Predicting sarcopenia from functional measures among community-dwelling older adults

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• 作者：Michelle Gray ; Jordan M. Glenn ; Ashley Binns
• 关键词：Lean tissue mass ; Sarcopenia ; Physical function
• 刊名：AGE
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：38
• 期：1
• 全文大小：1,046 KB
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• 作者单位：Michelle Gray (1) (2)
  Jordan M. Glenn (3)
  Ashley Binns (1) (2)
  
  1. Human Performance Laboratory, University of Arkansas, Fayetteville, AR, USA
  2. Office for Studies on Aging, University of Arkansas, Fayetteville, AR, USA
  3. Sport & Movement Laboratory, Lousiana Tech University, Ruston, LA, USA
  
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Life Sciences
  Cell Biology
  Geriatrics and Gerontology
  Molecular Medicine
  
• 出版者：Springer Netherlands
• ISSN：1574-4647

文摘

Sarcopenia is defined as age-related lean tissue mass (LTM) loss resulting in reduced muscular strength, physical function, and mobility. Up to 33 % of older adults currently are sarcopenic, with likely many more undiagnosed. The purpose of this investigation was to predict sarcopenia status from easily accessible functional measures of community-dwelling older adults. Forty-three community-dwelling older adults (n = 32 females and n = 11 males) participated in the present investigation. Inclusion criteria included ≥65 years of age, mini-mental state examination score ≥24, and no falls within previous 12 months. All subjects completed their appendicular skeletal mass (ASM) assessment via dual-energy X-ray absorptiometry (DXA) and were categorized as either sarcopenic or non-sarcopenic. Physical assessments included 10-m usual walk, hand-grip (HG) strength, 6-min walk, 8-ft up-and-go, 30-s chair stand, 30-s arm curl, and sit-to-stand muscular power. A forward, stepwise multiple regression analysis revealed that age, sex, weight, height, 10-m walk, HG, and sit-to-stand muscular power account for 96.1 % of the variance in ASM. The area under the curve was 0.92 for correctly identifying sarcopenic participants compared to their actual classification. This is the first prediction model used to identify sarcopenia based on parameters of demographic and functional fitness measures in community-dwelling older adults. The ability to accurately identify sarcopenia in older adults is imperative to their quality of life and ability to perform activities of daily living. Keywords Lean tissue mass Sarcopenia Physical function