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Area-Level Walkability and the Geographic Distribution of High Body Mass in Sydney, Australia: A Spatial Analysis Using the 45 and Up Study

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  • Darren J. Mayne

    (The University of Sydney, School of Public Health, Sydney, NSW 2006, Australia
    Illawarra Shoalhaven Local Health District, Public Health Unit, Warrawong, NSW 2502, Australia
    University of Wollongong, School of Medicine, Wollongong, NSW 2522, Australia
    Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW 2522, Australia)

  • Geoffrey G. Morgan

    (The University of Sydney, School of Public Health, Sydney, NSW 2006, Australia
    The University of Sydney, University Centre for Rural Health, Rural Clinical School—Northern Rivers, Sydney, NSW 2006, Australia)

  • Bin B. Jalaludin

    (Ingham Institute, University of New South Wales, Sydney, NSW 2052, Australia
    Epidemiology, Healthy People and Places Unit, Population Health, South Western Sydney Local Health District, Liverpool, NSW 1871, Australia)

  • Adrian E. Bauman

    (The University of Sydney, School of Public Health, Sydney, NSW 2006, Australia)

Abstract

Improving the walkability of built environments to promote healthy lifestyles and reduce high body mass is increasingly considered in regional development plans. Walkability indexes have the potential to inform, benchmark and monitor these plans if they are associated with variation in body mass outcomes at spatial scales used for health and urban planning. We assessed relationships between area-level walkability and prevalence and geographic variation in overweight and obesity using an Australian population-based cohort comprising 92,157 Sydney respondents to the 45 and Up Study baseline survey between January 2006 and April 2009. Individual-level data on overweight and obesity were aggregated to 2006 Australian postal areas and analysed as a function of area-level Sydney Walkability Index quartiles using conditional auto regression spatial models adjusted for demographic, social, economic, health and socioeconomic factors. Both overweight and obesity were highly clustered with higher-than-expected prevalence concentrated in the urban sprawl region of western Sydney, and lower-than-expected prevalence in central and eastern Sydney. In fully adjusted spatial models, prevalence of overweight and obesity was 6% and 11% lower in medium-high versus low, and 10% and 15% lower in high versus low walkability postcodes, respectively. Postal area walkability explained approximately 20% and 9% of the excess spatial variation in overweight and obesity that remained after accounting for other individual- and area-level factors. These findings provide support for the potential of area-level walkability indexes to inform, benchmark and monitor regional plans aimed at targeted approaches to reducing population-levels of high body mass through environmental interventions. Future research should consider potential confounding due to neighbourhood self-selection on area-level walkability relations.

Suggested Citation

  • Darren J. Mayne & Geoffrey G. Morgan & Bin B. Jalaludin & Adrian E. Bauman, 2019. "Area-Level Walkability and the Geographic Distribution of High Body Mass in Sydney, Australia: A Spatial Analysis Using the 45 and Up Study," IJERPH, MDPI, vol. 16(4), pages 1-29, February.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:4:p:664-:d:208710
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    References listed on IDEAS

    as
    1. Smedley, B. & Amaro, H., 2016. "Advancing the science and practice of place-based intervention," American Journal of Public Health, American Public Health Association, vol. 106(2), pages 197-197.
    2. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    3. Andrew J. Plantinga & Stephanie Bernell, 2007. "The Association Between Urban Sprawl And Obesity: Is It A Two‐Way Street?," Journal of Regional Science, Wiley Blackwell, vol. 47(5), pages 857-879, December.
    4. Eid, Jean & Overman, Henry G. & Puga, Diego & Turner, Matthew A., 2008. "Fat city: Questioning the relationship between urban sprawl and obesity," Journal of Urban Economics, Elsevier, vol. 63(2), pages 385-404, March.
    5. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, December.
    6. Sallis, James F. & Frank, Lawrence D. & Saelens, Brian E. & Kraft, M. Katherine, 2004. "Active transportation and physical activity: opportunities for collaboration on transportation and public health research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(4), pages 249-268, May.
    7. Sichieri, R. & Coitinho, D.C. & Leao, M.M. & Recine, E. & Everhart, J.E., 1994. "High temporal, geographic, and income variation in body mass index among adults in Brazil," American Journal of Public Health, American Public Health Association, vol. 84(5), pages 793-798.
    8. Vidhura Tennekoon & Robert Rosenman, 2016. "Systematically misclassified binary dependent variables," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 45(9), pages 2538-2555, May.
    9. Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
    10. Lopez, R., 2004. "Urban sprawl and risk for being overweight or obese," American Journal of Public Health, American Public Health Association, vol. 94(9), pages 1574-1579.
    11. Gerlinde Grasser & Delfien Dyck & Sylvia Titze & Willibald Stronegger, 2013. "Objectively measured walkability and active transport and weight-related outcomes in adults: a systematic review," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(4), pages 615-625, August.
    12. Ala’a Alkerwi & Illiasse El Bahi & Saverio Stranges & Jean Beissel & Charles Delagardelle & Stephanie Noppe & Ngianga-Bakwin Kandala, 2017. "Geographic Variations in Cardiometabolic Risk Factors in Luxembourg," IJERPH, MDPI, vol. 14(6), pages 1-13, June.
    13. Catherine Paquet & Basile Chaix & Natasha J. Howard & Neil T. Coffee & Robert J. Adams & Anne W. Taylor & Frédérique Thomas & Mark Daniel, 2016. "Geographic Clustering of Cardiometabolic Risk Factors in Metropolitan Centres in France and Australia," IJERPH, MDPI, vol. 13(5), pages 1-17, May.
    14. Ackerson, Leland K. & Kawachi, Ichiro & Barbeau, Elizabeth M. & Subramanian, S.V., 2008. "Geography of underweight and overweight among women in India: A multilevel analysis of 3204 neighborhoods in 26 states," Economics & Human Biology, Elsevier, vol. 6(2), pages 264-280, July.
    15. Buchmueller, Thomas C. & Johar, Meliyanni, 2015. "Obesity and health expenditures: Evidence from Australia," Economics & Human Biology, Elsevier, vol. 17(C), pages 42-58.
    16. Kowaleski-Jones, Lori & Brown, Barbara B. & Fan, Jessie X. & Hanson, Heidi A. & Smith, Ken R. & Zick, Cathleen D., 2017. "The joint effects of family risk of obesity and neighborhood environment on obesity among women," Social Science & Medicine, Elsevier, vol. 195(C), pages 17-24.
    17. Xinyu (Jason) Cao & Patricia L. Mokhtarian & Susan L. Handy, 2008. "Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings," Transport Reviews, Taylor & Francis Journals, vol. 29(3), pages 359-395, October.
    18. Schwartz, S., 1994. "The fallacy of the ecological fallacy: The potential misuse of a concept and the consequences," American Journal of Public Health, American Public Health Association, vol. 84(5), pages 819-824.
    19. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
    20. Wasfi, R.A. & Dasgupta, K. & Orpana, H. & Ross, N.A., 2016. "Neighborhood walkability and body mass index trajectories: Longitudinal study of Canadians," American Journal of Public Health, American Public Health Association, vol. 106(5), pages 934-940.
    21. Cao, Xinyu & Mokhtarian, Patricia & Handy, Susan, 2008. "Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings," Institute of Transportation Studies, Working Paper Series qt08x1k476, Institute of Transportation Studies, UC Davis.
    22. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    23. Peter Congdon, 2017. "Variations in Obesity Rates between US Counties: Impacts of Activity Access, Food Environments, and Settlement Patterns," IJERPH, MDPI, vol. 14(9), pages 1-18, September.
    24. Rosemary J Korda & Grace Joshy & Ellie Paige & James R G Butler & Louisa R Jorm & Bette Liu & Adrian E Bauman & Emily Banks, 2015. "The Relationship between Body Mass Index and Hospitalisation Rates, Days in Hospital and Costs: Findings from a Large Prospective Linked Data Study," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-16, March.
    25. Ross, N.A. & Tremblay, S. & Khan, S. & Crouse, D. & Tremblay, M. & Berthelot, J.-M., 2007. "Body mass index in urban Canada: Neighborhood and metropolitan area effects," American Journal of Public Health, American Public Health Association, vol. 97(3), pages 500-508.
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