Barbour Kamil E, Lui Li-Yung, McCulloch Charles E, Ensrud Kristine E, Cawthon Peggy M, Yaffe Kristine, Barnes Deborah E, Fredman Lisa, Newman Anne B, Cummings Steven R, Cauley Jane A
Department of Epidemiology, University of Pittsburgh, Pennsylvania.
California Pacific Medical Center Research Institute, San Francisco.
J Gerontol A Biol Sci Med Sci. 2016 Dec;71(12):1609-1615. doi: 10.1093/gerona/glw071. Epub 2016 Apr 15.
Prior studies have only considered one measurement of physical performance in its relationship to fractures and mortality. A single measurement is susceptible to large within-person changes over time, and thus, may not capture the true association between physical performance and the outcomes of interest.
Using data from the Study of Osteoporotic Fractures, we followed 7,015 women enrolled prior to age 80 years who had outcome information beyond this age. Trajectories of walking speed (m/s) and chair stand speed (stands/s) were estimated up to the last visit prior to age 80 years using mixed-effects linear regression. Physical performance at age 80 (PF_age80) was assessed at the last visit prior to age 80 years. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards regression and multivariate models adjusted for all other covariates.
Greatest walking speed decline and chair stand speed decline were both associated with higher risk of hip fracture (HR: 1.28; 95% CI: 1.03, 1.58 and HR: 1.26; 95% CI: 1.03, 1.54, respectively), but not nonspine fractures. Greatest walking speed decline and chair stand speed decline were both associated with a significant 29% (95% CI: 17-42%) and 27% (95% CI: 15-39%) increased risk of mortality, respectively.
Greatest declines in walking speed and chair stand speed were both associated with an increased risk of hip fracture and mortality independent of PF_age80 and other important confounders. Both physical performance change and the single physical performance measurement should be considered in the etiology of hip fracture and mortality.
先前的研究仅考虑了身体机能的一项测量指标与骨折及死亡率之间的关系。单一测量指标容易受到个体随时间的大幅变化影响,因此可能无法捕捉身体机能与感兴趣的结局之间的真正关联。
利用骨质疏松性骨折研究的数据,我们追踪了7015名80岁之前入组且在该年龄之后有结局信息的女性。使用混合效应线性回归估计至80岁之前最后一次访视时的步行速度(米/秒)和从椅子上站起速度(次/秒)轨迹。80岁时的身体机能(PF_age80)在80岁之前的最后一次访视时进行评估。使用Cox比例风险回归和针对所有其他协变量进行调整的多变量模型估计风险比(HR)和95%置信区间(CI)。
最大步行速度下降和最大从椅子上站起速度下降均与髋部骨折风险较高相关(HR分别为1.28;95%CI:1.03,1.58和HR为1.26;95%CI:1.03,1.54),但与非脊柱骨折无关。最大步行速度下降和最大从椅子上站起速度下降分别与死亡率显著增加29%(95%CI:17 - 42%)和27%(95%CI:15 - 39%)相关。
最大步行速度下降和最大从椅子上站起速度下降均与髋部骨折和死亡率增加相关,独立于PF_age80和其他重要混杂因素。在髋部骨折和死亡率的病因学中,应同时考虑身体机能变化和单一身体机能测量指标。