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Modeling the Cumulative Effects of Social Exposures on Health: Moving beyond Disease-Specific Models

Author

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  • Heather L. White

    (Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON M5T 3M6, Canada
    Institute for Clinical Evaluative Sciences, Toronto, ON M4N 3M5, Canada)

  • Patricia O'Campo

    (Institute for Clinical Evaluative Sciences, Toronto, ON M4N 3M5, Canada
    Centre for Research on Inner City Health, The Keenan Research Centre in the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON M5C 1N8, Canada
    Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
    Department of Population, Reproductive and Family Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Rahim Moineddin

    (Institute for Clinical Evaluative Sciences, Toronto, ON M4N 3M5, Canada
    Centre for Research on Inner City Health, The Keenan Research Centre in the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON M5C 1N8, Canada
    Department of Family and Community Medicine, University of Toronto, Toronto, ON M5G 1V7, Canada)

  • Flora I. Matheson

    (Institute for Clinical Evaluative Sciences, Toronto, ON M4N 3M5, Canada
    Centre for Research on Inner City Health, The Keenan Research Centre in the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON M5C 1N8, Canada
    Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada)

Abstract

The traditional explanatory models used in epidemiology are “disease specific”, identifying risk factors for specific health conditions. Yet social exposures lead to a generalized, cumulative health impact which may not be specific to one illness. Disease-specific models may therefore misestimate social factors’ effects on health. Using data from the Canadian Community Health Survey and Canada 2001 Census we construct and compare “disease-specific” and “generalized health impact” (GHI) models to gauge the negative health effects of one social exposure: socioeconomic position (SEP). We use logistic and multinomial multilevel modeling with neighbourhood-level material deprivation, individual-level education and household income to compare and contrast the two approaches. In disease-specific models, the social determinants under study were each associated with the health conditions of interest. However, larger effect sizes were apparent when outcomes were modeled as compound health problems (0, 1, 2, or 3+ conditions) using the GHI approach. To more accurately estimate social exposures’ impacts on population health, researchers should consider a GHI framework.

Suggested Citation

  • Heather L. White & Patricia O'Campo & Rahim Moineddin & Flora I. Matheson, 2013. "Modeling the Cumulative Effects of Social Exposures on Health: Moving beyond Disease-Specific Models," IJERPH, MDPI, vol. 10(4), pages 1-16, March.
    • Handle: RePEc:gam:jijerp:v:10:y:2013:i:4:p:1186-1201:d:24520
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    References listed on IDEAS

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