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Asian J Kinesiol > Volume 18(4); 2016 > Article
The Official Journal of the Korean Academy of Kinesiology 2016;18(4):15-23.
DOI: https://doi.org/10.15758/jkak.2016.18.4.15    Published online December 30, 2016.
Efficacy in methods of sarcopenia diagnosis index.
Sunga Kong, Soonchang Sung, Hyunsoo Kim
Sungkyunkwan University
Seoul National University of Science And Technology
Correspondence:  Hyunsoo Kim,
Email: hskim@seoultech.ac.kr
Received: 9 November 2016   • Accepted: 27 November 2016
Abstract
PURPOSE
Sarcopenia is a term utilized to define the loss of muscle mass and strength that occurs with aging. Sarcopenia is believed to play a major role in the pathogenesis of frailty and functional impairment that occurs with old age. The aim of this study was to compared the prevalence of sarcopenia assessed using different diagnostic tools.
METHODS
This study included 131 women elderly subjects aged over 65 years. Body composition was measured by bioelectrical impedance. Physical fitness was evaluated with 8 tests (grip and leg strength, sit-and-reach, chair sit to stand, one leg stand with open eyes, timed up and go, 4-and 10 m walking speed). Sarcorpenia was assessed by three methods (ASM/Ht 2 , SMI%, and MAMC). ASM/Ht 2 was defined as ASM(appedicular skeletal mass) divided by body height in meters squared. SMI(skeletal muscle index)(%) was computed as (SMM/weight(kg) × 100), to determine relative sarcopenia, after calculation of SMM(skeletal muscle mass) as above from BI-derived ASM. MAMC(mid-arm muscle circumference) was calculated using the following standard formula (MAMC=mid-arm circumferenc-(3.14×triceps skinfold thickness). ASM/Ht 2 or SMI% were <- 2 SD from the mean of the young reference group.
RESULTS
The prevalence of sarcopenia was 28(21.4%) by ASM (kg/Ht 2 ) and 12(9.1%) by SMI(%). ASM/Ht 2 (r=.884) and SMI(%) (r=.443) showed the high correlation with skeletal muscle. Nevertheless SMI(%) was higher correlation between BMI, SMM(kg) and %BF than MAMC and ASM/Ht 2 .
CONCLUSION
Our paper summarises currently available data defining sarcopenia cut-off point by ASM/Ht 2 , SMI(%), Anthropometry(mid-arm, calf, thigh) and AWGS(asian working group for sarcopenia) algorithm for sarcopenia.
Keywords: sarcopenia, elderly women, muscle function, skeletal muscle mass, physical function
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