A Prospective Examination of the Interpersonal-Psychological Theory of Suicidal Behavior in Adolescents.

OBJECTIVE: Given the large and complex array of suicide risk factors, theoretical frameworks are critical to furthering our understanding of risk. This study prospectively examined several key constructs of the interpersonal-psychological theory of suicidal behavior (IPTS) in a large, geographically diverse sample of U.S. adolescents. METHOD: Conducted in collaboration with the Pediatric Emergency Care Applied Research Network, adolescents, ages 12 to 17, were recruited from emergency departments. Baseline and 6-month follow-up samples were comprised of 6,448 (59% female sex) and 2,009 (64% female sex) adolescents, with self-identified race/ethnicity as follows (baseline/follow-up): White (52%/54%), Black (22%/23%), Multiracial (6%/6%), American Indian (3%/3%), other/unknown race (15%/14%), and Latinx (25%/23%). Youth and parents completed adolescent suicide risk surveys at baseline and 6-month follow-up (retention, 69%). Latent class analysis was used to identify classes of painful and provocative events (PPE), considered a precursor to acquired capability. RESULTS: In keeping with IPTS tenets, thwarted belongingness (TB), perceived burdensomeness (PB), and the interaction between TB and PB were each significant predictors of suicidal ideation at baseline and follow-up. However, only PB and PPE were significant predictors of cross-sectional suicide attempts and only TB and PPE were significant predictors of prospective suicide attempts in models that adjusted for baseline suicidal ideation. The three-way interaction among PB, TB and PPE was nonsignificant. CONCLUSIONS: Results from this large-scale prospective study suggest the importance of TB, PB, and PPE to our understanding of suicidal thoughts and suicide attempts among adolescents, pointing to promising prevention and intervention targets.

Worsening Symptoms of Anxiety, Depression, and Sleep Problems in Caregivers Following Youth's Suicide-Related Emergency Department Visit.

OBJECTIVE: Although families assume considerable responsibility in caring for their child after a suicidal crisis, little is known about caregiver well-being following a suicide-related pediatric Emergency Department (ED) visit. This study aimed to (1) describe the course of caregiver distress symptoms (e.g., anxiety, depression, and negative affect) and sleep problems following their child's suicide-related ED visit and to (2) identify factors (e.g., parents' mental health history, youth suicide risk chronicity, and perception of feeling supported by the mental health system) hypothesized to be related to caregiver distress symptoms and sleep problems at follow-up using a diathesis-stress model framework. METHOD: Participants included 118 caregiver/youth (ages 11-17) dyads presenting to a psychiatric ED due to youths' suicide-related concerns. Caregivers and youth were assessed during index ED visit and 2-weeks following discharge. RESULTS: Caregivers' anxiety and depressive symptoms and sleep problems increased significantly from the time of the ED visit to 2-week follow-up. There was no significant change in caregiver negative affect. Caregivers with their own history of mental illness and those whose children had a previous ED visit due to a psychiatric concern, suggestive of chronic suicide risk, reported higher anxiety and depressive symptoms at follow-up. CONCLUSION: In the 2 weeks following an ED visit for their child's suicidal crisis, caregivers reported significant increases in anxiety and depressive symptoms and sleep problems. Findings highlight the need to consider the mental health of caregivers whose children are at elevated risk for suicide.HighlightsCaregivers report increases in distress symptoms following youth's suicidal crisis.Caregiver mental health history and youth suicide chronicity impacted distress.Caregiver mental health should be considered when planning youth interventions.

Evaluating potential of leaf reflectance spectra to monitor plant genetic variation.

Remote sensing of vegetation by spectroscopy is increasingly used to characterize trait distributions in plant communities. How leaves interact with electromagnetic radiation is determined by their structure and contents of pigments, water, and abundant dry matter constituents like lignins, phenolics, and proteins. High-resolution ("hyperspectral") spectroscopy can characterize trait variation at finer scales, and may help to reveal underlying genetic variation-information important for assessing the potential of populations to adapt to global change. Here, we use a set of 360 inbred genotypes of the wild coyote tobacco Nicotiana attenuata: wild accessions, recombinant inbred lines (RILs), and transgenic lines (TLs) with targeted changes to gene expression, to dissect genetic versus non-genetic influences on variation in leaf spectra across three experiments. We calculated leaf reflectance from hand-held field spectroradiometer measurements covering visible to short-wave infrared wavelengths of electromagnetic radiation (400-2500 nm) using a standard radiation source and backgrounds, resulting in a small and quantifiable measurement uncertainty. Plants were grown in more controlled (glasshouse) or more natural (field) environments, and leaves were measured both on- and off-plant with the measurement set-up thus also in more to less controlled environmental conditions. Entire spectra varied across genotypes and environments. We found that the greatest variance in leaf reflectance was explained by between-experiment and non-genetic between-sample differences, with subtler and more specific variation distinguishing groups of genotypes. The visible spectral region was most variable, distinguishing experimental settings as well as groups of genotypes within experiments, whereas parts of the short-wave infrared may vary more specifically with genotype. Overall, more genetically variable plant populations also showed more varied leaf spectra. We highlight key considerations for the application of field spectroscopy to assess genetic variation in plant populations.

A latent profile analysis of at-risk first-year undergraduate students.

Objective: We examined whether meaningful subgroups of self-injurious behaviors (SIBs) would emerge within a pool of first-year college students already deemed at elevated risk. Participants: First-year undergraduates (N = 1,068) recruited in 2015-2018 Fall terms. Methods: Past-year nonsuicidal self-injury (NSSI) frequency, past-year number of NSSI methods used, lifetime suicide attempt (SA) history, and recency of SA were included in a latent profile analysis. Results: Four subgroups emerged: low SIB (n = 558, 52%), high NSSI only (n = 182, 17%), high SIB (n = 141, 13%), and high SA only (n = 187, 18%). Students in the high SIB group reported higher levels of suicidal ideation at baseline and follow-up in comparison to all groups. Those in the high NSSI only or high SIB groups had relatively higher levels of NSSI at baseline and follow-up. Conclusions: Findings highlight the amount of heterogeneity within a high-risk group, along with the importance of considering distal and proximal SIBs in university screening efforts.

Safety plan use in the daily lives of adolescents after psychiatric hospitalization.

INTRODUCTION: Safety planning type interventions (SPTI's) are brief suicide-specific interventions. Little is known about safety plan use during high-risk periods, and whether safety plan use is influenced by baseline characteristics. This study examined how adolescents recently hospitalized for suicide risk use their safety plans post-discharge, tested moderators of safety plan utilization, and explored the relationship between changes in utilization and changes in suicidal ideation (SI) over time. METHODS: Seventy-eight adolescents hospitalized for suicide risk who participated in a pilot trial of safety planning responded to one survey/day for 4 weeks post-discharge and completed a 1-month assessment. RESULTS: Over 90% of adolescents reported having access to their safety plan during the month post-discharge. Safety plan use and SI declined over time. No baseline characteristics predicted safety plan use in the 4 weeks after discharge, or changes in safety plan use over time. However, the relationship between changes in safety plan use and changes in SI was moderated. For girls, SI and safety plan use rose and fell together; for boys, safety plan use declined regardless of changes in SI. CONCLUSIONS: High-risk adolescents retain and use their safety plans. Results underscore the importance of looking at sex effects on SPTI utilization.

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.

Predictors of suicide coping self-efficacy among youth presenting to a psychiatric emergency department.

INTRODUCTION: Low levels of youth-reported self-efficacy to cope with suicidal urges have been shown to prospectively predict repeat emergency department (ED) visits and suicide attempts, yet little is known about how self-efficacy may change following receipt of crisis services or about factors that may strengthen self-efficacy. Protective factors (e.g., parent-reported youth competence, parent-family connectedness, and receipt of mental health services) were examined in relation to self-efficacy at the time of a psychiatric ED visit and 2 weeks later. METHODS: Participants were 205 youth (ages 10-17), presenting to a psychiatric ED due to a suicide-related concern. Youth primarily identified as biological female (63%) and White (87%). Multivariate hierarchical linear regressions were used to examine candidate protective factors in relation to initial and follow-up suicide coping self-efficacy. RESULTS: Self-efficacy significantly improved in the 2 weeks following the ED visit. Parent-family connectedness was positively related to suicide coping self-efficacy at the time of the ED visit. Parent-family connectedness and receipt of inpatient psychiatric care following the ED visit were associated with higher follow-up suicide coping self-efficacy. CONCLUSIONS: During the adolescent developmental period when suicidal thoughts and behaviors notably increase, study findings highlight potential malleable intervention targets, including parent-family connectedness, that may strengthen suicide coping self-efficacy.

Using machine learning with intensive longitudinal data to predict depression and suicidal ideation among medical interns over time.

BACKGROUND: Use of intensive longitudinal methods (e.g. ecological momentary assessment, passive sensing) and machine learning (ML) models to predict risk for depression and suicide has increased in recent years. However, these studies often vary considerably in length, ML methods used, and sources of data. The present study examined predictive accuracy for depression and suicidal ideation (SI) as a function of time, comparing different combinations of ML methods and data sources. METHODS: Participants were 2459 first-year training physicians (55.1% female; 52.5% White) who were provided with Fitbit wearable devices and assessed daily for mood. Linear [elastic net regression (ENR)] and non-linear (random forest) ML algorithms were used to predict depression and SI at the first-quarter follow-up assessment, using two sets of variables (daily mood features only, daily mood features + passive-sensing features). To assess accuracy over time, models were estimated iteratively for each of the first 92 days of internship, using data available up to that point in time. RESULTS: ENRs using only the daily mood features generally had the best accuracy for predicting mental health outcomes, and predictive accuracy within 1 standard error of the full 92 day models was attained by weeks 7-8. Depression at 92 days could be predicted accurately (area under the curve >0.70) after only 14 days of data collection. CONCLUSIONS: Simpler ML methods may outperform more complex methods until passive-sensing features become better specified. For intensive longitudinal studies, there may be limited predictive value in collecting data for more than 2 months.

Temporal profiles of suicidal thoughts in daily life: Results from two mobile-based monitoring studies with high-risk adolescents.

Advancements in mobile technology offer new possibilities to examine fine-grained processes underlying suicidal ideation in everyday, real-world conditions. Across two samples, this study examined temporal changes in near-term suicidal ideation in high-risk adolescents' daily life, and whether these dynamic experiences follow distinct longitudinal trajectories. Using latent process mixed modeling for multivariate outcomes, we investigated near-term changes in two parameters of suicidal thoughts (frequency and intensity) among adolescents who completed four-daily ecological momentary assessments (EMAs) during inpatient hospitalization (Sample 1: N = 61; 843 observations) or daily surveys for four weeks after discharge (Sample 2: N = 78; 1621 observations). Proximally assessed suicidal thoughts followed three trajectories characterized by low (Sample 1: 65.6%; Sample 2: 54%), declining (Sample 1: 4.9%; Sample 2: 15%), or persistently high (Sample 1: 29.5%; Sample 2: 31%) ideation in terms of frequency and urge severity. The persistent trajectory also showed consistently high within-person variability. The persistent group was differentiated by higher hopelessness and lower coping self-efficacy compared to the declining trajectory, and by an overall more severe clinical presentation relative to the low ideation trajectory. Suicidal thoughts in everyday life, across two contexts and regardless of data resolution (EMA and daily surveys), are not homogeneous and instead follow distinct longitudinal profiles. Findings point to the importance of closely monitoring suicidal ideation to identify patterns indicative of unrelenting suicidal thinking. Addressing high hopelessness and low self-efficacy may aid in reducing persistent ideation. Improving our understanding of how suicidal ideation unfolds in real-time may be critical to optimizing timely assessment and support.

Suicide risk profiles and barriers to professional help-seeking among college students with elevated risk for suicide.

Suicide is the second leading cause of death among college students, yet many students with elevated suicide risk do not seek professional help. This study identified suicide risk profiles among college students and examined these in relation to students' perceived barriers to professional help-seeking. Data were obtained from college students (n = 1689) identified to be at elevated risk for suicide based at four US universities. Latent class analysis was performed to determine risk profiles, followed by examinations of differences in help-seeking barriers by profile groupings. Results revealed three student groupings: (1) moderate internalizing and externalizing symptoms (with low alcohol misuse), (2) highest internalizing and externalizing symptoms (with highest social disconnection), and (3) lowest internalizing symptoms and low externalizing (with highest social connection and alcohol misuse). Group 1 included the youngest and most racially and sexually diverse students, Group 2 endorsed the most help-seeking barriers, and Group 3 endorsed the fewest barriers. Group 2 is especially concerning, considering the severe clinical characteristics, high number of barriers, and low connectedness to others for potential support. Understanding these differences across risk and barrier profiles is an important step towards developing tailored approaches to increase mental health care in college populations.

The Impact of Using Different Doses of Biomass Ash on Some Physical Properties of Podzolic Soil under the Cultivation of Winter Oilseed Rape.

This two-year study was focused on the effect of the application of different biomass ash doses on selected soil physical properties, i.e., soil moisture (SM), bulk density (BD), penetration resistance (PR), and soil stability in water measured by the content of readily dispersible clay (RDC), following control and mineral NPK fertilization in the cultivation of winter oilseed rape (Brassica napus L. var. napus). A one-factor field experiment conducted on podzolic soil (control, NPK, 100, 200, 300, 400, 500 kg K2O·ha-1) showed that the use of biomass combustion ash significantly improved soil moisture at all depths and variants, and especially at a depth of 30-35 cm in the 500 kg·ha-1 variant, i.e., by 2.99% v/v, compared to NPK. In turn, the moisture content in the 30-35 cm layer increased by 3.19% v/v in all variants in both years compared to the control. In 2020 and 2021, bulk density in the 0-5 cm layer treated with a dose of 500 kg·ha-1 exhibited a positive 0.15 and 0.12 Mg·m-3 decrease, respectively, compared to the control. In both years, the BD values in the 30-35 cm layer were reduced by 0.14 and 0.16 Mg·m-3 compared to the control. The PR values decreased in the treatments with doses of 300, 400, and 500 kg·ha-1, especially in 2021. The RDC content was found to decline in both years, i.e., 2020 and 2021, upon the application of even the lowest dose (100 kg·ha-1) in all the analysed layers. The reduction in the RDC content, especially in the 0-5 cm layer, is very important for soil structure stability and to protect the soil environment. This layer is most susceptible to crusting, which results in poor aeration and weak plant emergence during drought and/or periods of excessive moisture. It may also increase surface runoff and intensify soil erosion processes.

Utilizing daily mood diaries and wearable sensor data to predict depression and suicidal ideation among medical interns.

BACKGROUND: Intensive longitudinal methods (ILMs) for collecting self-report (e.g., daily diaries, ecological momentary assessment) and passive data from smartphones and wearable sensors provide promising avenues for improved prediction of depression and suicidal ideation (SI). However, few studies have utilized ILMs to predict outcomes for at-risk, non-clinical populations in real-world settings. METHODS: Medical interns (N = 2881; 57 % female; 58 % White) were recruited from over 300 US residency programs. Interns completed a pre-internship assessment of depression, were given Fitbit wearable devices, and provided daily mood ratings (scale: 1-10) via mobile application during the study period. Three-step hierarchical logistic regressions were used to predict depression and SI at the end of the first quarter utilizing pre-internship predictors in step 1, Fitbit sleep/step features in step 2, and daily diary mood features in step 3. RESULTS: Passively collected Fitbit features related to sleep and steps had negligible predictive validity for depression, and no incremental predictive validity for SI. However, mean-level and variability in mood scores derived from daily diaries were significant independent predictors of depression and SI, and significantly improved model accuracy. LIMITATIONS: Work schedules for interns may result in sleep and activity patterns that differ from typical associations with depression or SI. The SI measure did not capture intent or severity. CONCLUSIONS: Mobile self-reporting of daily mood improved the prediction of depression and SI during a meaningful at-risk period under naturalistic conditions. Additional research is needed to guide the development of adaptive interventions among vulnerable populations.

Suicidal Desire in Adolescents: An Examination of the Interpersonal Psychological Theory Using Daily Diaries.

OBJECTIVE: Despite decades of research, relatively little is known about short-term predictors of suicidal thoughts and behavior. Intensive longitudinal methods are increasingly applied to investigate near-term risk factors of suicidal thoughts in daily life. The aim of this study was to examine short-term predictors of daily-level suicidal thoughts in a high-risk adolescent sample using the interpersonal-psychological theory of suicidal behavior (IPTS) as a guiding framework; the theory proposes that interpersonal experiences of thwarted belongingness in combination with perceived burdensomeness lead to suicidal desire. METHODS: Seventy-eight adolescents hospitalized due to suicide risk responded to one survey/day for 28 days after discharge (n = 1621 unique observations). Multilevel models examined IPTS-informed predictors of same- and next-day suicidal urge intensity. RESULTS: Partial and time-dependent support for the theory was found. The hypothesized two-way interaction between burdensomeness and thwarted belongingness (either family or peer) was significantly associated with increasing same-day, but not next-day, suicidal ideation; specifically, greater belongingness attenuated adverse impact of burdensomeness. The only significant predictor of next-day ideation was higher previous-day burdensomeness. Baseline burdensomeness also emerged as a predictor of day-to-day suicidal ideation. CONCLUSION: Using a theoretically informed model, this study offers an in-depth examination of short-term predictors of suicidal ideation among high-risk adolescents. Findings underscore the importance of fostering peer and family relationships in reducing suicidal thoughts in the post-discharge period. Results additionally suggest that both state- and trait-level burdensomeness have lasting influence on suicidal thoughts during this high-risk period. These findings could inform intervention efforts for high-risk youth.

Does coping reduce suicidal urges in everyday life? Evidence from a daily diary study of adolescent inpatients.

BACKGROUND: Youth suicide has been increasing at an alarming rate. Identifying how youth at risk for suicide cope with daily distress and suicidal thoughts could inform prevention and intervention efforts. We investigated the relationship between previous-day coping and next-day suicidal urge intensity in a high-risk adolescent sample for a 4-week period. We also investigated the influence of adolescents' average coping levels, over 4 weeks, on daily severity of suicidal urges. METHODS: A total of 78 adolescents completed daily diaries after psychiatric hospitalization (n = 1621 observations). Each day, adolescents reported their use of specific coping strategies, overall coping helpfulness, and intensity of suicidal urges. RESULTS: Greater professional support seeking from providers/crisis lines and perceptions of coping helpfulness on the previous day were associated with lower next-day suicidal urges. Adolescents who reported greater average use of cognitive strategies, personal support seeking from family/friends, and higher average perceptions of coping helpfulness, relative to others, had lower daily suicidal urges. Noncognitive strategy use was not related to daily suicidal urge intensity. CONCLUSION: Findings point to the benefit of intervention efforts focusing on strengthening personal and professional supportive relationships, assisting youth with developing a broader coping repertoire, and working with adolescents to identify strategies they perceive to be helpful.

Identifying person-specific coping responses to suicidal urges: A case series analysis and illustration of the idiographic method.

INTRODUCTION: Suicide is a leading cause of death. One challenge to prevention efforts is the wide phenomenological heterogeneity in suicidal urges, thoughts, and behaviors across individuals at risk. Despite this heterogeneity, most suicide research estimates group-level effects by averaging across people as if they were the same, preventing detection of person-specific factors that may modulate risk and be key to effective prevention. The goal of the present study is to illustrate the idiographic (i.e., person-specific) approach and highlight its utility for suicide research. METHODS: We implemented a case series approach using three cases from a subset of psychiatrically hospitalized adolescents who provided intensive longitudinal data on daily urges and coping behavior after discharge following a suicide attempt. For illustration, person-specific, bidirectional links between suicidal urges and coping behavior were modeled across a series of cases using a vector autoregression approach. RESULTS: The relationship between suicidal urges and coping differed across the three individuals, who were presented to exhibit the range of this variability in the presence/absence and magnitude of effects. CONCLUSIONS: Individuals who report similar suicidal risk levels likely respond in individualized ways to suicidal urges (e.g., use different coping strategies), necessitating personalized assessment and treatment. We discuss implications for future suicide research.

Predictors of Parent Behavioral Engagement in Youth Suicide Discharge Recommendations: Implications for Family-Centered Crisis Interventions.

The number of youth presenting to Emergency Departments (EDs) with psychiatric chief complaints has almost doubled in the last decade. With pediatric patients, ED brief interventions and discharge recommendations necessitate meaningful parental engagement to optimize youth safety and support. This study examined parent-level factors (stigmatizing attitudes, self-efficacy beliefs, distress symptoms, and illness-related stressors) in relation to parents' behavioral engagement (i.e., participation in and follow-through with best practice discharge recommendations). In this short-term prospective study, participants were 118 parent-youth (aged 11-18) dyads (57% female) recruited from a psychiatric ED. Parents' behavioral engagement was measured with parent- and youth-self report at 2-week follow-up. Parents' self-reported anxious and depressive symptoms, insomnia, stress, and stigmatizing attitudes were not related to engagement 2 weeks later. Higher parental self-efficacy beliefs were significantly associated with greater engagement in standard discharge recommendations. Implications for maximizing parent implementation of clinical recommendations during a youth suicide crisis are discussed.

Enhancing motivation and self-efficacy for safety plan use: Incorporating motivational interviewing strategies in a brief safety planning intervention for adolescents at risk for suicide.

Suicide is one of the leading causes of death among adolescents in the United States, and risk for recurring suicidal thoughts and behavior remains high after discharge from psychiatric hospitals. Safety planning, a brief intervention wherein the main focus is on identifying personal coping strategies and resources to mitigate suicidal crises, is a recommended best practice approach for intervening with individuals at risk for suicide. However, anecdotal as well as emerging empirical evidence indicate that adolescents at risk for suicide often do not use their safety plan during the high-risk postdischarge period. Thus, to be maximally effective, we argue that safety planning should be augmented with additional strategies for increasing safety plan use to prevent recurrent crises during high-risk transitions. The current article describes an adjunctive intervention for adolescents at elevated suicide risk that enhances safety planning with motivational interviewing (MI) strategies, with the goal of increasing adolescents' motivation and strengthening self-efficacy for safety plan use after discharge. We provide an overview of the intervention and its components, focusing the discussion on the in-person individual and family sessions delivered during hospitalization, and describe the theoretical basis for the MI-enhanced intervention. We then provide examples of applying MI during the process of safety planning, including example strategies that aim to elicit motivation and strengthen self-efficacy for safety plan use. We conclude with clinical case material and highlight how these strategies may be incorporated into the safety planning session. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Differential time varying associations among affective states and suicidal ideation among adolescents following hospital discharge.

Suicide is a major public health problem among adolescents. Identifying factors that confer increased risk for suicidal ideation, particularly during the high-risk period following psychiatric hospitalization, is essential for preventing suicide in this population. Negative and positive affect are two such important modifiable risk factors. This study examined relationships between specific affective states and suicidal ideation, collected via daily diary, as continuous functions of time among discharged adolescents. Adolescents hospitalized for suicidal ideation and/or behavior responded to daily surveys for four weeks after discharge (N = 34; 952 observations). Time-varying effects models (TVEM) were used to predict same- and next-day suicidal ideation. Examining between-persons effects, adolescents reporting greater misery and less happiness compared to others had a significantly increased likelihood of same-day suicidal ideation; between-person anger was not significantly associated with suicidal ideation. Within-persons effects suggested that elevated same-day, but not previous-day, misery and anger were associated with suicidal ideation. Elevated within-person happiness was protective for same-day suicidal ideation, but was also associated with next-day suicidal ideation. These findings begin to clarify not only which, but when, specific affective processes influence suicidal ideation for discharged adolescents. These dynamic risk factors represent modifiable treatment targets relevant for real-time interventions.

Adaptive intervention for prevention of adolescent suicidal behavior after hospitalization: a pilot sequential multiple assignment randomized trial.

BACKGROUND: The need for effective interventions for psychiatrically hospitalized adolescents who have varying levels of postdischarge suicide risk calls for personalized approaches, such as adaptive interventions (AIs). We conducted a nonrestricted pilot Sequential, Multiple Assignment, Randomized Trial (SMART) to guide the development of an AI targeting suicide risk after hospitalization. METHODS: Adolescent inpatients (N = 80; ages 13-17; 67.5% female) were randomized in Phase 1 to a Motivational Interview-Enhanced Safety Plan (MI-SP), delivered during hospitalization, alone or in combination with postdischarge text-based support (Texts). Two weeks after discharge, participants were re-randomized in Phase 2 to added telephone booster calls or to no calls. Mechanisms of change were assessed with daily diaries for four weeks and over a 1- and 3-month follow-up. This trial is registered with clinicaltrials.gov (identifier: NCT03838198). RESULTS: Procedures were feasible and acceptable. Mixed effects models indicate that adolescents randomized to MI-SP + Texts (Phase 1) and those randomized to booster calls (Phase 2) experienced significant improvement in daily-level mechanisms, including safety plan use, self-efficacy to refrain from suicidal action, and coping by support seeking. Those randomized to MI-SP + Texts also reported significantly higher coping self-efficacy at 1 and 3 months. Although exploratory, results were in the expected direction for MI-SP + Texts, versus MI-SP alone, in terms of lower risk of suicide attempts (Hazard ratio = 0.30; 95% CI = 0.06, 1.48) and suicidal behavior (Hazard ratio = 0.36; 95% CI = 0.10, 1.37) three months after discharge. Moreover, augmentation with booster calls did not have an overall meaningful impact on suicide attempts (Hazard ratio = 0.65; 95% CI = 0.17, 3.05) or suicidal behavior (Hazard ratio = 0.78; 95% CI = 0.23, 2.67); however, boosters benefited most those initially assigned to MI-SP + Texts. CONCLUSIONS: The current SMART was feasible and acceptable for the purpose of informing an AI for suicidal adolescents, warranting additional study. Findings also indicate that postdischarge text-based support offers a promising augmentation to safety planning delivered during hospitalization.