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Previous issue date: 2017-12-04 / O suic?dio constitui um dos tipos de mortes violentas mais incidentes no mundo e, apesar da difus?o de programas de preven??o desse agravo no Brasil, o panorama de mortalidade por essa causa no pa?s ? preocupante, principalmente em algumas regi?es em que se observa uma eleva??o no percentual de ?bitos. O objetivo deste estudo foi analisar a distribui??o espa?o-temporal da mortalidade por suic?dio no estado do Rio Grande do Norte no per?odo de 2000 a 2015. Trata-se de um estudo ecol?gico misto que avaliou os ?bitos decorrentes de suic?dio registrados no Rio Grande do Norte, ocorridos no per?odo de 1? de janeiro de 2000 a 31 de dezembro de 2015. Os dados dos ?bitos foram obtidos no Sistema de Informa??o sobre Mortalidade, e as informa??es sobre popula??o foram obtidas do Instituto Brasileiro de Geografia e Estat?stica. A an?lise espacial foi realizada utilizando as taxas brutas, taxas padronizadas e taxas pelos estimadores Bayesianos. A an?lise univariada foi realizada atrav?s do ?ndice de Moran Global e Local para avaliar a intensidade e signific?ncia dos aglomerados espaciais utilizando o software Terraview 4.2. A an?lise bivariada espacial foi realizada pelo cruzamento entre as vari?veis sociodemogr?ficas e as taxas de mortalidade padronizadas por suic?dio utilizando o software GeoDa 1.6.1. Os Anos Potenciais de Vida Perdidos tamb?m foram calculados ao longo da s?rie hist?rica. Foi aplicada a Regress?o loglineal (Joinpoint regression) com taxas padronizadas (popula??o mundial) para estimar o Annual Percentage Change, o intervalo de confian?a 95% e os pontos de inflex?o da curva, a fim de verificar a tend?ncia de mortalidade por suic?dio no Rio Grande do Norte utilizando o software Joinpoint 4.5.0. A an?lise estat?stica cl?ssica foi aplicada para avaliar a correla??o entre as vari?veis do estudo e para isso utilizou-se o software SPSS 23.0. Foram registrados 2.266 ?bitos por suic?dio de 2000 a 2015, sendo a raz?o entre os sexos de 5:1 no ?ltimo ano. A an?lise espacial mostrou fraca autocorrela??o espacial para as Taxas de Mortalidade Padronizadas para ambos os sexos, com forma??o de aglomerados espaciais na Regi?o do Serid?, principalmente, para o sexo masculino. A an?lise bivariada mostrou forma??o de clusters na Regi?o do Serid? com as vari?veis IDH e Envelhecimento. Os estimadores bayesianos mostraram uma homogeneiza??o das taxas de mortalidade, sobretudo nos munic?pios com pequenos grupos populacionais. Foram perdidos 63582.5 anos potenciais de vida ao longo da s?rie hist?rica. Al?m disso, foi observada uma tend?ncia de aumento da mortalidade no sexo masculino at? o ano de 2003, seguido de um per?odo de estabilidade. Para o sexo feminino, a tend?ncia foi de estabilidade. A an?lise de vari?ncia apontou ainda para aus?ncia de diferen?as estatisticamente significativa entre as TMP e o porte dos munic?pios e regi?es de sa?de para a maioria dos anos do estudo. Conclui-se que a mortalidade por suic?dio no RN est? desigualmente distribu?da no territ?rio, estando associando espacialmente ?s ?reas com os melhores indicadores socioecon?micos. N?o h? tend?ncia significativa de aumento, por?m as diferen?as entre as regi?es do estado e de acordo com o porte dos munic?pios aumentaram ao longo da s?rie hist?rica. / Suicide is one of the most pervasive types of violent deaths in the world, and despite the diffusion of programs to prevent this condition in Brazil, the mortality situation in this country is worrying, especially in some regions where there is an increase in percentage of deaths. The objective of this study was to analyze the spatio-temporal distribution of mortality by suicide in the State of Rio Grande do Norte from 2000 to 2015. This is a mixed ecological study that evaluated the suicide deaths recorded in Rio Grande do Norte , occurring in the period from January 1, 2000 to December 31, 2015. Death data were obtained from the Mortality Information System, and population information was obtained from the Brazilian Institute of Geography and Statistics. Spatial analysis was performed using crude rates, standardized rates and rates by Bayesian estimators. The univariate analysis was performed using the Moran Global and Local Index to evaluate the intensity and significance of the spatial clusters using the Terraview 4.2 software. The spatial bivariate analysis was performed by crossing the sociodemographic variables with mortality rates standardized by suicide using GeoDa software 1.6.1. The Potential Years of Lost Life were also calculated throughout the historical series. The regression regression with standardized rates (world population) was used to estimate the Annual Percentage Change, the 95% confidence interval and the inflection points of the curve, in order to verify the suicide mortality trend in Rio Grande using the Joinpoint 4.5.0 software. The classical statistical analysis was applied to evaluate the correlation between the variables of the study and for that the software SPSS 23.0 was used. There were 2,266 deaths from suicide from 2000 to 2015, with the ratio between the sexes being 5: 1 in the last year. Spatial analysis showed poor spatial autocorrelation for the Standardized Mortality Rates for both sexes, with formation of spatial clusters in the Serid? Region, mainly for males. The bivariate analysis showed the formation of clusters in the Serid? Region with the HDI and Aging variables. Bayesian estimators showed a homogenization of mortality rates, especially in municipalities with small population groups. 6,3582.5 potential years of life were lost throughout the historical series. In addition, there was a trend of increased male mortality up to 2003, followed by a period of stability. For females, the trend was for stability. The analysis of variance also pointed to the absence of statistically significant differences between PMT and the size of municipalities and health regions for most of the study years. It is concluded that the mortality due to suicide in the NB is unequally distributed in the territory, being associated spatially to the areas with the best socioeconomic indicators. There is no significant trend of increase, however the differences between the regions of the state and according to the size of the municipalities increased during the historical series.
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/24764 |
| Date | 04 December 2017 |
| Creators | Santos, Emelynne Gabrielly de Oliveira |
| Contributors | 00953152413, Medeiros, Wilton Rodrigues, 91102880400, Bonfada, Diego, 04663937411, Barbosa, Isabelle Ribeiro |
| Publisher | PROGRAMA DE P?S-GRADUA??O EM SA?DE COLETIVA, UFRN, Brasil |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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