Literature DB >> 23637304

Impact of income inequality on life expectancy in a highly unequal developing country: the case of Brazil.

Davide Rasella1, Rosana Aquino, Mauricio Lima Barreto.   

Abstract

BACKGROUND: Few studies have analysed the effects of income inequality on health in developing countries, particularly during economic growth, reduction of social disparities and reinforcement of the welfare and healthcare system. We evaluated the association between income inequality and life expectancy in Brazil, including the effect of social and health interventions, in the period 2000-2009.
METHODS: A panel dataset was created for the 27 Brazilian states over the referred time period. Multivariable linear regressions were performed using fixed-effects estimation with heteroscedasticity and serial correlation robust SEs. Models were fitted for life expectancy as a dependent variable, using the Gini index or a percentile income dispersion ratio as the main independent variable, and for demographic, socioeconomic and healthcare-related determinants as covariates.
RESULTS: The Gini index, as the other measure of income inequality, was negatively associated with life expectancy (p<0.05), even after adjustment for all the socioeconomic and health-related covariates. The Family Health Program, the main primary healthcare (PHC) programme of the country, was positively associated with life expectancy (p<0.05).
CONCLUSIONS: In recent years, effective social policies have enabled Brazil to partially reduce absolute poverty and income inequality, contributing-together with PHC-to decreasing death rates in the population. Reducing income inequality may represent an important step towards improving health and increasing life expectancy, particularly in developing countries where inequalities are high.

Entities:  

Keywords:  Mortality; Primary Health Care; Public Health Policy; Social Epidemiology; Social Inequalities

Mesh:

Year:  2013        PMID: 23637304     DOI: 10.1136/jech-2012-201426

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  18 in total

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