The physical environment and health-enhancing activity during the school commute: global positioning system, geographical information systems and accelerometry.

Active school travel is in decline. An understanding of the potential determinants of health-enhancing physical activity during the school commute may help to inform interventions aimed at reversing these trends. The purpose of this study was to identify the physical environmental factors associated with health-enhancing physical activity during the school commute. Data were collected in 2009 on 166 children commuting home from school in Scotland. Data on location and physical activity were measured using global positioning systems (GPS) and accelerometers, and mapped using geographical information systems (GIS). Multi-level logistic regression models accounting for repeated observations within participants were used to test for associations between each land-use category (road/track/path, other man-made, greenspace, other natural) and moderate-to-vigorous physical activity (MVPA). Thirty-nine children provided 2,782 matched data points. Over one third (37.1%) of children's school commute time was spent in MVPA. Children commuted approximately equal amounts of time via natural and man-made land-uses (50.2% and 49.8% respectively). Commuting via road/track/path was associated with increased likelihood of MVPA (Exp(B)=1.23, P <0.05), but this association was not seen for commuting via other manmade land-uses. No association was noted between greenspace use and MVPA, but travelling via other natural land-uses was associated with lower odds of MVPA (Exp(B)=0.32, P <0.05). Children spend equal amounts of time commuting to school via man-made and natural land-uses, yet man-made transportation route infrastructure appears to provide greater opportunities for achieving health-enhancing physical activity levels.

[1]  Edmund Seto,et al.  A study of community design, greenness, and physical activity in children using satellite, GPS and accelerometer data. , 2012, Health & place.

[2]  H. P. van der Ploeg,et al.  Trends in Australian children traveling to school 1971-2003: burning petrol or carbohydrates? , 2008, Preventive medicine.

[3]  R. Buliung,et al.  GIS measured environmental correlates of active school transport: A systematic review of 14 studies , 2011, The international journal of behavioral nutrition and physical activity.

[4]  R. Mcmurray,et al.  Calibration of two objective measures of physical activity for children , 2008, Journal of sports sciences.

[5]  A. Cooper,et al.  Independent mobility, perceptions of the built environment and children's participation in play, active travel and structured exercise and sport: the PEACH Project , 2010, The international journal of behavioral nutrition and physical activity.

[6]  Mark Braza,et al.  Neighborhood Design and Rates of Walking and Biking to Elementary School in 34 California Communities , 2004, American journal of health promotion : AJHP.

[7]  Scott Duncan,et al.  Combining GPS, GIS, and accelerometry: methodological issues in the assessment of location and intensity of travel behaviors. , 2010, Journal of physical activity & health.

[8]  A. Bauman,et al.  Active commuting to school among NSW primary school children: implications for public health. , 2006, Health & place.

[9]  A. Field,et al.  Combining global positioning system and accelerometer data to determine the locations of physical activity in children. , 2012, Geospatial health.

[10]  Nicole Ruch,et al.  Personal and environmental factors associated with active commuting to school in Switzerland. , 2008, Preventive medicine.

[11]  R. Lowry,et al.  National prevalence and correlates of walking and bicycling to school. , 2007, American journal of preventive medicine.

[12]  D. Rowe,et al.  The Strathclyde Evaluation of Children's Active Travel (SE-CAT): study rationale and methods , 2011, BMC public health.

[13]  Lise Gauvin,et al.  Proportions of students who use various modes of transportation to and from school in a representative population-based sample of children and adolescents, 1999. , 2008, Preventive medicine.

[14]  B. Giles-Corti,et al.  School site and the potential to walk to school: the impact of street connectivity and traffic exposure in school neighborhoods. , 2011, Health & place.

[15]  Noreen C McDonald,et al.  Active transportation to school: trends among U.S. schoolchildren, 1969-2001. , 2007, American journal of preventive medicine.

[16]  Leena Choi,et al.  Validation of accelerometer wear and nonwear time classification algorithm. , 2011, Medicine and science in sports and exercise.

[17]  Andy P. Jones,et al.  Is environmental setting associated with the intensity and duration of children's physical activity? Findings from the SPEEDY GPS study , 2013, Health & place.

[18]  A. Cooper,et al.  Greenspace and children's physical activity: a GPS/GIS analysis of the PEACH project. , 2010, Preventive medicine.