Spatiotemporal pattern and indicators associated with suicide




Suicide; Epidemiology; Spatial Analysis; Time Series Studies; Ecological Studies.


Objective: to analyze the spatiotemporal pattern and indicators associated with the occurrence of suicide. Methods: ecological study that analyzed the deaths by suicide repor- ted in the Mortality Information System. For temporal and spatial analysis, the Joinpoint and Scan methods were employed, respectively. Multivariate analysis was performed by the Ordinary Least Squares Estimation model, considering p<0.05. Results: significant growth in suicide mortality of 4.2% per year was observed. The highest Bayesian mortality rates ranged from 8.90 to 13.49 deaths per 100,000 population. Five statistically significant spatial clusters were identified (p<0.050). The primary cluster encompassed 64 municipalities, with a suicide risk 1.38 times higher (p<0.001). The indicators associated with suicide were Urbanization rate (β=0.07; p=0.020) and Employment & income (β=-9.40; p=0.030). Conclusion: there was a significant increase in suicide, and five spatial clusters were identified. The indicators Urbanization rate and Employment & income were associated with the grievance.


World Health Organization (WHO). Suicide in the world: global health estimates [Internet]. 2019 [cited Apr 27, 2021]. Available from:

Bachmann S. Epidemiology of suicide and the psychiatric perspective. Int J Environ Res Public Health. 2018; 15(7):1425. doi:

Palma DCA, Santos ES, Ignotti E. Analysis of spatial patterns and characterization of suicides in Brazil from 1990 to 2015. Cad Saúde Pública. 2020; 36(4):e00092819. doi:

Marcolan JF, Silva DA. O comportamento suicida na realidade brasileira: aspectos epidemiológicos e da política de prevenção. Rev M. 2019; 4(7):31-44. doi:

Ribeiro JF, Mascarenhas TB, Araújo ACBS, Coelho DMMC, Branca SBP, Coelho DMMC. Sociodemographic Profile of Suicide Mortality. Rev Enferm UFPE Line. 2018; 12(1):44-50. doi:

Santos EGO, Barbosa IR. Spacial conglomerates of mortality by suicide in northeast Brazil and its relationship with socioeconomic indicators. Cad Saúde Coletiva. 2017; 25(3):371-8. doi:

Ministério da Saúde (BR). Departamento de Informática do Sistema Único de Saúde (DATASUS). Informações de Saúde (TABNET) – DATASUS [Internet]. 2020 [cited Apr 27, 2021]. Available from:

Instituto Brasileiro de Geografia e Estatística (IBGE). Censo demográfico 2010 [Internet]. 2010 [cited Apr 18, 2021]. Available from:

Sousa GJB, Garces TS, Pereira MLD, Moreira TMM, Silveira GM. Temporal pattern of tuberculosis cure, mortality, and treatment abandonment in Brazilian capitals. Rev Latino-Am Enfermagem. 2019; 27:e3218. doi:

Federação das Indústrias do Estado do Rio de Janeiro. Índice FIRJAN de Desenvolvimento Municipal (IFDM) [Internet]. 2018 [cited Apr 27, 2021]. Available from:

Carmo ÉA, Ribeiro BS, Nery AA, Casotti CA. Time trend in suicide mortality in the state of Bahia. Cogitare Enferm. 2018; 23(2):e52516. doi:

Rodrigues CD, Souza DS, Rodrigues HM, Konstantyner TCRO. Trends in suicide rates in Brazil from 1997 to 2015. Braz J Psychiatry. 2019; 41(5):380-8. doi:

Programa das Nações Unidas para o Desenvolvimento. Atlas do Desenvolvimento Humano no Brasil [Internet]. 2021 [cited Apr 27, 2021]. Available from:

Dantas AP, Azevedo UN, Nunes AD, Amador AE, Marques MV, Barbosa IR. Analysis of suicide mortality in Brazil: spatial distribution and socioeconomic context. Rev Bras Psiquiatr. 2018; 40(1):12-8. doi:

Feltrin RJ, Almeida HJF. Socio-economic determinants of suicide in Santa Catarina: a panel data analysis. Planej Políticas Públicas. 2020; 55:271-94. doi:

Barroso SM, Oliveira NR, Andrade VS. Loneliness and depression: relations with personal characteristics and life habits in university students. Psic Teor Pesq. 2019; 35:e35427. doi:

Machado DB, Pescarini JM, Araújo LFSC, Barreto ML. Austerity policies in Brazil may affect violence related outcomes. Ciênc Saúde Coletiva. 2019; 24(12):4385-93. doi:

Amaral SS. Suicide in RN and its relationship with spatial determinants, urbanization, development and other socioeconomic factors. Rev Bras Estud Reg Urbanos [Internet]. 2019 [cited Apr 17, 2021];13(2):288-308. Available from:

Loureiro A, Almendra R, Costa C, Santana P. Mortality from suicide in the municipalities of Mainland Portugal: spatio-temporal evolution between 1980 and 2015. Acta Med Port. 2018; 31(1):38-44. doi:

İlgün G, Yetim B, Demirci Ş, Konca M. Individual and socio-demographic determinants of suicide: an examination on WHO countries. Int J Soc Psychiatry. 2020; 66(2):124-8. doi:



How to Cite

Pereira, C. do N., Maranhão, T. A., Silva, I. G. da, Silva, T. L., Sousa, G. J. B., Lira Neto, J. C. G., & Pereira, M. L. D. (2022). Spatiotemporal pattern and indicators associated with suicide. Rev Rene, 23, e70998.



Research Article

Most read articles by the same author(s)

1 2 > >>