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Estimating minutes of physical activity from the previous day physical activity recall: validation of a prediction equation.

Authors :
Tucker JM
Welk G
Nusser SM
Beyler NK
Dzewaltowski D
Source :
Journal of physical activity & health [J Phys Act Health] 2011 Jan; Vol. 8 (1), pp. 71-8.
Publication Year :
2011

Abstract

Background: This study was designed to develop a prediction algorithm that would allow the Previous Day Physical Activity Recall (PDPAR) to be equated with temporally matched data from an accelerometer.<br />Methods: Participants (n = 121) from a large, school-based intervention wore a validated accelerometer and completed the PDPAR for 3 consecutive days. Physical activity estimates were obtained from PDPAR by totaling 30-minute bouts of activity coded as ≥4 METS. A regression equation was developed in a calibration sample (n = 91) to predict accelerometer minutes of moderate to vigorous physical activity (MVPA) from PDPAR bouts. The regression equation was then applied to a separate, holdout sample (n = 30) to evaluate the utility of the prediction algorithm.<br />Results: Gender and PDPAR bouts accounted for 36.6% of the variance in accelerometer MVPA. The regression model showed that on average boys obtain 9.0 min of MVPA for each reported PDPAR bout, while girls obtain 4.8 min of MVPA per bout. When applied to the holdout sample, predicted minutes of MVPA from the models showed good agreement with accelerometer minutes (r = .81).<br />Conclusions: The prediction equation provides a valid and useful metric to aid in the interpretation of PDPAR results.<br /> (©2011 Human Kinetics, Inc.)

Details

Language :
English
ISSN :
1543-5474
Volume :
8
Issue :
1
Database :
MEDLINE
Journal :
Journal of physical activity & health
Publication Type :
Academic Journal
Accession number :
21297187
Full Text :
https://doi.org/10.1123/jpah.8.1.71