Real-Time Monitoring of Suicide Risk among Adolescents: Potential Barriers, Possible Solutions, and Future Directions

Practitioner Review: Treatments for young people who self-harm - challenges and recommendations for research and clinical practice

BACKGROUND

Self-harm is very common in young people and is associated with suicide. Rates of both self-harm and suicide have increased in young people, particularly in females. There is a clear need to identify new approaches to prevent repeat self-harm.

METHOD

We significantly update and build on previous reviews with the aim of identifying issues in research relevant to clinical practice. We identify challenges in developing, implementing and evaluating treatments for self-harm in children and adolescents, suggest a way forward for research, and provide clear and practical guidance for clinicians on how to apply current research evidence in the real world.

RESULTS

Currently, there is limited evidence for effective interventions, other than some support for dialectical behaviour therapy for adolescents (DBT-A). To improve research and, by extension, clinical practice, future studies need to address psychosocial factors associated with youth self-harm and suicide, investigate the critical mechanism(s) of action, ensure trials are sufficiently powered and representative, and involve young people more actively in the design, implementation and evaluation of these approaches. Consideration should also be given to alternative research designs, such as pragmatic or adaptive clinical trials, as well as registry-based randomised controlled trials which leverage administrative data collected in routine clinical practice, to help meet these goals.

CONCLUSIONS

Recommendations for practice include undertaking comprehensive assessment and formulation, and offering DBT-A where indicated. There should be further development and evaluation (with input from young people) of Cognitive Behavioural-based Therapy adapted for young people. Greater attention to the role of the therapeutic relationship and family involvement (where possible) is also an important considerations, irrespective of the specific therapeutic modality. Finally, more consideration should be given to improving staff training to ensure all clinical staff feel equipped to treat young people who self-harm in a person-centred and compassionate manner.

Anhedonia Links Sleep Problems and Suicidal Thoughts: An Intensive Longitudinal Study in High-Risk Adolescents

Growing research indicates that sleep problems are a robust independent risk factor for suicidal thoughts and behaviors among youth. However, relatively little is known about how this risk is conferred. This study used an intensive longitudinal design to investigate anhedonia as a mechanism linking sleep problems and next-day suicidal thoughts in a clinically high-risk sample of adolescents. Adolescents (N = 48; Mage=14.96; 77.1% white, 64.6% female) completed an ecological momentary assessment (EMA) study design for 28 days following discharge from acute psychiatric care for suicide risk. Daily sleep diaries were used to assess prior night total sleep time and sleep onset latency. Ecological momentary assessment was used to assess anhedonia and suicidal thoughts up to six times per day. A series of multi-level structural equation models were used to examine facets of anhedonia as parallel mediators of the association between sleep problems and next-day suicidal thoughts. Significant direct effects were found between sleep problems and consummatory anhedonia, consummatory anhedonia and suicidal thoughts, and anticipatory anhedonia and suicidal thoughts. There were significant indirect (mediated) effects between sleep problems and next-day suicidal thoughts through consummatory anhedonia, but not anticipatory anhedonia. Findings provide initial evidence as to how sleep problems may confer risk for next-day suicidal thoughts- by increasing consummatory anhedonia. Future research is needed to replicate these findings in larger samples and investigate how modifying anhedonia may mitigate suicide risk in youth.

Feasibility and Acceptability of Ecological Momentary Assessment to Assess Suicide Risk among Young People with Mood Disorder in China

Suicidal thoughts and behaviors (STBs) are increasing among young people (aged 12-24 years) in China. Although Ecological Momentary Assessment (EMA) has been increasingly used to study STBs worldwide, no study has been conducted on young people with mood disorders (MD) in China. This mixed-method study aimed to evaluate the feasibility and acceptability of suicide risk monitoring in 75 young people with MD. Participants completed five to eight daily EMA surveys and wore smart bands for the EMA study. Semi-structured interviews were used to collect feedback. High adherence to EMA surveys (73.0 %) and smart bands (87.4 %) indicated feasibility. Participants reported an overall positive experience with the EMA study (helpful, friendly, and acceptable). Additionally, the reasons they were willing to comply with the EMA study were: (1) seeing the possibility of returning to "normal," and (2) experiencing the process of returning. However, a small proportion of participants had negative experiences (e.g., annoyance and missing prompts). The results of this mixed-methods study provide preliminary support for the feasibility and acceptability of using EMA (combined smartphones and wearable sensor devices) to assess suicidality among young people with MD in the Chinese cultural and social context.

Leveraging Digital Media to Promote Youth Mental Health: Flipping the Script on Social Media-Related Risk

Purpose of Review

Despite growing public concern about the negative impact of digital media for mental health problems, there are key ways in which digital media can be leveraged to prevent such outcomes. This article reviews research exploring the ways that digital media, particularly social media, can be used to prevent negative mental health outcomes and promote youth mental health and well-being.

Recent findings

Research indicates that media can be protective against mental health problems and promote mental health by enabling social support and destigmatizing mental illness, especially for youth with limited resources. Media also can be leveraged to identify those at risk, to educate, provide resources, and promote well-being, and to track symptoms and intervene to prevent or mitigate negative mental health outcomes. There is limited research on interventions designed to reduce the negative effects of digital media on mental health, especially those that harness media itself, a critical area of future research.

Summary

This article provides a summary of the current evidence on this topic, highlights key directions for future research, and provides evidence-based recommendations for adolescents, families, educators, clinicians, industry, and policy-makers to prevent mental health problems related to media.

Effects of frequent assessments on the severity of suicidal thoughts: an ecological momentary assessment study

Objective

In recent years, there has been a significant increase in research using ecological momentary assessment (EMA) to explore suicidal thoughts and behaviors (STBs). Meanwhile, concerns have been raised regarding the potential impacts of frequent and intense STBs assessments on the study participants.

Methods

From November 2021 to June 2023, a total of 83 adolescent and young adult outpatients (Mage = 21.0, SDage = 6.3, 71.1% female), who were diagnosed with mood disorders, were recruited from three psychiatric clinics in China. Smartphone-based EMA was used to measure suicidal thoughts three times per day at randomly selected times. We examined the change of suicidal thoughts in each measurement and within 1 day to evaluate potential adverse effects using Bayesian multilevel models.

Results

The 3,105 effective surveys were nested in 83 participants (median follow-up days: 14 days). The results of two-level models indicated that suicidal thoughts decreased during the monitoring period. However, this effect varied among different individuals in the two-level model.

Conclusion

Our findings did not support the notion that repeated assessment of suicidal thoughts is iatrogenic, but future research should continue to investigate the impact of frequent assessment on suicidal thoughts, taking into account individual differences and utilizing larger sample sizes.

Testing the interpersonal theory of suicide in adolescents: A multi-wave longitudinal study

BACKGROUND

Suicide is a major public health crisis among youth. Several prominent theories, including the Interpersonal Theory of Suicide (IPTS), aim to characterize the factors leading from suicide ideation to action. These theories are largely based on findings in adults and require testing and elaboration in adolescents.

METHODS

Data were examined from high-risk 13-18-year-old adolescents (N = 167) participating in a multi-wave, longitudinal study; 63% of the sample exhibited current suicidal thoughts or recent behaviors (n = 105). The study included a 6-month follow-up period with clinical interviews and self-report measures at each of the four assessments as well as weekly smartphone-based assessments of suicidal thoughts and behaviors. Regression and structural equation models were used to probe hypotheses related to the core tenets of the IPTS.

RESULTS

Feelings of perceived burdensomeness were associated with more severe self-reported suicidal ideation (b = 0.58, t(158) = 7.64, p < .001). Similarly, burdensomeness was associated with more frequent ideation based on weekly smartphone ratings (b = 0.11, t(1460) = 3.41, p < .001). Contrary to IPTS hypotheses, neither feelings of thwarted belongingness, nor interactions between burdensomeness and thwarted belongingness were significantly associated with ideation (ps > .05). Only elevated depression severity was associated with greater odds of suicide events (i.e., suicide attempts, psychiatric hospitalizations, and/or emergency department visits for suicide concerns) during the follow-up period (OR = 1.83, t(158) = 2.44, p = .01). No effect of acquired capability was found.

CONCLUSIONS

Perceptions of burdensomeness to others reflect a critical risk factor for suicidal ideation among high-risk adolescents. Null findings with other IPTS constructs may suggest a need to adopt more developmentally sensitive models or measures of interpersonal and acquired capability risk factors for youth. Refining methods and theoretical models of suicide risk may help improve the identification of high-risk cases and inform clinical intervention.

Predicting Lifetime Suicide Attempts in a Community Sample of Adolescents Using Machine Learning Algorithms

Suicide is a major global health concern and a prominent cause of death in adolescents. Previous research on suicide prediction has mainly focused on clinical or adult samples. To prevent suicides at an early stage, however, it is important to screen for risk factors in a community sample of adolescents. We compared the accuracy of logistic regressions, elastic net regressions, and gradient boosting machines in predicting suicide attempts by 17-year-olds in the Millennium Cohort Study (N = 7,347), combining a large set of self- and other-reported variables from different categories. Both machine learning algorithms outperformed logistic regressions and achieved similar balanced accuracies (.76 when using data 3 years before the self-reported lifetime suicide attempts and .85 when using data from the same measurement wave). We identified essential variables that should be considered when screening for suicidal behavior. Finally, we discuss the usefulness of complex machine learning models in suicide prediction.

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.

Intensive Longitudinal Assessment of Adolescents to Predict Suicidal Thoughts and Behaviors

OBJECTIVE

Suicide is a leading cause of death among adolescents. However, there are no clinical tools to detect proximal risk for suicide.

METHOD

Participants included 13- to 18-year-old adolescents (N = 103) reporting a current depressive, anxiety, and/or substance use disorder who owned a smartphone; 62% reported current suicidal ideation, with 25% indicating a past-year attempt. At baseline, participants were administered clinical interviews to assess lifetime disorders and suicidal thoughts and behaviors (STBs). Self-reports assessing symptoms and suicide risk factors also were obtained. In addition, the Effortless Assessment of Risk States (EARS) app was installed on adolescent smartphones to acquire daily mood and weekly suicidal ideation severity during the 6-month follow-up period. Adolescents completed STB and psychiatric service use interviews at the 1-, 3-, and 6-month follow-up assessments.

RESULTS

K-means clustering based on aggregates of weekly suicidal ideation scores resulted in a 3-group solution reflecting high-risk (n = 26), medium-risk (n = 47), and low-risk (n = 30) groups. Of the high-risk group, 58% reported suicidal events (ie, suicide attempts, psychiatric hospitalizations, emergency department visits, ideation severity requiring an intervention) during the 6-month follow-up period. For participants in the high-risk and medium-risk groups (n = 73), mood disturbances in the preceding 7 days predicted clinically significant ideation, with a 1-SD decrease in mood doubling participants' likelihood of reporting clinically significant ideation on a given week.

CONCLUSION

Intensive longitudinal assessment through use of personal smartphones offers a feasible method to assess variability in adolescents' emotional experiences and suicide risk. Translating these tools into clinical practice may help to reduce the needless loss of life among adolescents.

Ecological Momentary Assessments and Passive Sensing in the Prediction of Short-Term Suicidal Ideation in Young Adults

Importance

Advancements in technology, including mobile-based ecological momentary assessments (EMAs) and passive sensing, have immense potential to identify short-term suicide risk. However, the extent to which EMA and passive data, particularly in combination, have utility in detecting short-term risk in everyday life remains poorly understood.

Objective

To examine whether and what combinations of self-reported EMA and sensor-based assessments identify next-day suicidal ideation.

Design, Setting, and Participants

In this intensive longitudinal prognostic study, participants completed EMAs 4 times daily and wore a sensor wristband (Fitbit Charge 3) for 8 weeks. Multilevel machine learning methods, including penalized generalized estimating equations and classification and regression trees (CARTs) with repeated 5-fold cross-validation, were used to optimize prediction of next-day suicidal ideation based on time-varying features from EMAs (affective, cognitive, behavioral risk factors) and sensor data (sleep, activity, heart rate). Young adult patients who visited an emergency department with recent suicidal ideation and/or suicide attempt were recruited. Identified via electronic health record screening, eligible individuals were contacted remotely to complete enrollment procedures. Participants (aged 18 to 25 years) completed 14 708 EMA observations (64.4% adherence) and wore a sensor wristband approximately half the time (55.6% adherence). Data were collected between June 2020 and July 2021. Statistical analysis was performed from January to March 2023.

Main Outcomes and Measures

The outcome was presence of next-day suicidal ideation.

Results

Among 102 enrolled participants, 83 (81.4%) were female; 6 (5.9%) were Asian, 5 (4.9%) were Black or African American, 9 (8.8%) were more than 1 race, and 76 (74.5%) were White; mean (SD) age was 20.9 (2.1) years. The best-performing model incorporated features from EMAs and showed good predictive accuracy (mean [SE] cross-validated area under the receiver operating characteristic curve [AUC], 0.84 [0.02]), whereas the model that incorporated features from sensor data alone showed poor prediction (mean [SE] cross-validated AUC, 0.56 [0.02]). Sensor-based features did not improve prediction when combined with EMAs. Suicidal ideation-related features were the strongest predictors of next-day ideation. When suicidal ideation features were excluded, an alternative EMA model had acceptable predictive accuracy (mean [SE] cross-validated AUC, 0.76 [0.02]). Both EMA models included features at different timescales reflecting within-day, end-of-day, and time-varying cumulative effects.

Conclusions and Relevance

In this prognostic study, self-reported risk factors showed utility in identifying near-term suicidal thoughts. Best-performing models required self-reported information, derived from EMAs, whereas sensor-based data had negligible predictive accuracy. These results may have implications for developing decision algorithms identifying near-term suicidal thoughts to guide risk monitoring and intervention delivery in everyday life.

Acceptability and feasibility of ecological momentary assessment with augmentation of passive sensor data in young adults at high risk for suicide

Ecological Momentary Assessment (EMA) and wearable sensor data have the potential to enhance prediction of suicide risk in real-world conditions. However, the feasibility of this methodology with high-risk populations, including over extended periods, warrants closer attention. This study examined the feasibility and acceptability of concurrent EMA and wearable sensor monitoring in young adults after emergency department (ED) care for suicide risk-related concerns. For 2 months after ED discharge, 106 participants (ages 18-25; 81.1% female) took part in EMA surveys (4x per day) and passive sensor (Fitbit) monitoring and completed an end-of-study phone interview. Overall adherence to EMA (62.1%) and wearable sensor (53.6%) was moderate and comparable to briefer protocols. Relative to EMAs (81%), fewer participants completed the full 8 weeks of Fitbit (63%). While lower initial hopelessness was linked to reduced EMA adherence, previous-day suicidal ideation predicted lower Fitbit adherence on the next day. Self-endorsed barriers to EMA and wearable sensor adherence were also examined. Participants tended to report positive experience with the protocol, with majority indicating EMAs were minimally burdensome, reporting that the Fitbit was generally comfortable, and expressing interest in participating in a similar study again. Findings provide support for the feasibility and acceptability of concurrent intensive self-report and wearable sensor data during a high-risk period. Implications and future directions are discussed.

Predicting short-term suicidal thoughts in adolescents using machine learning: developing decision tools to identify daily level risk after hospitalization

BACKGROUND

Mobile technology offers unique opportunities for monitoring short-term suicide risk in daily life. In this study of suicidal adolescent inpatients, theoretically informed risk factors were assessed daily following discharge to predict near-term suicidal ideation and inform decision algorithms for identifying elevations in daily level risk, with implications for real-time suicide-focused interventions.

METHODS

Adolescents (N = 78; 67.9% female) completed brief surveys texted daily for 4 weeks after discharge (n = 1621 observations). Using multi-level classification and regression trees (CARTSs) with repeated 5-fold cross-validation, we tested (a) a simple prediction model incorporating previous-day scores for each of 10 risk factors, and (b) a more complex model incorporating, for each of these factors, a time-varying person-specific mean over prior days together with deviation from that mean. Models also incorporated missingness and contextual (study week, day of the week) indicators. The outcome was the presence/absence of next-day suicidal ideation.

RESULTS

The best-performing model (cross-validated AUC = 0.86) was a complex model that included ideation duration, hopelessness, burdensomeness, and self-efficacy to refrain from suicidal action. An equivalent model that excluded ideation duration had acceptable overall performance (cross-validated AUC = 0.78). Models incorporating only previous-day scores, with and without ideation duration (cross-validated AUC of 0.82 and 0.75, respectively), showed relatively weaker performance.

CONCLUSIONS

Results suggest that specific combinations of dynamic risk factors assessed in adolescents' daily life have promising utility in predicting next-day suicidal thoughts. Findings represent an important step in the development of decision tools identifying short-term risk as well as guiding timely interventions sensitive to proximal elevations in suicide risk in daily life.

Future Directions in Understanding and Interpreting Discrepant Reports of Suicidal Thoughts and Behaviors Among Youth

Both the quality and utility of youth suicide research depend on how we assess our outcomes of interest: suicidal thoughts and behaviors (STBs). We now have access to more STB assessments than ever before, with measures for youth that vary in what exact experiences are asked about, how such measures elicit information, when and how frequently measures are administered, and who the informants are. This growing armamentarium of assessments has the potential to improve the study and treatment of STBs among youth, but it hinges on meaningful interpretation of assessment responses. Interpretation can be especially challenging when different STB assessments yield conflicting information. Determining how to manage discrepant reports of STBs is a pivotal step toward achieving meaningfully comprehensive STB assessment batteries. Here, we outline several discrepant reporting patterns that have been detected, discuss the potential significance of these observed discrepancies, and present initial steps to formally investigate discrepant reports of STBs among youth. Developing coherent, interpretable, and comprehensive batteries assessing STBs among youth would address a fundamental step to uncovering etiology, improving clinical decision-making and case management, informing intervention development, and tracking prognosis.

Self-injurious thoughts and behaviors and alterations in positive valence systems: A systematic review of the literature

Self-injurious thoughts and behaviors (SITBs), which include suicidal ideation (SI), suicide attempts (SA), and nonsuicidal self-injury (NSSI), are prevalent and associated with impairments in functioning and elevated risk of suicide deaths. Preventing suicide is a complex problem, with numerous systems likely contributing to the onset and maintenance of SITBs, and there is a critical need to identify more precise predictors of risk. Positive valence systems (PVS) are an understudied domain with promise for improving understanding of risk processes underlying SITBs. In this systematic review, we evaluate the evidence for the potential role of altered PVS function in SI, SA, and/or NSSI, including alterations in reward responsiveness, learning, and valuation assessed through behavioral, physiological and circuit measures. Results provide preliminary support for associations between distinct aspects of PVS function and alterations in SITBs. Specifically, SI appears to be characterized by low reward responsiveness, whereas little research has examined reward responsiveness in SA, and NSSI has been characterized by hyper-responsiveness to rewards. Alterations in reward learning and valuation are commonly examined in SA, with some evidence that they may be more strongly associated with attempts than SI or NSSI. At the same time, the literature is limited in that some constructs are commonly examined in one form of SITBs but not others. Further, research is predominantly cross-sectional and focused on adults, raising questions about the role of PVS function in developmental pathways to SITBs. We conclude by integrating the research to date and highlighting promising directions for future research.

Correlates and predictors of the severity of suicidal ideation in adolescence: an examination of brain connectomics and psychosocial characteristics

BACKGROUND

Suicidal ideation (SI) typically emerges during adolescence but is challenging to predict. Given the potentially lethal consequences of SI, it is important to identify neurobiological and psychosocial variables explaining the severity of SI in adolescents.

METHODS

In 106 participants (59 female) recruited from the community, we assessed psychosocial characteristics and obtained resting-state fMRI data in early adolescence (baseline: aged 9-13 years). Across 250 brain regions, we assessed local graph theory-based properties of interconnectedness: local efficiency, eigenvector centrality, nodal degree, within-module z-score, and participation coefficient. Four years later (follow-up: ages 13-19 years), participants self-reported their SI severity. We used least absolute shrinkage and selection operator (LASSO) regressions to identify a linear combination of psychosocial and brain-based variables that best explain the severity of SI symptoms at follow-up. Nested-cross-validation yielded model performance statistics for all LASSO models.

RESULTS

A combination of psychosocial and brain-based variables explained subsequent severity of SI (R2  = .55); the strongest was internalizing and externalizing symptom severity at follow-up. Follow-up LASSO regressions of psychosocial-only and brain-based-only variables indicated that psychosocial-only variables explained 55% of the variance in SI severity; in contrast, brain-based-only variables performed worse than the null model.

CONCLUSIONS

A linear combination of baseline and follow-up psychosocial variables best explained the severity of SI. Follow-up analyses indicated that graph theory resting-state metrics did not increase the prediction of the severity of SI in adolescents. Attending to internalizing and externalizing symptoms is important in early adolescence; resting-state connectivity properties other than local graph theory metrics might yield a stronger prediction of the severity of SI.

Future Directions in Suicide and Self-Injury Revisited: Integrating a Developmental Psychopathology Perspective

The recent rise in suicide rates among children and adolescents has made suicide prevention in youth a major focus of government agencies and mental health organizations. In 2012, Nock presented future directions in the study of self-injurious thoughts and behavior (SITBs), highlighting the need to better examine which risk factors are associated with "each part of the pathway" to suicidal and non-suicidal self-injury in order to inform prevention and intervention efforts. Over the past decade, we have made important advances in understanding the development of SITBs and effective interventions. However, there are still major gaps of knowledge in our understanding of how to prevent suicide. Researchers have recently called for more studies focusing particularly on the pathway from suicidal ideation to suicidal behavior. However, we caution against prioritizing only a part of the suicide risk continuum (e.g., the transition from suicidal ideation to suicidal behavior) while minimizing research focusing on earlier developmental points of the pathway to suicide (e.g., the first development of suicidal ideation). We emphasize that childhood and adolescence represent a critical opportunity to intervene and prevent SITBs by altering developmental trajectories toward persistent and escalating SITBs over time. We advocate for integrating a developmental psychopathology perspective into future youth suicide research that focuses on how and when risk for SITBs first emerges and develops across childhood into emerging adulthood. This research is critical for informing interventions aimed at bending developmental pathways away from all SITBs. Here, we describe the need for future research that integrates key developmental psychopathology principles on 1) the identification of the continuum from developmentally typical to atypical as SITBs first emerge and develop, particularly among young children in early to middle childhood, 2) the way in which expressions of and risk for SITBs change across development, 3) how SITBs dynamically move along a continuum from typical to atypical over time, and 4) suicide prevention efforts. We also offer recommendations for future directions that focus on identifying disparities in SITBs occurring among minoritized youth within a developmental psychopathology perspective.

Integrating a functional view on suicide risk into idiographic statistical models

Acute risk of death by suicide manifests in heightened suicidal ideation in certain contexts and time periods. These increases are thought to emerge from complex and mutually reinforcing relationships between dispositional vulnerability factors and individually suicidogenic short-term stressors. Together, these processes inform clinical safety planning and our therapeutic tools accommodate a reasonable degree of idiosyncrasy when we individualize interventions. Unraveling these multifaceted factors and processes on a quantitative level, however, requires estimation frameworks capable of representing idiosyncrasies relevant to intervention and psychotherapy. Using, data from a 21-day ambulatory assessment protocol that included six random prompts per day, we developed personalized (i.e., idiographic) models of interacting risk factors and suicidal ideation via Group Iterative Multiple Model Estimation (GIMME) in a sample of people diagnosed with borderline personality disorder (N = 95) stratified for a history of high lethality suicide attempts. Our models revealed high levels of heterogeneity in state risk factors related to suicidal ideation, with no features shared among the majority of participants or even among relatively homogenous clusters of participants (i.e., empirically derived subgroups). We discuss steps toward clinical implementation of personalized models, which can eventually capture suicidogenic changes in proximal risk factors and inform safety planning and interventions.

Building on the past 50 years, not starting over: A balanced interpretation of meta-analyses, reviews, and commentaries on treatments for suicide and self-injury

Several recent meta-analyses on interventions for self-injurious thoughts and behaviors (SITBs) have been conducted. The primary finding of these meta-analyses is that the observed effects of interventions for SITBs are generally quite small and are far from where we need to be as a field. Although we agree with these general findings, we disagree, however, with many of the overly bleak conclusions drawn from these findings that emphasize creating new treatments while discounting the benefit of improving existing interventions and the decades of research that were involved in creating them. Accordingly, we offer three future directions with promise to build upon and improve our existing treatments, while we simultaneously work to develop new ones: (1) determine which intervention(s) are needed for which person and at which time, (2) conduct more research on intervention length before concluding that brief interventions are just as efficacious as longer ones, and (3) evaluate the potential of comprehensive models of suicide prevention as a more efficacious alternative to any one individual intervention.

Just-in-Time Adaptive Interventions for Suicide Prevention: Promise, Challenges, and Future Directions

The suicide rate (currently 14 per 100,000) has barely changed in the United States over the past 100 years. There is a need for new ways of preventing suicide. Further, research has revealed that suicidal thoughts and behaviors and the factors that drive them are dynamic, heterogeneous, and interactive. Most existing interventions for suicidal thoughts and behaviors are infrequent, not accessible when most needed, and not systematically tailored to the person using their own data (e.g., from their own smartphone). Advances in technology offer an opportunity to develop new interventions that may better match the dynamic, heterogeneous, and interactive nature of suicidal thoughts and behaviors. Just-In-Time Adaptive Interventions (JITAIs), which use smartphones and wearables, are designed to provide the right type of support at the right time by adapting to changes in internal states and external contexts, offering a promising pathway toward more effective suicide prevention. In this review, we highlight the potential of JITAIs for suicide prevention, challenges ahead (e.g., measurement, ethics), and possible solutions to these challenges.

Sleep problems predict next-day suicidal thinking among adolescents: A multimodal real-time monitoring study following discharge from acute psychiatric care

Suicidal thoughts and behaviors (STBs) are major public health concerns among adolescents, and research is needed to identify how risk is conferred over the short term (hours and days). Sleep problems may be associated with elevated risk for STBs, but less is known about this link in youth over short time periods. The current study utilized a multimodal real-time monitoring approach to examine the association between sleep problems (via daily sleep diary and actigraphy) and next-day suicidal thinking in 48 adolescents with a history of STBs during the month following discharge from acute psychiatric care. Results indicated that specific indices of sleep problems assessed via sleep diary (i.e., greater sleep onset latency, nightmares, ruminative thoughts before sleep) predicted next-day suicidal thinking. These effects were significant even when daily sadness and baseline depression were included in the models. Moreover, several associations between daily-level sleep problems and next-day suicidal thinking were moderated by person-level measures of the construct. In contrast, sleep indices assessed objectively (via actigraphy) were either not related to suicidal thinking or were related in the opposite direction from hypothesized. Together, these findings provide some support for sleep problems as a short-term risk factor for suicidal thinking in high-risk adolescents.

Can passive measurement of physiological distress help better predict suicidal thinking?

There has been growing interest in using wearable physiological monitors to passively detect the signals of distress (i.e., increases in autonomic arousal measured through increased electrodermal activity [EDA]) that may be imminently associated with suicidal thoughts. Before using these monitors in advanced applications such as creating suicide risk detection algorithms or just-in-time interventions, several preliminary questions must be answered. Specifically, we lack information about whether: (1) EDA concurrently and prospectively predicts suicidal thinking and (2) data on EDA adds to the ability to predict the presence and severity of suicidal thinking over and above self-reports of emotional distress. Participants were suicidal psychiatric inpatients (n = 25, 56% female, M age = 33.48 years) who completed six daily assessments of negative affect and suicidal thinking duration of their psychiatric inpatient stay and 28 days post-discharge, and wore on their wrist a physiological monitor (Empatica Embrace) that passively detects autonomic activity. We found that physiological data alone both concurrently and prospectively predicted periods of suicidal thinking, but models with physiological data alone had the poorest fit. Adding physiological data to self-report models improved fit when the outcome variable was severity of suicidal thinking, but worsened model fit when the outcome was presence of suicidal thinking. When predicting severity of suicidal thinking, physiological data improved model fit more for models with non-overlapping self-report data (i.e., low arousal negative affect) than for overlapping self-report data (i.e., high arousal negative affect). These findings suggest that physiological data, under certain contexts (e.g., when combined with self-report data), may be useful in better predicting-and ultimately, preventing-acute increases in suicide risk. However, some cautious optimism is warranted since physiological data do not always improve our ability to predict suicidal thinking.

Advances in Research on Adolescent Suicide and a High Priority Agenda for Future Research

Suicide is the second leading cause of death for adolescents in the United States, yet remarkably little is known regarding risk factors for suicidal thoughts and behaviors (STBs), relatively few federal grants and scientific publications focus on STBs, and few evidence-based approaches to prevent or treat STBs are available. This "decade in review" article discusses five domains of recent empirical findings that span biological, environmental, and contextual systems and can guide future research in this high priority area: (1) the role of the central nervous system; (2) physiological risk factors, including the peripheral nervous system; (3) proximal acute stress responses; (4) novel behavioral and psychological risk factors; and (5) broader societal factors impacting diverse populations and several additional nascent areas worthy of further investigation.

Opening the Black Box of Daily Life in Nonsuicidal Self-injury Research: With Great Opportunity Comes Great Responsibility

Although nonsuicidal self-injury (NSSI)-deliberate damaging of body tissue without suicidal intent-is a behavior that occurs in interaction with real-world contexts, studying NSSI in the natural environment has historically been impossible. Recent advances in real-time monitoring technologies have revolutionized our ability to do exactly that, providing myriad research and clinical practice opportunities. In this viewpoint paper, we review new research pathways to improve our ability to understand, predict, and prevent NSSI, and provide critical perspectives on the responsibilities inherent to conducting real-time monitoring studies on NSSI. Real-time monitoring brings unique opportunities to advance scientific understanding about (1) the dynamic course of NSSI, (2) the real-time predictors thereof and ability to detect acute risk, (3) the ecological validity of theoretical models, (4) the functional mechanisms and outcomes of NSSI, and (5) the promotion of person-centered care and novel technology-based interventions. By considering the opportunities of real-time monitoring research in the context of the accompanying responsibilities (eg, inclusive recruitment, sound and transparent research practices, participant safety and engagement, measurement reactivity, researcher well-being and training), we provide novel insights and resources to open the black box of daily life in the next decade(s) of NSSI research.

Nonsuicidal Self-injury, Suicide Planning, and Suicide Attempts Among High-risk Adolescents Prior to Psychiatric Hospitalization

The purpose of this study was to understand the trajectories of nonsuicidal self-injury (NSSI) and suicide plans (SP) in the 90 days prior to inpatient hospitalization, understand the role of NSSI and SP in predicting suicide attempts (SA) on a given day, and to test the interaction between NSSI and SP in predicting same-day SA. Participants included 69 adolescents (77% female, 65% white, 77% Non-Hispanic/Latinx, M_age = 15.77 SD_age = 1.00) from an inpatient psychiatric unit. Past 90 day NSSI, SP, and SA were measured using the Columbia Suicide Severity Rating Scale and Timeline Follow Back. First, mixed effect models were conducted to assess trajectories of NSSI and SP leading up to inpatient hospitalization. The odds of NSSI remained relatively stable prior to hospitalization (OR = 1.01, 95% CI [1.00,1.02]). The odds of SP increased in the 90 days prior to hospitalization (OR = 1.04, 95% CI [1.02,1.05]) with each day associated with a 4% increase in the odds of making a SP. Second, random effect models were conducted to predict the odds of same-day SA from NSSI and SP. When adolescents endorsed either NSSI (OR = 2.99, p < .001) or a SP (OR = 77.13, p < .001) there was elevated odds of same-day SA. However, the presence of both NSSI and SP on a given day did not increase risk of SA on that same day. For this high-risk clinical sample of suicidal adolescents who drink alcohol, odds of SP increased in the days leading up to psychiatric hospitalization, but NSSI remained stable. On days when adolescents reported NSSI or SP, they had an increased odds of same-day SA. These results underscore the importance of frequent monitoring of NSSI and SP among high-risk adolescents who drink alcohol to prevent suicide attempts.

New Methods for Assessing Rapid Changes in Suicide Risk

Rapid-acting interventions for the suicide crisis have the potential to transform treatment. In addition, recent innovations in suicide research methods may similarly expand our understanding of the psychological and neurobiological correlates of suicidal thoughts and behaviors. This review discusses the limitations and challenges associated with current methods of suicide risk assessment and presents new techniques currently being developed to measure rapid changes in suicidal thoughts and behavior. These novel assessment strategies include ecological momentary assessment, digital phenotyping, cognitive and implicit bias metrics, and neuroimaging paradigms and analysis methodologies to identify neural circuits associated with suicide risk. This review is intended to both describe the current state of our ability to assess rapid changes in suicide risk as well as to explore future directions for clinical, neurobiological, and computational markers research in suicide-focused clinical trials.

Digital Phenotyping of Emotion Dysregulation Across Lifespan Transitions to Better Understand Psychopathology Risk

Ethical and consensual digital phenotyping through smartphone activity (i. e., passive behavior monitoring) permits measurement of temporal risk trajectories unlike ever before. This data collection modality may be particularly well-suited for capturing emotion dysregulation, a transdiagnostic risk factor for psychopathology, across lifespan transitions. Adolescence, emerging adulthood, and perinatal transitions are particularly sensitive developmental periods, often marked by increased distress. These participant groups are typically assessed with laboratory-based methods that can be costly and burdensome. Passive monitoring presents a relatively cost-effective and unobtrusive way to gather rich and objective information about emotion dysregulation and risk behaviors. We first discuss key theoretically-driven concepts pertaining to emotion dysregulation and passive monitoring. We then identify variables that can be measured passively and hold promise for better understanding emotion dysregulation. For example, two strong markers of emotion dysregulation are sleep disturbance and problematic use of Internet/social media (i.e., use that prompts negative emotions/outcomes). Variables related to mobility are also potentially useful markers, though these variables should be tailored to fit unique features of each developmental stage. Finally, we offer our perspective on candidate digital variables that may prove useful for each developmental transition. Smartphone-based passive monitoring is a rigorous method that can elucidate psychopathology risk across human development. Nonetheless, its use requires researchers to weigh unique ethical considerations, examine relevant theory, and consider developmentally-specific lifespan features that may affect implementation.

Future Directions for Optimizing Clinical Science & Safety: Ecological Momentary Assessments in Suicide/Self-Harm Research

OBJECTIVE

Mobile technology has facilitated rapid growth in the use of intensive longitudinal methods (ILM), such as ecological momentary assessments (EMA), that help identify proximal indicators of risk in real-time and real-world settings. To realize the potential of ILM for advancing knowledge regarding suicidal and self-injurious thoughts and behaviors (SITB), this article aims to provide a systematic review of safety protocols in published ILM studies of youth SITB, highlight considerations for maximizing safety, and offer an agenda for future research.

METHOD

We conducted a systematic review of risk management strategies in published studies applying ILM to assess SITB in youth.

RESULTS

The review indicated diverse safety strategies, with near-universal use of preventive strategies before beginning ILM surveys. Strategies for participant protection during the survey period included automated protective messages to seek support when elevated risk was detected; and staff-led strategies, some of which included active outreach to parents/caregivers when youth responses suggested elevated risk. Studies assessing suicidality all provided staff-led follow-up. There was minimal information on youth reactivity to intensive longitudinal assessments of SITB. Available evidence did not suggest increased suicidal ideation, suicide attempts, self-injurious behavior, or deaths with ILM.

CONCLUSIONS

Based on the review, we propose a research agenda to inform safety procedures in ILM research and a model for managing risk in future ILM studies of youth SITB. This model begins with a needs assessment and proposes a "goodness of fit" approach for matching safety procedures to the specific needs of each ILM study.

Adolescent suicide risk and experiences of dissociation in daily life

Dissociation is associated with risk for suicide in adults, but this link is not well studied in adolescents, in spite of their marked suicide risk. This study assessed adolescents' dissociative experiences in daily life and evaluated the association between dissociative experiences and suicide risk, including the independence of this relationship from related affective and clinical states and demographic characteristics. Clinically referred early adolescents (N = 162; aged 11-13) were assessed via multi-informant clinical interview, questionnaires, and 4-day ecological momentary assessment protocol. Adolescents were classified as being at elevated suicide risk using multi-informant, multi-method reports of suicide risk behavior and/or at elevated proximal risk using the 4-day EMA only. Suicide risk was associated with daily dissociative experiences, and this relationship was independent of daily negative and positive affect and co-occurring borderline personality symptoms. Gender differences emerged, such that the relationship between daily dissociative experiences and suicide risk was only significant in adolescent girls. Overall, findings suggest dissociation may be independently relevant to adolescent suicide risk, above and beyond effects of psychopathology and affective disturbance, and especially in girls. Daily dissociative experiences may help understand and detect suicide risk among early adolescents and warrant further research.

Allergic Disease, Short Sleep Duration, and Suicidal Ideation and Plans Among Korean Adolescents

The purpose of the study is to identify the relationships between allergic disease, suicidal ideation, and plans among Korean adolescents. Additionally, we examined the mediating role of short sleep duration. We analyzed nationally representative cross-sectional data from the 12th to 14th Korea Youth Risk Behavior Web-Based Survey; the final sample included 164,725 middle school-aged and high school-aged adolescents (mean age = 15.17 years, standard deviation = .13; 51.1% male). Allergic disease was a statistically significant risk factor for suicidal ideation (crude odds ratio [COR] = 1.284, 95% confidence interval [CI] = [1.246, 1.323]) and suicide plans (COR = 1.165, 95% CI = [1.108, 1.224]). Short sleep duration was a statistically significant mediator (p < .001). We advised school nurses to assess warning signs of poor sleep-including irritability, depression, sleep problems, poor concentration, and poor academic achievement-and that programs be created to improve sleep and mental health in adolescents with allergic disease.

Future Directions in Single-Session Youth Mental Health Interventions

The United States spends more money on mental health services than any other country, yet access to effective psychological services remains strikingly low. The need-to-access gap is especially wide among children and adolescents, with up to 80% of youths with mental health needs going without services, and the remainder often receiving insufficient or untested care. Single-session interventions (SSIs) may offer a promising path toward improving accessibility, cost-effectiveness, and completion rates for youth mental health services. SSIs are structured programs that intentionally involve only one visit or encounter with a clinic, provider, or program; they may serve as stand-alone or adjunctive clinical services. A growing body of evidence supports the capacity of SSIs to reduce and prevent youth psychopathology of multiple types. Here, we provide a working definition of SSIs for use in future research and practice; summarize the literature to date on SSIs for child and adolescent mental health; and propose recommendations for the future design, evaluation, and implementation of SSIs across a variety of settings and contexts. We hope that this paper will serve as an actionable research agenda for gauging the full potential of SSIs as a force for youth mental health.