Literature DB >> 25095757

Spatial analysis of suicide mortality in Québec: spatial clustering and area factor correlates.

André Ngamini Ngui1, Philippe Apparicio2, Elena Moltchanova3, Helen-Maria Vasiliadis4.   

Abstract

Understanding the spatial distribution of suicide can inform the planning, implementation and evaluation of suicide prevention actions. No previous study has assessed spatial clustering of the different methods of suicide in Quebec. The aim of this study was to assess spatial clustering of suicide in Quebec between 2004 and 2007 and neighborhood level predictors of the clusters. Scan statistics was applied to detect clusters of suicides by method and by sex. Smoothed standardized mortality ratios (SMRs) for suicide for each neighborhood were also estimated and their association with neighborhood characteristics was investigated using the Bayesian hierarchical spatial model. The pattern of suicide rate was different among men and women; men showed higher standardized mortality rates. The most likely clusters of suicide were found in remote rural areas. However, some neighborhoods in urban areas also had noticeable suicide clusters. Firearms suicide was most likely found in remote rural areas while poisoning and hanging suicide methods clustered in urban areas. These findings suggest that it is important to take geographical variations into account in national policy and health services planning.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Bayesian hierarchical models; Public health; SatScan; Spatial analysis; Spatial clusters; Suicide; Suicide methods

Mesh:

Year:  2014        PMID: 25095757     DOI: 10.1016/j.psychres.2014.07.033

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  9 in total

1.  Deprivation and suicide mortality across 424 neighborhoods in Seoul, South Korea: a Bayesian spatial analysis.

Authors:  Tae-Ho Yoon; Maengseok Noh; Junhee Han; Kyunghee Jung-Choi; Young-Ho Khang
Journal:  Int J Public Health       Date:  2015-05-29       Impact factor: 3.380

2.  Space-Time Cluster Analysis to Detect Innovative Clinical Practices: A Case Study of Aripiprazole in the Department of Veterans Affairs.

Authors:  Robert B Penfold; James F Burgess; Austin F Lee; Mingfei Li; Christopher J Miller; Marjorie Nealon Seibert; Todd P Semla; David C Mohr; Lewis E Kazis; Mark S Bauer
Journal:  Health Serv Res       Date:  2016-12-22       Impact factor: 3.402

3.  Can We Develop a Risk Map for Suicide Rates? An Ecological Study in Portugal.

Authors:  Joao Victor Muniz Rocha; Carla Nunes
Journal:  Community Ment Health J       Date:  2019-11-25

4.  Urban-Rural Differences in Suicide in the State of Maryland: The Role of Firearms.

Authors:  Paul S Nestadt; Patrick Triplett; David R Fowler; Ramin Mojtabai
Journal:  Am J Public Health       Date:  2017-08-17       Impact factor: 9.308

Review 5.  Quantitative Methods to Detect Suicide and Self-Harm Clusters: A Systematic Review.

Authors:  Ruth Benson; Jan Rigby; Christopher Brunsdon; Grace Cully; Lay San Too; Ella Arensman
Journal:  Int J Environ Res Public Health       Date:  2022-04-27       Impact factor: 4.614

Review 6.  Rural-Urban Differences in Suicide Mortality: An Observational Study in Newfoundland and Labrador, Canada: Différences de la Mortalité Par Suicide en Milieu Rural-Urbain: Une Étude Observationnelle à Terre-Neuve et Labrador, Canada.

Authors:  Charlene Reccord; Nicole Power; Keeley Hatfield; Yordan Karaivanov; Shree Mulay; Margo Wilson; Nathaniel Pollock
Journal:  Can J Psychiatry       Date:  2021-02-12       Impact factor: 4.356

7.  Suicide mortality among youth in southern Brazil: a spatiotemporal evaluation of socioeconomic vulnerability.

Authors:  Ana C Alarcão; Cátia M Dell' Agnolo; João R Vissoci; Elias C A Carvalho; Catherine A Staton; Luciano de Andrade; Kátia B Fontes; Sandra M Pelloso; Júlio C Nievola; Maria D Carvalho
Journal:  Braz J Psychiatry       Date:  2020 Jan-Feb       Impact factor: 2.697

8.  Spatial transmission and meteorological determinants of tuberculosis incidence in Qinghai Province, China: a spatial clustering panel analysis.

Authors:  Hua-Xiang Rao; Xi Zhang; Lei Zhao; Juan Yu; Wen Ren; Xue-Lei Zhang; Yong-Cheng Ma; Yan Shi; Bin-Zhong Ma; Xiang Wang; Zhen Wei; Hua-Fang Wang; Li-Xia Qiu
Journal:  Infect Dis Poverty       Date:  2016-06-02       Impact factor: 4.520

9.  Does Walkability Contribute to Geographic Variation in Psychosocial Distress? A Spatial Analysis of 91,142 Members of the 45 and Up Study in Sydney, Australia.

Authors:  Darren J Mayne; Geoffrey G Morgan; Bin B Jalaludin; Adrian E Bauman
Journal:  Int J Environ Res Public Health       Date:  2018-02-06       Impact factor: 3.390

  9 in total

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