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Residential property values are associated with obesity among women in King County, WA, USA

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  • Rehm, Colin D.
  • Moudon, Anne V.
  • Hurvitz, Philip M.
  • Drewnowski, Adam

Abstract

Studies of social determinants of weight and health in the US have typically relied on self-reported education and incomes as the two primary measures of socioeconomic status (SES). The assessed value of one's home, an important component of wealth, may be a better measure of the underlying SES construct and a better predictor of obesity. The Seattle Obesity Study (SOS), conducted in 2008–9, was a cross-sectional random digit dial telephone survey of 2001 adults in King County, Washington State, US. Participants' addresses were geocoded and residential property values for each tax parcel were obtained from the county tax assessor's database. Prevalence ratios of obesity by property values, education, and household income were estimated separately for women and men, after adjusting for age, race/ethnicity, household size, employment status and home ownership. Among women, the inverse association between property values and obesity was very strong and independent of other SES factors. Women in the bottom quartile of property values were 3.4 times more likely to be obese than women in the top quartile. No association between property values and obesity was observed for men. The present data strengthen the evidence for a social gradient in obesity among women. Property values may represent a novel and objective measure of SES at the individual level in the US. Measures based on tax assessment data will provide a valuable resource for future health studies.

Suggested Citation

  • Rehm, Colin D. & Moudon, Anne V. & Hurvitz, Philip M. & Drewnowski, Adam, 2012. "Residential property values are associated with obesity among women in King County, WA, USA," Social Science & Medicine, Elsevier, vol. 75(3), pages 491-495.
    • Handle: RePEc:eee:socmed:v:75:y:2012:i:3:p:491-495
    DOI: 10.1016/j.socscimed.2012.03.041
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    References listed on IDEAS

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    1. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    2. Burdette, Amy M. & Hill, Terrence D., 2008. "An examination of processes linking perceived neighborhood disorder and obesity," Social Science & Medicine, Elsevier, vol. 67(1), pages 38-46, July.
    3. Hajat, A. & Kaufman, J.S. & Rose, K.M. & Siddiqi, A. & Thomas, J.C., 2010. "Do the wealthy have a health advantage? Cardiovascular disease risk factors and wealth," Social Science & Medicine, Elsevier, vol. 71(11), pages 1935-1942, December.
    4. Galea, S. & Tracy, M. & Hoggatt, K.J. & DiMaggio, C. & Karpati, A., 2011. "Estimated deaths attributable to social factors in the united states," American Journal of Public Health, American Public Health Association, vol. 101(8), pages 1456-1465.
    5. Krieger, N. & Chen, J.T. & Waterman, P.D. & Rehkopf, D.H. & Subramanian, S.V., 2005. "Painting a truer picture of US socioeconomic and racial/ethnic health inequalities: The public health disparities geocoding project," American Journal of Public Health, American Public Health Association, vol. 95(2), pages 312-323.
    6. Drewnowski, Adam & D. Rehm, Colin & Solet, David, 2007. "Disparities in obesity rates: Analysis by ZIP code area," Social Science & Medicine, Elsevier, vol. 65(12), pages 2458-2463, December.
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    Cited by:

    1. David Consolazio & Annemarie Koster & Simone Sarti & Miranda T Schram & Coen D A Stehouwer & Erik J Timmermans & Anke Wesselius & Hans Bosma, 2020. "Neighbourhood property value and type 2 diabetes mellitus in the Maastricht study: A multilevel study," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-13, June.
    2. Lockwood, Tony & Coffee, Neil T & Rossini, Peter & Niyonsenga, Theo & McGreal, Stanley, 2018. "Does where you live influence your socio-economic status?," Land Use Policy, Elsevier, vol. 72(C), pages 152-160.
    3. Caryn N. Bell & Jordan Kerr & Jessica L. Young, 2019. "Associations between Obesity, Obesogenic Environments, and Structural Racism Vary by County-Level Racial Composition," IJERPH, MDPI, vol. 16(5), pages 1-17, March.
    4. Neil T Coffee & Tony Lockwood & Peter Rossini & Theo Niyonsenga & Stanley McGreal, 2020. "Composition and context drivers of residential property location value as a socioeconomic status measure," Environment and Planning B, , vol. 47(5), pages 790-807, June.

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