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

Male Humans Female Aged Walking Speed / physiology Hand Strength / physiology Muscle Strength / physiology Sarcopenia / epidemiology Physical Functional Performance Walking
Falls Mortality Muscle strength Physical performance Sarcopenia

Journal

Archives of gerontology and geriatrics
ISSN: 1872-6976
Titre abrégé: Arch Gerontol Geriatr
Pays: Netherlands
ID NLM: 8214379

Informations de publication

Date de publication:
11 2023
Historique:
received: 16 02 2023
revised: 21 05 2023
accepted: 29 05 2023
medline: 13 9 2023
pubmed: 9 6 2023
entrez: 8 6 2023
Statut: ppublish

Résumé

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. 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). 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. 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.

Sections du résumé

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.
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).
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.
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.

Identifiants

DOI: 10.1016/j.archger.2023.105084 PMID: 37290229
pubmed: 37290229
pii: S0167-4943(23)00162-0
doi: 10.1016/j.archger.2023.105084
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105084

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

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.

Auteurs

Jesse Zanker (J)

Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia. Electronic address: jesse.zanker@unimelb.edu.au.

David Scott (D)

Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia; Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.

Dima Alajlouni (D)

Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Clinical School, St Vincent's Hospital, Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, Australia.

Ben Kirk (B)

Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia.

Stefanie Bird (S)

Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia; Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Burwood, Victoria, Australia.

Danielle DeBruin (D)

Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia; Institute of Health and Sport (IHeS), Victoria University, Melbourne, VIC, Australia.

Sara Vogrin (S)

Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia.

Dana Bliuc (D)

Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Clinical School, St Vincent's Hospital, Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, Australia.

Thach Tran (T)

Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Clinical School, St Vincent's Hospital, Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, Australia.

Peggy Cawthon (P)

Research Institute, California Pacific Medical Center, San Francisco, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, USA.

Gustavo Duque (G)

Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia; Department of Medicine - Western Health, The University of Melbourne, St. Albans, Victoria, Australia; Research Institute of the McGill University Health Centre, Department of Medicine, McGill University, Montreal, Quebec, Canada.

Jacqueline R Center (JR)

Skeletal Diseases Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia; Clinical School, St Vincent's Hospital, Faculty of Medicine and Health, University of New South Wales Sydney, Sydney, Australia.

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Mortality, falls and slow walking speed are...
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Mortality, falls and slow walking speed are...
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système locomoteur › Mouvement › Locomotion › Démarche › Vitesse de marche › Mortality, falls and slow walking speed are...
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système locomoteur › Force musculaire › Force de la main › Mortality, falls and slow walking speed are...
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système locomoteur › Force musculaire › Mortality, falls and slow walking speed are...
questionsmedicales.fr › États, signes et symptômes pathologiques › Signes et symptômes › Manifestations neurologiques › Manifestations neuromusculaires › Amyotrophie › Sarcopénie › Mortality, falls and slow walking speed are...
questionsmedicales.fr › Caractéristiques de la population › Santé › Aptitude physique › Performance fonctionnelle physique › Mortality, falls and slow walking speed are...
questionsmedicales.fr › Activités humaines › Activités de loisirs › Loisir › Sports › Marche à pied › Mortality, falls and slow walking speed are...