Woo J, Ho S C, Yu A L
Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Shatin.
J Am Geriatr Soc. 1999 Oct;47(10):1257-60. doi: 10.1111/j.1532-5415.1999.tb05209.x.
Increasing emphasis is being placed on physical performance measures as an outcome predictor. It is uncertain whether one or two simple measurements will have predictive value compared with a battery of tests.
To assess whether simple performance measures such as walking speed and stride length will predict dependency, mortality, and institutionalization.
A 3-year longitudinal study of a random sample of subjects.
Older people living in the community in Hong Kong, Special Administrative Region, China.
A total of 2032 Chinese subjects aged 70 years and older were recruited territory-wide by proportional random sampling and followed for 3 years.
Functional status was measured using the Barthel Index at baseline and follow-up. The time taken to walk a distance of 16 feet and the number of steps taken were measured at baseline. Stride length is estimated by dividing 16 by the average number of steps needed to complete the walk. Outcomes regarding dependency, mortality, and institutionalization at 36 months were recorded.
After excluding subjects lost to follow-up and those who had died, data were available for 559 men and 612 women. Univariate analysis showed that reduced walking speed and stride length were associated with increased risk of dependency, mortality, and institutionalization. In multivariate analysis for dependency and mortality, stride length, walking speed, age, and sex were included in the best prediction model (ROC = 0.798 and 0.707, respectively), whereas only stride length was included in the prediction for institutionalization (ROC = 0.764).
In terms of prevention or modifying outcomes, these two simple performance measures may be used as indicators for checking for occult disease and for interventional measures such as exercise prescription.
作为一种结果预测指标,身体机能测量正受到越来越多的重视。与一系列测试相比,一两项简单测量是否具有预测价值尚不确定。
评估诸如步行速度和步幅等简单机能测量指标能否预测失能、死亡率和入住养老院情况。
对受试者随机样本进行的为期3年的纵向研究。
中国香港特别行政区社区中的老年人。
通过按比例随机抽样在全地区招募了2032名70岁及以上的中国受试者,并对其进行了3年的随访。
在基线和随访时使用巴氏指数测量功能状态。在基线时测量行走16英尺的时间和步数。步幅通过将16除以完成行走所需的平均步数来估算。记录36个月时关于失能、死亡率和入住养老院情况的结果。
在排除失访和死亡的受试者后,获得了559名男性和612名女性的数据。单因素分析显示,步行速度和步幅降低与失能、死亡率和入住养老院风险增加相关。在失能和死亡率的多因素分析中,步幅、步行速度、年龄和性别被纳入最佳预测模型(受试者工作特征曲线下面积分别为0.798和0.707),而在入住养老院情况的预测中仅纳入了步幅(受试者工作特征曲线下面积为0.764)。
在预防或改善结果方面,这两项简单的机能测量指标可作为检查隐匿性疾病以及运动处方等干预措施的指标。