Comparing individual and area-based income measures: impact on analysis of inequality in smoking, obesity, and diabetes rates in Canadians 2003–2013 View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-06

AUTHORS

Erin Pichora, Jane Y. Polsky, Christina Catley, Nita Perumal, Jing Jin, Sara Allin

ABSTRACT

OBJECTIVES: The aims of this study were to examine (1) the concordance between income measured at the individual and area-based level and (2) the impact of using each measure of income on inequality estimates for three health indicators-the prevalence, respectively, of diabetes, smoking, and obesity. METHODS: Data for the health indicators and individual income among adults came from six cycles of the Canadian Community Health Survey (cycles 2003 through 2013). Area-based income was obtained by linking respondents' residential postal codes to neighbourhood income quintiles derived from the 2006 Canadian census. Relative and absolute inequality between the lowest and highest income quintiles for each measure was assessed using rate ratios and rate differences, respectively. RESULTS: Concordance between the two income measures was poor in the overall sample (weighted Kappa estimates ranged from 0.19 to 0.21 for all years), and for the subset of participants reporting diabetes, smoking, or obesity. Despite the poor concordance, both individual and area-based income measures identified generally comparable levels of relative and absolute inequality in the rates of diabetes, smoking, and obesity over the 10-year study period. CONCLUSION: The results of this study show that individual and area-based income measures categorize Canadians differently according to income quintile, yet both measures reveal striking income-related inequalities in rates of diabetes and smoking, and obesity among women. This suggests that either individual or area-level measures can be used to monitor income-related health inequalities in Canada; however, whenever possible, it is informative to consider both measures since they likely represent distinct social constructs. More... »

PAGES

410-418

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.17269/s41997-018-0062-5

DOI

http://dx.doi.org/10.17269/s41997-018-0062-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1103847281

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29981091


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