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. 2021 Feb 15;11(2):e044706.
doi: 10.1136/bmjopen-2020-044706.

Uneven state distribution of homicides in Brazil and their effect on life expectancy, 2000-2015: a cross-sectional mortality study

Affiliations

Uneven state distribution of homicides in Brazil and their effect on life expectancy, 2000-2015: a cross-sectional mortality study

José Manuel Aburto et al. BMJ Open. .

Abstract

Objective: To determine cause-specific and age-specific contributions to life expectancy changes between 2000 and 2015, separately by state and sex in Brazil, with a focus on homicides.

Design: Retrospective cross-sectional demographic analysis of mortality.

Setting and population: Brazilian population by age, sex and state from 2000 to 2015.

Main outcome measure: Using mortality data from the Brazilian Mortality Information System and population estimates from the National Statistics Office, we used death distribution methods and the linear integral decomposition model to estimate levels and changes in life expectancy. We also examine how multiple causes of death, including those attributable to homicides and amenable/avoidable mortality, contributed to these changes from 2000 to 2015.

Results: Between 2000 and 2015, life expectancy in Brazil increased from 71.5 to 75.1 years. Despite state-level variation in gains, life expectancy increased in almost all states over this period. However across Brazil, homicide mortality contributed, to varying degrees, to either attenuated or decreased male life expectancy gains. In Alagoas in 2000-2007 and Sergipe in 2007-2015, homicides contributed to a reduction in life expectancy of 1.5 years, offsetting gains achieved through improvements due to medically amenable causes. In the period 2007-2015, male life expectancy could have been improved by more than half a year in 12 of Brazil's states if homicide mortality had remained at the levels of 2007.

Conclusions: Homicide mortality appears to offset life expectancy gains made through recent improvements to mortality amenable to medical services and public health interventions, with considerable subnational heterogeneity in the extent of this phenomenon. Efforts combating the causes of homicides can increase life expectancy beyond what has been achieved in recent decades.

Keywords: demography; health policy; public health.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Changes in life expectancy at birth in Brazil (in years), by state and period, from 2000 to 2007 (pink dots) and from 2007 to 2015 (blue triangles). The dashed line at zero represents the situation of no changes in life expectancy over time, whereas dots and triangles to the right (left) of this line correspond to increases (decreases) in life expectancy.
Figure 2
Figure 2
Contribution of homicides to changes in life expectancy at birth in Brazil (in years), by state and period, from 2000 to 2007 (pink dots) and from 2007 to 2015 (blue triangles). The dashed line at zero represents the situation of no contribution to changes in life expectancy over time, whereas dots and triangles to the right (left) of this line correspond to increases (decreases) in life expectancy due to changes in homicides.
Figure 3
Figure 3
Contribution of ischaemic heart diseases (IHD) to changes in life expectancy at birth in Brazil (in years), by state and period, from 2000 to 2007 (pink dots) and from 2007 to 2015 (blue triangles). The dashed line at zero represents the situation of no contribution to changes in life expectancy over time, whereas dots and triangles to the right (left) of this line correspond to increases (decreases) in life expectancy due to changes in IHD.
Figure 4
Figure 4
Contribution of causes amenable to medical service to changes in life expectancy at birth in Brazil (in years), by state and period, from 2000 to 2007 (pink dots) and from 2007 to 2015 (blue triangles). The dashed line at zero represents the situation of no contribution to changes in life expectancy over time, whereas dots and triangles to the right (left) of this line correspond to increases (decreases) in life expectancy due to changes in causes amenable to medical service.

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