Decline in Muscle Strength and Performance Predicts Fracture Risk in Elderly Women and Men.

Alajlouni, D; Bliuc, D; Tran, T; Eisman, JA; Nguyen, TV; Center, JR

Decline in Muscle Strength and Performance Predicts Fracture Risk in Elderly Women and Men.

Alajlouni, D Bliuc, D Tran, T Eisman, JA Nguyen, TV Center, JR

Permalink

Publisher:: ENDOCRINE SOC
Publication Type:: Journal Article
Citation:: The Journal of clinical endocrinology and metabolism, 2020, 105, (9), pp. E3363-E3373
Issue Date:: 2020-09

Closed Access

	Filename	Description	Size
	00004678-202009000-00051.pdf	Published version	189.83 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Alajlouni, D
dc.contributor.author	Bliuc, D
dc.contributor.author	Tran, T
dc.contributor.author	Eisman, JA
dc.contributor.author	Nguyen, TV
dc.contributor.author	Center, JR
dc.date.accessioned	2020-11-27T20:48:03Z
dc.date.available	2020-07-06
dc.date.available	2020-11-27T20:48:03Z
dc.date.issued	2020-09
dc.identifier.citation	The Journal of clinical endocrinology and metabolism, 2020, 105, (9), pp. E3363-E3373
dc.identifier.issn	0021-972X
dc.identifier.issn	1945-7197
dc.identifier.uri	http://hdl.handle.net/10453/144428
dc.description.abstract	CONTEXT:Muscle strength and performance are associated with fractures. However, the contribution of their rate of decline is unclear. OBJECTIVE:To assess the independent contribution of the rate of decline in muscle strength and performance to fracture risk. DESIGN, SETTING, AND PARTICIPANTS:Community-dwelling women (n = 811) and men (n = 440) aged 60 years or older from the prospective Dubbo Osteoporosis Epidemiology Study followed from 2000 to 2018 for incident fracture. Clinical data, appendicular lean mass/height2 (ht)2, bone mineral density, quadricep strength/ht (QS), timed get-up-and-go (TGUG), 5 times repeated sit-to-stand (5xSTS), and gait speed (GS) measured biennially. Rates of decline in muscle parameters were calculated using ordinary least squares regression and fracture risk was assessed using Cox's models. MAIN OUTCOME:Incident low-trauma fracture ascertained by x-ray report. RESULTS:Apart from lean mass in women, all muscle parameters declined over time. Greater rates of decline in physical performance were associated with increased fracture risk in women (Hazard ratios [HRs] ranging from 2.1 (95% CI: 1.5-2.9) for GS to 2.7 (95% CI: 1.9-3.6) for 5xSTS, while in men only the decline in GS was associated with fracture risk (HR: 3.4 [95% CI: 1.8-6.3]). Baseline performance and strength were also associated with increased fracture risk in men (HRs ranging from 1.8 (95% CI: 1.1-3.0) for QS to 2.5 (95% CI: 1.5-4.1) for TGUG, but not in women. CONCLUSION:Rate of decline in physical performance in both genders, and baseline strength and performance in men, contributed independently to fracture risk. Sit-to-stand and GS were the tests most consistently associated with fractures. Further studies are required to determine whether muscle strength and/or performance improve the predictive accuracy of fracture prediction models.
dc.format	Print
dc.language	eng
dc.publisher	ENDOCRINE SOC
dc.relation	http://purl.org/au-research/grants/nhmrc/1070187
dc.relation.ispartof	The Journal of clinical endocrinology and metabolism
dc.relation.isbasedon	10.1210/clinem/dgaa414
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1103 Clinical Sciences, 1114 Paediatrics and Reproductive Medicine
dc.subject.classification	Endocrinology & Metabolism
dc.title	Decline in Muscle Strength and Performance Predicts Fracture Risk in Elderly Women and Men.
dc.type	Journal Article
utslib.citation.volume	105
utslib.location.activity	United States
utslib.for	1103 Clinical Sciences
utslib.for	1114 Paediatrics and Reproductive Medicine
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2020-11-27T20:48:01Z
pubs.issue	9
pubs.publication-status	Published
pubs.volume	105
utslib.citation.issue	9

Abstract:

CONTEXT:Muscle strength and performance are associated with fractures. However, the contribution of their rate of decline is unclear. OBJECTIVE:To assess the independent contribution of the rate of decline in muscle strength and performance to fracture risk. DESIGN, SETTING, AND PARTICIPANTS:Community-dwelling women (n = 811) and men (n = 440) aged 60 years or older from the prospective Dubbo Osteoporosis Epidemiology Study followed from 2000 to 2018 for incident fracture. Clinical data, appendicular lean mass/height2 (ht)2, bone mineral density, quadricep strength/ht (QS), timed get-up-and-go (TGUG), 5 times repeated sit-to-stand (5xSTS), and gait speed (GS) measured biennially. Rates of decline in muscle parameters were calculated using ordinary least squares regression and fracture risk was assessed using Cox's models. MAIN OUTCOME:Incident low-trauma fracture ascertained by x-ray report. RESULTS:Apart from lean mass in women, all muscle parameters declined over time. Greater rates of decline in physical performance were associated with increased fracture risk in women (Hazard ratios [HRs] ranging from 2.1 (95% CI: 1.5-2.9) for GS to 2.7 (95% CI: 1.9-3.6) for 5xSTS, while in men only the decline in GS was associated with fracture risk (HR: 3.4 [95% CI: 1.8-6.3]). Baseline performance and strength were also associated with increased fracture risk in men (HRs ranging from 1.8 (95% CI: 1.1-3.0) for QS to 2.5 (95% CI: 1.5-4.1) for TGUG, but not in women. CONCLUSION:Rate of decline in physical performance in both genders, and baseline strength and performance in men, contributed independently to fracture risk. Sit-to-stand and GS were the tests most consistently associated with fractures. Further studies are required to determine whether muscle strength and/or performance improve the predictive accuracy of fracture prediction models.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/144428