Department of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina, USA.
Department of Biostatistical and Data Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
J Gerontol A Biol Sci Med Sci. 2022 Dec 29;77(12):2429-2434. doi: 10.1093/gerona/glab347.
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.
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).
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).
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.
髋部和腕部佩戴的 ActiGraph 加速度计在体力活动研究中被广泛应用,因为它们可以客观评估一整天的运动强度。在此,我们通过对社区居住的老年人群体进行的研究,利用髋部和腕部加速度计数据来描述和对比关键结构化体力活动和常见的日常生活活动。
为了进行研究,我们为身体活动量低、患有肥胖症的老年参与者(年龄在 60 岁以上)佩戴非优势侧腕部和髋部的 ActiGraph GT3X+加速度计,然后让他们按照随机顺序完成一系列任务,包括坐/站、清扫、叠衣服、爬楼梯、不同强度的步行以及不同强度的骑自行车。参与者一周后返回并再次完成这些任务。在每次任务中,我们将向量幅度计数/秒与时间匹配,然后将其汇总为每分钟计数(CPM)。
两个佩戴位置的监测器都能很好地描述站立、坐立和步行任务。一个关键发现是,通过腕部 ActiGraph,轻家务(清扫、叠衣服)产生的 CPM 值更高且更具变化性,比快走更高。回归分析显示,腕部 CPM 值是髋部 CPM 值的较差预测指标,设备在快走(R2=0.25)和爬楼梯(R2=0.35)时的一致性最佳。
由于老年人在日常生活中相当一部分时间都在进行非运动活动,因此研究人员在使用腕部加速度计数据的简单加速度阈值进行评分时应谨慎。需要开发更好的方法来分类腕部活动监测器数据,以更好地适用于老年人。