Military Suicide Research Consortium common data elements: Bifactor analysis and longitudinal predictive ability of suicidal ideation and suicide attempts within a clinical sample.

2020 ◽  
Vol 32 (7) ◽  
pp. 609-622
Author(s):  
Jennifer M. Buchman-Schmitt ◽  
Ian H. Stanley ◽  
Austin J. Gallyer ◽  
Carol Chu ◽  
Peter M. Gutierrez ◽  
...  
Keyword(s):  
Suicidal Ideation ◽  
Suicide Attempts ◽  
Clinical Sample ◽  
Predictive Ability ◽  
Common Data Elements ◽  
Research Consortium ◽  
Data Elements ◽  
Military Suicide

scholarly journals The Military Suicide Research Consortium Common Data Elements: An Examination of Measurement Invariance Across Current Service Members and Veterans

Assessment ◽  
2018 ◽  
Vol 26 (6) ◽  
pp. 963-975 ◽  
Author(s):  
Ian H. Stanley ◽  
Jennifer M. Buchman-Schmitt ◽  
Carol Chu ◽  
Megan L. Rogers ◽  
Anna R. Gai ◽  
...  
Keyword(s):  
Measurement Invariance ◽  
Model Fit ◽  
Service Members ◽  
Common Data Elements ◽  
Adequate Model ◽  
Increased Risk ◽  
Research Consortium ◽  
Data Elements ◽  
Military Suicide ◽  
The Military

Suicide rates within the U.S. military are elevated, necessitating greater efforts to identify those at increased risk. This study utilized a multigroup confirmatory factor analysis to examine measurement invariance of the Military Suicide Research Consortium Common Data Elements (CDEs) across current service members ( n = 2,015), younger veterans (<35 years; n = 377), and older veterans (≥35 years; n = 1,001). Strong factorial invariance was supported with adequate model fit observed for current service members, younger veterans, and older veterans. The structures of all models were generally comparable with few exceptions. The Military Suicide Research Consortium CDEs demonstrate at least adequate model fit for current military service members and veterans, regardless of age. Thus, the CDEs can be validly used across military and veteran populations. Given similar latent structures, research findings in one group may inform clinical and policy decision making for the other.

scholarly journals Initial validation of brief measures of suicide risk factors: Common data elements used by the Military Suicide Research Consortium.

2018 ◽  
Vol 30 (6) ◽  
pp. 767-778 ◽  
Author(s):  
Fallon B. Ringer ◽  
Kelly A. Soberay ◽  
Megan L. Rogers ◽  
Christopher R. Hagan ◽  
Carol Chu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Suicide Risk ◽  
Common Data Elements ◽  
Initial Validation ◽  
Suicide Risk Factors ◽  
Research Consortium ◽  
Data Elements ◽  
Military Suicide ◽  
The Military

The Nature and Structure of the Military Suicide Research Consortium’s Common Data Elements

2020 ◽  
pp. 1-10
Author(s):  
Anna R. Gai ◽  
Fallon Ringer ◽  
Katherine Schafer ◽  
Sean Dougherty ◽  
Matthew Schneider ◽  
...  
Keyword(s):  
Common Data Elements ◽  
Data Elements ◽  
Military Suicide ◽  
The Military

scholarly journals Suicide in the Military: Understanding Rates and Risk Factors Across the United States’ Armed Forces

2019 ◽  
Vol 184 (Supplement_1) ◽  
pp. 432-437 ◽  
Author(s):  
Larry D Pruitt ◽  
Derek J Smolenski ◽  
Nigel E Bush ◽  
Jennifer Tucker ◽  
Fuad Issa ◽  
...  
Keyword(s):  
United States ◽  
Suicide Attempts ◽  
Adult Population ◽  
Armed Forces ◽  
The United States ◽  
United States Department ◽  
United States Armed Forces ◽  
Data Elements ◽  
Military Suicide ◽  
The Military

Abstract This paper presents data from the United States Department of Defense Suicide Event Report System for years 2012–2015 to detail descriptive, longitudinal rate data and risk factor profiles associated with military suicide. The annual findings were aggregated from all U.S. military suicide deaths and suicide attempts. Data elements included the most common method of suicide (firearms), most common behavioral health diagnoses (substance abuse/dependence), common life stressors (failed intimate–partner relationships), and an individual’s history of operational deployment. Age- and sex-adjusted rates for the Services were compared with rates for the U.S. adult population. Results showed that the current reporting period (2015) is similar to patterns that have been observed over the preceding years and to patterns reported in the overall U.S. adult population. Suicide rates remain elevated but stable for both the Active and Reserve Components of the Military Services compared to historical levels observed prior to 2003. Finally, we discuss common errors and misinterpretations that can occur when analyzing surveillance data.

Machine Learning to Classify Suicidal Thoughts and Behaviors: Implementation Within the Common Data Elements Used by the Military Suicide Research Consortium

2021 ◽  
pp. 216770262096106
Author(s):  
Andrew K. Littlefield ◽  
Jeffrey T. Cooke ◽  
Courtney L. Bagge ◽  
Catherine R. Glenn ◽  
Evan M. Kleiman ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Approaches ◽  
Classification Models ◽  
Linear Modeling ◽  
Common Data Elements ◽  
And Behaviors ◽  
Data Elements ◽  
Military Suicide ◽  
The Military ◽  
Suicidal Thoughts And Behaviors

Suicide rates among military-connected populations have increased over the past 15 years. Meta-analytic studies indicate prediction of suicide outcomes is lacking. Machine-learning approaches have been promoted to enhance classification models for suicide-related outcomes. In the present study, we compared the performance of three primary machine-learning approaches (i.e., elastic net, random forests, stacked ensembles) and a traditional statistical approach, generalized linear modeling (i.e., logistic regression), to classify suicide thoughts and behaviors using data from the Military Suicide Research Consortium’s Common Data Elements (CDE; n = 5,977–6,058 across outcomes). Models were informed by (a) selected items from the CDE or (b) factor scores based on exploratory and confirmatory factor analyses on the selected CDE items. Results indicated similar classification performance across models and sets of features. In this study, we suggest the need for robust evidence before adopting more complex classification models and identify measures that are particularly relevant in classifying suicide-related outcomes.

Adolescents’ self-mutilation - Relationship with dependent behaviour

2003 ◽  
Vol 62 (4) ◽  
pp. 241-249 ◽  
Author(s):  
M. Bolognini ◽  
B. Plancherel ◽  
J. Laget ◽  
P. Stéphan ◽  
O. Halfon
Keyword(s):  
Suicide Attempts ◽  
Clinical Sample ◽  
Control Sample ◽  
Clinical Population ◽  
Control Group ◽  
Clinical Group ◽  
Self Mutilation ◽  
Self Harm ◽  
Partial Overlap ◽  
The Relationship

The aim of this study, which was carried out in the French-speacking part of Switzerland, was to examine the relationship between suicide attempts and self-mutilation by adolescents and young adults. The population, aged 14-25 years (N = 308), included a clinical sample of dependent subjects (drug abuse and eating disorders) compared to a control sample. On the basis of the Mini Neuropsychiatric Interview ( Sheehan et al., 1998 ), DSM-IV criteria were used for the inclusion of the clinical population. The results concerning the occurrence of suicide attempts as well as on self-mutilation confirm most of the hypotheses postulated: suicidal attempts and self-mutilation were more common in the clinical group compared to the control group, and there was a correlation between suicide attempts and self-mutilation. However, there was only a partial overlap, attesting that suicide and self-harm might correspond to two different types of behaviour.

Suicide Prevention Through Online Gatekeeping Using Search Advertising Techniques

Crisis ◽  
2015 ◽  
Vol 36 (4) ◽  
pp. 267-273 ◽  
Author(s):  
Hajime Sueki ◽  
Jiro Ito
Keyword(s):  
Suicidal Ideation ◽  
Suicide Prevention ◽  
Help Seeking ◽  
Service Use ◽  
Web Search ◽  
Suicide Attempts ◽  
Consultation Service ◽  
Search Advertising ◽  
Internet Users ◽  
History Of

Abstract. Background: Nurturing gatekeepers is an effective suicide prevention strategy. Internet-based methods to screen those at high risk of suicide have been developed in recent years but have not been used for online gatekeeping. Aims: A preliminary study was conducted to examine the feasibility and effects of online gatekeeping. Method: Advertisements to promote e-mail psychological consultation service use among Internet users were placed on web pages identified by searches using suicide-related keywords. We replied to all emails received between July and December 2013 and analyzed their contents. Results: A total of 139 consultation service users were analyzed. The mean age was 23.8 years (SD = 9.7), and female users accounted for 80% of the sample. Suicidal ideation was present in 74.1%, and 12.2% had a history of suicide attempts. After consultation, positive changes in mood were observed in 10.8%, 16.5% showed intentions to seek help from new supporters, and 10.1% of all 139 users actually took help-seeking actions. Conclusion: Online gatekeeping to prevent suicide by placing advertisements on web search pages to promote consultation service use among Internet users with suicidal ideation may be feasible.

Prevalence of Suicidal Ideation in Sri Lanka

Crisis ◽  
2010 ◽  
Vol 31 (1) ◽  
pp. 30-35 ◽  
Author(s):  
Sudath Samaraweera ◽  
Athula Sumathipala ◽  
Sisira Siribaddana ◽  
S. Sivayogan ◽  
Dinesh Bhugra
Keyword(s):  
Suicidal Ideation ◽  
Sri Lanka ◽  
General Population ◽  
Suicide Attempts ◽  
National Average ◽  
The West ◽  
Suicide Methods ◽  
Suicide Rates ◽  
Completed Suicide ◽  
The World

Background: Suicidal ideation can often lead to suicide attempts and completed suicide. Studies have shown that Sri Lanka has one of the highest rates of suicide in the world but so far no studies have looked at prevalence of suicidal ideation in a general population in Sri Lanka. Aims: We wanted to determine the prevalence of suicidal ideation by randomly selecting six Divisional Secretariats (Dss) out of 17 in one district. This district is known to have higher than national average rates of suicide. Methods: 808 participants were interviewed using Sinhala versions of GHQ-30 and Beck’s Scale for Suicidal Ideation. Of these, 387 (48%) were males, and 421 (52%) were female. Results: On Beck’s Scale for Suicidal Ideation, 29 individuals (4%) had active suicidal ideation and 23 (3%) had passive suicidal ideation. The active suicidal ideators were young, physically ill and had higher levels of helplessness and hopelessness. Conclusions: The prevalence of suicidal ideation in Sri Lanka is lower than reported from the West and yet suicide rates are higher. Further work must explore cultural and religious factors.

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