Decline in Muscle Strength and Performance Predicts Fracture Risk in Elderly Women and Men
Decline in Muscle Strength and Performance Predicts Fracture Risk in Elderly Women and Men
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DOI:
10.1210/clinem/dgaa414
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发表时间:
2020-09-01
影响因子:
5.8
通讯作者:
Center, Jacqueline R.
中科院分区:
文献类型:
--
作者:
Alajlouni, Dima;Bliuc, Dana;Center, Jacqueline R.
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.