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Children's mobility and environmental exposures in urban landscapes: A cross-sectional study of 10–11 year old Scottish children

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  • Olsen, Jonathan R.
  • Mitchell, Richard
  • McCrorie, Paul
  • Ellaway, Anne

Abstract

Research into how the environment affects health and related behaviour is typically limited in at least two ways: it represents the environment to which people are exposed using fixed areal units, and, it focuses on one or two environmental characteristics only. This study developed a methodology for describing children's mobility and the complexity of their environmental exposure across a 1934 km2 study area, including urban, suburban and rural zones. It conceptualised and modelled this area as a landscape, comprised of spatially discrete amenities, infrastructure features, differing land covers/use and broader environmental contexts. The model used a 25 m2 grid system (∼3 million cells). For each cell, there was detailed built-environment information. We joined data for 100 10/11-year-old children who had worn GPS trackers to provide individual-level mobility information for one week during 2015/16 to our model. Using negative binomial regression, we explored which landscape features were associated with a child visiting that space and time spent there. We examined whether relationships between the features across our study area and children's use of the space differed by their sociodemographic characteristics.

Suggested Citation

  • Olsen, Jonathan R. & Mitchell, Richard & McCrorie, Paul & Ellaway, Anne, 2019. "Children's mobility and environmental exposures in urban landscapes: A cross-sectional study of 10–11 year old Scottish children," Social Science & Medicine, Elsevier, vol. 224(C), pages 11-22.
    • Handle: RePEc:eee:socmed:v:224:y:2019:i:c:p:11-22
    DOI: 10.1016/j.socscimed.2019.01.047
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    References listed on IDEAS

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    1. Harrison, Flo & Jones, Andrew P. & van Sluijs, Esther M.F. & Cassidy, Aedín & Bentham, Graham & Griffin, Simon J., 2011. "Environmental correlates of adiposity in 9-10 year old children: Considering home and school neighbourhoods and routes to school," Social Science & Medicine, Elsevier, vol. 72(9), pages 1411-1419, May.
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    3. Zachary Patterson & Steven Farber, 2015. "Potential Path Areas and Activity Spaces in Application: A Review," Transport Reviews, Taylor & Francis Journals, vol. 35(6), pages 679-700, November.
    4. Chambers, T. & Pearson, A.L. & Kawachi, I. & Rzotkiewicz, Z. & Stanley, J. & Smith, M. & barr, M. & Ni Mhurchu, C. & Signal, L., 2017. "Kids in space: Measuring children's residential neighborhoods and other destinations using activity space GPS and wearable camera data," Social Science & Medicine, Elsevier, vol. 193(C), pages 41-50.
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    Cited by:

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    2. Elise Desjardins & Zahra Tavakoli & Antonio Páez & Edward Owen Douglas Waygood, 2022. "Children’s Access to Non-School Destinations by Active or Independent Travel: A Scoping Review," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    3. Olsen, Jonathan R. & Nicholls, Natalie & Mitchell, Richard, 2019. "Are urban landscapes associated with reported life satisfaction and inequalities in life satisfaction at the city level? A cross-sectional study of 66 European cities," Social Science & Medicine, Elsevier, vol. 226(C), pages 263-274.
    4. Melody Smith & Suzanne Mavoa & Erika Ikeda & Kamyar Hasanzadeh & Jinfeng Zhao & Tiina E. Rinne & Niamh Donnellan & Marketta Kyttä & Jianqiang Cui, 2022. "Associations between Children’s Physical Activity and Neighborhood Environments Using GIS: A Secondary Analysis from a Systematic Scoping Review," IJERPH, MDPI, vol. 19(3), pages 1-23, January.

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