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Education, income inequality, and mortality: a multiple regression analysis

, : Education, income inequality, and mortality: a multiple regression analysis. Bmj 324(7328): 23-25

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 gtoreq18 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.


PMID: 11777800

DOI: 10.1136/bmj.324.7328.23

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