Literature DB >> 27326748

Calibration of context-specific survey items to assess youth physical activity behaviour.

Pedro F Saint-Maurice1,2, Gregory J Welk1, R Todd Bartee3, Kate Heelan3.   

Abstract

This study tests calibration models to re-scale context-specific physical activity (PA) items to accelerometer-derived PA. A total of 195 4th-12th grades children wore an Actigraph monitor and completed the Physical Activity Questionnaire (PAQ) one week later. The relative time spent in moderate-to-vigorous PA (MVPA%) obtained from the Actigraph at recess, PE, lunch, after-school, evening and weekend was matched with a respective item score obtained from the PAQ's. Item scores from 145 participants were calibrated against objective MVPA% using multiple linear regression with age, and sex as additional predictors. Predicted minutes of MVPA for school, out-of-school and total week were tested in the remaining sample (n = 50) using equivalence testing. The results showed that PAQ β-weights ranged from 0.06 (lunch) to 4.94 (PE) MVPA% (P < 0.05) and models root mean square error ranged from 4.2% (evening) to 20.2% (recess). When applied to an independent sample, differences between PAQ and accelerometer MVPA at school and out-of-school ranged from -15.6 to +3.8 min and the PAQ was within 10-15% of accelerometer measured activity. This study demonstrated that context-specific items can be calibrated to predict minutes of MVPA in groups of youth during in- and out-of-school periods.

Entities:  

Keywords:  MVPA; home; measurement; school; youth

Mesh:

Year:  2016        PMID: 27326748     DOI: 10.1080/02640414.2016.1194526

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  4 in total

1.  Racial disparities in adolescent sleep duration: Physical activity as a protective factor.

Authors:  Brian T Gillis; Mina Shimizu; Lauren E Philbrook; Mona El-Sheikh
Journal:  Cultur Divers Ethnic Minor Psychol       Date:  2020-08-24

2.  Self-Reported Physical Activity is Not a Valid Method for Measuring Physical Activity in 15-Year-Old South African Boys and Girls.

Authors:  Makama Andries Monyeki; Sarah J Moss; Han C G Kemper; Jos W R Twisk
Journal:  Children (Basel)       Date:  2018-06-06

3.  Evidence-Based Overview of Accelerometer-Measured Physical Activity during School Recess: An Updated Systematic Review.

Authors:  Sergio Pulido Sánchez; Damián Iglesias Gallego
Journal:  Int J Environ Res Public Health       Date:  2021-01-12       Impact factor: 3.390

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

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
Journal:  Int J Environ Res Public Health       Date:  2019-10-02       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.