Cesari Matteo, Kritchevsky Stephen B, Newman Anne B, Simonsick Eleanor M, Harris Tamara B, Penninx Brenda W, Brach Jennifer S, Tylavsky Frances A, Satterfield Suzanne, Bauer Doug C, Rubin Susan M, Visser Marjolein, Pahor Marco
Department of Aging and Geriatric Reseach, Institute on Aging, University of Florida, Gainesville, 32611, USA.
J Am Geriatr Soc. 2009 Feb;57(2):251-9. doi: 10.1111/j.1532-5415.2008.02126.x.
To determine how three different physical performance measures (PPMs) combine for added utility in predicting adverse health events in elders.
Prospective cohort study.
Health, Aging and Body Composition Study.
Three thousand twenty-four well-functioning older persons (mean age 73.6).
Timed gait, repeated chair stands, and balance (semi- and full-tandem, and single leg stands each held for 30 seconds) tests were administered at baseline. Usual gait speed was categorized to distinguish high- and low-risk participants using the previously established 1-m/s cutpoint. The same population-percentile (21.3%) was used to identify cutpoints for the repeated chair stands (17.1 seconds) and balance (53.0 seconds) tests. Cox proportional hazard analyses were performed to evaluate the added value of PPMs in predicting mortality, hospitalization, and (severe) mobility limitation events over 6.9 years of follow-up.
Risk estimates for developing adverse health-related events were similarly large for each of the three high-risk groups considered separately. Having more PPM scores at the high-risk level was associated with a greater risk of developing adverse health-related events. When all three PPMs were considered, having only one poor performance was sufficient to indicate a highly significantly higher risk of (severe) lower extremity and mortality events.
Although gait speed is considered to be the most important predictor of adverse health events, these findings demonstrate that poor performance on other tests of lower extremity function are equally prognostic. This suggests that chair stand and standing balance performance may be adequate substitutes when gait speed is unavailable.
确定三种不同的身体机能测量指标(PPMs)如何结合使用,以增强预测老年人不良健康事件的效用。
前瞻性队列研究。
健康、衰老与身体成分研究。
3024名功能良好的老年人(平均年龄73.6岁)。
在基线时进行定时步态、重复起坐和平衡测试(半串联、全串联和单腿站立,每种姿势保持30秒)。根据先前确定的1米/秒的切点,将平常步态速度进行分类,以区分高风险和低风险参与者。使用相同的人群百分位数(21.3%)来确定重复起坐测试(17.1秒)和平衡测试(53.0秒)的切点。进行Cox比例风险分析,以评估PPMs在预测6.9年随访期间的死亡率、住院率和(严重)行动能力受限事件方面的附加价值。
分别考虑的三个高风险组中,发生与健康相关不良事件的风险估计值同样高。在高风险水平上有更多的PPM分数与发生与健康相关不良事件的风险更大相关。当考虑所有三项PPMs时,仅一项表现不佳就足以表明发生(严重)下肢和死亡事件的风险显著更高。
尽管步态速度被认为是不良健康事件的最重要预测指标,但这些发现表明,下肢功能其他测试中的不佳表现同样具有预后意义。这表明,当无法获得步态速度时,起坐和站立平衡表现可能是合适的替代指标。