Validity of the pediatric simple metabolic syndrome score. Issue 6 (November 2020)

• Record Type: Journal Article
• Authors: Lee, Yeon Ji; Seo, Moon Young; Kim, Shin-Hye; Park, Mi Jung
• Is Part Of: Obesity research & clinical practice. Volume 14:Issue 6(2020)
• Page Start: 508
• Page End: 513
• Publication Date: 2020-11
• Subjects: NHANES -- Metabolic syndrome -- Pediatric obesity -- Korea; Obesity -- Research -- Periodicals; Obesity -- Treatment -- Periodicals; Obesity -- Periodicals; Obésité -- Recherche -- Périodiques; Obésité -- Traitement -- Périodiques; Obesity -- Research; Obesity -- Treatment; Electronic journals; Periodicals; 616.398
• DOI: 10.1016/j.orcp.2020.09.009
• Languages: English
• ISSNs: 1871-403X

Abstract

Abstract: Aims: To compare the validity of the conventional continuous metabolic syndrome score (ccMS) and pediatric simple metabolic syndrome score (PsiMS) for the prediction of MS in Korean adolescents. Methods: A total of 2983 adolescents aged 10–18 years who participated in the Korea National Health and Nutrition Examination Survey (2013–2017) were enrolled. The ccMS was calculated by aggregating the sex and age-specific z-scores of body mass index, systolic blood pressure (SBP), glucose, high-density lipoprotein cholesterol (HDL-C), and triglycerides. The PsiMS was calculated using the following formula: 〔2x(waist/height (cm)〕+〔glucose (mg/dL)/100〕+〔triglycerides (mg/dL)/150〕+〔SBP (mmHg)/130〕-〔HDL-C (mg/dL)/40〕. Results: Mean PsiMS was significantly higher in subjects with MS compared with those without MS (3.24 vs. 1.93 in boys, 3.11 vs. 1.80 in girls; P < 0.001). Both ccMS and PsiMS were significantly higher in subjects with more MS components compared to adolescents with fewer components (P-for-trend<0.001). Among the adolescents without MS but in the PsiMS quintile 5, 33.5% presented two or more MS components. The receiver operating characteristic analysis demonstrated an equally good performance of ccMS (AUC = 0.975) and PsiMS (AUC = 0.958) for identifying adolescent MS risk. PsiMS showed a good stratification of MS risk in the generalized linear model. Conclusion: PsiMS is an accurate and efficient scoring system to assess and monitor the risk of adolescent MS in the research and clinical practice.