Welk Gregory J, Saint-Maurice Pedro F, Dixon Philip M, Hibbing Paul R, Bai Yang, McLoughlin Gabriella M, da Silva Michael Pereira
Iowa State University.
National Cancer Institute.
J Meas Phys Behav. 2021 Sep;4(3):236-246. doi: 10.1123/jmpb.2020-0048. Epub 2021 Aug 3.
A balance between the feasibility and validity of measures is an important consideration for physical activity research - particularly in school-based research with youth. The present study extends previously tested calibration methods to develop and test new equations for an online version of the Youth Activity Profile (YAP) tool, a self-report tool designed for school applications. Data were collected across different regions and seasons to develop more robust, generalizable equations. The study involved a total of 717 youth from 33 schools (374 elementary (ages 9-11), 224 middle (ages 11-14), and 119 high school (ages 14-18)) in two different states in the U.S. Participants wore a Sensewear monitor for a full week and then completed the online YAP at school to report physical activity (PA) and sedentary behaviors (SB) in school and at home. Accelerometer data were processed using an R-based segmentation program to compute PA and SB levels. Quantile regression models were used with half of the sample to develop item-specific YAP calibration equations and these were cross validated with the remaining half of the sample. Computed values of Mean Absolute Percent Error (MAPE) ranged from 15-25% with slightly lower error observed for the middle school sample. The new equations had improved precision compared to the previous versions when tested on the same sample. The online version of the YAP provides an efficient and effective way to capture school level estimates of PA and SB in youth.
对于体育活动研究而言,衡量方法的可行性与有效性之间的平衡是一个重要考量因素——尤其是在针对青少年的校内研究中。本研究扩展了先前经过测试的校准方法,以开发并测试适用于青少年活动概况(YAP)工具在线版本的新方程,该工具是一款为学校应用设计的自我报告工具。研究在不同地区和季节收集数据,以开发更稳健、更具普遍性的方程。该研究共涉及美国两个不同州33所学校的717名青少年(374名小学生(9 - 11岁),224名初中生(11 - 14岁),以及119名高中生(14 - 18岁))。参与者佩戴Sensewear监测仪整整一周,然后在学校完成在线YAP,以报告在校内和家中的体育活动(PA)及久坐行为(SB)。加速度计数据使用基于R的分段程序进行处理,以计算PA和SB水平。使用样本的一半数据通过分位数回归模型来开发特定项目的YAP校准方程,并在另一半样本上进行交叉验证。计算得出的平均绝对百分比误差(MAPE)值在15%至25%之间,其中初中生样本的误差略低。在同一样本上进行测试时,新方程相比先前版本具有更高的精度。YAP在线版本为获取青少年在校体育活动和久坐行为的学校层面估计值提供了一种高效且有效的方法。