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Canadian Journal of Public Health = Revue Canadienne de Santé Publique logoLink to Canadian Journal of Public Health = Revue Canadienne de Santé Publique
. 2010 Mar 1;101(2):133–137. doi: 10.1007/BF03404358

The Geography of Overweight in Quebec: Analyzing and Visualizing Spatial Inequalities Using Second-level Residuals

Alexandre Lebel 18,28,, Mylène Riva 38, Robert Pampalon 28, Marius Thériault 18
PMCID: PMC6973879  PMID: 20524378

Abstract

Objective

To discuss critically the contribution of using second-level residuals from multilevel analyses to further the understanding of how place relates to health and to visualize areas, in the province of Quebec (Canada), with above- and below-average levels of overweight.

Methods

Data on 20,449 individuals are from the Canadian Community Health Survey (CCHS Cycle 2.1) and were linked to 51 spatial units. Area-level residuals were computed from a multilevel analysis examining individual and area characteristics associated with the risk of overweight. Mapping the area-level residuals indicates geographic areas where the risk of overweight is higher or lower compared to the provincial adjusted prevalence.

Results

Controlling for socio-economic conditions and lifestyle, distinct spatial patterns of overweight were observed, indicating that the processes linking place to health may differ between men and women and between regional contexts. In some regions, the probability of overweight differed by 23% for men and 38% for women living in privileged conditions in comparison to the province’s adjusted prevalence of overweight.

Conclusions

Analyzing and visualizing area-level residuals provides multi-scaled information that could enhance the understanding of the geographic distribution of overweight and has the potential to support more integrated and locally relevant interventions.

Key words: Overweight, obesity, Québec, medical geography, multilevel analysis, population health

Footnotes

Acknowledgements: This research could not have been carried out without the financial support of the Quebec Population Health Research Network (QPHRN), the Quebec Inter-University Centre for Social Statistics (QICSS), and the Fonds de la recherche en santé du Québec (FRSQ). The Institut national de santé publique du Québec (INSPQ) and the Natural Science and Engineering Research Council of Canada (NSERCC) also contributed to this study. Finally, we thank Denis Hamel for his statistical advice and Pierre Masson for his revision of an earlier version of this paper.

Conflict of Interest: None to declare.

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