期刊论文详细信息
International Journal of Health Geographics
How well do modelled routes to school record the environments children are exposed to?: a cross-sectional comparison of GIS-modelled and GPS-measured routes to school
Andy Jones1  Esther MF van Sluijs2  Kirsten Corder2  Thomas Burgoine2  Flo Harrison1 
[1] Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK;UKCRC Centre for Diet and Activity Research (CEDAR), MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Box 285 Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
关键词: Global positioning systems;    Geographic information systems;    Physical activity environment;    Food environment;    Route to school;   
Others  :  809651
DOI  :  10.1186/1476-072X-13-5
 received in 2013-10-29, accepted in 2014-02-05,  发布年份 2014
PDF
【 摘 要 】

Background

The school journey may make an important contribution to children’s physical activity and provide exposure to food and physical activity environments. Typically, Geographic Information Systems (GIS) have been used to model assumed routes to school in studies, but these may differ from those actually chosen. We aimed to identify the characteristics of children and their environments that make the modelled route more or less representative of that actually taken. We compared modelled GIS routes and actual Global Positioning Systems (GPS) measured routes in a free-living sample of children using varying travel modes.

Methods

Participants were 175 13-14 yr old children taking part in the Sport, Physical activity and Eating behaviour: Environmental Determinants in Young people (SPEEDY) study who wore GPS units for up to 7 days. Actual routes to/from school were extracted from GPS data, and shortest routes between home and school along a road network were modelled in a GIS. Differences between them were assessed according to length, percentage overlap, and food outlet exposure using multilevel regression models.

Results

GIS routes underestimated route length by 21.0% overall, ranging from 6.1% among walkers to 23.2% for bus users. Among pedestrians food outlet exposure was overestimated by GIS routes by 25.4%. Certain characteristics of children and their neighbourhoods that improved the concordance between GIS and GPS route length and overlap were identified. Living in a village raised the odds of increased differences in length (odds ratio (OR) 3.36 (1.32-8.58)), while attending a more urban school raised the odds of increased percentage overlap (OR 3.98 (1.49-10.63)). However none were found for food outlet exposure. Journeys home from school increased the difference between GIS and GPS routes in terms of food outlet exposure, and this measure showed considerable within-person variation.

Conclusions

GIS modelled routes between home and school were not truly representative of accurate GPS measured exposure to obesogenic environments, particularly for pedestrians. While route length may be fairly well described, especially for urban populations, those living close to school, and those travelling by foot, the additional expense of acquiring GPS data seems important when assessing exposure to route environments.

【 授权许可】

   
2014 Harrison et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20140709020206410.pdf 448KB PDF download
Figure 1. 61KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]Egger G, Swinburn B: An “ecological” approach to the obesity pandemic. Br Med J 1997, 315:477-480.
  • [2]Caspi CE, Sorensen G, Subramanian SV, Kawachi I: The local food environment and diet: a systematic review. Health Place 2012, 18:1172-1187.
  • [3]Ding D, Sallis JF, Kerr J, Lee S, Rosenberg DE: Neighborhood environment and physical activity among youth: a review. Am J Prev Med 2011, 41:442-455.
  • [4]Harrison F, Jones AP, van Sluijs EMF, Cassidy A, Bentham G, Griffin SJ: Environmental correlates of adiposity in 9–10 year old children: considering home and school neighbourhoods and routes to school. Soc Sci Med 2011, 72:1411-1419.
  • [5]Panter JR, Jones AP, Van Sluijs EMF, Griffin SJ: Neighborhood, route, and school environments and children’s active commuting. Am J Prev Med 2010, 38:268-278.
  • [6]Timperio A, Ball K, Salmon J, Roberts R, Giles-Corti B, Simmons D, Baur LA, Crawford D: Personal, family, social, and environmental correlates of active commuting to school. Am J Prev Med 2006, 30:45-51.
  • [7]D’Haese S, De Meester F, De Bourdeaudhuij I, Deforche B, Cardon G: Criterion distances and environmental correlates of active commuting to school in children. Int J Behav Nutr Phys Act 2011, 8:88. BioMed Central Full Text
  • [8]Rossen LM, Curriero FC, Cooley-Strickland M, Pollack KM: Food availability en route to school and anthropometric change in urban children. J Urban Health 2013, 90:653-666.
  • [9]Timperio AF, Ball K, Roberts R, Andrianopoulos N, Crawford DA: Childrens takeaway and fast-food intakes: associations with the neighbourhood food environment. Public Health Nutr 2009, 12:1960-1964.
  • [10]Kerr J, Rosenberg D, Sallis JF, Saelens BE, Frank LD, Conway TL: Active commuting to school: associations with environment and parental concerns. Med Sci Sports Exerc 2006, 38:787-793.
  • [11]Badland HM, Duncan MJ, Oliver M, Duncan JS, Mavoa S: Examining commute routes: applications of GIS and GPS technology. Environ Health Prev Med 2010, 15:327-330.
  • [12]Duncan MJ, Mummery WK: GIS or GPS? A comparison of two methods for assessing route taken during active transport. Am J Prev Med 2007, 33:51-53.
  • [13]Glanz K, Sallis JF, Saelens BE, Frank LD: Healthy nutrition environments: concepts and measures. Am J Health Promot 2005, 19:330-333.
  • [14]Story M, Kaphingst KM, Robinson-O’Brien R, Glanz K: Creating healthy food and eating environments: policy and environmental approaches. Annu Rev Public Health 2008, 29:253-272.
  • [15]Borradaile KE, Sherman S, Vander Veur SS, McCoy T, Sandoval B, Nachmani J, Karpyn A, Foster GD: Snacking in children: the role of urban corner stores. Pediatr Int 2009, 124:1293-1298.
  • [16]van Sluijs EMF, Skidmore PML, Mwanza K, Jones AP, Callaghan AM, Ekelund U, Harrison F, Harvey I, Panter J, Wareham NJ, et al.: Physical activity and dietary behaviour in a population-based sample of british 10-year old children: the SPEEDY study (sport, physical activity and eating behaviour: environmental determinants in young people). BMC Public Health 2008, 8:388-399. BioMed Central Full Text
  • [17]Corder K, Atkin AJ, Ekelund U, van Sluijs EMF: What do adolescents want in order to become more active? BMC Public Health 2013, 13:718-727. BioMed Central Full Text
  • [18]Bibby P, Shepherd J: Developing A New Classification of Urban and Rural Areas for Policy Purposes - The Methodology. London: Office of National Statistics; 2004.
  • [19]OS MasterMap address layer 2 http://www.ordnancesurvey.co.uk/business-and-government/products/address-layer-2.html webcite
  • [20]Jones NR, Jones A, van Sluijs EMF, Panter J, Harrison F, Griffin SJ: School environments and physical activity: the development and testing of an audit tool. Health Place 2010, 16:776-783.
  • [21]ESRI Inc: ArcGIS. 101st edition. Redlands, CA: ESRI; 2012.
  • [22]Qstarz BT-Q1000XT Technical specification http://www.qstarz.com/Products/GPS%20Products/BT-Q1000XT-S.htm webcite
  • [23]OS Integrated Transport Network™(ITN) Layer http://www.ordnancesurvey.co.uk/business-and-government/products/itn-layer.html webcite
  • [24]Beyer HL: Geospatial Modelling Environment (Version 0.7.2.1). (software). 2012. http://www.spatialecology.com/gme webcite
  • [25]Burgoine T, Harrison F: Comparing the accuracy of two secondary food environment data sources in the UK across socio-economic and urban/rural divides. Int J Health Geogr 2013, 12:1-8. BioMed Central Full Text
  • [26]Lake AA, Burgoine T, Greenhalgh F, Stamp E, Tyrrell R: The foodscape: Classification and field validation of secondary data sources. Health Place 2010, 16:666-673.
  • [27]Points of interest http://www.ordnancesurvey.co.uk/business-and-government/products/points-of-interest.html webcite
  • [28]StataCorp 110th edition. College Station, TX: StataCorp LP; 2009.
  • [29]Singleton A: A GIS approach to modelling CO2 emissions associated with the pupil school commute. Int J Geogr Inf Sci 2014, 28:256-273.
  • [30]Chaix B, Méline J, Duncan S, Merrien C, Karusisi N, Perchoux C, Lewin A, Labadi K, Kestens K: GPS tracking in neighborhood and health studies:A stepforward for environmental exposure assessment, a step backward for causal inference? Health Place 2013, 21:46-51.
  • [31]Fyhri A, Hjorthol R, Mackett RL, Fotel TN, Kyttä M: Children’s active travel and independent mobility in four countries: Development, social contributing trends and measures. Transp Policy 2011, 18:703-710.
  • [32]Personal Activity and Location Measurement System (PALMS) http://ucsd-palms-project.wikispaces.com/ webcite
  文献评价指标  
  下载次数:18次 浏览次数:22次