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
Author(s):  
Gianni Pirelli

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.


2020 ◽  
Author(s):  
Stevie Chancellor ◽  
Steven A Sumner ◽  
Corinne David-Ferdon ◽  
Tahirah Ahmad ◽  
Munmun De Choudhury

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.


10.2196/24471 ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. e24471
Author(s):  
Stevie Chancellor ◽  
Steven A Sumner ◽  
Corinne David-Ferdon ◽  
Tahirah Ahmad ◽  
Munmun De Choudhury

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.


2012 ◽  
Vol 9 (1) ◽  
pp. 178-191 ◽  
Author(s):  
Monica H. Swahn ◽  
Bina Ali ◽  
Robert M. Bossarte ◽  
Manfred Van Dulmen ◽  
Alex Crosby ◽  
...  

2021 ◽  
pp. 1-24
Author(s):  
Marisa E. Marraccini ◽  
Dana Griffin ◽  
J. Conor O’Neill ◽  
Robert R. Martinez ◽  
Andrew J. Chin ◽  
...  

Crisis ◽  
2015 ◽  
Vol 36 (5) ◽  
pp. 353-362 ◽  
Author(s):  
Irene W. Chung ◽  
Eric D. Caine ◽  
Charles T. Barron ◽  
Mary A. Badaracco

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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