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The Uncertain Geographic Context Problem in the Analysis of the Relationships between Obesity and the Built Environment in Guangzhou

Author

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  • Pengxiang Zhao

    (Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China)

  • Mei-Po Kwan

    (Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Natural History Building, MC-150, 1301 W Green Street, Urbana, IL 61801, USA
    Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, P.O. Box 80125, 3508 TC Utrecht, The Netherlands)

  • Suhong Zhou

    (School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou 510275, China)

Abstract

Traditionally, static units of analysis such as administrative units are used when studying obesity. However, using these fixed contextual units ignores environmental influences experienced by individuals in areas beyond their residential neighborhood and may render the results unreliable. This problem has been articulated as the uncertain geographic context problem (UGCoP). This study investigates the UGCoP through exploring the relationships between the built environment and obesity based on individuals’ activity space. First, a survey was conducted to collect individuals’ daily activity and weight information in Guangzhou in January 2016. Then, the data were used to calculate and compare the values of several built environment variables based on seven activity space delineations, including home buffers, workplace buffers (WPB), fitness place buffers (FPB), the standard deviational ellipse at two standard deviations (SDE2), the weighted standard deviational ellipse at two standard deviations (WSDE2), the minimum convex polygon (MCP), and road network buffers (RNB). Lastly, we conducted comparative analysis and regression analysis based on different activity space measures. The results indicate that significant differences exist between variables obtained with different activity space delineations. Further, regression analyses show that the activity space delineations used in the analysis have a significant influence on the results concerning the relationships between the built environment and obesity. The study sheds light on the UGCoP in analyzing the relationships between obesity and the built environment.

Suggested Citation

  • Pengxiang Zhao & Mei-Po Kwan & Suhong Zhou, 2018. "The Uncertain Geographic Context Problem in the Analysis of the Relationships between Obesity and the Built Environment in Guangzhou," IJERPH, MDPI, vol. 15(2), pages 1-20, February.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:2:p:308-:d:131205
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    1. Kwan, Mei-Po, 2009. "From place-based to people-based exposure measures," Social Science & Medicine, Elsevier, vol. 69(9), pages 1311-1313, November.
    2. Davis, R. & Cook, D. & Cohen, L., 2005. "A community resilience approach to reducing ethnic and racial disparities in health," American Journal of Public Health, American Public Health Association, vol. 95(12), pages 2168-2173.
    3. Chen, X. & Kwan, M.-P., 2015. "Contextual uncertainties, human mobility, and perceived food environment: The uncertain geographic context problem in food access research," American Journal of Public Health, American Public Health Association, vol. 105(9), pages 1734-1737.
    4. Berke, E.M. & Koepsell, T.D. & Moudon, A.V. & Hoskins, R.E. & Larson, E.B., 2007. "Association of the built environment with physical activity and obesity in older persons," American Journal of Public Health, American Public Health Association, vol. 97(3), pages 486-492.
    5. Bernard, Paul & Charafeddine, Rana & Frohlich, Katherine L. & Daniel, Mark & Kestens, Yan & Potvin, Louise, 2007. "Health inequalities and place: A theoretical conception of neighbourhood," Social Science & Medicine, Elsevier, vol. 65(9), pages 1839-1852, November.
    6. Rundle, Andrew & Field, Sam & Park, Yoosun & Freeman, Lance & Weiss, Christopher C. & Neckerman, Kathryn, 2008. "Personal and neighborhood socioeconomic status and indices of neighborhood walk-ability predict body mass index in New York City," Social Science & Medicine, Elsevier, vol. 67(12), pages 1951-1958, December.
    7. Robert, Stephanie A. & Reither, Eric N., 2004. "A multilevel analysis of race, community disadvantage, and body mass index among adults in the US," Social Science & Medicine, Elsevier, vol. 59(12), pages 2421-2434, December.
    8. Sun, Bindong & Yan, Hong & Zhang, Tinglin, 2017. "Built environmental impacts on individual mode choice and BMI: Evidence from China," Journal of Transport Geography, Elsevier, vol. 63(C), pages 11-21.
    9. Ferdinand, A.O. & Sen, B. & Rahurkar, S. & Engler, S. & Menachemi, N., 2012. "The relationship between built environments and physical activity: A systematic review," American Journal of Public Health, American Public Health Association, vol. 102(10), pages 7-13.
    10. Grafova, I.B. & Freedman, V.A. & Kumar, R. & Rogowski, J., 2008. "Neighborhoods and obesity in later life," American Journal of Public Health, American Public Health Association, vol. 98(11), pages 2065-2071.
    11. Inagami, Sanae & Cohen, Deborah A. & Finch, Brian K., 2007. "Non-residential neighborhood exposures suppress neighborhood effects on self-rated health," Social Science & Medicine, Elsevier, vol. 65(8), pages 1779-1791, October.
    12. Macintyre, Sally & Ellaway, Anne & Cummins, Steven, 2002. "Place effects on health: how can we conceptualise, operationalise and measure them?," Social Science & Medicine, Elsevier, vol. 55(1), pages 125-139, July.
    13. Zick, Cathleen D. & Smith, Ken R. & Fan, Jessie X. & Brown, Barbara B. & Yamada, Ikuho & Kowaleski-Jones, Lori, 2009. "Running to the Store? The relationship between neighborhood environments and the risk of obesity," Social Science & Medicine, Elsevier, vol. 69(10), pages 1493-1500, November.
    14. Brownson, R.C. & Chang, J.J. & Eyler, A.A. & Ainsworth, B.E. & Kirtland, K.A. & Saelens, B.E. & Sallis, J.F., 2004. "Measuring the Environment for Friendliness Toward Physical Activity: A Comparison of the Reliability of 3 Questionnaires," American Journal of Public Health, American Public Health Association, vol. 94(3), pages 473-483.
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