Exercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University, United States.
Department of Nutritional Sciences and Center for Childhood Obesity Research, The Pennsylvania State University, United States.
J Sci Med Sport. 2020 Dec;23(12):1197-1201. doi: 10.1016/j.jsams.2020.08.003. Epub 2020 Aug 11.
Non-wear time algorithms have not been validated in pregnant women with overweight/obesity (PW-OW/OB), potentially leading to misclassification of sedentary/activity data, and inaccurate estimates of how physical activity is associated with pregnancy outcomes. We examined: (1) validity/reliability of non-wear time algorithms in PW-OW/OB by comparing wear time from five algorithms to a self-report criterion and (2) whether these algorithms over- or underestimated sedentary behaviors.
PW-OW/OB (N = 19) from the Healthy Mom Zone randomized controlled trial wore an ActiGraph GT3x + for 7 consecutive days between 8-12 weeks gestation.
Non-wear algorithms (i.e., consecutive strings of zero acceleration in 60-second epochs) were tested at 60, 90, 120, 150, and 180-min. The monitor registered sedentary minutes as activity counts 0-99. Women completed daily self-report logs to report wear time.
Intraclass correlation coefficients for each algorithm were 0.96-0.97; Bland-Altman plots revealed no bias; mean absolute percent errors were <10%. Compared to self-report (M = 829.5, SD = 62.1), equivalency testing revealed algorithm wear times (min/day) were equivalent: 60- (M = 816.4, SD = 58.4), 90- (M = 827.5, SD = 61.4), 120- (M = 830.8, SD = 65.2), 150- (M = 833.8, SD = 64.6) and 180-min (M = 837.4, SD = 65.4). Repeated measures ANOVA showed 60- and 90-min algorithms may underestimate sedentary minutes compared to 150- and 180-min algorithms.
The 60, 90, 120, 150, and 180-min algorithms are valid and reliable for estimating wear time in PW-OW/OB. However, implementing algorithms with a higher threshold for consecutive zero counts (i.e., ≥150-min) can avoid the risk of misclassifying sedentary data.
超重/肥胖孕妇（PW-OW/OB）的非佩戴时间算法尚未得到验证，这可能导致久坐/活动数据的分类错误，并对身体活动与妊娠结局的关联的估计不准确。我们研究了：（1）通过将五种算法的佩戴时间与自我报告标准进行比较，来检验 PW-OW/OB 中非佩戴时间算法的有效性/可靠性；（2）这些算法是否高估或低估了久坐行为。
来自 Healthy Mom Zone 随机对照试验的 PW-OW/OB（N=19）在妊娠 8-12 周期间连续佩戴 ActiGraph GT3x+7 天。
在 60、90、120、150 和 180 分钟时测试非佩戴算法（即 60 秒时连续的零加速度串）。监测器将久坐分钟记录为活动计数 0-99。女性每天完成自我报告日志以报告佩戴时间。
每个算法的组内相关系数为 0.96-0.97；Bland-Altman 图显示没有偏差；平均绝对百分比误差<10%。与自我报告（M=829.5，SD=62.1）相比，等效性检验显示算法佩戴时间（分钟/天）相当：60-（M=816.4，SD=58.4），90-（M=827.5，SD=61.4），120-（M=830.8，SD=65.2），150-（M=833.8，SD=64.6）和 180 分钟（M=837.4，SD=65.4）。重复测量方差分析显示，与 150 分钟和 180 分钟算法相比，60 分钟和 90 分钟算法可能低估了久坐时间。
60、90、120、150 和 180 分钟算法可有效可靠地估计 PW-OW/OB 的佩戴时间。然而，使用具有更高连续零计数阈值（即≥150 分钟）的算法可以避免将久坐数据分类错误的风险。
