scholarly journals Advancing Prevention Research on the Role of Culture in Suicide Prevention: An Introduction

2008 ◽  
Vol 38 (3) ◽  
pp. 321-322 ◽  
Author(s):  
Keisha L Shropshire ◽  
Jane Pearson ◽  
Sean Joe ◽  
Dan Romer ◽  
Silvia Sara Canetto
2017 ◽  
Vol 41 (S1) ◽  
pp. S293-S294
Author(s):  
K. Galway ◽  
S. Mallon ◽  
G. Leavey ◽  
J. Rondon-Sulbaran

IntroductionBereavement is considered to be a common precursor of death by suicide. Studies suggest those bereaved by suicide may be particularly vulnerable to suicide themselves. Recently, there has been a concern over the number of deaths by suicide across UK and Europe. As a result, an increasing number have been exposed to bereavement by suicide. It remains unclear how these deaths might impact on future suicide rates.ObjectivesTo examine a two-year cohort of all suicides in Northern Ireland, in order to report on bereavements recorded in the records of those who died by suicide. To assess the bearing of these deaths on those left behind.AimsTo provide an estimate of the prevalence and types of bereavements that may have contributed towards the suicide.MethodsFollowing the sociological autopsy approach to studying death by suicide, data was collected from a range of sources, including GP records and Coroner records and interviews with bereaved relatives. The analyses draw on relatives’ accounts in order to increase our understanding of the impact of suicide bereavement. Interviews took place between 18 months and 5 years after the death by suicide.ResultsOf the 403 deaths by suicide, 15% of the individuals experienced bereavement and 9% bereavement by suicide. The results support the assertion in the literature that bereavement by suicide increases the risk of suicide through a process of suicide contagion.ConclusionsThe conclusion explains how the findings will be fed into knowledge translation processes, to provide future programs of suicide prevention research and changes to practice.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2008 ◽  
Vol 38 (3) ◽  
pp. 354-362 ◽  
Author(s):  
Sean Joe ◽  
Silvia Sara Canetto ◽  
Daniel Romer

Crisis ◽  
2020 ◽  
pp. 1-8
Author(s):  
Chao S. Hu ◽  
Jiajia Ji ◽  
Jinhao Huang ◽  
Zhe Feng ◽  
Dong Xie ◽  
...  

Abstract. Background: High school and university teachers need to advise students against attempting suicide, the second leading cause of death among 15–29-year-olds. Aims: To investigate the role of reasoning and emotion in advising against suicide. Method: We conducted a study with 130 students at a university that specializes in teachers' education. Participants sat in front of a camera, videotaping their advising against suicide. Three raters scored their transcribed advice on "wise reasoning" (i.e., expert forms of reasoning: considering a variety of conditions, awareness of the limitation of one's knowledge, taking others' perspectives). Four registered psychologists experienced in suicide prevention techniques rated the transcripts on the potential for suicide prevention. Finally, using the software Facereader 7.1, we analyzed participants' micro-facial expressions during advice-giving. Results: Wiser reasoning and less disgust predicted higher potential for suicide prevention. Moreover, higher potential for suicide prevention was associated with more surprise. Limitations: The actual efficacy of suicide prevention was not assessed. Conclusion: Wise reasoning and counter-stereotypic ideas that trigger surprise probably contribute to the potential for suicide prevention. This advising paradigm may help train teachers in advising students against suicide, measuring wise reasoning, and monitoring a harmful emotional reaction, that is, disgust.


2014 ◽  
Vol 9 (3) ◽  
pp. 2-6
Author(s):  
Sherry Davis Molock ◽  
Ariel Smith ◽  
David Jeffries ◽  
David Jean
Keyword(s):  

SAGE Open ◽  
2014 ◽  
Vol 4 (4) ◽  
pp. 215824401455358 ◽  
Author(s):  
Marek S. Kopacz ◽  
Laurie M. O’Reilly ◽  
Chris C. Van Inwagen ◽  
Theodore L. Bleck-Doran ◽  
William D. Smith ◽  
...  
Keyword(s):  

2007 ◽  
Vol 55 (3) ◽  
pp. 237-253 ◽  
Author(s):  
Karolina E. Krysinska ◽  
Diego De Leo

Development of information technology has created new opportunities and challenges in suicide prevention, research, and clinical practice. This article presents an overview of the wide range of telecommunication-based suicide prevention approaches. Interventions using the Internet, telephone, and videoconferencing are discussed, including crisis intervention, referral, and support, suicide risk assessment, psychotherapy for individuals at risk, and online-based suicide prevention training and education. Research regarding effectiveness of telecommunication-based suicide prevention in various demographic and clinical populations is reviewed, as well as concerns regarding this type of intervention. Future areas of research and development in the use of telecommunication media in prevention of suicide are discussed.


2021 ◽  
pp. injuryprev-2021-044322
Author(s):  
Avital Rachelle Wulz ◽  
Royal Law ◽  
Jing Wang ◽  
Amy Funk Wolkin

ObjectiveThe purpose of this research is to identify how data science is applied in suicide prevention literature, describe the current landscape of this literature and highlight areas where data science may be useful for future injury prevention research.DesignWe conducted a literature review of injury prevention and data science in April 2020 and January 2021 in three databases.MethodsFor the included 99 articles, we extracted the following: (1) author(s) and year; (2) title; (3) study approach (4) reason for applying data science method; (5) data science method type; (6) study description; (7) data source and (8) focus on a disproportionately affected population.ResultsResults showed the literature on data science and suicide more than doubled from 2019 to 2020, with articles with individual-level approaches more prevalent than population-level approaches. Most population-level articles applied data science methods to describe (n=10) outcomes, while most individual-level articles identified risk factors (n=27). Machine learning was the most common data science method applied in the studies (n=48). A wide array of data sources was used for suicide research, with most articles (n=45) using social media and web-based behaviour data. Eleven studies demonstrated the value of applying data science to suicide prevention literature for disproportionately affected groups.ConclusionData science techniques proved to be effective tools in describing suicidal thoughts or behaviour, identifying individual risk factors and predicting outcomes. Future research should focus on identifying how data science can be applied in other injury-related topics.


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