Suicide Risk and Protective Factors of Females in the U.S. Military: A Review

2011 ◽  
Author(s):  
Jessica T. Miles ◽  
Niall T. Kavanagh ◽  
Mark M. Held ◽  
Tara Emrani ◽  
Bruce Bongar
Keyword(s):  
Protective Factors ◽  
Suicide Risk ◽  
Risk And Protective Factors ◽  
The U.S

Suicide

2018 ◽  
Author(s):  
Gianni Pirelli
Keyword(s):  
Law Enforcement ◽  
Best Practices ◽  
Protective Factors ◽  
Military Personnel ◽  
Suicide Risk ◽  
Risk And Protective Factors ◽  
Suicide Risk Assessment ◽  
Case Examples ◽  
Theoretical Perspectives ◽  
Firearm Safety

In this chapter, the authors cover suicide, both generally and more specifically related to firearms. First, they review suicide-related terminology and definitions. Understanding suicide is critically important, especially when considering the professions that interact with potentially suicidal persons with access to firearms, including civilians as well as law enforcement and military personnel. Second, grounded in the best available data concerning and research associated with suicide, the authors provide an overview of various theoretical perspectives as to why people die by suicide and present key risk and protective factors in this regard. In this context, they review firearm-related suicide statistics, risk and protective factors, and relevant laws and critique the limitations of available data and policies. They also outline considerations related to suicide risk assessment, management, and prevention. Finally, they provide various case examples of firearm-related suicides to highlight the need to develop best practices concerning suicide risk and firearm safety.

scholarly journals Suicide Risk and Protective Factors in Online Support Forum Posts: Annotation Scheme Development and Validation Study (Preprint)

2020 ◽  
Author(s):  
Stevie Chancellor ◽  
Steven A Sumner ◽  
Corinne David-Ferdon ◽  
Tahirah Ahmad ◽  
Munmun De Choudhury
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Social Media ◽  
Protective Factors ◽  
Suicide Risk ◽  
Risk And Protective Factors ◽  
Prior Work ◽  
Annotation Scheme ◽  
Social Media Data ◽  
Media Data

BACKGROUND Online communities provide support for individuals looking for help with suicidal ideation and crisis. As community data are increasingly used to devise machine learning models to infer who might be at risk, there have been limited efforts to identify both risk and protective factors in web-based posts. These annotations can enrich and augment computational assessment approaches to identify appropriate intervention points, which are useful to public health professionals and suicide prevention researchers. OBJECTIVE This qualitative study aims to develop a valid and reliable annotation scheme for evaluating risk and protective factors for suicidal ideation in posts in suicide crisis forums. METHODS We designed a valid, reliable, and clinically grounded process for identifying risk and protective markers in social media data. This scheme draws on prior work on construct validity and the social sciences of measurement. We then applied the scheme to annotate 200 posts from r/SuicideWatch—a Reddit community focused on suicide crisis. RESULTS We documented our results on producing an annotation scheme that is consistent with leading public health information coding schemes for suicide and advances attention to protective factors. Our study showed high internal validity, and we have presented results that indicate that our approach is consistent with findings from prior work. CONCLUSIONS Our work formalizes a framework that incorporates construct validity into the development of annotation schemes for suicide risk on social media. This study furthers the understanding of risk and protective factors expressed in social media data. This may help public health programming to prevent suicide and computational social science research and investigations that rely on the quality of labels for downstream machine learning tasks.

scholarly journals Suicide Risk and Protective Factors in Online Support Forum Posts: Annotation Scheme Development and Validation Study

10.2196/24471 ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. e24471
Author(s):  
Stevie Chancellor ◽  
Steven A Sumner ◽  
Corinne David-Ferdon ◽  
Tahirah Ahmad ◽  
Munmun De Choudhury
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Social Media ◽  
Protective Factors ◽  
Suicide Risk ◽  
Risk And Protective Factors ◽  
Prior Work ◽  
Annotation Scheme ◽  
Social Media Data ◽  
Media Data

Background Online communities provide support for individuals looking for help with suicidal ideation and crisis. As community data are increasingly used to devise machine learning models to infer who might be at risk, there have been limited efforts to identify both risk and protective factors in web-based posts. These annotations can enrich and augment computational assessment approaches to identify appropriate intervention points, which are useful to public health professionals and suicide prevention researchers. Objective This qualitative study aims to develop a valid and reliable annotation scheme for evaluating risk and protective factors for suicidal ideation in posts in suicide crisis forums. Methods We designed a valid, reliable, and clinically grounded process for identifying risk and protective markers in social media data. This scheme draws on prior work on construct validity and the social sciences of measurement. We then applied the scheme to annotate 200 posts from r/SuicideWatch—a Reddit community focused on suicide crisis. Results We documented our results on producing an annotation scheme that is consistent with leading public health information coding schemes for suicide and advances attention to protective factors. Our study showed high internal validity, and we have presented results that indicate that our approach is consistent with findings from prior work. Conclusions Our work formalizes a framework that incorporates construct validity into the development of annotation schemes for suicide risk on social media. This study furthers the understanding of risk and protective factors expressed in social media data. This may help public health programming to prevent suicide and computational social science research and investigations that rely on the quality of labels for downstream machine learning tasks.

scholarly journals Self-Harm and Suicide Attempts among High-Risk, Urban Youth in the U.S.: Shared and Unique Risk and Protective Factors

2012 ◽  
Vol 9 (1) ◽  
pp. 178-191 ◽  
Author(s):  
Monica H. Swahn ◽  
Bina Ali ◽  
Robert M. Bossarte ◽  
Manfred Van Dulmen ◽  
Alex Crosby ◽  
...  
Keyword(s):  
High Risk ◽  
Protective Factors ◽  
Urban Youth ◽  
Suicide Attempts ◽  
Risk And Protective Factors ◽  
Self Harm ◽  
The U.S

School Risk and Protective Factors of Suicide: A Cultural Model of Suicide Risk and Protective Factors in Schools

2021 ◽  
pp. 1-24
Author(s):  
Marisa E. Marraccini ◽  
Dana Griffin ◽  
J. Conor O’Neill ◽  
Robert R. Martinez ◽  
Andrew J. Chin ◽  
...  
Keyword(s):  
Protective Factors ◽  
Suicide Risk ◽  
Risk And Protective Factors ◽  
Cultural Model

Clinical and Psychosocial Profiles of Asian Immigrants Who Repeatedly Attempt Suicide

Crisis ◽  
2015 ◽  
Vol 36 (5) ◽  
pp. 353-362 ◽  
Author(s):  
Irene W. Chung ◽  
Eric D. Caine ◽  
Charles T. Barron ◽  
Mary A. Badaracco
Keyword(s):  
Protective Factors ◽  
Suicide Risk ◽  
Protective Factor ◽  
Suicide Attempts ◽  
Well Being ◽  
Risk And Protective Factors ◽  
Public Hospitals ◽  
Asian Immigrants ◽  
Assessment And Treatment ◽  
Psychosocial Profiles

Abstract. Background: Persons who repeatedly attempt suicide comprise a highly distressed population that warrants the understanding of risk and protective factors in assessment and treatment. There is a dearth of literature on Asian immigrants’ suicidal behavior. Aims: The study aimed to capture the clinical and psychosocial profiles of Asian immigrants who made repeated suicide attempts. Method: We utilized retrospective chart reviews (n = 44) and in-person interviews (n = 12) in two urban public hospitals. Results: The study samples shared major suicide risk factors identified in studies of other populations. Participants of the interview sample suffered from a pervasive sense of hopelessness stemming from social isolation, self-stigma, feelings of failure in their life roles, and perceptions of rejection by their families. Conversely, psychological well-being – feeling cared for and able to reciprocate care for others – appeared to be a protective factor for participants who improved in their functioning and recovery. Conclusion: The study lays the groundwork for further research on suicide risk and protective factors.

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