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使用步数活动监测来描述社区居住老年人的日常活动。

Using step activity monitoring to characterize ambulatory activity in community-dwelling older adults.

作者信息

Cavanaugh James T, Coleman Kim L, Gaines Jean M, Laing Linda, Morey Miriam C

机构信息

Department of Veterans Affairs Medical Center, Durham, NC 27705, USA.

出版信息

J Am Geriatr Soc. 2007 Jan;55(1):120-4. doi: 10.1111/j.1532-5415.2006.00997.x.

Abstract

OBJECTIVES

To explore the potential of using step activity monitoring to detect differences in ambulatory activity associated with advancing age and declining function in community-dwelling seniors.

DESIGN

Cross-sectional pilot study.

SETTING

General communities of Seattle, Washington; Catonsville, Maryland; and Durham, North Carolina.

PARTICIPANTS

Thirty healthy younger adults, 28 healthy older adults, and 12 older adults reporting functional limitations.

MEASUREMENTS

Ambulatory activity data were collected over 6 days with the StepWatch 3. Average daily values were calculated for number of steps, number of minutes of activity, number of activity bouts, variability of minute-to-minute activity, and randomness of minute-to-minute activity fluctuations.

RESULTS

Healthy older adults engaged in fewer bouts of activity (P=.03) and displayed less-variable activity (P=.02) than younger adults. Older adults reporting functional limitations not only engaged in fewer bouts of activity (P=.009) and less variable activity (P<.001) than younger adults, but also accumulated fewer total steps (P=.003) and minutes of activity (P=.008) and had less-random minute-to-minute activity fluctuations (P=.02).

CONCLUSION

Step activity monitoring data were useful for detecting differences in ambulatory activity according to age and functional limitation. Monitor-based measures reflecting patterns of ambulatory activity show promise for use in studies of physical functioning.

摘要

目的

探讨使用步数活动监测来检测社区居住老年人中与年龄增长和功能下降相关的日常活动差异的潜力。

设计

横断面试点研究。

地点

华盛顿州西雅图、马里兰州卡顿斯维尔和北卡罗来纳州达勒姆的普通社区。

参与者

30名健康的年轻人、28名健康的老年人和12名报告有功能受限的老年人。

测量

使用StepWatch 3在6天内收集日常活动数据。计算步数、活动分钟数、活动次数、每分钟活动的变异性以及每分钟活动波动的随机性的每日平均值。

结果

与年轻人相比,健康的老年人活动次数更少(P = 0.03),活动变异性更小(P = 0.02)。报告有功能受限的老年人不仅与年轻人相比活动次数更少(P = 0.009),活动变异性更小(P < 0.001),而且总步数(P = 0.003)和活动分钟数(P = 0.008)更少,每分钟活动波动的随机性更小(P = 0.02)。

结论

步数活动监测数据有助于根据年龄和功能受限检测日常活动的差异。基于监测的反映日常活动模式的测量方法在身体功能研究中显示出应用前景。

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