KMID : 0191120190340060048
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Journal of Korean Medical Science 2019 Volume.34 No. 6 p.48 ~ p.48
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Metabolic Syndrome Severity Score in Korean Adults: Analysis of the 2010?2015 Korea National Health and Nutrition Examination Survey
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Huh Ji-Hye
Lee Jun-Hyeok Moon Jin-Sil Sung Ki-Chul Kim Jang-Young Kang Dae-Ryong
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Abstract
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Background: Continuous 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.
Methods: Using 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.
Results: In 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.
Conclusion: The 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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KEYWORD
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Metabolic Syndrome, Epidemiology, Obesity, Insulin Resistance
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