Next Article in Journal
Climate Change is Likely to Worsen the Public Health Threat of Diarrheal Disease in Botswana
Previous Article in Journal
Pesticide Flow Analysis to Assess Human Exposure in Greenhouse Flower Production in Colombia
Int. J. Environ. Res. Public Health 2013, 10(4), 1186-1201; doi:10.3390/ijerph10041186
Article

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

1,2
, 2,3,4,5,* , 2,3,6
 and 2,3,4
1 Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON M5T 3M6, Canada 2 Institute for Clinical Evaluative Sciences, Toronto, ON M4N 3M5, Canada 3 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 4 Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada 5 Department of Population, Reproductive and Family Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA 6 Department of Family and Community Medicine, University of Toronto, Toronto, ON M5G 1V7, Canada
* Author to whom correspondence should be addressed.
Received: 6 February 2013 / Revised: 13 March 2013 / Accepted: 19 March 2013 / Published: 25 March 2013
View Full-Text   |   Download PDF [303 KB, uploaded 19 June 2014]

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.
Keywords: social determinants; socioeconomic position; multinomial regression; multilevel modeling; health inequities social determinants; socioeconomic position; multinomial regression; multilevel modeling; health inequities
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Export to BibTeX |
EndNote


MDPI and ACS Style

White, H.L.; O'Campo, P.; Moineddin, R.; Matheson, F.I. Modeling the Cumulative Effects of Social Exposures on Health: Moving beyond Disease-Specific Models. Int. J. Environ. Res. Public Health 2013, 10, 1186-1201.

View more citation formats

Related Articles

Article Metrics

Comments

Citing Articles

[Return to top]
Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert