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Contributions of Multiple Built Environment Features to 10-Year Change in Body Mass Index and Waist Circumference in a South Australian Middle-Aged Cohort

Author

Listed:
  • Suzanne J. Carroll

    (Health Research Institute, University of Canberra, Bruce, ACT 2617, Australia)

  • Michael J. Dale

    (Health Research Institute, University of Canberra, Bruce, ACT 2617, Australia)

  • Anne W. Taylor

    (Discipline of Medicine, The University of Adelaide, Adelaide, SA 5000, Australia)

  • Mark Daniel

    (Health Research Institute, University of Canberra, Bruce, ACT 2617, Australia
    Department of Medicine, St. Vincent’s Hospital, The University of Melbourne, Fitzroy, VIC 3065, Australia)

Abstract

Residential areas may shape health, yet few studies are longitudinal or concurrently test relationships between multiple residential features and health. This longitudinal study concurrently assessed the contributions of multiple environmental features to 10-year change in clinically measured body mass index (BMI) and waist circumference (WC). Longitudinal data for adults (18+ years of age, n = 2253) from the north-west of Adelaide, Australia were linked to built environment measures representing the physical activity and food environment (expressed for residence-based 1600 m road-network buffers) and area education. Associations were concurrently estimated using latent growth models. In models including all environmental exposure measures, area education was associated with change in BMI and WC (protective effects). Dwelling density was associated with worsening BMI and WC but also highly correlated with area education and moderately correlated with count of fast food outlets. Public open space (POS) area was associated with worsening WC. Intersection density, land use mix, greenness, and a retail food environment index were not associated with change in BMI or WC. This study found greater dwelling density and POS area exacerbated increases in BMI and WC. Greater area education was protective against worsening body size. Interventions should consider dwelling density and POS, and target areas with low SES.

Suggested Citation

  • Suzanne J. Carroll & Michael J. Dale & Anne W. Taylor & Mark Daniel, 2020. "Contributions of Multiple Built Environment Features to 10-Year Change in Body Mass Index and Waist Circumference in a South Australian Middle-Aged Cohort," IJERPH, MDPI, vol. 17(3), pages 1-18, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:870-:d:314613
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    References listed on IDEAS

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    1. Reitzel, L.R. & Regan, S.D. & Nguyen, N. & Cromley, E.K. & Strong, L.L. & Wetter, D.W. & McNeill, L.H., 2014. "Density and proximity of fast food restaurants and body mass index among African Americans," American Journal of Public Health, American Public Health Association, vol. 104(1), pages 110-116.
    2. Sugiyama, T. & Gunn, L.D. & Christian, H. & Francis, J. & Foster, S. & Hooper, P. & Owen, N. & Giles-Corti, B., 2015. "Quality of public open spaces and recreational walking," American Journal of Public Health, American Public Health Association, vol. 105(12), pages 2490-2495.
    3. Carroll, Suzanne J. & Paquet, Catherine & Howard, Natasha J. & Coffee, Neil T. & Taylor, Anne W. & Niyonsenga, Theo & Daniel, Mark, 2016. "Local descriptive norms for overweight/obesity and physical inactivity, features of the built environment, and 10-year change in glycosylated haemoglobin in an Australian population-based biomedical c," Social Science & Medicine, Elsevier, vol. 166(C), pages 233-243.
    4. 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.
    5. Chaix, Basile & Merlo, Juan & Evans, David & Leal, Cinira & Havard, Sabrina, 2009. "Neighbourhoods in eco-epidemiologic research: Delimiting personal exposure areas. A response to Riva, Gauvin, Apparicio and Brodeur," Social Science & Medicine, Elsevier, vol. 69(9), pages 1306-1310, November.
    6. Anh D. Ngo & Catherine Paquet & Natasha J. Howard & Neil T. Coffee & Anne W. Taylor & Robert J. Adams & Mark Daniel, 2014. "Area-Level Socioeconomic Characteristics, Prevalence and Trajectories of Cardiometabolic Risk," IJERPH, MDPI, vol. 11(1), pages 1-19, January.
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    Cited by:

    1. Tharrey, Marion & Malisoux, Laurent & Klein, Olivier & Bohn, Torsten & Perchoux, Camille, 2023. "Urban densification over 9 years and change in the metabolic syndrome: A nationwide investigation from the ORISCAV-LUX cohort study," Social Science & Medicine, Elsevier, vol. 331(C).
    2. Amal Chakraborty & Natasha J. Howard & Mark Daniel & Alwin Chong & Nicola Slavin & Alex Brown & Margaret Cargo, 2021. "Prioritizing Built Environmental Factors to Tackle Chronic and Infectious Diseases in Remote Northern Territory (NT) Communities of Australia: A Concept Mapping Study," IJERPH, MDPI, vol. 18(10), pages 1-17, May.

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