Development of a Scale to Assess Knowledge about Suicide Postvention using Item Response Theory

Knowledge about suicide postvention (KSPV) is an important distal outcome in the evaluation of suicide prevention programs that focus on the bereaved. However, most scales are specifically tailored to the evaluation study in question and psychometric properties are often unsatisfactory. Therefore, we developed the KSPV scale. Scale properties were investigated with Rasch trees, a newly developed method in the framework of item response theory. Additionally, we provide cues for convergent validity. In summary, the scale shows satisfactory properties for assessing KSPV and could be used to evaluate suicide postvention programs more effectively.     

Assessing Motivations for Suicide Attempts: Development and Psychometric Properties of the Inventory of Motivations for Suicide Attempts

This study describes the psychometric properties of the Inventory of Motivations for Suicide Attempts (IMSA). The IMSA was designed to comprehensively assess motivations for suicide emphasized by major theories of suicidality. The IMSA was administered to two samples of recent suicide attempters, undergraduates (n = 66) and outpatients (n = 53). The IMSA exhibited a reliable two‐factor structure in which one factor represented Intrapersonal motivations related to ending emotional pain, and the second represented Interpersonal motivations related to communication or help‐seeking. Convergent validity and divergent validity of IMSA scales were supported by expected patterns of correlations with another measure of suicide motivations. In addition, the IMSA scales displayed clinical utility, in which greater endorsement of intrapersonal motivations was associated with greater intent to die, whereas greater endorsement of interpersonal motivations was associated with less lethal intent and greater likelihood of rescue. Findings suggest the IMSA can be of use for both research and clinical purposes when a comprehensive assessment of suicide motivations is desired.     

A Systematic Review of Suicide Prevention Programs for Military or Veterans

Military personnel and veterans have important suicide risk factors. After a systematic review of the literature on suicide prevention, seven (five in the U.S.) studies of military personnel were identified containing interventions that may reduce the risk of suicide. The effectiveness of the individual components was not assessed, and problems in methodology or reporting of data were common. Overall, multifaceted interventions for active duty military personnel are supported by consistent evidence, although of very mixed quality, and in some cases during intervals of declines in suicide rates in the general population. There were insufficient studies of U.S. Veterans to reach conclusions.     

Factors Associated with Current Versus Lifetime Self‐Injury Among High School and College Students

We sought to identify factors associated with current versus lifetime nonsuicidal self‐injury (NSSI) and factors that show consonant and distinct relationships with current NSSI for adolescents and young adults. Data came from a population‐based survey of high school students (n = 9,985) and a national survey of college students (n = 7,801). Among both samples, factors associated with current NSSI included male gender, younger age, greater depressive symptoms, more hopelessness, and being the victim of a verbal or physical assault. For high school students, greater anxiety, and for college students, identifying as non‐White, negative perceptions of one's weight, a same‐sex sexual experience, and involvement in dating violence also distinguished the groups. Findings suggest that clinical and research assessments of lifetime NSSI might not extend to current behavior, and some differences exist in the factors associated with current behavior between adolescents and young adults. Clinical practice and prevention programming efforts should target certain intrapersonal and interpersonal factors associated with current NSSI among younger students during stressful transition periods in their lives, such as entering high school or college, when they might consider initiating or continuing this behavior.     

Comparative Analysis of Suicide,Accidental, and Undetermined Cause of Death Classification

Suicide determination is not standardized across medical examiners, and many suspected suicides are later classified as accidental or undetermined. The present study investigated patterns between these three groups using a medical examiner database and 633 structured interviews with next of kin. There were similarities across all three classification groups, including rates of mental illness and psychiatric symptoms. Those classified suicide were more likely to be male, to have died in a violent fashion, and have a stronger family history of suicide. Chronic pain was very common across all three groups, but significantly higher in the accidental and undetermined groups.     

A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial

Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences provide the opportunity to understand biological markers related to suicide, computer science provides opportunities to understand suicide thought markers. In this novel prospective, multimodal, multicenter, mixed demographic study, we used machine learning to measure and fuse two classes of suicidal thought markers: verbal and nonverbal. Machine learning algorithms were used with the subjects’ words and vocal characteristics to classify 379 subjects recruited from two academic medical centers and a rural community hospital into one of three groups: suicidal, mentally ill but not suicidal, or controls. By combining linguistic and acoustic characteristics, subjects could be classified into one of the three groups with up to 85% accuracy. The results provide insight into how advanced technology can be used for suicide assessment and prevention.