Collateral effects of Coping Power on caregiver symptoms of depression and long-term changes in child behavior.

A large body of research demonstrates positive impacts of the Coping Power Program as a preventive intervention for youth behavioral outcomes, but potential collateral effects for caregivers is less known. The current study examined whether the youth-focused Coping Power Program can have a secondary impact on caregiver self-reported symptoms of depression and in turn result in longer-term impacts on child disruptive behavior problems including aggression, conduct problems and hyperactivity. Data from 360 youth/caregiver pairs across 8 waves of data (grades 4 through 10) were analyzed. We used two methodological approaches to (a) assess indirect effects in the presence of potential bidirectionality using timepoint-to-timepoint dynamic effects under Autoregressive Latent Trajectory modeling and (b) estimate scale scores in the presence of measurement non-invariance. Results showed that individually delivered Coping Power (ICP) produced greater direct effects on conduct problems and indirect effects on general externalizing and hyperactivity (through reductions in caregiver self-reported symptoms of depression), compared to group Coping Power (GCP). In comparison to GCP, ICP produced similar direct effects on reductions in caregiver depression. Child-focused prevention interventions can have an indirect impact on caregiver depression, which later shows improvements in longer-term reductions for child disruptive problems.

Exploring whether mental health crisis text conversations that include discussion of firearms differ from those without firearms.

BACKGROUND: Firearm violence represents a public health crisis in the United States. Yet, there is limited knowledge about how firearms are discussed in the context of mental health emergencies representing a major gap in the current research literature. This study addresses this gap by examining whether the content of mental health crisis text conversations that mention firearms differ from those that do not mention firearms in a large, unique dataset from a national crisis text line. METHODS: We examined data from over 3.2 million conversations between texters to Crisis Text Line and volunteer crisis counselors between September 2018 and July 2022. We used a study developed text classification machine learning algorithm that builds on natural language processing to identify and label whether crisis conversations mentioned firearms. We compared the frequency of psychosocial factors between conversations that mention firearms with those that did not. RESULTS: Results from a generalized linear mixed-effects model demonstrated that. conversations mentioning firearms more frequently were associated with suicide, racism, physical, sexual, emotional, and unspecified abuse, grief, concerns about a third party, substance use, bullying, gender and sexual identity, relationships, depression, and loneliness. Further, conversations mentioning firearms were less likely to be related to self-harm and eating/body image. CONCLUSIONS: These results offer an initial glimpse of how firearms are mentioned in the context of acute mental health emergencies, which has been completely absent in prior literature. Our results are preliminary and help sharpen our understanding of contextual factors surrounding mental health emergencies where a firearm is mentioned.

Harmonizing Social, Emotional, and Behavioral Constructs in Prevention Science: Digging into the Weeds of Aligning Disparate Measures.

While integrative data analysis (IDA) presents great opportunity, it also necessitates a myriad of methodological decisions related to harmonizing disparate measures collected across multiple studies. There is a lack of step-by-step methodological guidance for harmonizing disparate measures of latent constructs differently conceptualized or operationalized across studies, such as social, emotional, and behavioral constructs often utilized in prevention science. The current paper addressed this gap by providing methodological guidance and a case illustration focused on harmonizing measures of disparately conceptualized and operationalized constructs. We do so by outlining a five-phased harmonization approach paired with an illustrative example of the approach as applied to harmonization of broadband latent emotional and behavioral health constructs assessed with different measures across studies. This approach builds on and expands upon procedures currently recommended in the IDA literature with parallels to best practices in test development procedures. The illustrative example of our phased approach is drawn from an IDA study of 11 randomized controlled trials of Coping Power (Lochman & Wells, 2004), an evidence-based preventive intervention. We demonstrate the harmonization of two constructs, internalizing and externalizing problems, as harmonized across the teacher-reported scales of the Achenbach System of Empirically Based Assessment (Achenbach, 1991a) and the Behavior Assessment System for Children (Reynolds & Kamphaus, 2004). Finally, we consider the potential strengths and limitations of this phased approach, underscoring areas for future methodological research and conclude with some recommendations.

Preliminary Research Priorities for Factors Influencing Individual Outcomes for Users of the US National Suicide Prevention Lifeline.

Importance: Since July 2022, calling or texting 988 in the US connects callers to the National Suicide Prevention Lifeline following a law passed by Congress to simplify access to the mental health crisis line in the US. Compared with other areas of suicide research, knowledge regarding how and to what extent crisis lines prevent suicide crises and suicide deaths remains in its infancy. The state of this research is briefly reviewed and critical directions for future research on factors that may influence effectiveness are suggested. Observations: The new 988 line stands to improve access to critical lifesaving measures in the moments of a suicidal crisis. However, urgent questions remain regarding how to improve effectiveness of crisis lines. Available evidence suggests that crisis lines are often effective at reducing immediate distress and reducing suicide risk, but substantial gaps remain in understanding how crisis lines work. Conclusions and Relevance: Future research is recommended with suicide prevention crisis lines, such as 988, to identify and test factors influencing effectiveness, including conversation, consumer, dyadic, and structural-level characteristics. Existing research, while minimal, suggests that prescription of 988 to prevent suicide death is clinically warranted, but much more work is needed to optimize care.

Design and methodology for an integrative data analysis of coping power: Direct and indirect effects on adolescent suicidality.

As suicide rates have risen in the last decade, there has been greater emphasis on targeting early risk conditions for suicidality among youth and adolescents as a form of suicide "inoculation". Two particular needs that have been raised in this nascent literature are a) the dearth of examination of early intervention effects on distal suicide risk that target externalizing behaviors and b) the need to harmonize multiple existing intervention datasets for greater precision in modeling intervention effects on low base rate outcomes such as suicidal behaviors. This project, entitled "Integrative Data Analysis of Coping Power (CP): Effects on Adolescent Suicidality", funded by the National Institute of Mental Health (NIMH), will harmonize and analyze data from 11 randomized controlled trials of CP (total individual-level N = 3183, total school-level N = 189). CP is an empirically-supported, child- and family-focused preventive intervention that focuses on reducing externalizing more broadly among youth who exhibit early aggression, which makes it ideally suited to targeting externalizing pathways to suicidality. The project utilizes three measurement and data analysis frameworks that have emerged across multiple independent disciplines: integrative data analysis (IDA), random treatment effects multilevel modeling (RTE-MLM), and propensity score weighting (PSW). If successful, the project will a) provide initial evidence that CP would have gender-specific indirect effects on suicidality through reductions in externalizing for boys and reductions in internalizing for girls and b) identify optimal conditions under which CP is delivered (e.g., groups, individuals, online) across participants on reductions in suicidality and other key intermediate endpoints.