| Literature DB >> 31390817 |
Dorota Lasota1, Witold Pawłowski2, Paweł Krajewski3, Anna Staniszewska4, Krzysztof Goniewicz5, Mariusz Goniewicz6.
Abstract
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.Entities:
Keywords: alcohol dependence; seasonality; suicide
Mesh:
Substances:
Year: 2019 PMID: 31390817 PMCID: PMC6696555 DOI: 10.3390/ijerph16152806
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Distribution of analysed variables.
|
|
|
|
| 2009 | 75 | 23.7 |
| 2010 | 63 | 19.9 |
| 2011 | 61 | 19.2 |
| 2012 | 57 | 18.0 |
| 2013 | 61 | 19.2 |
| Date of post-mortem examination |
| % |
| January | 20 | 6.3 |
| February | 18 | 5.7 |
| March | 28 | 8.8 |
| April | 27 | 8.5 |
| May | 37 | 11.7 |
| June | 33 | 10.4 |
| July | 29 | 9.1 |
| August | 21 | 6.6 |
| September | 28 | 8.8 |
| October | 23 | 7.3 |
| November | 25 | 7.9 |
| December | 28 | 8.8 |
| Gender |
| % |
| Women | 28 | 8.8 |
| Men | 289 | 91.2 |
| Initial cause of death |
| % |
| Hanging | 305 | 96.2 |
| Suspicion of hanging | 11 | 3.5 |
| Other | 1 | 0.3 |
| Results of post-mortem examination |
| % |
| Ligature mark | 311 | 98.1 |
| Ligature mark and other injury | 2 | 0.6 |
| Other | 4 | 1.3 |
Relationship between level of ethyl alcohol and age of victims depending on the season.
| Age | ||
|---|---|---|
| Winter | Pearson’s r | 0.074 |
| Significance | 0.554 | |
| Spring | Pearson’s r | 0.283 |
| Significance | 0.006 | |
| Summer | Pearson’s r | 0.112 |
| Significance | 0.315 | |
| Autumn | Pearson’s r | 0.156 |
| Significance | 0.178 | |
The average alcohol concentration in suicide victims depending on the season.
| Age | ||||||
|---|---|---|---|---|---|---|
| ≤40 Year | >40 Year | |||||
| N | M | SD | N | M | SD | |
| Winter | 33 | 1.67 | 1.07 | 33 | 1.88 | 0.90 |
| Spring | 46 | 1.57 | 0.98 | 46 | 1.90 | 0.88 |
| Summer | 45 | 1.64 | 0.83 | 38 | 1.94 | 0.80 |
| Autumn | 37 | 1.42 | 1.02 | 39 | 1.63 | 0.80 |
| Total | 161 | 1.58 | 0.97 | 156 | 1.84 | 0.85 |
Correlation between gender and a period in which an autopsy was carried out.
| Gender | General | ||||
|---|---|---|---|---|---|
| Women | Male | ||||
| Season of the year | Winter | Number | 7a | 59a | 66 |
| % of gender | 25.0% | 20.4% | 20.8% | ||
| Spring | Number | 3a | 89b | 92 | |
| % of gender | 10.7% | 30.8% | 29.0% | ||
| Summer | Number | 6a | 77a | 83 | |
| % of gender | 21.4% | 26.6% | 26.2% | ||
| Autumn | Number | 12a | 64b | 76 | |
| % of gender | 42.9% | 22.1% | 24.0% | ||
| General | Number | 28 | 289 | 317 | |
| % of gender | 100.0% | 100.0% | 100.0% | ||
Note: the proportions between the columns that do not share the letter index differ significantly between each other at the level of p < 0.05.
Number and percentage of suicide victims, broken down by age, depending on the season.
| Age | Total | ||||
|---|---|---|---|---|---|
| ≤40 Year | >40 Year | ||||
| Season | Winter | Number | 33 | 33 | 66 |
| % of the age | 20.5% | 21.2% | 20.8% | ||
| Spring | Number | 46 | 46 | 92 | |
| % of the age | 28.6% | 29.5% | 29.0% | ||
| Summer | Number | 45 | 38 | 83 | |
| % of the age | 28.0% | 24.4% | 26.2% | ||
| Autumn | Number | 37 | 39 | 76 | |
| % of the age | 23.0% | 25.0% | 24.0% | ||
| Total | Number | 161 | 156 | 317 | |
| % of the age | 100.0% | 100.0% | |||