Antonio Fernando Boing1,2, S V Subramanian3, Alexandra Crispim Boing3,4. 1. Department of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Boston, USA. antonio.boing@ufsc.br. 2. Post-Graduate Program in Public Health, Federal University of Santa Catarina, Florianópolis, SC, 88040-900, Brazil. antonio.boing@ufsc.br. 3. Department of Social and Behavioral Sciences, Harvard T H Chan School of Public Health, Boston, USA. 4. Post-Graduate Program in Public Health, Federal University of Santa Catarina, Florianópolis, SC, 88040-900, Brazil.
Abstract
OBJECTIVES: This study analyzed the evolution of regional and socioeconomic inequality in life expectancy (LE) at birth and the probability of living up to 40 (LU40) and up to 60 years of age (LU60) in Brazilian municipalities between 1991 and 2010. METHODS: We analyzed data from the last three national census (1991, 2000 and 2010) computed for the 5565 Brazilian municipalities. They were divided into centiles according to the average per capita income. Poisson regression was performed to calculate the ratios between the poorest and the richest centiles. RESULTS: The average LE (+ 8.8 years), LU40 [6.7 percentage points (pp)] and LU60 increased (12.2 pp) between 1991 and 2010. The ratio of LE between the 1% of richest counties and the 1% of poorest counties decreased from 1.20 in 1991 to 1.09 in 2010. While in the poorest municipalities there was a gain of around 12 years of life, among the richest this increase was around 7 years. CONCLUSIONS: There was a remarkable decrease in regional and socioeconomic inequality in LE, LU40 and LU60 in Brazil between 1991 and 2010.
OBJECTIVES: This study analyzed the evolution of regional and socioeconomic inequality in life expectancy (LE) at birth and the probability of living up to 40 (LU40) and up to 60 years of age (LU60) in Brazilian municipalities between 1991 and 2010. METHODS: We analyzed data from the last three national census (1991, 2000 and 2010) computed for the 5565 Brazilian municipalities. They were divided into centiles according to the average per capita income. Poisson regression was performed to calculate the ratios between the poorest and the richest centiles. RESULTS: The average LE (+ 8.8 years), LU40 [6.7 percentage points (pp)] and LU60 increased (12.2 pp) between 1991 and 2010. The ratio of LE between the 1% of richest counties and the 1% of poorest counties decreased from 1.20 in 1991 to 1.09 in 2010. While in the poorest municipalities there was a gain of around 12 years of life, among the richest this increase was around 7 years. CONCLUSIONS: There was a remarkable decrease in regional and socioeconomic inequality in LE, LU40 and LU60 in Brazil between 1991 and 2010.
Keywords:
Brazil; Epidemiology; Life expectancy; Mortality; Socioeconomic factors
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