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논문검색

근감소증 진단 지표의 효용성에 관한 연구

원문정보

Efficacy in methods of sarcopenia diagnosis index

공성아, 성순창, 김현수

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

[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/Ht2, SMI%, and MAMC). ASM/Ht2 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/Ht2 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/Ht2) and 12(9.1%) by SMI(%). ASM/Ht2 (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/Ht2. [CONCLUSION] Our paper summarises currently available data defining sarcopenia cut-off point by ASM/Ht2, SMI(%), Anthropometry(mid-arm, calf, thigh) and AWGS(asian working group for sarcopenia) algorithm for sarcopenia.

목차

ABSTRACT
 서론
 연구방법
  연구대상
  체격 및 체력 측정 및 방법
  근감소증 진단법
  자료처리방법
 결과
 논의
 결론
 참고문헌

저자정보

  • 공성아 Sunga Kong. 균관대학교
  • 성순창 Soonchang Sung. 서울과학기술대학교
  • 김현수 Hyunsoo Kim. 서울과학기술대학교

참고문헌

자료제공 : 네이버학술정보

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