Department of Nutrition and Exercise Sciences, Oregon State University, Corvallis, Oregon, USA.
Obesity (Silver Spring). 2012 Nov;20(11):2317-9. doi: 10.1038/oby.2011.364. Epub 2011 Dec 15.
The purpose of this study was to derive ActiGraph cut-points for sedentary (SED), light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) in toddlers and evaluate their validity in an independent sample. The predictive validity of established preschool cut-points were also evaluated and compared. Twenty-two toddlers (mean age = 2.1 years ± 0.4 years) wore an ActiGraph accelerometer during a videotaped 20-min play period. Videos were subsequently coded for physical activity (PA) intensity using the modified Children's Activity Rating Scale (CARS). Receiver operating characteristic (ROC) curve analyses were conducted to determine cut-points. Predictive validity was assessed in an independent sample of 18 toddlers (mean age = 2.3 ± 0.4 years). From the ROC curve analyses, the 15-s count ranges corresponding to SED, LPA, and MVPA were 0-48, 49-418, and >418 counts/15 s, respectively. Classification accuracy was fair for the SED threshold (ROC-AUC = 0.74, 95% confidence interval = 0.71-0.76) and excellent for MVPA threshold (ROC-AUC = 0.90, 95% confidence interval = 0.88-0.92). In the cross-validation sample, the toddler cut-point and established preschool cut-points significantly overestimated time spent in SED and underestimated time in spent in LPA. For MVPA, mean differences between observed and predicted values for the toddler and Pate cut-points were not significantly different from zero. In summary, the ActiGraph accelerometer can provide useful group-level estimates of MVPA in toddlers. The results support the use of the Pate cut-point of 420 counts/15 s for MVPA.
本研究旨在为幼儿制定计步器(SED)、低强度体力活动(LPA)和中高强度体力活动(MVPA)的切点,并在独立样本中评估其有效性。还评估和比较了既定的学前切点的预测有效性。22 名幼儿(平均年龄=2.1 岁±0.4 岁)在视频记录的 20 分钟游戏期间佩戴 ActiGraph 加速度计。随后,使用改良的儿童活动量表(CARS)对视频进行体力活动(PA)强度编码。进行了接收器操作特性(ROC)曲线分析以确定切点。在 18 名幼儿(平均年龄=2.3±0.4 岁)的独立样本中评估了预测有效性。ROC 曲线分析得出,SED、LPA 和 MVPA 的 15 秒计数范围分别为 0-48、49-418 和>418 计数/15 秒。SED 阈值的分类准确性为中等(ROC-AUC=0.74,95%置信区间=0.71-0.76),MVPA 阈值的分类准确性为优秀(ROC-AUC=0.90,95%置信区间=0.88-0.92)。在交叉验证样本中,幼儿切点和既定的学前切点显著高估了SED 时间,低估了 LPA 时间。对于 MVPA,幼儿和 Pate 切点的观察值和预测值之间的平均差异与零无显著差异。总之,ActiGraph 加速度计可提供有用的幼儿 MVPA 组水平估计。结果支持使用 420 计数/15 秒的 Pate 切点作为 MVPA。