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评估“身体悬崖”:详细量化与年龄相关的日常体力活动模式差异。

Assessing the "physical cliff": detailed quantification of age-related differences in daily patterns of physical activity.

机构信息

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland.

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

出版信息

J Gerontol A Biol Sci Med Sci. 2014 Aug;69(8):973-9. doi: 10.1093/gerona/glt199. Epub 2013 Dec 14.

Abstract

BACKGROUND

In spite of evidence that physical activity has beneficial effects on health and age-related functional decline, there is a scarcity of detailed and accurate information on objectively measured daily activity and patterns of such activity in older adults.

METHODS

Participants in the Baltimore Longitudinal Study of Aging (n = 611, 50% male, mean age 67, range 32-93) wore the Actiheart portable activity monitor for 7 days in the free-living environment. The association between activity and age was modeled using a continuous log-linear regression of activity counts on age with sex, body mass index, employment status, functional performance, and comorbid conditions as covariates.

RESULTS

In the fully adjusted model, continuous analyses demonstrated that overall physical activity counts were 1.3% lower for each year increase in age. Although there were no differences among morning levels of activity, there was significantly lower afternoon and evening activity in older individuals (p < .01). After adjusting for age, poor functional performance, nonworking status, and higher body mass index were independently associated with less physical activity (p < .001).

CONCLUSIONS

The use of accelerometers to characterize minute-by-minute intensity, cumulative physical activity counts, and daily activity patterns provides detailed data not gathered by traditional subjective methods, particularly at low levels of activity. The findings of a 1.3% decrease per year in activity from mid-to-late life, and the corresponding drop in afternoon and evening activity, provide new information that may be useful when targeting future interventions. Further, this methodology addresses essential gaps in understanding activity patterns and trends in more sedentary sectors of the population.

摘要

背景

尽管有证据表明身体活动对健康和与年龄相关的功能下降有有益影响,但对于老年人的日常活动量和活动模式,缺乏详细和准确的信息。

方法

巴尔的摩纵向老龄化研究(Baltimore Longitudinal Study of Aging)的参与者(n = 611,50%为男性,平均年龄 67 岁,范围为 32-93 岁)在自由生活环境中佩戴 Actiheart 便携式活动监测器 7 天。使用活动计数与年龄的连续对数线性回归模型来模拟活动与年龄之间的关系,将性别、体重指数、就业状况、功能表现和合并症作为协变量。

结果

在完全调整的模型中,连续分析表明,每年年龄增加 1%,身体活动量就会减少 1.3%。虽然早晨的活动水平没有差异,但老年人下午和晚上的活动明显减少(p <.01)。在调整年龄后,功能表现不佳、非工作状态和较高的体重指数与较低的身体活动量独立相关(p <.001)。

结论

使用加速度计来描述每分钟的强度、累计身体活动量和日常活动模式,提供了传统主观方法无法收集的详细数据,尤其是在低活动水平下。从中年到晚年活动量每年减少 1.3%的发现,以及下午和晚上活动相应减少的发现,提供了新的信息,可能对未来干预的目标制定有用。此外,这种方法解决了理解更久坐人群的活动模式和趋势方面的重要差距。

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