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The Mexican Cycle of Suicide: A National Analysis of Seasonality, 2000-2013

INTRODUCTION: Suicide is a complex and multifactorial phenomenon with growing importance to public health. An increase in its occurrence has been observed in Mexico over the past 10 years. The present article analyzes the secular trend in suicide at the national level between the years 2000 and 2013...

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Autores principales: Fernández-Niño, Julián Alfredo, Astudillo-García, Claudia Iveth, Bojorquez-Chapela, Ietza, Morales-Carmona, Evangelina, Montoya-Rodriguez, Airain Alejandra, Palacio-Mejia, Lina Sofia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709116/
https://www.ncbi.nlm.nih.gov/pubmed/26752641
http://dx.doi.org/10.1371/journal.pone.0146495
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author Fernández-Niño, Julián Alfredo
Astudillo-García, Claudia Iveth
Bojorquez-Chapela, Ietza
Morales-Carmona, Evangelina
Montoya-Rodriguez, Airain Alejandra
Palacio-Mejia, Lina Sofia
author_facet Fernández-Niño, Julián Alfredo
Astudillo-García, Claudia Iveth
Bojorquez-Chapela, Ietza
Morales-Carmona, Evangelina
Montoya-Rodriguez, Airain Alejandra
Palacio-Mejia, Lina Sofia
author_sort Fernández-Niño, Julián Alfredo
collection PubMed
description INTRODUCTION: Suicide is a complex and multifactorial phenomenon with growing importance to public health. An increase in its occurrence has been observed in Mexico over the past 10 years. The present article analyzes the secular trend in suicide at the national level between the years 2000 and 2013. MATERIALS AND METHODS: All suicides during the study period (n = 64,298, of which 82.11% were men) were characterized using a spectral decomposition of the time series and a wavelet analysis to evaluate the effect of seasonal changes, type of area (urban versus rural) and sex. RESULTS: A seasonal pattern was observed with statistically significant cycles every 12 months, where peaks were identified in May but only for men in urban zones as of the year 2007. In addition, specific days of the year were found to have a higher frequency of suicides, which coincided with holidays (New Year, Mother’s Day, Mexican Independence Day and Christmas). CONCLUSION: A wavelet analysis can be used to decompose complex time series. To the best of our knowledge, this is the first application of this technique to the study of suicides in developing countries. This analysis enabled identifying a seasonal pattern among urban men in Mexico. The identification of seasonal patterns can help to create primary prevention strategies, increase the dissemination of crisis intervention strategies and promote mental health. These strategies could be emphasized during specific periods of the year and directed towards profiles with a higher risk.
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spelling pubmed-47091162016-01-15 The Mexican Cycle of Suicide: A National Analysis of Seasonality, 2000-2013 Fernández-Niño, Julián Alfredo Astudillo-García, Claudia Iveth Bojorquez-Chapela, Ietza Morales-Carmona, Evangelina Montoya-Rodriguez, Airain Alejandra Palacio-Mejia, Lina Sofia PLoS One Research Article INTRODUCTION: Suicide is a complex and multifactorial phenomenon with growing importance to public health. An increase in its occurrence has been observed in Mexico over the past 10 years. The present article analyzes the secular trend in suicide at the national level between the years 2000 and 2013. MATERIALS AND METHODS: All suicides during the study period (n = 64,298, of which 82.11% were men) were characterized using a spectral decomposition of the time series and a wavelet analysis to evaluate the effect of seasonal changes, type of area (urban versus rural) and sex. RESULTS: A seasonal pattern was observed with statistically significant cycles every 12 months, where peaks were identified in May but only for men in urban zones as of the year 2007. In addition, specific days of the year were found to have a higher frequency of suicides, which coincided with holidays (New Year, Mother’s Day, Mexican Independence Day and Christmas). CONCLUSION: A wavelet analysis can be used to decompose complex time series. To the best of our knowledge, this is the first application of this technique to the study of suicides in developing countries. This analysis enabled identifying a seasonal pattern among urban men in Mexico. The identification of seasonal patterns can help to create primary prevention strategies, increase the dissemination of crisis intervention strategies and promote mental health. These strategies could be emphasized during specific periods of the year and directed towards profiles with a higher risk. Public Library of Science 2016-01-11 /pmc/articles/PMC4709116/ /pubmed/26752641 http://dx.doi.org/10.1371/journal.pone.0146495 Text en © 2016 Fernández-Niño et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fernández-Niño, Julián Alfredo
Astudillo-García, Claudia Iveth
Bojorquez-Chapela, Ietza
Morales-Carmona, Evangelina
Montoya-Rodriguez, Airain Alejandra
Palacio-Mejia, Lina Sofia
The Mexican Cycle of Suicide: A National Analysis of Seasonality, 2000-2013
title The Mexican Cycle of Suicide: A National Analysis of Seasonality, 2000-2013
title_full The Mexican Cycle of Suicide: A National Analysis of Seasonality, 2000-2013
title_fullStr The Mexican Cycle of Suicide: A National Analysis of Seasonality, 2000-2013
title_full_unstemmed The Mexican Cycle of Suicide: A National Analysis of Seasonality, 2000-2013
title_short The Mexican Cycle of Suicide: A National Analysis of Seasonality, 2000-2013
title_sort mexican cycle of suicide: a national analysis of seasonality, 2000-2013
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709116/
https://www.ncbi.nlm.nih.gov/pubmed/26752641
http://dx.doi.org/10.1371/journal.pone.0146495
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