Relation between income inequality and mortality: empirical demonstration.
OBJECTIVE
To assess the extent to which observed associations at population level between income inequality and mortality are statistical artefacts.


METHODS
Indirect "what if" simulation by using observed risks of mortality at individual level as a function of income to construct hypothetical state level mortality specific for age and sex as if the statistical artefact argument were 100% correct.


METHODS
Data from the 1990 census for the 50 US states plus Washington, DC, were used for population distributions by age, sex, state, and income range; data disaggregated by age, sex, and state from the Centers for Disease Control and Prevention were used for mortality; and regressions from the national longitudinal mortality study were used for the individual level relation between income and risk of mortality.


RESULTS
Hypothetical mortality, while correlated with inequality (as implied by the logic of the statistical artefact argument), showed a weaker association with states' levels of income inequality than the observed mortality.


CONCLUSIONS
The observed associations in the United States at the state level between income inequality and mortality cannot be entirely or substantially explained as statistical artefacts of an underlying individual level relation between income and mortality. There remains an important association between income inequality and mortality at state level over and above anything that could be accounted for by any statistical artefact. This result reinforces the need to consider a broad range of factors, including the social milieu, as fundamental determinants of health.
Wolfson
M
M
Institutions and Social Statistics Branch, Statistics Canada, Ottawa, Canada K1A 0T6. wolfson@statcan.ca
Kaplan
G
G
Lynch
J
J
Ross
N
N
Backlund
E
E
D000328:Adult; D006801:Humans; D007182:Income / Q000706:statistics & numerical data*; D008875:Middle Aged; D009026:Mortality; D011203:Poverty; D012307:Risk Factors; D016019:Survival Analysis; D014481:United States / Q000453:epidemiology