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Exploring patterns of accelerometry-assessed physical activity in elderly people

机译:探索通过加速度计评估的老年人的体育活动的模式

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Background Elderly people obtain significant health benefits from physical activity (PA), but the role of activity patterns has scarcely been researched. The present study aims to describe the patterns of PA among different intensities of activity in elderly people. We assess how patterns differ between more and less active groups (‘rare’, ‘average’, and ‘frequent’), and explore whether and how various PA parameters are associated with functional exercise capacity (FEC). Methods PA was measured in 168 subjects (78 males; 65–89 years of age), using a triaxial GT3X accelerometer for ten consecutive days. Subjects were divided into three groups by activity and the groups were compared. A multiple linear regression model was used to predict FEC. Results Participants greater than or equal to 80 years are most prone to being sedentary for long periods, while women and the obese are the groups most likely to spend insufficient time in moderate to vigorous PA (MVPA). Rarely active elderly people had a decreased proportion of long bouts of MVPA and light PA and of short bouts in sedentary behavior than frequently active subjects did (p?
机译:背景技术老年人通过体育锻炼(PA)获得了显着的健康益处,但是很少研究体育锻炼方式的作用。本研究旨在描述老年人不同活动强度之间的PA模式。我们评估了活动组(“稀有”,“平均”和“频繁”)之间模式的差异,并探讨了各种PA参数是否以及如何与功能锻炼能力(FEC)相关联。方法使用三轴GT3X加速度计连续十天对168名受试者(78名男性; 65-89岁)进行PA测量。根据活动将受试者分为三组,并比较各组。使用多元线性回归模型预测FEC。结果大于或等于80岁的参与者最容易久坐,而女性和肥胖者最有可能在中度至剧烈的PA(MVPA)上花费不足的时间。与经常活动的受试者相比,很少活动的老年人的MVPA和轻度PA的长时间发作和久坐行为的短暂发作的比例降低(p <0.001)。作为FEC的预测指标,年龄,BMI降低,男性,肺功能更好,无多发病,MVPA时间更长和发作时间更长(r2≤0.54)。 MVPA模式解释了大部分差异。结论PA模式提供的信息不仅限于活动报告。老年人的MVPA可以通过增加长搏动的比例来增加,以增加FEC和平均PA。但是,健康状况可能会限制PA。对于很少活动的人(通常FEC降低,肺功能恶化以及诊断为多发病或残障),在光PA中较长时间可能足以增加总体活动水平。

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