Continuous Metabolic Syndrome Severity Score (cMetS-S) for Predicting Cardiovascular Disease (CVD) and CVD Mortality in the Tehran Lipid and Glucose Study (TLGS).International journal of endocrinology and metabolism · 2024Article
- The effect of PAP on UACR and metabolic indexes in patients with MS and OSAHS.Sleep & breathing = Schlaf & Atmung · 2024Article
- Harnessing Metabolic Indices as a Predictive Tool for Cardiovascular Disease in a Korean Population without Known Major Cardiovascular Event.Diabetes & metabolism journal · 2024Article
- Gender differences in prevalence and associated factors of metabolic syndrome in first-treatment and drug-naïve schizophrenia patients.Annals of general psychiatry · 2023Article
- Association of main meal frequency and skipping with metabolic syndrome in Korean adults: a cross-sectional study.Nutrition journal · 2023Article
- Development and validation of a continuous metabolic syndrome severity score in the Tehran Lipid and Glucose Study.Scientific reports · 2023Article
- Oxidative balance score was negatively associated with the risk of metabolic syndrome, metabolic syndrome severity, and all-cause mortality of patients with metabolic syndrome.Frontiers in endocrinology · 2023Article
- Association of the "Weekend Warrior" and Other Physical Activity Patterns with Metabolic Syndrome in the South Korean Population.International journal of environmental research and public health · 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
- Metabolic Syndrome Severity Score, Comparable to Serum Creatinine, Could Predict the Occurrence of End-Stage Kidney Disease in Patients with Antineutrophil Cytoplasmic Antibody-Associated Vasculitis.Journal of clinical medicine · 2021Article
- Association between heavy metals, high-sensitivity C-reaction protein and 10-year risk of cardiovascular diseases among adult Korean population.Scientific reports · 2021Article
- Metabolic Syndrome Severity Score for Predicting Cardiovascular Events: A Nationwide Population-Based Study from Korea.Diabetes & metabolism journal · 2021Article
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
backgroundContinuous metabolic syndrome (MS) severity scores that can track metabolic risk in individuals over time have been developed for Western populations. The present study aimed to develop gender- and age-specific equations for MS severity scores in Korean adults.
methodsUsing data from the Korea National Health and Nutrition Examination Surveys (KNHANES) IV (2010-2012) and VI (2013-2015), we performed a confirmatory factor analysis of single MS factor that allowed for differential loadings across groups to generate gender- and age-specific, continuous MS severity scores. Then, we validated this equation in a different dataset of Korean adults.
resultsIn confirmatory analysis, waist circumference had the highest factor loading, indicating that waist circumference had the strongest correlation with MS among Korean adults. Lower factor loadings (< 0.4) among Korean adults aged 40-59 years were noted for systolic blood pressure and fasting glucose. MS severity score values were significantly correlated with metabolic parameters, including high-sensitivity C-reactive-protein, glycated hemoglobin, and homeostasis model assessment of insulin resistance. Furthermore, MS severity scores well predicted traditional MS according to receiver operating characteristic analysis in a validation dataset (KNHANES VII). In a longitudinal cohort dataset, participants diagnosed with Adult Treatment Program III (ATP-III) MS after an initial assessment had progressively higher baseline MS severity scores in relationship to their time until ATP-III MS diagnosis.
conclusionThe new MS severity score equations for Korean adults proposed in this study provide a clinically-accessible continuous measure of MS for potential use in identifying adults at higher risk for MS-related diseases and following changes within individuals over time.
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