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

Stuart J. Fairclough, Danielle L. Christian, Pedro F. Saint-Maurice, Paul R. Hibbing, Robert J. Noonan, Greg J. Welk, Philip M. Dixon and Lynne M. Boddy
Additional contact information
Stuart J. Fairclough: Movement Behaviours, Health and Wellbeing Research Group, Department of Sport and Physical Activity, Edge Hill University, St Helens Road, Ormskirk L39 4QP, UK
Danielle L. Christian: Faculty of Health and Wellbeing, University of Central Lancashire, Preston PR1 2HE, UK
Pedro F. Saint-Maurice: National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA
Paul R. Hibbing: Department of Kinesiology, Recreation, and Sport Studies, University of Tennessee, Knoxville, TN 37996, USA
Robert J. Noonan: Appetite and Obesity Research Group, Department of Psychological Sciences, University of Liverpool, Bedford Street South, Liverpool L69 7ZA, UK
Greg J. Welk: Department of Kinesiology, Iowa State University, Ames, IA 50013, USA
Philip M. Dixon: Department of Statistics, Iowa State University, Ames, IA 50013, USA
Lynne M. Boddy: Physical Activity Exchange, School of Sport and Exercise Sciences, Liverpool John Moores University, 5 Primrose Hill, Liverpool L3 2EX, UK

IJERPH, 2019, vol. 16, issue 19, 1-17

Abstract: 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.

Keywords: calibration; validation; physical activity; self-report; accelerometer; sedentary behaviour; children; adolescents; measurement (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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