Title

Physical Working Capacity At Fatigue Threshold (PwcFt) Is Associated With Sarcopenia-Related Body Composition And Measures Of Functionality In Older Adults

Keywords

Aging; Disability; Neuromuscular function; Skeletal muscle index

Abstract

The relationship between physical working capacity at fatigue threshold (PWCFT) and common measures used to assess sarcopenia in older adults were examined. Fifty-eight older adults (age: 71.1±6.2 y; BMI: 28.0±5.4kg/m2) completed the testing procedures. Sarcopenia-related body composition was measured by dual-energy x-ray absorptiometry and participants performed a discontinuous cycle ergometry test to determine PWCFT. Functionality assessments included maximal isometric grip strength (GRIP) and sit-to-stand (STS) repetitions in 30seconds. Muscle quality (MQ) was defined as GRIP relative to appendicular lean soft tissue (ALST), while skeletal muscle index (SMI) was defined as ALST/height2. Pearson correlations were used to examine the relationships among dependent variables. PWCFT showed significant relationships with ALST (r=0.57), SMI (r=0.47), body fat percentage (r=-0.50), GRIP (r=0.49), and STS (r=0.44). For follow-up analyses, study participants were categorized into low sarcopenia risk (n=31) or high sarcopenia risk (n=27) groups by SMI. Sarcopenia risk was associated with PWCFT [odds ratio (OR): 1.051, 95% confidence interval (CI): 1.016-1.087] and STS (OR: 1.305, CI: 1.060-1.607), but not GRIP (OR: 1.098, CI: 0.989-1.218). Using receiver operator characteristic curve analysis, both PWCFT [area under the curve (AUC): 0.737, CI: 0.608-0.866, optimal cutoff: 37.5 watts] and STS (AUC: 0.749, CI: 0.623-0.874, optimal cutoff: 12.5 repetitions] showed discriminative ability with regard to sarcopenia risk. The current data suggest that the neuromuscular fatigue threshold, as measured by PWCFT, is related to measures of body composition and function in older adults.

Publication Date

1-1-2014

Publication Title

Archives of Gerontology and Geriatrics

Volume

59

Issue

2

Number of Pages

300-304

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.archger.2014.04.012

Socpus ID

84921634612 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84921634612

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