Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Department of Physical Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania.
J Am Geriatr Soc. 2019 Oct;67(10):2072-2076. doi: 10.1111/jgs.16049. Epub 2019 Jul 18.
BACKGROUND/OBJECTIVES: To assess whether gait speed under complex conditions predicts long-term risk for mobility disability as well as or better than usual-pace gait speed.
Longitudinal cohort study.
SETTING/PARTICIPANTS: Subsample of Health Aging and Body Composition study with follow-up from 2002 to 2003 to 2010 to 2011, including 337 community-dwelling adults (mean age = 78.5 years, 50.7% female, 26.1% black).
Associations of gait speed measured under usual-pace, fast-pace, dual-task, and narrow-path conditions with mobility disability, defined by any self-reported difficulty walking ¼ mile assessed annually, were tested by Cox proportional hazard models adjusted for demographic and health characteristics. Models were fitted for each walking condition, and R statistics were used to compare predictive value across models. Models were repeated for persistent mobility disability, defined as at least two consecutive years of mobility disability.
Mobility disability occurred in 204 (60.5%) participants over the 8-year follow-up. There was a lower hazard of developing mobility disability with faster gait speed under all conditions. Hazard ratios, confidence intervals, and R of gait speed predicting mobility disability were similar across all four walking conditions (R range = 0.22-0.27), but were strongest for dual-task gait speed (hazard ratio [95% confidence interval], R of fully adjusted models = 0.81 [0.75-0.88], 0.27). Results were comparable for persistent mobility disability (R range = 0.26-0.28).
Slower gait speed under both usual-pace and complex conditions may be a clinical indicator of future risk of mobility disability. These results support the call for increased use of gait speed measures in routine geriatric care. J Am Geriatr Soc 67:2072-2076, 2019.
背景/目的:评估复杂条件下的步态速度是否能够预测长期的行动不便风险,以及其预测能力是否优于通常步速下的步态速度。
纵向队列研究。
地点/参与者:健康老龄化和身体成分研究的子样本,随访时间为 2002 年至 2003 年,至 2010 年至 2011 年,包括 337 名居住在社区的成年人(平均年龄为 78.5 岁,50.7%为女性,26.1%为黑人)。
通过 Cox 比例风险模型,根据人口统计学和健康特征进行调整,检验了通常步速、快速步速、双重任务和狭窄路径条件下测量的步态速度与行动不便的关系,行动不便的定义为每年评估的任何自我报告的行走四分之一英里困难。为每种行走条件拟合模型,并使用 R 统计量比较模型的预测价值。对于持续的行动不便,定义为至少连续两年的行动不便,重复了模型。
在 8 年的随访中,204 名(60.5%)参与者出现了行动不便。在所有条件下,步态速度越快,发生行动不便的风险越低。所有四种行走条件下,步态速度预测行动不便的危险比、置信区间和 R 均相似(R 范围为 0.22-0.27),但双重任务步态速度最强(危险比[95%置信区间],完全调整模型的 R=0.81[0.75-0.88],0.27)。对于持续的行动不便,结果是可比的(R 范围为 0.26-0.28)。
在通常的步速和复杂条件下,较慢的步态速度可能是未来行动不便风险的临床指标。这些结果支持在常规老年护理中增加步态速度测量的使用。美国老年学会杂志 67:2072-2076,2019。