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KMID : 1036920230280040237
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Annals of Pediatric Endocrinology & Metabolism
2023 Volume.28 No. 4 p.237 ~ p.244
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Establishing reference values for percentage of appendicular skeletal muscle mass and their association with metabolic syndrome in Korean adolescents
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Lee Da-Hye
Kang Sung-Chan
Hwang Seung-Sik
Lee Yun-Jeong
Kim Hwa-Young
Lee Seong-Yong
Shin Choong-Ho
Kim Jae-Hyun
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Abstract
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Purpose: The association between appendicular skeletal muscle mass (ASM) and cardiometabolic risk has been emphasized. We estimated reference values of the percentage of ASM (PASM) and investigated their association with metabolic syndrome (MS) in Korean adolescents.
Methods: Data from the Korea National Health and Nutrition Examination Survey performed between 2009 and 2011 were used. Tables and graphs of reference PASM were generated using 1,522 subjects, 807 of whom were boys aged 10 to 18. The relationship between PASM and each component of MS in adolescents was further analyzed in 1,174 subjects, 613 of whom were boys. Moreover, the pediatric simple MS score (PsiMS), the homeostasis model assessment of insulin resistance (HOMA-IR), and the triglyceride-glucose (TyG) index were analyzed. Multivariate linear and logistic regressions adjusting for age, sex, household income, and daily energy intake were performed.
Results: In boys, PASM increased with age; the trend was different in girls, in whom PASM declined with age. PsiMS, HOMA-IR, and TyG index showed inverse associations with PASM (PsiMS, β=-0.105, P<0.001; HOMA-IR, β=-0.104, P<0.001; and TyG index, β=-0.013, P<0.001). PASM z-score was negatively associated with obesity (adjusted odds ratio [aOR], 0.22; 95% CI, 0.17?0.30), abdominal obesity (aOR, 0.27; 95% CI, 0.20?0.36), hypertension (aOR, 0.65; 95% CI, 0.52?0.80), and elevated triglycerides (aOR, 0.67; 95% CI, 0.56?0.79).
Conclusion: The probability of acquiring MS and insulin resistance decreased as PASM values increased. The reference range may offer clinicians information to aid in the effective management of patients. We urge clinicians to monitor body composition using standard reference databases.
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KEYWORD
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Skeletal muscle, Reference values, Metabolic syndrome, Insulin resistance, Pediatric obesity
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