Education, income inequality, and mortality: a multiple regression analysis
BMJ 2002; 324 doi: https://doi.org/10.1136/bmj.324.7328.23 (Published 05 January 2002) Cite this as: BMJ 2002;324:23
- Andreas Muller, professor (axmuller{at}ualr.edu)
- Department of Health Services Administration, University of Arkansas at Little Rock, 207 Ross Hall, 2801 South University Ave, Little Rock, AR 72204, USA
- Accepted 4 October 2001
Abstract
Objective: To test whether the relation between income inequality and mortality found in US states is because of different levels of formal education.
Design: Cross sectional, multiple regression analysis.
Setting: All US states and the District of Columbia (n=51).
Data sources: US census statistics and vital statistics for the years 1989 and 1990.
Main outcome measure: Multiple regression analysis with age adjusted mortality from all causes as the dependent variable and 3 independent variables—the Gini coefficient, per capita income, and percentage of people aged ≥18 years without a high school diploma.
Results: The income inequality effect disappeared when percentage of people without a high school diploma was added to the regression models. The fit of the regression significantly improved when education was added to the model.
Conclusions: Lack of high school education accounts for the income inequality effect and is a powerful predictor of mortality variation among US states.
What is already known on this topic
What is already known on this topic Aggregate studies have shown a positive relation between income inequality and mortality and three possible explanations have been suggested (relative deprivation, absolute deprivation, and aggregation artefact)
Income inequality may reflect the effects of other socioeconomic variables that are also related to mortality
What this study adds
What this study adds Multiple regression analysis of the 50 US states and District of Columbia for 1989-90 indicates that the relation between income inequality and age adjusted mortality is due to differences in high school educational attainment: education absorbs the income inequality effect and is a more powerful predictor of variation in mortality among US states
Lack of high school education seems to affect mortality by economic resource deprivation, risk of occupational injury, and learnt risk behaviour. It may also measure the lifetime, cumulative effect of adverse socioeconomic conditions
Footnotes
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Funding My study was supported by my sabbatical leave granted by the University of Arkansas at Little Rock.
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Competing interests None declared.
- Accepted 4 October 2001