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

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.

journal_name

BMJ

authors

Muller A

doi

10.1136/bmj.324.7328.23

keywords:

subject

Has Abstract

pub_date

2002-01-05 00:00:00

pages

23-5

issue

7328

eissn

0959-8138

issn

1756-1833

journal_volume

324

pub_type

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