scholarly journals Correction: Alcohol-Related Risk of Suicidal Ideation, Suicide Attempt, and Completed Suicide: A Meta-Analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0241874
Author(s):  
Nahid Darvishi ◽  
Mehran Farhadi ◽  
Tahereh Haghtalab ◽  
Jalal Poorolajal
PLoS ONE ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. e0126870 ◽  
Author(s):  
Nahid Darvishi ◽  
Mehran Farhadi ◽  
Tahereh Haghtalab ◽  
Jalal Poorolajal

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Xiaofen Wang ◽  
Sixiang Cheng ◽  
Huilan Xu

Abstract Background The potential link between sleep disorders and suicidal behaviour has been the subject of several reviews. We performed this meta-analysis to estimate the overall association between sleep disorders and suicidal behaviour and to identify a more specific relationship in patients with depression. Methods A systematic search strategy was developed across the electronic databases PubMed, EMBASE and the Cochrane Library from inception to January 1, 2019 for studies that reported a relationship between sleep disorders and suicidal behaviour in depressed patients. The odds ratio (OR) and corresponding 95% confidence interval (CI) were used to measure the outcomes. Heterogeneity was evaluated by Cochran’s Q test and the I2 statistic. The Newcastle-Ottawa Scale (NOS) was adopted to evaluate the methodological quality of each of the included studies, and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to assess the quality of the evidence. We calculated the overall association between sleep disorders and suicidal behaviour and estimated more specific categories, including insomnia, nightmares, hypersomnia, suicidal ideation, suicide attempt, and completed suicide. Results A total of 18 studies were included in this study. Overall, sleep disorders were closely related to suicidal behaviour in patients with depression (OR = 2.45 95% CI: 1.33 4.52). The relatively increased risks of sleep disorders with suicidal ideation, suicide attempt and completed suicide ranged from 1.24 (95% CI: 1.00 1.53) to 2.41 (95% CI: 1.45 4.02). Nightmares were found to be highly correlated with the risk of suicidal behaviour (OR = 4.47 95% CI: 2.00 9.97), followed by insomnia (OR = 2.29 95% CI: 1.69 3.10). The certainty of the evidence was rated as very low for the overall outcome and the major depression subgroup and was rated as low for the depression subgroup. Conclusions This meta-analysis supports the finding that sleep disorders, particularly nightmares and insomnia, increase the risk of suicidal behaviour in depressed patients. Considering that all included studies were observational, the quality of the evidence is rated as very low. More well-designed studies are needed to confirm our findings and to better explain the mechanisms by which sleep disorders aggravate suicidal behaviour in depressed patients.


2015 ◽  
Vol 38 (3) ◽  
pp. e282-e291 ◽  
Author(s):  
Jalal Poorolajal ◽  
Tahereh Haghtalab ◽  
Mehran Farhadi ◽  
Nahid Darvishi

2019 ◽  
Vol 29 (9) ◽  
pp. 1175-1194 ◽  
Author(s):  
Sophie Epstein ◽  
Emmert Roberts ◽  
Rosemary Sedgwick ◽  
Catherine Polling ◽  
Katie Finning ◽  
...  

Abstract Self-harm and suicidal ideation in children and adolescents are common and are risk factors for completed suicide. Social exclusion, which can take many forms, increases the risk of self-harm and suicidal ideation. One important marker of social exclusion in young people is school absenteeism. Whether school absenteeism is associated with these adverse outcomes, and if so to what extent, remains unclear. To determine the association between school absenteeism and both self-harm (including completed suicide) and suicidal ideation in children and adolescents, we conducted a systematic review of observational studies. We conducted meta-analysis and report a narrative synthesis where this was not possible. Meta-analysis of cross-sectional studies showed that school absenteeism was associated with an increased risk of self-harm [pooled adjusted odds ratio (aOR) 1.37, 95% confidence interval 1.20–1.57, P = 0.01] and of suicidal ideation (pooled aOR 1.20, 95% CI 1.02–1.42, P = 0.03). A small number of studies showed that school absenteeism had a longitudinal association with both adverse outcomes. Heterogeneity in the exposure and outcome variables, study design and reporting was prominent and limited the extent to which it was appropriate to pool results. School absenteeism was associated with both self-harm and suicidal ideation in young people, but this evidence was derived from a small number of cross-sectional studies. Further research into the mechanisms of this association could help to inform self-harm and suicide prevention strategies at clinical, school and population levels.


2020 ◽  
Vol 277 ◽  
pp. 253-259
Author(s):  
Ju-Hong Pei ◽  
Xing-Lei Wang ◽  
Yang Yu ◽  
Ya-Bin Zhang ◽  
Lin Gou ◽  
...  

2016 ◽  
Vol 27 (2) ◽  
pp. 186-198 ◽  
Author(s):  
A. A. M. Hubers ◽  
S. Moaddine ◽  
S. H. M. Peersmann ◽  
T. Stijnen ◽  
E. van Duijn ◽  
...  

Aims.Several authors claimed that expression of suicidal ideation is one of the most important predictors of completed suicide. However, the strength of the association between suicidal ideation and subsequent completed suicide has not been firmly established in different populations. Furthermore, the absolute suicide risk after expression of suicidal ideation is unknown. In this meta-analysis, we examined whether the expression of suicidal ideation predicted subsequent completed suicide in various populations, including both psychiatric and non-psychiatric populations.Methods.A meta-analysis of cohort and case–control studies that assessed suicidal ideation as determinant for completed suicide in adults. Two independent reviewers screened 5726 articles for eligibility and extracted data of the 81 included studies. Pooled risk ratios were estimated in a random effects model stratified for different populations. Meta-regression analysis was used to determine suicide risk during the first year of follow-up.Results.The risk for completed suicide was clearly higher in people who had expressed suicidal ideation compared with people who had not, with substantial variation between the different populations: risk ratio ranging from 2.35 (95% confidence interval (CI) 1.43–3.87) in affective disorder populations to 8.00 (95% CI 5.46–11.7) in non-psychiatric populations. In contrast, the suicide risk after expression of suicidal ideation in the first year of follow-up was higher in psychiatric patients (risk 1.40%, 95% CI 0.74–2.64) than in non-psychiatric participants (risk 0.23%, 95% CI 0.10–0.54). Past suicide attempt-adjusted risk ratios were not pooled due to large underreporting.Conclusions.Assessment of suicidal ideation is of priority in psychiatric patients. Expression of suicidal ideation in psychiatric patients should prompt secondary prevention strategies to reduce their substantial increased risk of suicide.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261785
Author(s):  
Chanhee Seo ◽  
Christina Di Carlo ◽  
Selina Xiangxu Dong ◽  
Karine Fournier ◽  
Kay-Anne Haykal

Background Medical training poses significant challenge to medical student wellbeing. With the alarming trend of trainee burnout, mental illness, and suicide, previous studies have reported potential risk factors associated with suicidal behaviours among medical students. The objective of this study is to provide a systematic overview of risk factors for suicidal ideation (SI) and suicide attempt (SA) among medical students and summarize the overall risk associated with each risk factor using a meta-analytic approach. Methods Systemic search of six electronic databases including MEDLINE, Embase, Education Source, Scopus, PsycInfo, and CINAHL was performed from database inception to March 19, 2021. Studies reporting original quantitative or epidemiological data on risk factors associated with SI and SA among undergraduate medical students were included. When two or more studies reported outcome on the same risk factor, a random-effects inverse variance meta-analysis was performed to estimate the overall effect size. Results Of 4,053 articles identified, 25 studies were included. Twenty-two studies reported outcomes on SI risk factors only, and three studies on both SI and SA risk factors. Meta-analysis was performed on 25 SI risk factors and 4 SA risk factors. Poor mental health outcomes including depression (OR 6.87; 95% CI [4.80–9.82] for SI; OR 9.34 [4.18–20.90] for SA), burnout (OR 6.29 [2.05–19.30] for SI), comorbid mental illness (OR 5.08 [2.81–9.18] for SI), and stress (OR 3.72 [1.39–9.94] for SI) presented the strongest risk for SI and SA among medical students. Conversely, smoking cigarette (OR 1.92 [0.94–3.92]), family history of mental illness (OR 1.79 [0.86–3.74]) and suicidal behaviour (OR 1.38 [0.80–2.39]) were not significant risk factors for SI, while stress (OR 3.25 [0.59–17.90]), female (OR 3.20 [0.95–10.81]), and alcohol use (OR 1.41 [0.64–3.09]) were not significant risk factors for SA among medical students. Conclusions Medical students face a number of personal, environmental, and academic challenges that may put them at risk for SI and SA. Additional research on individual risk factors is needed to construct effective suicide prevention programs in medical school.


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