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Spatial patterns of suicide in the city of São Paulo and its socioeconomic-cultural correlates

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Author(s):
Daniel Hideki Bando
Total Authors: 1
Document type: Master's Dissertation
Press: São Paulo.
Institution: Universidade de São Paulo (USP). Faculdade de Filosofia, Letras e Ciências Humanas (FFLCH/SBD)
Defense date:
Examining board members:
Ligia Vizeu Barrozo; Julio Cesar Rodrigues Pereira; Luis Antonio Bittar Venturi
Advisor: Ligia Vizeu Barrozo
Abstract

The present study aims to analyse the space patterns of suicide occurence in the city of São Paulo, in the period from 1996 to 2005, and check its association with the socioeconomic-cultural variables (marital status, income, education, religion, migration). The choice of the analytical variables was based on the suicide risk factors lifted by the WHO and OPAS, and in the Durkheim´s suicide theory. The socioeconomic data used were originated from the IBGE and the mortality data from the PRO-AIM. The spatial scan test was applied to identify space patterns of suicide rates. In order to check the association with the socioeconomic-cultural variables, the logistic regression analysis was used. In the studied period, 4275 suicide deaths took place in the city of São Paulo, with a mean rate of 4,1/100 thousand inhabitant/year. The first spatial scan test, considering 50% of the total population as the maximum cluster size, identified 2 significant clusters, one of risk (RR = 1,66) composed by 18 districts of the central region, south-center and western-center of the city (Alto de Pinheiros, Barra Funda, Bela Vista, Bom Retiro, Brás, Cambuci, Consolação, Itaim Bibi, Jardim Paulista, Liberdade, Moema, Morumbi, Pinheiros, Perdizes, República, Santa Cecília, Sé, Vila Mariana) and one of protection (RR = 0,78) formed by 14 districts of the south region (Campo Grande, Campo Limpo, Capão Redondo, Cidade Ademar, Cidade Dutra, Grajaú, Jardim Ângela, Jardim São Luís, Santo Amaro, Socorro, Pedreira, Raposo Tavares, Vila Andrade, Vila Sônia). The test considering 5% of the total population as the maximum cluster size, found 2 significant clusters. In this test, the risk cluster of the first test was dismembered in two minor clusters, both of risk. The primary cluster presented RR = 1,92 in 9 central districts the secondary cluster RR = 1,58 in 6 districts of the south-centre. To the logistic regression analysis, the risk cluster identified in the first spatial scan test (18 districts) and the others 78 districts (contrast) were defined as dependent variables and the socioeconomic-cultural variables as independent. The first adjusted model in the multivaried regression identified these variables like risk: singles (OR = 2,36); migrant (OR = 1,49); catholics (OR = 1,36); high income (OR = 1,05). The second multivaried model identified these variables like protection: married (OR = 0,48); evangelic (0,60). The results can be explained by the literature risk factors, the Durkheim´s theory well-adjusted for the reality of São Paulo and by the difference between suicide and homicide. (AU)