Department of Kinesiology and Public Health, California Polytechnic State University, San Luis Obispo, CA.
Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Med Sci Sports Exerc. 2023 Jun 1;55(6):1054-1062. doi: 10.1249/MSS.0000000000003135. Epub 2023 Jan 29.
The purpose of this study was to determine the criterion validity of Activities Completed over Time (ACT24), an automated previous-day recall tool designed for mobile devices for 1) estimating sedentary versus active time compared with an activPAL, and 2) estimating time spent in activity domains (e.g., work, household, leisure) compared with direct observation (DO).
Over a 7-d study period, 53 participants were sent invitations to complete three automated ACT24 recalls and to wear an activPAL device. A subset ( N = 24) consented to two, 3-h video-recorded DO sessions. activPAL and ACT24 data were matched by date, and agreement for sedentary versus active time was compared between methods using paired t -tests for mean differences and spearman correlations. We compared DO and ACT24 results by domain for overall time use and separately for sedentary and active time using κ statistics and tested mean differences with linear mixed models.
Compared with the activPAL, the mean difference in ACT24 sedentary time was 1.9% (mean (95% confidence interval), -0.17 (-0.75 to 0.40) h·d -1 ), and the mean difference for ACT24 active time was 2.2% (0.14 (-0.32 to 0.60) h·d -1 ). Correlations were R = 0.61 (95% confidence interval, 0.39 to 0.76) and R = 0.65 (0.44 to0.78) for sedentary and active time, respectively. Domain-specific agreement was substantial for leisure-time, work, and shopping/errands ( κ range, 0.63-0.79), moderate for transportation ( κ = 0.49), and fair for personal care and household activities ( κ = 0.24 and 0.33). ACT24 estimates of average time within each domain were not significantly different from DO.
The present study confirms that ACT24 is accurate for group-level estimation of active and sedentary time. Domain-specific agreement tended to be higher for more commonly reported activities and those that were of longer duration.
本研究旨在确定 Activities Completed over Time(ACT24)的效标效度,这是一种为移动设备设计的自动化前一天回忆工具,用于:1)与 activPAL 相比,估计久坐与活跃时间;2)与直接观察(DO)相比,估计活动领域(如工作、家务、休闲)的时间。
在为期 7 天的研究期间,向 53 名参与者发送了完成三个自动 ACT24 回忆的邀请,并佩戴 activPAL 设备。其中一部分(N=24)同意进行两次 3 小时的视频记录 DO 会议。根据日期匹配 activPAL 和 ACT24 数据,并使用配对 t 检验比较方法之间的静息与活跃时间的差异和 Spearman 相关系数。我们通过领域比较 DO 和 ACT24 的结果,分别比较总时间使用情况以及静息和活跃时间使用情况,并使用κ统计量和线性混合模型测试均值差异。
与 activPAL 相比,ACT24 静息时间的平均差异为 1.9%(平均值(95%置信区间),-0.17(-0.75 至 0.40)h·d-1),ACT24 活跃时间的平均差异为 2.2%(0.14(-0.32 至 0.60)h·d-1)。相关性分别为 R=0.61(95%置信区间,0.39 至 0.76)和 R=0.65(0.44 至 0.78),分别用于静息和活跃时间。休闲时间、工作和购物/差事的特定领域协议较高(κ 范围为 0.63-0.79),交通的协议为中等(κ=0.49),个人护理和家务活动的协议为适度(κ=0.24 和 0.33)。ACT24 对每个领域的平均时间的估计与 DO 没有显著差异。
本研究证实,ACT24 可准确用于活跃和久坐时间的群体水平估计。特定领域的协议往往更高,用于更常见的活动和持续时间更长的活动。