National University of Singapore.
Agency for Science, Technology and Research (A*STAR).
Res Q Exerc Sport. 2021 Sep;92(3):361-368. doi: 10.1080/02701367.2020.1734520. Epub 2020 Mar 10.
: Variability in accelerometry-data processing decisions limited data comparability across studies. We aimed to examine different accelerometry-data processing rules: varying bout lengths and allowance of 0- and 2-min interruptions on the total and bout-accumulated time spent in moderate-to-vigorous physical activity (MVPA) and sedentary behavior estimates, and describe the distribution of activity time based on counts per min (CPM) in granular categories. : Using the Singapore Health 2 survey, this study included 746 adults (41.8% women, median age 45.0 years) who provided valid ActiGraph GT3X+ accelerometer-data (≥4 valid days with ≥10-h/day). Quantile regression analysis adjusting for accelerometry daily wear time, age, and gender was performed to calculate the median and interquartile range of accelerometry estimates. : Median MVPA time accumulated in bouts of 1-min versus bouts of 10-min was 39.2 min/day and 6.0 min/day, respectively. MVPA time was higher when considering a 2-min interruption (range: 1.8-39.2 min/day) compared to 0-min interruption (range: 0-35.5 min/day) across bout lengths of 1- to 15-min. Participants were sedentary (≤100 CPM) for a daily median of 7.6 h/day. Median activities min/day on the lower-intensity activity spectrum (100-2499 CPM) decreased from 63.4 to 4.6 min/day, while on the higher-intensity activity spectrum (≥2500 CPM) was ≤2.9 min/day. Men generally spent more time in MVPA than women. : This study highlights the differences in accelerometry estimates based on data processing decisions, and the importance of quantifying accelerometry-based activity time across the granular intensity spectrum. More studies are warranted to understand the determinants and health impact of these behaviors.
:加速度计数据处理决策的变异性限制了研究之间数据的可比性。我们旨在研究不同的加速度计数据处理规则:改变活动时长和允许总时间和活动时长的 0-2 分钟中断,以估计中度至剧烈体力活动(MVPA)和久坐行为,以及根据每分钟计数 (CPM) 将活动时间描述为细粒度类别。
:使用新加坡健康 2 调查,本研究纳入了 746 名成年人(41.8%为女性,中位年龄为 45.0 岁),他们提供了有效的 ActiGraph GT3X+加速度计数据(≥4 天,每天≥10 小时)。进行了定量回归分析,调整了加速度计每日佩戴时间、年龄和性别,以计算加速度计估计值的中位数和四分位距。
:1 分钟与 10 分钟的活动时长相比,1 分钟活动时长的 MVPA 累积中位数为 39.2 分钟/天和 6.0 分钟/天。当考虑 2 分钟中断(范围:1.8-39.2 分钟/天)而不是 0 分钟中断(范围:0-35.5 分钟/天)时,不同时长的 MVPA 时间都更高(1-15 分钟)。参与者每天平均久坐(≤100 CPM)时间为 7.6 小时/天。每天较低强度活动范围(100-2499 CPM)的中位数活动分钟数从 63.4 分钟/天减少到 4.6 分钟/天,而较高强度活动范围(≥2500 CPM)的中位数活动分钟数则≤2.9 分钟/天。男性通常比女性花费更多时间进行 MVPA。
:本研究强调了基于数据处理决策的加速度计估计值的差异,以及量化整个强度谱基于加速度计的活动时间的重要性。需要更多的研究来了解这些行为的决定因素和健康影响。