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Seasonality of Suicides among Victims Who Are under the Influence of Alcohol

Introduction: Suicide is one of the most frequent causes of death. According to the World Health Organization (WHO), each year, over eight hundred thousand people worldwide die as a result of suicide. The most common risk factors for suicide are depressive disorders and alcohol dependence. Alcohol c...

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Autores principales: Lasota, Dorota, Pawłowski, Witold, Krajewski, Paweł, Staniszewska, Anna, Goniewicz, Krzysztof, Goniewicz, Mariusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6696555/
https://www.ncbi.nlm.nih.gov/pubmed/31390817
http://dx.doi.org/10.3390/ijerph16152806
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author Lasota, Dorota
Pawłowski, Witold
Krajewski, Paweł
Staniszewska, Anna
Goniewicz, Krzysztof
Goniewicz, Mariusz
author_facet Lasota, Dorota
Pawłowski, Witold
Krajewski, Paweł
Staniszewska, Anna
Goniewicz, Krzysztof
Goniewicz, Mariusz
author_sort Lasota, Dorota
collection PubMed
description Introduction: Suicide is one of the most frequent causes of death. According to the World Health Organization (WHO), each year, over eight hundred thousand people worldwide die as a result of suicide. The most common risk factors for suicide are depressive disorders and alcohol dependence. Alcohol can directly influence a decision about suicide, or be a factor facilitating this decision. The aim of the study was to analyse the seasonality of suicides among persons under the influence of alcohol. Material and Methods: Data for analysis were obtained from the Department of Forensic Medicine (DFM) of the Medical University of Warsaw. A retrospective analysis was performed on 317 victims of suicides by hanging, those which were entered into the registry of deaths kept by the DFM in the years 2009–2013. The analysis took into account the age and sex of victims, initial cause of death, date of post-mortem examination, autopsy result and alcohol concentration in the blood or muscles of the victims. Statistical analysis was performed using IBM SPSS Statistics version 20. Results: In the analysis, a spring peak of suicides was found for men, and an autumn peak was revealed for women. In addition, a significant correlation was observed between the age of victims and the concentration of alcohol; the older the victims, the higher the alcohol concentration. However, this correlation was reported only in the spring months. Conclusions: The results of the analysis seem to be consistent with seasonal patterns observed in other studies, and they indicate the occurrence of suicide seasonality. In order to improve the strategies of suicide prevention, it is necessary to identify factors which are related to the seasonal variation of suicidal behaviours, as well as to gain knowledge about the mechanisms behind this phenomenon.
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spelling pubmed-66965552019-09-05 Seasonality of Suicides among Victims Who Are under the Influence of Alcohol Lasota, Dorota Pawłowski, Witold Krajewski, Paweł Staniszewska, Anna Goniewicz, Krzysztof Goniewicz, Mariusz Int J Environ Res Public Health Article Introduction: Suicide is one of the most frequent causes of death. According to the World Health Organization (WHO), each year, over eight hundred thousand people worldwide die as a result of suicide. The most common risk factors for suicide are depressive disorders and alcohol dependence. Alcohol can directly influence a decision about suicide, or be a factor facilitating this decision. The aim of the study was to analyse the seasonality of suicides among persons under the influence of alcohol. Material and Methods: Data for analysis were obtained from the Department of Forensic Medicine (DFM) of the Medical University of Warsaw. A retrospective analysis was performed on 317 victims of suicides by hanging, those which were entered into the registry of deaths kept by the DFM in the years 2009–2013. The analysis took into account the age and sex of victims, initial cause of death, date of post-mortem examination, autopsy result and alcohol concentration in the blood or muscles of the victims. Statistical analysis was performed using IBM SPSS Statistics version 20. Results: In the analysis, a spring peak of suicides was found for men, and an autumn peak was revealed for women. In addition, a significant correlation was observed between the age of victims and the concentration of alcohol; the older the victims, the higher the alcohol concentration. However, this correlation was reported only in the spring months. Conclusions: The results of the analysis seem to be consistent with seasonal patterns observed in other studies, and they indicate the occurrence of suicide seasonality. In order to improve the strategies of suicide prevention, it is necessary to identify factors which are related to the seasonal variation of suicidal behaviours, as well as to gain knowledge about the mechanisms behind this phenomenon. MDPI 2019-08-06 2019-08 /pmc/articles/PMC6696555/ /pubmed/31390817 http://dx.doi.org/10.3390/ijerph16152806 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lasota, Dorota
Pawłowski, Witold
Krajewski, Paweł
Staniszewska, Anna
Goniewicz, Krzysztof
Goniewicz, Mariusz
Seasonality of Suicides among Victims Who Are under the Influence of Alcohol
title Seasonality of Suicides among Victims Who Are under the Influence of Alcohol
title_full Seasonality of Suicides among Victims Who Are under the Influence of Alcohol
title_fullStr Seasonality of Suicides among Victims Who Are under the Influence of Alcohol
title_full_unstemmed Seasonality of Suicides among Victims Who Are under the Influence of Alcohol
title_short Seasonality of Suicides among Victims Who Are under the Influence of Alcohol
title_sort seasonality of suicides among victims who are under the influence of alcohol
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6696555/
https://www.ncbi.nlm.nih.gov/pubmed/31390817
http://dx.doi.org/10.3390/ijerph16152806
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