Title |
Risk of re-attempts and suicide death after a suicide attempt: A survival analysis
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Published in |
BMC Psychiatry, May 2017
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DOI | 10.1186/s12888-017-1317-z |
Pubmed ID | |
Authors |
Isabel Parra-Uribe, Hilario Blasco-Fontecilla, Gemma Garcia-Parés, Luis Martínez-Naval, Oliver Valero-Coppin, Annabel Cebrià-Meca, Maria A. Oquendo, Diego Palao-Vidal |
Abstract |
Suicide is the primary cause of unnatural death in Spain, and suicide re-attempts a major economic burden worldwide. The risk factors for re-attempt and suicide after an index suicide attempt are different. This study aims to investigate risk factors for re-attempt and suicide after an index suicide attempt. This observational study is part of a one-year telephone management program. We included all first-time suicide attempters evaluated in the emergency department at Parc Taulí-University Hospital (n = 1241) recruited over a five-year period (January 2008 to December 2012). Suicide attempters were evaluated at baseline using standardized instruments. Bivariate logistic regression models were used to identify risk factors. Kaplan-Meier curves were used to compare the time to re-attempt between categorical variables. Comparisons were performed using Log-Rank and Wilcoxon tests. Variables with a p-value lower than 0.2 were included in a multivariate Cox regression model. Bivariate logistic regression models were considered to identify risk factors for suicide. The significance level was set to 0.05. Suicide re-attempters were more likely diagnosed with cluster B personality disorders (36.8% vs. 16.6%; p < 0.001), and alcohol use disorders (19.8 vs. 13.9; p = 0.02). Several [1.2% (15/1241)] of them died by suicide. Attempters who suicide were more likely alcohol users (33.3% vs. 17.2%; p = 0.047), and older (50.9 ± 11.9 vs. 40.7 ± 16.0; p = 0.004). Alcohol use, personality disorders and younger age are risk factors for re-attempting. Older age is a risk factor for suicide among suicide attempters. Current prevention programs of suicidal behaviour should be tailored to the specific profile of each group. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 33% |
United States | 2 | 22% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 245 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 32 | 13% |
Researcher | 23 | 9% |
Student > Doctoral Student | 21 | 9% |
Student > Bachelor | 21 | 9% |
Student > Ph. D. Student | 18 | 7% |
Other | 65 | 27% |
Unknown | 65 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 61 | 25% |
Psychology | 45 | 18% |
Nursing and Health Professions | 16 | 7% |
Unspecified | 10 | 4% |
Social Sciences | 7 | 3% |
Other | 28 | 11% |
Unknown | 78 | 32% |