Background Hip- and wrist-worn ActiGraph accelerometers are widely used in research on physical activity as they offer an objective assessment of movement intensity across the day. Herein we characterize and contrast key structured physical activities and common activities of daily living via accelerometry data collected at the hip and wrist from a sample of community-dwelling older adults. Methods Low-active, older adults with obesity (age 60+ years) were fit with an ActiGraph GT3X+ accelerometer on their nondominant wrist and hip before completing a series of tasks in a randomized order, including sitting/standing, sweeping, folding laundry, stair climbing, ambulation at different intensities, and cycling at different intensities. Participants returned a week later and completed the tasks once again. Vector magnitude counts/second were time-matched during each task and then summarized into counts/minute (CPM). Results Monitors at both wear locations similarly characterized standing, sitting, and ambulatory tasks. A key finding was that light home chores (sweeping, folding laundry) produced higher and more variable CPM values than fast walking via wrist ActiGraph. Regression analyses revealed wrist CPM values were poor predictors of hip CPM values, with devices aligning best during fast walking (R2 = 0.25) and stair climbing (R2 = 0.35). Conclusions As older adults spend a considerable portion of their day in nonexercise activities of daily living, researchers should be cautious in the use of simply acceleration thresholds for scoring wrist-worn accelerometer data. Methods for better classifying wrist-worn activity monitor data in older adults are needed.

中文翻译：

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手腕加速度测量适合阈值评分吗？低活动度肥胖老年人髋部佩戴式和腕部佩戴式 ActiGraph 数据比较


背景 髋部和腕部佩戴的 ActiGraph 加速度计广泛用于身体活动研究，因为它们可以客观评估全天的运动强度。在这里，我们通过从社区居住的老年人样本的臀部和手腕处收集的加速度测量数据来描述和对比关键的结构化身体活动和日常生活的常见活动。方法 低活动度肥胖老年人（60 岁以上）在其非惯用手手腕和臀部安装 ActiGraph GT3X+ 加速度计，然后按随机顺序完成一系列任务，包括坐/站、扫地、折叠衣物、上下楼梯攀爬、不同强度的步行以及不同强度的骑自行车。一周后，参与者返回并再次完成任务。在每个任务期间，矢量幅度计数/秒进行时间匹配，然后汇总为计数/分钟 (CPM)。结果 两个佩戴位置的监测仪具有相似的站立、坐立和行走任务特征。一项重要发现是，与通过腕部 ActiGraph 快速行走相比，轻度家务（扫地、叠衣服）产生的 CPM 值更高且变化更大。回归分析显示，手腕 CPM 值对于髋部 CPM 值的预测效果较差，设备在快走 (R2 = 0.25) 和爬楼梯 (R2 = 0.35) 时对齐效果最佳。结论 由于老年人一天中相当一部分时间用于日常生活中的非运动活动，因此研究人员在使用简单的加速度阈值对腕戴式加速度计数据进行评分时应谨慎。需要更好地对老年人腕戴式活动监测数据进行分类的方法。