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Mortality, falls and slow walking speed are predicted by different muscle strength and physical performance measures in women and men.

Authors :
Zanker J
Scott D
Alajlouni D
Kirk B
Bird S
DeBruin D
Vogrin S
Bliuc D
Tran T
Cawthon P
Duque G
Center JR
Source :
Archives of gerontology and geriatrics [Arch Gerontol Geriatr] 2023 Nov; Vol. 114, pp. 105084. Date of Electronic Publication: 2023 May 30.
Publication Year :
2023

Abstract

Background: Different measures of muscle strength, physical performance and body size/composition are used in various sarcopenia definitions. This study investigated which baseline measures best predict incident mortality and falls, and prevalent slow walking speed in older women and men.<br />Materials and Methods: Data for 899 women (mean age±standard deviation, 68.7 ± 4.3 years) and 497 men (69.4 ± 3.9 years) from the Dubbo Osteoporosis Epidemiology Study 2, comprising sixty variables for muscle strength (quadriceps strength), physical performance (walking speed, timed up and go (TUG) test, sit to stand (STS) test), body size (weight, height, body mass index) and body composition (lean mass, body fat) were included. Sex-stratified Classification and Regression Tree (CART) analyses calculated baseline variable accuracy for predicting incident mortality and falls, and prevalent slow walking speed (<0.8 m/s).<br />Results: Over 14.5 years, 103/899 (11.5%) women and 96/497 (19.3%) men died, 345/899 (38.4%) women and 172/497 (34.6%) men had ≥1 fall, and 304/860 (35.3%) women and 172/461 (31.7%) had baseline slow walking speed (<0.8 m/s). CART models identified age and walking speed adjusted for height as the most important predictors for mortality in women, and quadriceps strength (with adjustments) as the most important predictor for mortality in men. In both sexes, STS (with adjustments) was the most important predictor for incident falls, and TUG test was the most important predictor for prevalent slow walking speed. Body composition measures were not important predictors for any outcome.<br />Conclusions: Muscle strength and physical performance variables and cut points predict falls and mortality differently in women and men, suggesting targeted sex-specific application of selected measures may improve outcome prediction in older adults.<br />Competing Interests: Declaration of Competing Interest BK reports consultancy/honorarium fees from the following companies/enterprises that work in the medical and/or musculoskeletal felds: Abbott Nutrition (UK); Academy of Nutrition and Dietetics (USA); AusDoc (Australian Doctor). Dr. Kirk is also supported by a research grant from TSI Pharmaceuticals. PC reports being a consultant to BioAge Labs. GD reports paid consultancy for TSI, Abbott, and Nutricia. JRC reports honoraria for educational talks and advisory boards from Amgen and research support from Amgen.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-6976
Volume :
114
Database :
MEDLINE
Journal :
Archives of gerontology and geriatrics
Publication Type :
Academic Journal
Accession number :
37290229
Full Text :
https://doi.org/10.1016/j.archger.2023.105084