title: Metropolitan income inequality and working-age mortality: a cross-sectional analysis using comparable data from five countries.
abstract: The relationship between income inequality and mortality has come into question as of late from many within-country studies. This article examines the relationship between income inequality and working-age mortality for metropolitan areas (MAs) in Australia, Canada, Great Britain, Sweden, and the United States to provide a fuller understanding of national contexts that produce associations between inequality and mortality. An ecological cross-sectional analysis of income inequality (as measured by median share of income) and working-age (25-64) mortality by using census and vital statistics data for 528 MAs (population >50,000) from five countries in 1990-1991 was used. When data from all countries were pooled, there was a significant relationship between income inequality and mortality in the 528 MAs studied. A hypothetical increase in the share of income to the poorest half of households of 1% was associated with a decline in working-age mortality of over 21 deaths per 100,000. Within each country, however, a significant relationship between inequality and mortality was evident only for MAs in the United States and Great Britain. These two countries had the highest average levels of income inequality and the largest populations of the five countries studied. Although a strong ecological association was found between income inequality and mortality across the 528 MAs, an association between income inequality and mortality was evident only in within-country analyses for the two most unequal countries: the United States and Great Britain. The absence of an effect of metropolitan-scale income inequality on mortality in the more egalitarian countries of Canada, Australia, and Sweden is suggestive of national-scale policies in these countries that buffer hypothetical effects of income inequality as a determinant of population health in industrialized economies.
authors.affiliation: Department of Geography, McGill University, Montréal, Québec, Canada. nancy.ross@mcgill.ca
authors.forename: Nancy A
authors.initials: NA
authors.lastname: Ross
authors.forename: Danny
authors.initials: D
authors.lastname: Dorling
authors.forename: James R
authors.initials: JR
authors.lastname: Dunn
authors.forename: Göran
authors.initials: G
authors.lastname: Henriksson
authors.forename: John
authors.initials: J
authors.lastname: Glover
authors.forename: John
authors.initials: J
authors.lastname: Lynch
authors.forename: Gunilla Ringbäck
authors.initials: GR
authors.lastname: Weitoft
mesh_terms: D000328:Adult; D001315:Australia / Q000453:epidemiology; D002170:Canada / Q000453:epidemiology; D019352:Censuses; D003431:Cross-Cultural Comparison; D003430:Cross-Sectional Studies; D005843:Geography; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D016014:Linear Models; D008875:Middle Aged; D009026:Mortality; D011203:Poverty / Q000706:statistics & numerical data; D012959:Socioeconomic Factors; D012962:Sociology, Medical; D013548:Sweden / Q000453:epidemiology; D006113:United Kingdom / Q000453:epidemiology; D014481:United States / Q000453:epidemiology; D014504:Urban Health / Q000706:statistics & numerical data*
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