title: Economic distress and cause-of-death patterns for black and non-black men in Chicago: reconsidering the relevance of classic epidemiological transition theory.
abstract: The mortality disadvantage of African Americans is well documented, but previous studies have not considered its implications for population theory in the general case of industrialized nation states with high levels of income inequality. This paper examines the relevance of classic epidemiological theory to the extremes of income and mortality observed in Chicago, one of America's most racially divided cities. We analyze cause-specific death rates for black and non-black male populations residing in Chicago's community areas by using linked data from the 1990 Census and from 1989-1991 individual death certificates. The same cause-of-death patterns explain much of the mortality of black and non-black men. These two major structures include one, degenerative diseases, the other, "tough-living" causes (accidents, homicides, and liver disease). Community socioeconomic status is strongly related to tough-living deaths within each racial group, and to degenerative deaths for African Americans. Black men's tough-living mortality is much greater than non-blacks', but their younger age structure suppresses their degenerative death rates. Aggregate unemployment and social disorganization account for the most salient disparities in mortality across racial groups. This patterning of mortality along a socioeconomic continuum supports epidemiological theory and extends its applicability to highly unequal populations within industrialized countries.
authors.affiliation: Department of Sociology, Box 353340, University of Washington, Seattle, WA 98195, USA. lpalazzo@u.washington.edu
authors.forename: Lorella
authors.initials: L
authors.lastname: Palazzo
authors.forename: Avery
authors.initials: A
authors.lastname: Guest
authors.forename: Gunnar
authors.initials: G
authors.lastname: Almgren
mesh_terms: D001741:Black or African American / Q000706:statistics & numerical data*; D002423:Cause of Death; D002641:Chicago / Q000453:epidemiology; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D019049:Developed Countries / Q000706:statistics & numerical data; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D008017:Life Expectancy / Q000208:ethnology; D008297:Male; D018803:Models, Economic; D008962:Models, Theoretical; D011204:Poverty Areas; D012111:Residence Characteristics; D012931:Social Environment; D012959:Socioeconomic Factors; D014478:Unemployment / Q000706:statistics & numerical data; D014504:Urban Health / Q000706:statistics & numerical data*; D035862:Vulnerable Populations / Q000208:ethnology* / Q000706:statistics & numerical data