Prevalence and risk factors of sarcopenia among adults living in nursing homes

Hugh E. Senior, Tim R. Henwood, Elaine M. Beller, Geoffrey K. Mitchell, Justin W L Keogh

Research output: Contribution to journalArticleResearchpeer-review

44 Citations (Scopus)
68 Downloads (Pure)

Abstract

Objectives Sarcopenia is a progressive loss of skeletal muscle and muscle function, with significant health and disability consequences for older adults. We aimed to evaluate the prevalence and risk factors of sarcopenia among older residential aged care adults using the European Working Group on Sarcopenia in Older People (EWGSOP) criteria. Study design A cross-sectional study design that assessed older people (n = 102, mean age 84.5 ± 8.2 years) residing in 11 long-term nursing homes in Australia. Main outcome measurements Sarcopenia was diagnosed from assessments of skeletal mass index by bioelectrical impedance analysis, muscle strength by handheld dynamometer, and physical performance by the 2.4 m habitual walking speed test. Secondary variables where collected to inform a risk factor analysis. Results Forty one (40.2%) participants were diagnosed as sarcopenic, 38 (95%) of whom were categorized as having severe sarcopenia. Univariate logistic regression found that body mass index (BMI) (Odds ratio (OR) = 0.86; 95% confidence interval (CI) 0.78-0.94), low physical performance (OR = 0.83; 95% CI 0.69-1.00), nutritional status (OR = 0.19; 95% CI 0.05-0.68) and sitting time (OR = 1.18; 95% CI 1.00-1.39) were predictive of sarcopenia. With multivariate logistic regression, only low BMI (OR = 0.80; 95% CI 0.65-0.97) remained predictive. Conclusions The prevalence of sarcopenia among older residential aged care adults is very high. In addition, low BMI is a predictive of sarcopenia.

Original languageEnglish
Pages (from-to)418-423
Number of pages6
JournalMaturitas
Volume82
Issue number4
DOIs
Publication statusPublished - 1 Dec 2015

Fingerprint

Sarcopenia
Nursing
Nursing Homes
Muscle
Logistics
Odds Ratio
Confidence Intervals
Acoustic impedance
Dynamometers
Factor analysis
Body Mass Index
Muscle Strength Dynamometer
Health
Logistic Models
Nutritional Status
Electric Impedance
Statistical Factor Analysis
Skeletal Muscle
Cross-Sectional Studies
Muscles

Cite this

Senior, Hugh E. ; Henwood, Tim R. ; Beller, Elaine M. ; Mitchell, Geoffrey K. ; Keogh, Justin W L. / Prevalence and risk factors of sarcopenia among adults living in nursing homes. In: Maturitas. 2015 ; Vol. 82, No. 4. pp. 418-423.
@article{a2dc35a1c0654691b7d7bd6d799b8e95,
title = "Prevalence and risk factors of sarcopenia among adults living in nursing homes",
abstract = "Objectives Sarcopenia is a progressive loss of skeletal muscle and muscle function, with significant health and disability consequences for older adults. We aimed to evaluate the prevalence and risk factors of sarcopenia among older residential aged care adults using the European Working Group on Sarcopenia in Older People (EWGSOP) criteria. Study design A cross-sectional study design that assessed older people (n = 102, mean age 84.5 ± 8.2 years) residing in 11 long-term nursing homes in Australia. Main outcome measurements Sarcopenia was diagnosed from assessments of skeletal mass index by bioelectrical impedance analysis, muscle strength by handheld dynamometer, and physical performance by the 2.4 m habitual walking speed test. Secondary variables where collected to inform a risk factor analysis. Results Forty one (40.2{\%}) participants were diagnosed as sarcopenic, 38 (95{\%}) of whom were categorized as having severe sarcopenia. Univariate logistic regression found that body mass index (BMI) (Odds ratio (OR) = 0.86; 95{\%} confidence interval (CI) 0.78-0.94), low physical performance (OR = 0.83; 95{\%} CI 0.69-1.00), nutritional status (OR = 0.19; 95{\%} CI 0.05-0.68) and sitting time (OR = 1.18; 95{\%} CI 1.00-1.39) were predictive of sarcopenia. With multivariate logistic regression, only low BMI (OR = 0.80; 95{\%} CI 0.65-0.97) remained predictive. Conclusions The prevalence of sarcopenia among older residential aged care adults is very high. In addition, low BMI is a predictive of sarcopenia.",
author = "Senior, {Hugh E.} and Henwood, {Tim R.} and Beller, {Elaine M.} and Mitchell, {Geoffrey K.} and Keogh, {Justin W L}",
year = "2015",
month = "12",
day = "1",
doi = "10.1016/j.maturitas.2015.08.006",
language = "English",
volume = "82",
pages = "418--423",
journal = "Maturitas",
issn = "0378-5122",
publisher = "Elsevier",
number = "4",

}

Prevalence and risk factors of sarcopenia among adults living in nursing homes. / Senior, Hugh E.; Henwood, Tim R.; Beller, Elaine M.; Mitchell, Geoffrey K.; Keogh, Justin W L.

In: Maturitas, Vol. 82, No. 4, 01.12.2015, p. 418-423.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Prevalence and risk factors of sarcopenia among adults living in nursing homes

AU - Senior, Hugh E.

AU - Henwood, Tim R.

AU - Beller, Elaine M.

AU - Mitchell, Geoffrey K.

AU - Keogh, Justin W L

PY - 2015/12/1

Y1 - 2015/12/1

N2 - Objectives Sarcopenia is a progressive loss of skeletal muscle and muscle function, with significant health and disability consequences for older adults. We aimed to evaluate the prevalence and risk factors of sarcopenia among older residential aged care adults using the European Working Group on Sarcopenia in Older People (EWGSOP) criteria. Study design A cross-sectional study design that assessed older people (n = 102, mean age 84.5 ± 8.2 years) residing in 11 long-term nursing homes in Australia. Main outcome measurements Sarcopenia was diagnosed from assessments of skeletal mass index by bioelectrical impedance analysis, muscle strength by handheld dynamometer, and physical performance by the 2.4 m habitual walking speed test. Secondary variables where collected to inform a risk factor analysis. Results Forty one (40.2%) participants were diagnosed as sarcopenic, 38 (95%) of whom were categorized as having severe sarcopenia. Univariate logistic regression found that body mass index (BMI) (Odds ratio (OR) = 0.86; 95% confidence interval (CI) 0.78-0.94), low physical performance (OR = 0.83; 95% CI 0.69-1.00), nutritional status (OR = 0.19; 95% CI 0.05-0.68) and sitting time (OR = 1.18; 95% CI 1.00-1.39) were predictive of sarcopenia. With multivariate logistic regression, only low BMI (OR = 0.80; 95% CI 0.65-0.97) remained predictive. Conclusions The prevalence of sarcopenia among older residential aged care adults is very high. In addition, low BMI is a predictive of sarcopenia.

AB - Objectives Sarcopenia is a progressive loss of skeletal muscle and muscle function, with significant health and disability consequences for older adults. We aimed to evaluate the prevalence and risk factors of sarcopenia among older residential aged care adults using the European Working Group on Sarcopenia in Older People (EWGSOP) criteria. Study design A cross-sectional study design that assessed older people (n = 102, mean age 84.5 ± 8.2 years) residing in 11 long-term nursing homes in Australia. Main outcome measurements Sarcopenia was diagnosed from assessments of skeletal mass index by bioelectrical impedance analysis, muscle strength by handheld dynamometer, and physical performance by the 2.4 m habitual walking speed test. Secondary variables where collected to inform a risk factor analysis. Results Forty one (40.2%) participants were diagnosed as sarcopenic, 38 (95%) of whom were categorized as having severe sarcopenia. Univariate logistic regression found that body mass index (BMI) (Odds ratio (OR) = 0.86; 95% confidence interval (CI) 0.78-0.94), low physical performance (OR = 0.83; 95% CI 0.69-1.00), nutritional status (OR = 0.19; 95% CI 0.05-0.68) and sitting time (OR = 1.18; 95% CI 1.00-1.39) were predictive of sarcopenia. With multivariate logistic regression, only low BMI (OR = 0.80; 95% CI 0.65-0.97) remained predictive. Conclusions The prevalence of sarcopenia among older residential aged care adults is very high. In addition, low BMI is a predictive of sarcopenia.

UR - http://www.scopus.com/inward/record.url?scp=84947870262&partnerID=8YFLogxK

U2 - 10.1016/j.maturitas.2015.08.006

DO - 10.1016/j.maturitas.2015.08.006

M3 - Article

VL - 82

SP - 418

EP - 423

JO - Maturitas

JF - Maturitas

SN - 0378-5122

IS - 4

ER -