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

• Main Authors: Stuart J. Fairclough, Danielle L. Christian, Pedro F. Saint-Maurice, Paul R. Hibbing, Robert J. Noonan, Greg J. Welk, Philip M. Dixon, Lynne M. Boddy
• Format: Article
• Language: English
• Published: MDPI AG 2019-10-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: calibration; validation; physical activity; self-report; accelerometer; sedentary behaviour; children; adolescents; measurement
• Online Access: https://www.mdpi.com/1660-4601/16/19/3711

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.