Appendicular Skeletal Muscle Mass Index Level (ASMI) and Its Influencing Factors in Healthy Adult Males

  • Dan Yang Health Management Center, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, 637000, China
  • Hongyuan Zhao Health Management Center, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, 637000, China
  • Rong Lei Health Management Center, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, 637000, China
  • Yun Li Health Management Center, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, 637000, China
  • Xiaoyan Zhou Health Management Center, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, 637000, China
  • Fangtao Yuan Health Management Center, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, 637000, China
  • Yimin Jiang Health Management Center, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, 637000, China
  • Mi Liu Health Management Center, Affiliated Hospital of North Sichuan Medical College, Nanchong City, Sichuan Province, 637000, China
Keywords: Appendicular skeletal muscle mass index; Sarcopenia; Healthy population; Bioelectrical impedance method

Abstract

Background: We aimed to retrospectively analyze the level of appendicular skeletal muscle mass index (ASMI) in adult males and its influencing factors for early screening and intervention of sarcopenia.

Methods: From January 2020 to December 2021, adult male medical examiners from the Health Management Center of the Affiliated Hospital of North Sichuan Medical College, Chengdu City, China were selected as the research subjects. The ASMI level was measured by bioelectrical impedance (BIA) method. The subjects were divided into four groups according to the quartiles of ASMI level, the levels of related indicators between the groups were compared, and the related factors affecting the ASMI level were analyzed.

Results: The detection rate of sarcopenia was about 1.09% (78/7187). One-way ANOVA or nonparametric test results showed that age, BMI, WHR, SBP, DBP, FPG, HbA1c, AST, ALT, GGT, Cr, UA, TG, TC, HDL-C, LDL-C and FT3 levels were significantly different among the four ASMI groups (P<0.05). ASMI was positively correlated with BMI, WHR, SBP, DBP, FPG, HbA1c, AST, ALT, GGT, Cr, UA, TG, TC, LDL-C, FT3, and TSH (all P<0.05); negatively correlated with age and HDL-C (all P<0.05). Age, WHR and TG were independent risk factors for ASMI level, and BMI was an independent protective factor for ASMI level.

Conclusion: The ASMI level in healthy adult males is related to age, obesity, blood pressure, glucose and lipid metabolism disorder, inflammation and thyroid hormone, among which age, BMI, WHR and TG are independent influencing factors of ASMI level.

 

Published
2023-08-17
Section
Articles