Literature DB >> 20117574

Mapping the walk to school using accelerometry combined with a global positioning system.

Ashley R Cooper1, Angie S Page, Benedict W Wheeler, Pippa Griew, Laura Davis, Melvyn Hillsdon, Russell Jago.   

Abstract

BACKGROUND: Walking to school is associated with higher levels of physical activity, but the contribution of the journey itself to physical activity before school is unknown.
PURPOSE: This study combined accelerometer and GPS data to investigate the level and location of physical activity in children walking to school.
METHODS: Participants were 137 children (aged 11.3 + or - 0.3 years) from London, England, measured in June-July 2006. Physical activity was measured by accelerometry, and location was determined with a GPS receiver. Travel mode was self-reported. Accelerometer and GPS data were time-matched to provide activity level and location for each 10-second epoch where both were available. Journeys were mapped in a GIS.
RESULTS: Mean accelerometer counts per minute before school (8:00 am to 9:00 am) were 43% higher in those who walked to school than those traveling by car (878.8 + or - 387.6 vs 608.7 + or - 264.1 counts per minute [cpm], p<0.001). Eleven percent (4.5 minutes) of daily moderate to vigorous physical activity (MVPA) occurred in this hour, with walkers recording 2.1 minutes more than car travelers (p = 0.004). Children followed direct routes between home and the school playground. Total activity during the walk to school was twice that in the playground (2131.3 + or - 1170.7 vs 1089.7 + or - 938.6 cpm, p<0.001), with the journey contributing three times as much MVPA as time in the playground.
CONCLUSIONS: Our results provide evidence that the journey to school is purposeful and contributes to higher total physical activity and MVPA in children. Combining accelerometer and GPS data may aid our understanding of the environmental context of physical activity. Copyright 2010 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20117574     DOI: 10.1016/j.amepre.2009.10.036

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


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