Percentage of Appendicular Skeletal Muscle Mass Reference and Association with Metabolic Syndrome in Korean Adolescents

Lee Da Hye; Sung-Chan Kang; Seung-sik Hwang; Lee Yun Jeong; Kim Hwa Young; Lee Seong Yong; Shin Choong Ho; Jaehyun Kim

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ESPE Abstracts (2023) 97 P1-67

ESPE2023 Poster Category 1 Fat, Metabolism and Obesity (97 abstracts)

Percentage of Appendicular Skeletal Muscle Mass Reference and Association with Metabolic Syndrome in Korean Adolescents

Da Hye Lee ¹ , Sung-Chan Kang ² , Seung-sik Hwang ² , Yun Jeong Lee ³ , Hwa Young Kim ⁴ , Seong Yong Lee ⁵ , Choong Ho Shin ³ & Jaehyun Kim ⁴

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¹Chung-Ang University Hospital, Seoul, Korea, Republic of. ²Seoul National University, Seoul, Korea, Republic of. ³Seoul National University Children’s Hospital, Seoul, Korea, Republic of. ⁴Seoul National University Bundang Hospital, Seongnam, Korea, Republic of. ⁵Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea, Republic of

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 its association with metabolic syndrome (MS) in Korean adolescents.

Methods: Data from Korea National Health and Nutrition Examination Survey performed between 2009 and 2011 was used. Tables and graphs of reference PASM were generated using 1,522 subjects (807 boys) aged 10 to 18. The relationship between PASM and each component of MS in adolescents was further analyzed in 1,174 subjects (613 boys). Moreover, the pediatric simple metabolic syndrome score (PsiMS), 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, house income, and daily energy intake were performed.

Results: In boys, PASM increased with age, but girls showed a different trend that declines with age. PsiMS, HOMA-IR, and TyG index showed inverse associations with PASM (PsiMS, β –0.105, P-value <0.001; HOMA-IR, β -0.104, P-value <0.001; TyG index, β -0.013, P-value <0.001). PASM z-score was negatively associated with obesity (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).

Conclusions: The probability of acquiring MS and insulin resistance decreased with higher PASM values. The reference range may offer clinicians information that aid the effective management of patients. It is urged that clinicians monitor the body composition using standard reference databases.