Preliminary spatiotemporal analysis of the association between socio-environmental factors and suicide
Data(s) |
01/10/2009
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Resumo |
Background: The seasonality of suicide has long been recognised. However, little is known about the relative importance of socio-environmental factors in the occurrence of suicide in different geographical areas. This study examined the association of climate, socioeconomic and demographic factors with suicide in Queensland, Australia, using a spatiotemporal approach. Methods: Seasonal data on suicide, demographic variables and socioeconomic indexes for areas in each Local Government Area (LGA) between 1999 and 2003 were acquired from the Australian Bureau of Statistics. Climate data were supplied by the Australian Bureau of Meteorology. A multivariable generalized estimating equation model was used to examine the impact of socio-environmental factors on suicide. Results: The preliminary data analyses show that far north Queensland had the highest suicide incidence (e.g., Cook and Mornington Shires), while the south-western areas had the lowest incidence (e.g., Barcoo and Bauhinia Shires) in all the seasons. Maximum temperature, unemployment rate, the proportion of Indigenous population and the proportion of population with low individual income were statistically significantly and positively associated with suicide. There were weaker but not significant associations for other variables. Conclusions: Maximum temperature, the proportion of Indigenous population and unemployment rate appeared to be major determinants of suicide at a LGA level in Queensland. |
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application/pdf |
Identificador | |
Publicador |
BioMed Central Ltd. |
Relação |
http://eprints.qut.edu.au/29573/1/29573.pdf DOI:10.1186/1476-069X-8-46 Qi, Xin, Tong, Shilu, & Hu, Wenbiao (2009) Preliminary spatiotemporal analysis of the association between socio-environmental factors and suicide. Environmental Health : A Global Access Science Source, 8 (46 ), 1 -12 . |
Direitos |
Copyright 2009 BioMed Central Ltd |
Fonte |
Faculty of Health; Institute of Health and Biomedical Innovation; School of Public Health & Social Work |
Palavras-Chave | #111705 Environmental and Occupational Health and Safety #111706 Epidemiology #Generalized Estimating Equations Model #Geographical Information System #Spatiotemporal Analysis #Socio-Environmental Factors #Suicide |
Tipo |
Journal Article |