Concerns of Older Veteran Callers to the Veterans Crisis Line

When the Veterans Crisis Line (VCL) was implemented, it was uncertain if veterans, and particularly older male veterans, would utilize the service. We examined VCL use by a growing group of veterans at increased risk for suicide: those aged 60 and older. Real‐time clinical data were gathered from a weekly random sampling of calls. Approximately 25% of calls were from veterans aged 60 or older; over 80% reported benefit from the call. Several significant differences in presenting concerns between older and younger callers were found. Targeted outreach to encourage older veterans to use the VCL is suggested.     

Predictors of Multiple Suicide Attempts among Suicidal Black Adolescents

Psychopathology, social support, and interpersonal orientation were studied in relation to suicide attempt status in acutely suicidal, psychiatrically hospitalized Black adolescents and a matched sample of White adolescents. In the total sample, multiple attempters were differentiated by lower perceived support. Within the Black youth subsample, social comparison and positive stimulation from others differentiated multiple attempters from single attempters/ideators. Only suicidal ideation predicted multiple attempts among White youth and only higher interpersonal orientation predicted multiple suicide attempts within Black adolescents.     

Impulsivity Mediates the Relationship between Future Orientation and Juvenile Deviancy

Both future orientation and impulsivity are intrinsic parts of an adolescent’s self-control, and empirical evidence clearly establishes them as crucial features on the origin of juvenile deviant behavior. However, we do not yet fully understand how these variables relate in explaining deviant conduct. In the present study, we tested a mediation model between these variables among 126 Portuguese adolescents. Findings support the mediation model in analysis, namely that impulsivity fully mediates the effect of future orientation on deviant behavior. In conclusion, our results suggest that lesser future orientated youth develop impulsive behavior which, in turn, explains their higher deviant conduct.     

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.     

Using Structured Telephone Follow‐up Assessments to Improve Suicide‐Related Adverse Event Detection

Adverse event (AE) detection and reporting practices were compared during the first phase of the Emergency Department Safety Assessment and Follow‐up Evaluation (ED‐SAFE), a suicide intervention study. Data were collected using a combination of chart reviews and structured telephone follow‐up assessments postenrollment. Beyond chart reviews, structured telephone follow‐up assessments identified 45% of the total AEs in our study. Notably, detection of suicide attempts significantly varied by approach with 53 (18%) detected by chart review, 173 (59%) by structured telephone follow‐up assessments, and 69 (23%) marked as duplicates. Findings provide support for utilizing multiple methods for more robust AE detection in suicide research.     

Perceived Racism and Suicide Ideation: Mediating Role of Depression but Moderating Role of Religiosity among African American Adults

Suicide is a public health problem for African Americans who are young and of working age. The purpose of this study was to examine mediated and moderated effects of perceived racism on suicide ideation in a community sample of 236 African American men and women. Measures of suicide ideation, depression symptoms, intrinsic/extrinsic religiosity, and perceived racism were administered. Perceived racial discrimination was directly and indirectly associated with suicide ideation. For participants who reported low levels of extrinsic religiosity, the mediated effect of perceived racism (via depression symptoms) was significant. These findings provide some insight into suicide vulnerability for specific subgroups of African Americans.     

Self‐Efficacy to Avoid Suicidal Action: Factor Structure and Convergent Validity among Adults in Substance Use Disorder Treatment

Individuals with substance use disorders (SUDs) are at high risk of suicidal behaviors, highlighting the need for an improved understanding of potentially influential factors. One such domain is self‐efficacy to manage suicidal thoughts and impulses. Psychometric data about the Self‐Efficacy to Avoid Suicidal Action (SEASA) Scale within a sample of adults seeking SUD treatment (N = 464) is provided. Exploratory factor analysis supported a single self‐efficacy construct. Lower SEASA scores, or lower self‐efficacy, were reported in those with more severe suicidal ideation and those with more suicide attempts, providing evidence for convergent validity. Implications of measuring self‐efficacy in the context of suicide risk assessment are discussed.