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Calibration and Validation of the Youth Activity Profile as a Physical Activity and Sedentary Behaviour Surveillance Tool for English Youth

机译:青年活动档案的校准和验证作为英语青少年的体育活动和久坐行为监测工具

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摘要

Self-reported youth physical activity (PA) is typically overestimated. We aimed to calibrate and validate a self-report tool among English youth. Four-hundred-and-two participants (aged 9–16 years; 212 boys) wore SenseWear Armband Mini devices (SWA) for eight days and completed the self-report Youth Activity Profile (YAP) on the eighth day. Calibration algorithms for temporally matched segments were generated from the YAP data using quantile regression. The algorithms were applied in an independent cross-validation sample, and student- and school-level agreement were assessed. The utility of the YAP algorithms to assess compliance to PA guidelines was also examined. The school-level bias for the YAP estimates of in-school, out-of-school, and weekend moderate-to-vigorous PA (MVPA) were 17.2 (34.4), 31.6 (14.0), and −4.9 (3.6) min·week−1, respectively. Out-of-school sedentary behaviour (SB) was over-predicted by 109.2 (11.8) min·week−1. Predicted YAP values were within 15%–20% equivalence of the SWA estimates. The classification accuracy of the YAP MVPA estimates for compliance to 60 min·day−1 and 30 min·school-day−1 MVPA recommendations were 91%/37% and 89%/57% sensitivity/specificity, respectively. The YAP generated robust school-level estimates of MVPA and SB and has potential for surveillance to monitor compliance with PA guidelines. The accuracy of the YAP may be further improved through research with more representative UK samples to enhance the calibration process and to refine the resultant algorithms.
机译:自我报告的青年体育活动(PA)通常被高估了。我们旨在校准和验证英国年轻人中的自我报告工具。 402名参与者(年龄9-16岁; 212名男孩)戴着SenseWear Armband Mini装置(SWA)了8天,并在第八天完成了自我报告的青年活动概况(YAP)。使用分位数回归从YAP数据生成时间匹配段的校准算法。将该算法应用于独立的交叉验证样本中,并评估了学生和学校的协议。还检查了YAP算法用于评估对PA准则的依从性的实用性。针对学校,校外和周末中度至剧烈运动PA(MVPA)的YAP估计的学校水平偏差为17.2分钟(34.4),31.6(14.0)和-4.9(3.6)分钟·周 -1 。校外久坐行为(SB)被高预测了109.2(11.8)min·week -1 。预测的YAP值在SWA估计值的15%至20%之间。 YAP MVPA评估符合60分钟·天 -1 和30分钟·上课日 -1 MVPA建议的分类准确度分别为91%/ 37%和89分别为%/ 57%的敏感性/特异性。 YAP对学校的MVPA和SB进行了可靠的估算,并且有可能进行监视以监测对PA准则的遵守情况。通过对更具代表性的英国样本进行研究,可以进一步提高YAP的准确性,以增强校准过程并完善所得算法。

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