Suicidal Thoughts and Behaviors Among Adolescent Psychiatric Inpatients

Childhood Maltreatment, Executive Function, and Suicide Attempts in Adolescents

Evidence suggests that child maltreatment is a risk factor for adolescent suicidal behavior. However, the differential influence of distinct forms of child maltreatment on adolescent suicide attempts is understudied and the factors that might exacerbate or ameliorate these associations warrant attention. We examined the associations between two distinct forms of child maltreatment (threat and deprivation) and suicide attempt history, and investigated whether executive function domains moderated these associations. Participants were 119 adolescents (M = 15.24, SD = 1.46, 72.3% female) recruited from an inpatient psychiatric hospital during hospitalization for suicidal thoughts and behaviors. Results indicated that the executive function domains of initiation, shifting, and planning/organization moderated the associations between threat and suicide attempt history. Associations between threat and suicide attempt history were significant only when initiation and shifting T-scores were lower (OR = 1.22, p = .03 and OR = 1.32, p = .01, respectively). The association between threat and suicide attempt history trended toward significance when planning/organization T-scores were lower (OR = 1.15, p = .10). None of the executive function domains moderated the link between deprivation and suicide attempt history. Findings highlight the need for research investigating whether initiation, shifting, and planning/organization might be amendable to intervention in the context of threat-related child maltreatment.

Neuroimaging for precision medicine in psychiatry

Although the lifetime burden due to mental disorders is increasing, we lack tools for more precise diagnosing and treating prevalent and disabling disorders such as major depressive disorder. We lack strategies for selecting among available treatments or expediting access to new treatment options. This critical review concentrates on functional neuroimaging as a modality of measurement for precision psychiatry, focusing on major depressive and anxiety disorders. We begin by outlining evidence for the use of functional neuroimaging to stratify the heterogeneity of these disorders, based on underlying circuit dysfunction. We then review the current landscape of how functional neuroimaging-derived circuit predictors can predict treatment outcomes and clinical trajectories in depression and anxiety. Future directions for advancing clinically appliable neuroimaging measures are considered. We conclude by considering the opportunities and challenges of translating neuroimaging measures into practice. As an illustration, we highlight one approach for quantifying brain circuit function at an individual level, which could serve as a model for clinical translation.

Which Psychosocial Strengths Could Combat the Adolescent Suicide Spectrum? Dissecting the Covitality Model

Objective: Covitality is a meta-construct of positive intra/interpersonal self-schemas that organize and process life experiences. Its synergy favors psychosocial adjustment and prevents mental health problems during adolescence. At these ages, suicide is one of the leading causes of death worldwide. The purpose of this study was to determine which psychosocial strengths of the covitality model could combat adolescent suicide spectrum. Method: Participants were 5,528 Spanish adolescents aged 12-18 years, 50.74% females. The assessment protocol was completed in schools, under the supervision of the research staff. Statistical analyses were conducted using hurdle models, i.e., modeling zero-inflated count data. This process provided two sets of outcomes: the association - in probabilistic terms - between psychosocial strengths and the absence of suicide indicators (i.e., non-occurrence) and the association of these assets - via regression coefficients - with increased experimentation (i.e., duration/quantity). Results: All psychosocial strengths of the covitality model were related to the non-ocurrence of suicidal thoughts and behaviors, but not all to a shorter duration/quantity of their phenotypic manifestations. Covitality obtained greater association values on suicidal tendencies than its components analyzed independently. Belief in self and engaged living were the second-order factors with the higher estimating capacity. Specifically, emotional self-awareness, enthusiasm, gratitude, family support, and behavioral self-control were key first-order assets. Conclusions: These findings suggest that training adolescents in covitality assets could be an effective strategy for universal prevention against premature suicide. Moreover, this study provide evidence on which psychosocial strengths could counteract each phenotypic manifestation of suicide in order to customize selective and indicated preventive actions.

Predicting the trajectory of non-suicidal self-injury among adolescents

BACKGROUND

Non-suicidal self-injury (NSSI) is common among adolescents receiving inpatient psychiatric treatment and the months post-discharge is a high-risk period for self-injurious behavior. Thus, identifying predictors that shape the course of post-discharge NSSI may provide insights into ways to improve clinical outcomes. Accordingly, we used machine learning to identify the strongest predictors of NSSI trajectories drawn from a comprehensive clinical assessment.

METHODS

The study included adolescents (N = 612; females n = 435; 71.1%) aged 13-19-years-old (M = 15.6, SD = 1.4) undergoing inpatient treatment. Youth were administered clinical interviews and symptom questionnaires at intake (baseline) and before termination. NSSI frequency was assessed at 1-, 3-, and 6-month follow-ups. Latent class growth analyses were used to group adolescents based on their pattern of NSSI across follow-ups.

RESULTS

Three classes were identified: Low Stable (n = 83), Moderate Fluctuating (n = 260), and High Persistent (n = 269). Important predictors of the High Persistent class in our regularized regression models (LASSO) included baseline psychiatric symptoms and comorbidity, past-week suicidal ideation (SI) severity, lifetime average and worst-point SI intensity, and NSSI in the past 30 days (bs = 0.75-2.33). Only worst-point lifetime suicide ideation intensity was identified as a predictor of the Low Stable class (b = -8.82); no predictors of the Moderate Fluctuating class emerged.

CONCLUSIONS

This study found a set of intake clinical variables that indicate which adolescents may experience persistent NSSI post-discharge. Accordingly, this may help identify youth that may benefit from additional monitoring and support post-hospitalization.

Suicidal Risk During Adolescence: Could Covitality Be Part of the Solution?

OBJECTIVE

The covitality model suggests that the co-disposition and synergy of core psychosocial assets (i.e., covitality) buffer the negative impact of stressful events and prevent the emergence of mental health problems during adolescence. At this stage of development, suicide already constitutes the leading cause of unnatural death in Europe. The present study aimed to examine how covitality relates to bidimensional mental health status (i.e., psychopathology and subjective well-being) and suicidal risk.

METHOD

Participants were 5,296 Spanish students ages 12 to 18 years (Mage ± SD = 14.19 ± 1.53), 50.2% male.

RESULTS

In a structural equation mediational model, covitality acted as a powerful shield of psychosocial strengths against suicidality, via an indirect effect entirely mediated by its impact on bidimensional mental health. The total variance in suicidal risk explained by the set of independent variables was 61.8%, while the total variance of psychopathology and subjective well-being explained by covitality was 54.1% and 75.6%, respectively.

CONCLUSIONS

These preliminary findings highlight the need for further study of covitality as a defense strategy against adolescent suicide. HIGHLIGHTSCovitality promote subjective well-being and prevent psychopathological symptoms.These self-perceived psychosocial strengths do not have direct effect on suicidality.Covitality is related to lower suicidal risk through indirect mechanisms: via bidimensional approach to mental health status (BMH).

Stress exposure in at-risk, depressed, and suicidal adolescents

BACKGROUND

Stress exposure contributes to the onset, maintenance, and recurrence of major depressive disorder (MDD) in adolescents. However, the precise stress facets (e.g. chronicity, domain) most strongly linked to outcomes at different stages along the depression severity continuum remain unclear. Across two studies, chronic and episodic stressors were comprehensively assessed among: (a) healthy youth with (High-Risk [HR]) and without (Low-Risk [LR]) a maternal history of MDD and (b) adolescents with current MDD and suicide ideation and healthy controls (HC).

METHOD

Study 1 included LR (n = 65) and HR (n = 22) 12- to 14-year-olds (49 females; 56.32%) with no lifetime history of mental disorders. Study 2 enrolled 87 mid-to-late adolescents (64 females; 73.56%), including 57 MDD youth from a short-term intensive treatment service and 30 HCs from the community. All depressed youth reported recent suicide ideation; some had no lifetime history suicide attempts (SI; n = 31) and others reported at least one past year attempt (SA; n = 26). The Life Events and Difficulties Schedule was used to capture stressor severity in both studies.

RESULTS

We used multiple linear regression models that adjusted for demographic and clinical covariates. Being in the HR versus LR group was associated with more severe chronic (β = .22, CI95 = 0.01-0.42, p = .041), independent (β = .34, CI95 = 0.12-0.56, p = .003), and interpersonal (β = .23, CI95 = 0.004-0.45, p = .047) stress severity. By contrast, the MDD group reported significantly more severe chronic (β = .62, CI95 = 0.45-0.79, p < .001) and dependent (β = .41, CI95 = 0.21-0.61, p < .001) stress than the HC group, but not independent (p = .083) stress. Stress severity did not differ between recent attempters versus youth who reported suicide ideation alone (SA vs. SI contrast). However, the SA group reported a higher rate of targeted rejection events (RR = 3.53, CI95 = 1.17-10.70, p = .026).

CONCLUSIONS

Our findings clarify the stressor features that may most strongly contribute to adolescent depression and its clinical correlates at two important points along depression's clinical course.

Why do adolescents attempt suicide? Insights from leading ideation-to-action suicide theories: a systematic review

Suicide is a leading cause of death among adolescents, and recent suicide theories have sought to clarify the factors that facilitate the transition from suicide ideation to action. Specifically, the Interpersonal Theory of Suicide (IPTS), Integrated Motivational-Volitional Model (IMV), and Three Step Theory (3ST) have highlighted risk factors central to the formation of suicidal ideation and suicidal behaviors, which is necessary for suicide death. However, these models were initially developed and tested among adults, and given core socioemotional and neurodevelopmental differences in adolescents, the applicability of these models remains unclear. Directly addressing this gap in knowledge, this systematic review aimed to (1) describe the evidence of leading ideation-to-action theories (i.e., IPTS, IMV, 3ST) as they relate to suicide risk among adolescents, (2) integrate ideation-to-action theories within prevailing biological frameworks of adolescent suicide, and (3) provide recommendations for future adolescent suicide research. Overall, few studies provided a complete test of models in adolescent samples, and empirical research testing components of these theories provided mixed support. Future research would benefit from integrating neurodevelopmental and developmentally sensitive psychosocial frameworks to increase the applicability of ideation-to-action theories to adolescents. Further, utilizing real-time monitoring approaches may serve to further clarify the temporal association among risk factors and suicide.

Fluidity in capability: Longitudinal assessments of suicide capability using ecological momentary assessments

INTRODUCTION

Suicide capability is posited to facilitate the movement from ideation-to-action. Emerging evidence suggests capability comprises both trait- and state-like facets. This study examined fluctuations in and associations of acquired, dispositional, practical, and perceived capabilities, and suicidal mental imagery, and suicidal ideation.

METHOD

Seventy-five adults (48 females, Mage = 36.53 years) with lived experience of suicidal ideation and/or attempt responded to four prompts per day for 2 weeks that assessed suicide capability and suicidal ideation. Mean-squared successive differences and probability of acute change indices and multilevel models were used for analyses.

RESULTS

All facets of suicide capability fluctuated. Acquired and dispositional capabilities were trait-like, with practical and perceived capabilities being state-like. Suicidal mental imagery was the only facet of suicide capability that distinguished participants with a suicide attempt in the past 12 months from participants with a suicide attempt more than 1 year ago and suicide ideators. Suicidal mental imagery was associated with concurrent suicidal ideation and predictive of next assessment suicidal ideation.

CONCLUSION

Suicidal mental imagery may be uniquely associated with suicide capability. This study suggests there are trait- and state-like facets of capability that can combine to potentially ready an individual to engage in suicidal behaviors.

Social contagion, violence, and suicide among adolescents

PURPOSE OF REVIEW

Social Contagion is defined as the spread of behaviors, attitudes, and affect through crowds and other types of social aggregates from one member to another. Adolescents are prone to social contagion because they may be especially susceptible to peer influence and social media.In this article, we provide a brief review of the most recent findings on social contagion, violence, and suicide among adolescents.

RECENT FINDINGS

Recent evidence support social contagion in gun violence, bullying, cyberbullying, violent offending, and suicide, but is inconclusive on the role of violent video game exposure on aggressive behavior.

SUMMARY

The mechanisms underlying the contagion effect of violence and suicide are currently unclear. It has been argued that social learning, identification with significant others, and the normalization of specific norms play a role. All these mechanisms require understanding social contagion as a complex interaction between individual, relational and social factors. This is key if the social contagion perspective is to be used not only to investigate negative outcomes, but also as a framework for promoting prosocial attitudes and behaviors. Additionally, more research is needed on psychosocial interventions and public policies to minimize the potential spillover effect of violence and suicide.

The Brief Adolescent Depression Screen: A Brief Screening Tool for Depression and Suicidal Behavior in Inpatient Adolescents

Background

In clinical settings, there is significant need for brief, easily-administered assessment tools for adolescent depression that can be used by mental health clinicians from a variety of training backgrounds. Existing depression screening tools do not assess for duration and consistency of symptoms, two key indicators of pathological depression.

Objective

The Brief Adolescent Depression Screen (BADS) was developed to screen for major and persistent depressive disorders in adolescents in order to meet the assessment needs in an inpatient setting, and the validity of this tool was tested.

Method

The current study used a sample of 396 inpatient adolescents to assess the screening utility of the BADS for detecting whether the adolescent meets criteria for a depressive diagnosis according to a well-validated semi-structured interview, as well as detecting a positive history of suicidal behavior. Further, the screening utility of this measure was compared to the utility of an established depression rating scale.

Results

Analyses first determined the duration of depressive symptoms on the BADS that optimally screened for the presence of Major Depressive Disorder and Persistent Depressive Disorder. Findings indicated that, using these optimal screening cut-offs, the BADS showed a strong screening utility, resulting in a sensitivity and specificity for identifying full depressive diagnoses and a positive history of suicidal behavior with similar or greater accuracy than an established rating scale.

Conclusions

These findings provide initial evidence to suggest that the BADS may be a helpful screening tool for adolescent depressive disorders in inpatient settings.