Diferenciais de mortalidade jovem no Brasil: a importância dos fatores socioeconômicos dos domicílios e das condições de vida nos municípios e estados brasileiros

Abstract

Resumo: Neste artigo, analisou-se a relação entre o nível socioeconômico dos domicílios e das condições sociais locais com o risco de morte de jovens brasileiros. Foram utilizados os dados de óbitos ocorridos nos últimos 12 meses coletados pelo Censo Demográfico de 2010 para realizar a análise em nível local. A análise dos dados foi feita com base em modelos hierárquicos que possibilitaram identificar a contribuição das condições sociais dos domicílios, municípios e estado de residência na mortalidade de jovens no Brasil. Os resultados indicam que as diferenças nos níveis de status socioeconômico entre os domicílios são responsáveis por mais de 90% da variabilidade no risco de relato de óbito jovem pelo domicílio. Além disso, os resultados mostram que residir em uma localidade com baixo nível socioeconômico aumenta as chances de ocorrência de relato de óbito de jovens pelos domicílios de qualquer nível social no período.

Temporal and spatial estimates of adult mortality for small areas in Brazil, 1980-2010

“…However, we observe that the difference in adult mortality by sex has remained almost constant over the period of analysis. The main explanation is the high level of external causes of deaths for males across the country (Pereira and Queiroz, 2016;Malta, et.al, 2017;Ladeira, et.al, 2017). This also helps to explain the very small variation in 45q15 across regions of the country overtime.…”

“…This higher male mortality may be a consequence on the increase of violence rates on those areas (Moura, et..al, 2015;Waiselfisz, 2013;Reichenheim et al, 2011). While in the Southeast areas, the violence rates have been kept high, on the Northeast it increased relatively in the last two decade (Waiselfisz, 2013;de Andrade and Diniz, 2013;Carvalho, et.al, 2012;Pereira and Queiroz, 2016).…”

“…There are still significant differences across regions and we can identify hotspots of high levels of adult mortality in some areas of the countries. These areas are very related to an increase of mortality for external causes affecting young males (Waiselfisz, 2013;Pereira and Queiroz, 2016).…”

Estimativas do grau de cobertura e da mortalidade adulta (45q15) para as unidades da federação no Brasil entre 1980 e 2010

“…Regarding mortality estimates for Brazilian regions, the results indicate an improvement in health conditions, as measured by adult mortality. A highlight that needs to be studied further is the non-reduction of the mortality differential between males and females in this period, for which the main reason is deaths caused by violence and traffic accidents [26][27][28] . There is a probability of adult mortality above 0.200 for males and around 0.120 for females.…”

Socioeconomic Inequalities in Adult Mortality across Small Areas in Brazil: Exploration Analysis Using Machine Learning Models

“…In Brazil, there has been an overall reduction in the risk of morality in children, but this has been replaced with an increased risk beginning at 15 years of age, which is the onset of the transition to adulthood (Silva et al 2016). Therefore, the investigation of adult mortality, its geographic distribution and its association with socioeconomic characteristics is essential to understating contextual factors, causes and consequences regarding the generation of health inequalities in Brazil (Rentería-Peréz and Turra 2008; Pereira and Queiroz 2016).…”