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We examined whether interindividual differences in naturalistic sleep patterns correlate with any deviations from typical brain aging.Our sample consisted of 251 participants without current psychiatric diagnoses (9-25 years; mean [standard deviation] = 17.4 ± 4.52 yr; 58% female) drawn from the Neuroimaging and Pediatric Sleep Databank. Participants completed a T1-weighted structural magnetic resonance imaging scan and 5-7 days of wrist actigraphy to assess naturalistic sleep patterns (duration, timing, continuity, and regularity). We estimated brain age from extracted structural magnetic resonance imaging indices and calculated brain age gap (estimated brain age-chronological age). Robust regressions tested cross-sectional associations between brain age gap and sleep patterns. Exploratory models investigated moderating effects of age and biological gender and, in a subset of the sample, links between sleep, brain age gap, and depression severity (Patient-Reported Outcomes Measurement Information System Depression).Later sleep timing (midsleep) was associated with more advanced brain aging (larger brain age gap), β = 0.1575, pLater midsleep may be one behavioral cause or correlate of more advanced brain aging, particularly among males. Future studies should examine whether advanced brain aging and individual differences in sleep precede the onset of suboptimal cognitive-emotional outcomes in adolescents.

Early-onset bipolar disorder is among the costliest psychiatric disorders; yet inpatient and outpatient service use patterns in this group are largely unknown. One-year behavioral and medical health service use was examined among adolescents diagnosed as having bipolar disorder, and rates were compared between adolescents with threshold versus subthreshold bipolar disorder.Participants included 100 adolescents (ages 12–18 years, 85% had been assigned female sex at birth) diagnosed as having bipolar disorder (type I, N=14; type II, N=28; not otherwise specified [NOS], N=58) via semistructured interviews and who consented to electronic health record (EHR) data review for enrollment in a psychosocial treatment study. Service use data were extracted in the year preceding study entry from a data repository containing all clinical and financial records (including outpatient and inpatient behavioral and medical visits) from a large western Pennsylvania health system.EHRs indicated that 99% of adolescents used some behavioral health service, most commonly outpatient psychotherapy (60%) and medication management (43%). Use of intensive behavioral health services was common (49%), and 48% had at least one psychotropic medication noted in their EHR. General medical health services were used by 78%, most commonly outpatient (67%) and emergency department (39%) visits. No differences in service use were observed for adolescents with bipolar disorder type I or II compared with NOS for any services or medications examined.High use of behavioral and medical health services among adolescents with bipolar spectrum disorders has important implications for health care systems, insurers, providers, and consumers. Greater coordination of health care for this high-risk, high-use population may improve outcomes.

Identifying proximal risk factors for suicidal ideation that are modifiable and relevant for adolescents and young adults is critical for suicide prevention. This study used an intensive monitoring approach to examine whether objectively- and subjectively- measured sleep characteristics predict next-day suicidal ideation occurrence and intensity through affective reactivity to interpersonal events in young people at high risk for suicide.Participants included 59 (13-23 years; 76% White; 75% female) adolescents and young adults undergoing intensive outpatient program treatment for depression and suicidality. Participants completed daily ratings of suicidal ideation, sleep quality, and affective reactivity to positive and negative interpersonal events for up to 3 months (M = 56 days, SD = 24.13). Actigraphy captured behavioral sleep duration and timing. Multilevel modeling was used to evaluate within-person fluctuations in sleep and affective reactivity as predictors of suicidal ideation, and multilevel mediation tested the indirect effects of sleep on suicidal ideation via affective reactivity to interpersonal events.Results indicate significant indirect effects of objectively measured sleep duration and subjective sleep quality on next-day suicidal ideation via affective reactivity to negative and positive interpersonal events, respectively. Shorter-than-usual sleep predicted the presence and intensity of next-day suicidal ideation via heightened affective reactivity to negative interpersonal events. Worse sleep quality than usual predicted next-day suicidal ideation via reduced affective reactivity to positive interpersonal events.Affectivity reactivity is a proximal mechanism through which sleep indices may influence risk for suicidal thinking on a daily basis. Findings highlight the utility of targeting sleep and emotion regulation in suicide prevention among adolescents and young adults at high-risk for suicide.

Objective: This study investigated binge drinking in college students with and without disabilities and sexual violence (SV). Participants: This analysis includes 2,113 college students recruited from campus health or counseling centers between 2015 and 2017, aged 18-24. Method: Multinomial logistic regression procedures were used to estimate adjusted odds ratios (AOR) for past month binge drinking days (BDD). Results: Among students with disabilities, 68% endorsed SV, compared with 53% of those without disability. Disability was not significantly associated with BDD; SV was significantly associated with BDD (p < .0001). Students with SV, regardless of disability status, had 1.7- to 2.1-fold greater odds of having 4+ past month BDD. Conclusions: While disability alone is not a risk factor for binge drinking, novel findings include that students with disabilities binge drink at similarly high rates to their nondisabled peers, and are at elevated risk for SV, which is closely associated with binge drinking.

BackgroundTo identify prospectively ascertained individual and family factors that are associated with improvement in Bipolar Disorder (BD) among youths who initially presented with poor course.Methods82 youths with BD with persistent poor mood symptomatology ("predominantly ill course") were compared to 70 youths with BD who at intake had poor course, but showed improvement during the follow-up ("ill with improving course"), (ages 12.3±3.3, vs. 11.7±3.3 years old, at intake). Improvement was measured by the percentage of time euthymic during a mean follow-up of 12.8 years. Youths and parents were interviewed to assess psychopathology, functioning, treatment, and familial functioning and psychopathology.ResultsCompared to the ill group, since intake, the improving group showed significantly lower subthreshold depression and hypo/mania, Attention Deficit Hyperactivity Disorder, and Disruptive Behavior Disorders. Parental Socioeconomic Status (SES) remained unchanged over time in the ill group, but progressively increased in the improving group. Importantly, the change in SES predated the improvement in the mood trajectory. The most influential variables that predicted improvement were higher SES, and absence of parental BD and Substance Use Disorder (SUD). Parental SUD also negatively affected the parental SES, which was directly associated with worse mood course.LimitationsPredominantly self-reported White samples may limit generalizability; other factors potentially associated with outcome (e.g., treatment adherence), were not ascertained.ConclusionsIn addition to treating mood/comorbid psychopathology in symptomatic BD youths, to improve their prognosis, it is crucial to address their parent's BD and SUD and promote parental education/employment.

Childhood abuse negatively impacts the course of Bipolar Disorder (BD). Yet, no study has examined risk factors associated with prospectively evaluated physical/sexual abuse, specifically, those preceding first abuse among BD youth. We investigate past/intake/follow-up factors preceding first physical/sexual abuse among BD youth.Childhood-onset BD participants (n = 279 youth, mean age at intake = 12, mean length of follow-up = 12 years) enrolled in the Course and Outcome of Bipolar Youth (COBY) study. Demographic, clinical and family history variables were assessed every 7 months on average using Longitudinal Interval Follow-up Evaluation and Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS-PL). Abuse was evaluated at intake using the K-SADS-PL, over follow-up with a Traumatic Events Screen. Family psychopathology was assessed using Family History Screen/Structured Clinical Interview for Diagnostic Statistical Manual-IV.Fifteen-percent of youth reported new-onset abuse during follow-up (62% physical, 26% sexual; 12% both). Intake predictors included more severe depressive symptoms (HR = 1.29), low socioeconomic-status (SES) in families with substance abuse (HR = 0.84) (physical abuse), and female sex (HR = 2.41) (sexual abuse). Follow-up predictors preceding physical abuse included: older age (HR = 1.42), disruptive disorders (HR = 1.39), and the interaction between low SES and family substance abuse (HR = 0.86). For sexual abuse, female sex (HR = 4.33) and a non-biologically related father presence in the household (HR = 2.76). Good relationships with friends (prospectively evaluated) protected against physical/sexual abuse (HR = 0.72/0.70, respectively).Prospective data was gathered longitudinally but assessed retrospectively at every follow-up; perpetrator information and abuse severity were not available.Identifying factors temporally preceding new onset physical/sexual abuse may hold promise for identifying high-risk youth with BD.

Sleep changes over the human life span, and it does so across multiple dimensions. We used individual-level cross-sectional data to characterize age trends and sex differences in actigraphy and self-report sleep dimensions across the healthy human life span.The Pittsburgh Lifespan Sleep Databank consists of harmonized participant-level data from sleep-related studies conducted at the University of Pittsburgh (2003-2019). We included data from 1065 (n = 577 female; 21 studies) Pittsburgh Lifespan Sleep Databank participants aged 10 to 87 years without a major psychiatric, sleep, or medical condition. All participants completed wrist actigraphy and the self-rated Pittsburgh Sleep Quality Index. Main outcomes included actigraphy and self-report sleep duration, efficiency, and onset/offset timing, and actigraphy variability in midsleep timing.We used generalized additive models to examine potentially nonlinear relationships between age and sleep characteristics and to examine sex differences. Actigraphy and self-report sleep onset time shifted later between ages 10 and 18 years (23:03-24:10 [actigraphy]; 21:58-23:53 [self-report]) and then earlier during the 20s (00:08-23:40 [actigraphy]; 23:50-23:34 [self-report]). Actigraphy and self-report wake-up time also shifted earlier during the mid-20s through late 30s (07:48-06:52 [actigraphy]; 07:40-06:41 [self-report]). Self-report, but not actigraphy, sleep duration declined between ages 10 and 20 years (09:09-07:35). Self-report sleep efficiency decreased over the entire life span (96.12-93.28), as did actigraphy variability (01:54-01:31).Awareness of age trends in multiple sleep dimensions in healthy individuals-and explicating the timing and nature of sex differences in age-related change-can suggest periods of sleep-related risk or resilience and guide intervention efforts.

Background The ability to predict an individual's risk of mood episode recurrence can facilitate personalized medicine in bipolar disorder (BD). We sought to externally validate, in an adult sample, a risk calculator of mood episode recurrence developed in youth/young adults with BD from the Course and Outcome of Bipolar Youth (COBY) study. Methods Adult participants from the National Institute of Mental Health Collaborative Depression Study (CDS; N=258; mean(SD) age=35.5(12.0) years; mean follow-up=24.9 years) were utilized as a sample to validate the youth COBY risk calculator for onset of depressive, manic, or any mood episodes. Results In this older validation sample, the risk calculator predicted recurrence of any episode over 1, 2, 3, or 5-year follow-up intervals, with Area Under the Curves (AUCs) approximating 0.77. The AUC for prediction of depressive episodes was about 0.81 for each of the time windows, which was higher than for manic or hypomanic episodes (AUC=0.72). While the risk calculator was well-calibrated across the range of risk scores, it systematically underestimated risk in the CDS sample by about 20%. The length of current remission was a highly significant predictor of recurrence risk in the CDS sample. Limitations Predominantly self-reported White samples may limit generalizability; the risk calculator does not assess more proximal risk (e.g., 1 month). Conclusions Risk of mood episode recurrence can be predicted with good accuracy in youth and adults with BD in remission. The risk calculators may help identify higher risk BD subgroups for treatment and research.

Offspring of parents with bipolar disorder (BD-I/II) are at increased risk to develop the disorder. Previous work indicates that bipolar spectrum disorder (BPSD) is often preceded by mood/anxiety symptoms. In school-age offspring of parents with BD, we previously built a risk calculator to predict BPSD onset, which generates person-level risk scores. Here, we test whether preschool symptoms predict school-age BPSD risk.We assessed 113 offspring of parents with BD 1-3 times during preschool years (2-5 years old) and then approximately every 2 years for a mean of 10.6 years. We used penalized (lasso) regression with linear mixed models to assess relationships between preschool mood, anxiety, and behavioral symptoms (parent-reported) and school-age predictors of BPSD onset (i.e., risk score, subthreshold manic symptoms, and mood lability), adjusting for demographics and parental symptomatology. Finally, we conducted survival analyses to assess associations between preschool symptoms and school-age onset of BPSD and mood disorder.Of 113 preschool offspring, 33 developed new-onset mood disorder, including 19 with new-onset BPSD. Preschool irritability, sleep problems, and parental factors were lasso-selected predictors of school-age risk scores. After accounting for demographic and parental factors, preschool symptoms were no longer significant. Lasso regressions to predict mood lability and subthreshold manic symptoms yielded similar predictors (irritability, sleep problems, and parental affective lability), but preschool symptoms remained predictive even after adjusting for parental factors (ps .005). Exploratory analyses indicated that preschool irritability univariately predicted new-onset BPSD (p = .02) and mood disorder (p = .02).These results provide initial prospective evidence that, as early as preschool, youth who will develop elevated risk scores, mood lability, and subthreshold manic symptoms are already showing symptomatology; these preschool symptoms also predict new-onset BPSD. While replication of findings in larger samples is warranted, results point to the need for earlier assessment of risk and development of early interventions.

Previous studies demonstrate a link between irritability and suicidal thoughts and behaviors (STBs) in youth samples. However, they have mostly assessed irritability in community samples and as a largely dispositional (i.e., trait-like) construct. Thus, it remains unclear to what extent links between irritability and STBs reflect within-person processes of elevated risk in clinically meaningful time periods. The present study used clinical data from 689 adolescents aged 12 to 19 years attending a total of 6128 visits at a specialty Intensive Outpatient Program for depressed and suicidal youth to examine patterns in weekly assessments of irritability and STBs throughout treatment, including associations among trends and fluctuations departing from these trends. Youth completed validated self-report measures of irritability, depression and STBs weekly as part of standard IOP clinical care. Overall, two-thirds of variance in weekly irritable mood was accounted for by stable between-person differences, and the remaining portion to weekly fluctuations. After controlling for depression, during weeks when youth were more irritable they experienced increased STBs. At the same time, youth who were generally more irritable also tended to experience more STBs. Rates of change in irritability and STBs tended to track together at early stages of treatment, but these effects were generally accounted for by depression severity. Our results suggest that although changes in STBs are best accounted for by depression, irritability can be understood as a specific, proximal risk factor for youth STBs that exacerbates youth STBs in clinically informative timeframes above and beyond depression.

Bipolar disorder (BD) is highly heritable. Identifying objective biomarkers reflecting pathophysiological processes predisposing to, versus protecting against BD, can help identify BD risk in offspring of BD parents. We recruited 21 BD participants with a first-degree relative with BD, 25 offspring of BD parents, 27 offspring of comparison parents with non-BD psychiatric disorders, and 32 healthy offspring of healthy parents. In at-risk groups, 23 had non-BD diagnoses and 29, no Axis-I diagnoses(healthy). Five at-risk offspring who developed BD post scan(Converters) were included. Diffusion imaging(dMRI) analysis with tract segmentation identified between-group differences in the microstructure of prefrontal tracts supporting emotional regulation relevant to BD: forceps minor, anterior thalamic radiation(ATR), cingulum bundle(CB), and uncinate fasciculus(UF). BD participants showed lower fractional anisotropy (FA) in the right CB (anterior portion) than other groups (q q qs qs qs

To build a one-year risk calculator (RC) to predict individualized risk for suicide attempt in early-onset bipolar disorder.Youth numbering 394 with bipolar disorder who completed ≥2 follow-up assessments (median follow-up length = 13.1 years) in the longitudinal Course and Outcome of Bipolar Youth (COBY) study were included. Suicide attempt over follow-up was assessed via the A-LIFE Self-Injurious/Suicidal Behavior scale. Predictors from the literature on suicidal behavior in bipolar disorder that are readily assessed in clinical practice were selected and trichotomized as appropriate (presence past 6 months/lifetime history only/no lifetime history). The RC was trained via boosted multinomial classification trees; predictions were calibrated via Platt scaling. Half of the sample was used to train, and the other half to independently test the RC.There were 249 suicide attempts among 106 individuals. Ten predictors accounted for90% of the cross-validated relative influence in the model (AUC = 0.82; in order of relative influence): (1) age of mood disorder onset; (2) non-suicidal self-injurious behavior (trichotomized); (3) current age; (4) psychosis (trichotomized); (5) socioeconomic status; (6) most severe depressive symptoms in past 6 months (trichotomized none/subthreshold/threshold); (7) history of suicide attempt (trichotomized); (8) family history of suicidal behavior; (9) substance use disorder (trichotomized); (10) lifetime history of physical/sexual abuse. For all trichotomized variables, presence in the past 6 months reliably predicted higher risk than lifetime history.This RC holds promise as a clinical and research tool for prospective identification of individualized high-risk periods for suicide attempt in early-onset bipolar disorder.

OBJECTIVE: College counseling centers (CCCs) have limited capacity to accommodate high-risk students who need more intensive care than traditional outpatient treatment. We describe an Intensive Outpatient Program (IOP) to meet the specialized needs of suicidal undergraduates. PARTICIPANTS: Suicidal undergraduates aged 18–24. METHODS: Fact-gathering meetings with local universities confirmed high need for prompt access to IOP care for students presenting in crisis at CCCs and emergency rooms, and post-inpatient discharge. We thus iteratively designed and implemented the College Option Services for Teens at Risk (CO-STAR) IOP. RESULTS: The 6-week program includes initial diagnostic evaluation and risk assessment followed by weekly skills groups, individual therapy, and medication management. Between September 2017 and January 2020, 148 students (M age=19.7) attended an average of 5.7 CO-STAR group sessions (SD=4.7). CONCLUSIONS: A specialty IOP for suicidal college students holds promise in a stepped care approach for at-risk college students.

Dialectical behavior therapy (DBT) and motivational interviewing (MI) are two widely used and efficacious psychosocial interventions. An immense and growing number of studies examine DBT, MI, or adaptations of these approaches across diverse treatment contexts and across various clinical populations. Because DBT and MI are in high demand, it is probable that trainees and established practitioners will encounter one or both treatments over the course of their careers. Although MI and DBT initially evolved in distinct contexts for different populations, these approaches share a number of common fundamental principles. Each provides distinct and complementary strategies for enhancing clients’ motivation and ability to change. For some, an integrative or sequenced application of MI and DBT may enhance client care. The present article highlights areas of divergence, convergence, and opportunities for integration, and offers practical tips for applying DBT and MI in conjunction.

Background Prevention of suicide in individuals with early-onset bipolar disorder (BD) remains a challenge. Diffusion magnetic resonance imaging studies in BD have identified neural correlates of emotional dysregulation implicated in BD and suicide. Using diffusion magnetic resonance imaging, we sought to identify neural signatures of suicide attempts in adults with childhood-onset BD who have been clinically followed for up to 19 years as part of the COBY (Course and Outcome of Bipolar Youth) study. Methods Diffusion magnetic resonance imaging data were collected in 68 adults with BD: 20 in the suicide attempter (SA+) group and 48 in the non–suicide attempter (SA−) group. Multivariate analysis of covariance was used to identify the effect of group (SA+, SA−) on mean fractional anisotropy (indirect index of fiber collinearity) in key white matter tracts of emotional regulation. The effect of suicidal ideation and other clinical factors was further explored. False discovery rate was used to account for multiple comparison. Forty healthy control subjects were included. Results Analyses revealed a main effect of group on fractional anisotropy (F5,59 = 3.0, p = .017). Specifically, the SA+ group showed lower fractional anisotropy than the SA− and healthy control groups in the middle portion of the forceps minor (FMIN) (F1,63 = 8.5, p = .010) and in the anterior (F1,63 = 7.8, p = .010) and posterior (F1,63 = 8.7, p = .006) portion of the right cingulum bundle (CB). Abnormalities in the FMIN, but not CB, were also associated with suicidal ideation (F1,64 = 10.6, p = .002) and levels of emotional distress at scan. Conclusions FMIN and CB abnormalities have been associated with emotional dysregulation in BD. Our findings suggest that the FMIN may represent a generic marker of suicidal ideation and, more broadly, emotional distress, while CB may represent a specific marker of attempted suicide.

Despite a plethora of research, the link between digital-technology use and psychological distress among young adults remains inconclusive. Findings in this area are typically undermined by methodological limitations related to measurement, study design, and statistical analysis. Addressing these limitations, we examined the prospective, within-persons associations between three aspects of objectively measured digital-technology use (duration and frequency of smartphone use, duration of social-media use) and three aspects of psychological distress (depression, anxiety, and social isolation) among a sample of young adults ( N = 384). Across 81 different model specifications, we found that most within-persons prospective effects between digital-technology use and psychological distress were statistically nonsignificant, and all were very small—even the largest effects were unlikely to register a meaningful impact on a person’s psychological distress. In post hoc subgroup analyses, we found scant evidence for the claim that digital-technology use is more harmful for women and/or younger people.

PURPOSE OF REVIEW: Suicide is currently the second leading cause of death among youth. Identification of modifiable near-term risk factors can inform suicide prevention strategies. One promising, readily assessed factor is sleep. We critically review the literature on sleep and suicidal thoughts and behaviors among youth. RECENT FINDINGS: Most studies examining the youth sleep-suicidality relationship are from epidemiological samples in which both sleep problems and suicidality were assessed over variable timeframes using limited items from scales not designed to measure these constructs. Nonetheless, these data overwhelmingly support an association between suicidality and a range of sleep difficulties (e.g., insomnia, short/long sleep, weekend oversleep), above and beyond depressive symptoms. Limited studies include clinical samples or prospective designs. We review potential mechanisms and present a developmentally-informed integrative model. SUMMARY: Literature supports a clear association between sleep difficulties and youth suicidality. Future directions include prospective longitudinal studies and targeted prevention efforts.

Background Research suggests that the disruptions introduced by the COVID-19 pandemic have led to increased psychological distress and time spent on digital technology among young people, thus intensifying pre-pandemic concerns regarding the putative effects of digital technology use on mental health. To robustly examine whether increases in digital technology use are associated with increases in psychological distress during the pandemic it is crucial to (1) collect objective data on digital technology use and (2) account for potential confounding caused by pandemic-related stressors. Methods We conducted a four-wave panel study of U.S. young adults (N=384; Mage = 24.5 ± 5.1; 57% female) from August-November of 2020. Participants provided screenshots of their iPhone “Screen Time” application and completed measures assessing current mental health status (depression, anxiety, and suicidal ideation) and pandemic-related impacts on well-being. We used random-intercept multilevel models to examine the within- and between-person associations between mental health, objective digital technology use, and pandemic-related stressors. Results Multilevel analyses revealed that none of the objectively-measured digital technology use variables were positively associated with depression, anxiety, or suicidal ideation at the within- or between-person levels. In contrast, pandemic-related impacts on mental health had by far the largest effects on depression, anxiety, and suicidal ideation. Limitations The convenience-based sample and use of single-item measures of pandemic-related impacts are limitations of the study. Conclusions Current speculations about the direct harms of digital technology use on mental health may be unfounded and risk diverting attention from a more likely cause: pandemic-related distress.

BackgroundExposure to severe Traumatic Events (TEs) has been associated with poor course and outcomes among individuals with Bipolar Disorder (BD). However, there is limited research on TEs among youth with BD, and few studies are longitudinal. This study prospectively followed a large sample of BD youth, examining the associations of lifetime TEs with their mood and functioning.MethodsBD participants (n=375; mean age=17; range 8-25y) were assessed, on average, every 7 months for a median 8.7 years. Psychopathology and lifetime trauma history were prospectively evaluated using the Longitudinal Interval Follow-Up Evaluation, and a traumatic events screening.ResultsAccounting for covariates, participants with one or more lifetime TEs (84%) showed earlier BD onset, poorer psychosocial functioning, worse mood symptoms, and more suicidal ideation, comorbidities, and family psychopathology than those without TEs. TEs during recovery periods increased recurrence risk (p

Studies have established a clear relationship between subjective sleep problems and the continuum of suicidality in adolescents. These studies are primarily cross-sectional in nature and conducted with epidemiological and depressed clinical samples. More recent studies focus on prospective data. Herein, we provide an update on current studies on the sleep-suicide association among youth. To further the critical mission of youth suicide prevention, future directions include more nuanced study of sleep employing a sleep health framework, longitudinal studies employing both objective and subjective sleep measures, fine-grained temporal associations between these constructs and their fluctuations over time, as well as enhanced understanding of the mechanisms underlying these associations.

Objectives Compare longitudinal trajectories of youth with Diagnostic and Statistical Manual of Mental Disorders (DSM)-IV Bipolar Disorder (BD), grouped at baseline by presence/absence of increased energy during their worst lifetime mood episode (required for DSM-5). Methods Participants from the parent Course and Outcome of Bipolar Youth study (N = 446) were assessed utilizing The Schedule for Affective Disorders and Schizophrenia for School-Age Children (KSADS), KSADS Mania Rating Scale (KMRS), and KSADS Depression Rating Scale (KDRS). Youth were grouped at baseline into those with increased energy (meeting DSM-5 Criteria A for mania) vs. without increased energy (meeting DSM-IV, but not DSM-5, Criteria A for mania), for those who had worst lifetime mood episode recorded (n = 430). Youth with available longitudinal data had the presence/absence of increased energy measured, as well as psychiatric symptomatology/clinical outcomes (evaluated via the Adolescent Longitudinal Interval Follow-Up Evaluation), at each follow-up for 12.5 years (n = 398). Results At baseline, the increased energy group (based on endorsed increased energy during worst lifetime mood episode; 86% of participants) vs. the without increased energy group, were more likely to meet criteria for BD-I and BD Not Otherwise Specified, had higher KMRS/KDRS total scores, and displayed poorer family/global psychosocial functioning. However, frequency of increased energy between groups was comparable after 5 years, and no significant group differences were found on clinical/psychosocial functioning outcomes after 12.5 years. Limitations Secondary data limited study design; groupings were based on one time point. Conclusions Results indicate no clinically relevant longitudinal group differences.

BACKGROUND: Youth with bipolar disorder (BP) exhibit poor medication adherence, contributing to affective recurrence. Brief Motivational Interventions (BMIs) improve adherence among adolescents with chronic conditions. METHODS: In an open pilot series, we developed a 3-session BMI for BP adolescents targeting medication adherence and conducted a pilot randomized trial comparing Standard Care (SC) versus SC+BMI. Participants include 43 adolescents with BP prescribed psychotropic medications. We assessed medication adherence objectively via bluetooth-enabled electronic pillbox (MedTracker). A blinded evaluator assessed mood symptoms at intake, 3- and 6-months. RESULTS: The BMI was well-received. Average objective medication adherence increased with time in SC+BMI, but decreased in SC-Alone (p

Young adults with chronic mood and anxiety disorders may receive a range of services in pediatric care (eg, psychiatry, therapy) and within the school system (eg, individualized education plans). Such services rely on the involvement of parents or guardians to support youth (eg, attending appointments, administering medications). However, in college, young adults are often on their own and need to assume responsibility for scheduling appointments, obtaining and taking medications, and seeking out additional services (eg, accommodations). Unfortunately, many young adults may not have developed the skills needed to navigate campus and health care systems effectively, which can often lead to dire consequences. Adding to these difficulties are the high rates of depression and suicidal ideation observed in today's college students. Many students need intermediate levels of care to stay in school successfully, although not all have the maturity and skills to navigate health care without a transition plan. To address the needs of young adults transitioning out of pediatric mental health care, we developed a brief group intervention delivered to young adults and their parents during the 6 months before college or transition to living independently in the community. The transition group program structured sessions focused on scaffolding knowledge about one's own skills (and deficits) related to independent living, successful transition to college or community, and ability to independently manage a chronic mental health disorder. All young adults and parents reported that they would recommend or strongly recommend the group to a friend, and the majority found the group to be acceptable with regard to length and frequency. For both young adults and parents, the future outlook also improved from pregroup to postgroup.

This article presents a qualitative investigation of the perspectives and experiences of recovery from borderline personality disorder from six individuals who were treated with comprehensive dialectical behavior therapy. Data were collected via semi-structured interviews, transcribed, and coded using a six-step analysis process. Six primary themes emerged: (1) belief about recovery, (2) current experience of self, (3) facets of recovery, (4) motivating factors, (5) external supports to recovery, and (6) characteristics required for recovery. Overall, the findings took a dialectical form in which participants often described conflicting experiences (e.g., feeling recovered while also continuing to experience heightened emotional sensitivity). We conclude that the themes presented in this article represent broad domains related to the meaning of recovery from BPD, and recognize that the relative importance of each domain is best determined by the individual.

Despite a plethora of research, the link between digital technology use and psychological distress among young adults remains inconclusive. Findings in this area are typically undermined by methodological limitations related to measurement, study design, and statistical analysis. Addressing these limitations, we examined the prospective, within-person associations between three aspects of objectively-measured digital technology use (smartphone use duration and frequency; social media use duration) and three aspects of psychological distress (depression, anxiety, and social isolation) among a sample of young adults (N = 384). Across 81 different model specifications, we found that most within-person prospective effects be-tween digital technology use and psychological distress were statistically non-significant and all were very small—even the largest effects were unlikely to register a meaningful impact on a person’s psychological distress. In post hoc subgroup analyses, we found scant evidence for the claim that digital technology use is more harmful for women and/or younger people.

Objective Sleep disturbance may be involved in symptom progression across multiple domains of psychopathology and could represent a target for treatment development in youth. Our objective was to identify sleep patterns that longitudinally change in conjunction with psychiatric symptom severity in at-risk youth. Method The study included 484 Pittsburgh Bipolar Offspring Study (BIOS) youth with at least 2 sleep assessments occurring between 10 and 18 years of age: 267 offspring of parents with bipolar I or II disorder and 217 community comparison offspring. Assessments occurred approximately every 2 years (mean number of assessments, 2.8 ± 0.8; mean follow-up duration, 3.8 ± 1.6 years). Offspring had a range of psychiatric diagnoses at baseline. Multivariate lasso regression was implemented to select offspring-reported sleep patterns associated with changes in five psychiatric symptom measures from baseline through last follow-up (mania, depression, mood lability, anxiety, inattention/externalizing). Analyses accounted for parent psychiatric diagnoses and offspring demographics, psychiatric diagnoses, and medications. Results Follow-up duration, baseline socioeconomic status, parental history of bipolar disorder, offspring attention-deficit/hyperactivity disorder, and disruptive behavior disorder, and five sleep patterns were identified as predictors of change in all five psychiatric symptom measures. Decreasing sleep duration, later sleep timing preference, longer sleep latency, increasing nighttime awakenings, and greater sleepiness over follow-up were associated with increasing severity the five psychiatric symptom outcomes over follow-up. These 10 predictors explained 16% of the variance in longitudinal psychiatric symptom change, 33% of which was accounted for by sleep predictors. Conclusion A constellation of sleep features were associated with psychiatric symptom changes in youth, and may represent viable targets for future interventions.

Background Early detection of Bipolar Disorder (BD) is critical for targeting interventions to delay or prevent illness onset. Yet, the absence of objective BD biomarkers makes accurately identifying at-risk youth difficult. In this study, we examined how relationships between white matter tract (WMT) structure and activity in emotion processing neural circuitry differentiate youth at risk for BD from youth at risk for other psychiatric disorders. Methods Offspring (ages 8–17) of parents with BD (OBP, n = 32), offspring of comparison parents with non-BD psychopathology (OCP, n = 30), and offspring of healthy parents (OHP, n = 24) underwent diffusion tensor and functional magnetic resonance imaging while performing an emotional face processing task. Penalized and multiple regression analyses included GROUP(OBP,OCP)xWMT interactions as main independent variables, and emotion processing activity as dependent variables, to determine significant group differences in WMT-activity relationships. Results 8 GROUPxWMT interaction variables contributed to 16.5% of the variance in amygdala and prefrontal cortical activity to happy faces. Of these, significant group differences in slopes (inverse for OBP, positive for OCP) existed for the relationship between forceps minor radial diffusivity and rostral anterior cingulate activity (p = 0.014). Slopes remained significantly different in unmedicated youth without psychiatric disorders (p = 0.017) and were moderated by affective lability symptoms (F(1,29) = 5.566, p = 0.036). Limitations Relatively small sample sizes were included. Conclusions Forceps minor radial diffusivity-rostral anterior cingulate activity relationships may reflect underlying neuropathological processes that contribute to affectively labile youth at risk for BD and may help differentiate them from youth at risk for other psychiatric disorders.

Background Many adolescents with depression do not pursue mental health treatment following a health care provider referral. We developed a theory-based automated SMS text message intervention (Text to Connect [T2C]) that attempts to reduce cognitive barriers to the initiation of mental health care. Objective In this two-phase study, we seek to first understand the potential of T2C and then test its engagement, usability, and potential efficacy among adolescents with depression and their parents or caregivers. Methods In phase 1, we conducted focus groups with adolescents with depression (n=9) and their parents or caregivers (n=9) separately, and transcripts were examined to determine themes. In phase 2, we conducted an open trial of T2C comprising adolescents with depression referred to mental health care (n=43) and their parents or caregivers (n=28). We assessed usability by examining program engagement, usability ratings, and qualitative feedback at the 4-week follow-up. We also assessed potential effectiveness by examining changes in perceived barriers to treatment and mental health care initiation from baseline to 4 weeks. Results In phase 1, we found that the themes supported the T2C approach. In phase 2, we observed high engagement with daily negative affect check-ins, high usability ratings, and decreased self-reported barriers to mental health treatment over time among adolescents. Overall, 52% (22/42) of the adolescents who completed follow-up reported that they had attended an appointment with a mental health care specialist. Of the 20 adolescents who had not attended a mental health care appointment, 5% (1/20) reported that it was scheduled for a future date, 10% (2/20) reported that the primary care site did not have the ability to help them schedule a mental health care appointment, and 15% (3/20) reported that they were no longer interested in receiving mental health care. Conclusions The findings from this study suggest that T2C is acceptable to adolescents with depression and most parents or caregivers; it is used at high rates; and it may be helpful to reduce cognitive barriers to mental health care initiation.

Study Objectives Structural brain maturation and sleep are complex processes that exhibit significant changes over adolescence and are linked to many physical and mental health outcomes. We investigated whether sleep–gray matter relationships are developmentally invariant (i.e. stable across age) or developmentally specific (i.e. only present during discrete time windows) from late childhood through young adulthood. Methods We constructed the Neuroimaging and Pediatric Sleep Databank from eight research studies conducted at the University of Pittsburgh (2009–2020). Participants completed a T1-weighted structural MRI scan (sMRI) and 5–7 days of wrist actigraphy to assess naturalistic sleep. The final analytic sample consisted of 225 participants without current psychiatric diagnoses (9–25 years). We extracted cortical thickness and subcortical volumes from sMRI. Sleep patterns (duration, timing, continuity, regularity) were estimated from wrist actigraphy. Using regularized regression, we examined cross-sectional associations between sMRI measures and sleep patterns, as well as the effects of age, sex, and their interaction with sMRI measures on sleep. Results Shorter sleep duration, later sleep timing, and poorer sleep continuity were associated with thinner cortex and altered subcortical volumes in diverse brain regions across adolescence. In a discrete subset of regions (e.g. posterior cingulate), thinner cortex was associated with these sleep patterns from late childhood through early-to-mid adolescence but not in late adolescence and young adulthood. Conclusions In childhood and adolescence, developmentally invariant and developmentally specific associations exist between sleep patterns and gray matter structure, across brain regions linked to sensory, cognitive, and emotional processes. Sleep intervention during specific developmental periods could potentially promote healthier neurodevelopmental outcomes.

Background Pediatric bipolar disorders are often characterized by disruptions in cognitive functioning, and exposure to child maltreatment (e.g., physical and sexual abuse) is associated with a significantly poorer course of illness. Although clinical and developmental research has shown maltreatment to be robustly associated with poorer cognitive functioning, it is unclear whether maltreatment and cognitive function jointly influence the clinical course of bipolar symptoms. Methods This secondary analysis examined moderating effects of lifetime childhood physical and sexual abuse, and cognitive disruptions (sustained attention, affective information processing), on longitudinal ratings of depression symptom severity in youths from the Course and Outcome of Bipolar Youth (COBY) study, examined from intake (M = 12.24 years) through age 22 (N = 198; 43.9% female; Mean age of bipolar onset = 8.85 years). Results A significant moderating effect was detected for sustained attention and maltreatment history. In the context of lower sustained attention, maltreatment exposure was associated with higher depression symptom severity during childhood, but not late adolescence. There was no association between maltreatment and symptom severity in the context of higher sustained attention, and no association between attention and depression symptom severity for non-maltreated youths. Limitations Depression symptom ratings at each assessment were subject to retrospective recall bias despite the longitudinal design. Cognitive assessments were administered at different ages across youths. Conclusions Depressive symptoms in pediatric bipolar may be jointly moderated by impairments in attention and exposure to maltreatment. Assessment of these risks, particularly in childhood, may be beneficial for considering risk of recurrence or chronicity of depressive symptoms.

ImportanceStructural brain maturation and sleep are complex processes that exhibit significant changes over adolescence and are linked to healthy physical and mental development. The precise timing and magnitude of these changes influence function throughout the lifespan. However, the relationships between gray matter structure and sleep patterns during adolescence are not fully understood. A detailed characterization of brain-sleep associations during this sensitive period is crucial for understanding factors contributing to optimal neurodevelopmental trajectories in adolescence.ObjectiveTo investigate whether sleep-gray matter relationships are developmentally-invariant (i.e., stable across age) or developmentally-specific (i.e., only present during discrete time windows) from late childhood through young adulthood.SettingThe Neuroimaging and Pediatric Sleep Databank was constructed from 8 research studies conducted at the University of Pittsburgh between 2009 and 2020.ParticipantsThe final sample consisted of 240 participants without current psychiatric diagnoses (9-25 years), and with good quality sleep tracking and structural MRI (sMRI) data.DesignParticipants completed a sMRI scan and 5-7 days of wrist actigraphy to assess naturalistic sleep. We examined cross-sectional associations between sMRI measures and sleep patterns, as well as the effects of age, sex, and their interaction with sMRI measures on sleep.Main Outcome(s) and Measure(s)Using Freesurfer software, we extracted cortical thickness and subcortical volumes from T1-weighted MRI. Sleep patterns (duration, timing, continuity, regularity) were estimated from wrist actigraphy.ResultsShorter sleep duration, later sleep timing, and poorer sleep continuity were associated with a stable pattern of thinner cortex and altered subcortical volumes in diverse brain regions across adolescence. In a discrete subset of regions (e.g., posterior cingulate), thinner cortex was associated with these sleep patterns from late childhood through early-to-mid adolescence, but not in late adolescence and young adulthood.Conclusions and RelevanceIn childhood and adolescence, developmentally-invariant and developmentally-specific associations exist between sleep patterns and gray matter structure, in a wide array of brain regions linked to many sensory, cognitive, and emotional processes. Sleep intervention during specific developmental periods could potentially promote healthier neurodevelopmental outcomes.KEY POINTSQuestionDoes age modulate associations between gray matter structure and actigraphic sleep patterns across adolescent development?FindingsThis cross-sectional study reports stable associations between regional gray matter structure and shorter duration, later timing, and poorer continuity of sleep from ages 9 to 25 years-old, as well as developmentally-specific associations that are present only from late childhood to early-to-mid adolescence.MeaningStronger coupling of gray matter and sleep patterns from late childhood to early-to-mid adolescence potentially implicates this discrete developmental window as a period of vulnerability to adverse sleep-brain interactions. Sleep intervention during this developmental stage may support healthier neurodevelopmental trajectories.

BackgroundYouth with bipolar disorder (BD) are at high risk for suicidal thoughts and behaviors and frequently experience interpersonal impairment, which is a risk factor for suicide. Yet, no study to date has examined the longitudinal associations between relationship quality in family/peer domains and suicidal thoughts and behaviors among youth with BD. Thus, we investigated how between-person differences - reflecting the average relationship quality across time - and within-person changes, reflecting recent fluctuations in relationship quality, act as distal and/or proximal risk factors for suicidal ideation (SI) and suicide attempts.MethodsWe used longitudinal data from the Course and Outcome of Bipolar Youth Study (N=413). Relationship quality variables were decomposed into stable (i.e., average) and varying (i.e., recent) components and entered, along with major clinical covariates, into separate Bayesian multilevel models predicting SI and suicide attempt. We also examined how the relationship quality effects interacted with age and sex.ResultsPoorer average relationship quality with parents (β=-.33, 95% Bayesian highest density interval (HDI) [-0.54, -0.11]) or friends (β=-.33, 95% HDI [-0.55, -0.11]) was longitudinally associated with increased risk of SI but not suicide attempt. Worsening recent relationship quality with parents (β=-.10, 95% HDI [-0.19, -0.03]) and, to a lesser extent, friends (β=-.06, 95% HDI [-0.15, 0.03]) was longitudinally associated with increased risk of SI, but only worsening recent relationship quality with parents was also associated with increased risk of suicide attempt (β=-.15, 95% HDI [-0.31, 0.01]). The effects of certain relationship quality variables were moderated by gender but not age.ConclusionsAmong youth with BD, having poorer average relationship quality with peers and/or parents represents a distal risk factor for SI but not suicide attempts. Additionally, worsening recent relationship quality with parents may be a time-sensitive indicator of increased risk for SI or suicide attempt.

OBJECTIVES While adults with bipolar disorder (BD) often report symptoms starting in childhood, continuity of mania and/or hypomania (mania/hypomania) from childhood to adulthood has been questioned. Using longitudinal data from the Course and Outcome of Bipolar Youth (COBY) study, we assessed threshold mania/hypomania in young adults who manifested BD as youth. METHODS COBY is a naturalistic, longitudinal study of 446 youth with BD (84% recruited from outpatient clinics), 7-17 years old at intake, and over 11 years of follow-up. Focusing on youth with BD-I/II (n = 297), we examined adult mania/hypomania risk (>18 years old; mean 7.9 years of follow-up) according to child (

OBJECTIVE Despite substantial literature on sex differences in adults with bipolar disorder (BD), little is known about this topic in youth; this study examines sex differences in mood symptomatology and psychiatric comorbidity in prospectively followed youth with BD. METHODS A subsample of the Course and Outcome of Bipolar Youth study (N = 370; female n = 199, male n = 171) enrolled October 2000-July 2006 (age at intake = 7-17.11 years) who met DSM-IV criteria for bipolar I disorder (BD-I; n = 221), bipolar II disorder (BD-II; n = 26), or operationalized BD not otherwise specified (BD-NOS; n = 123) with ≥ 4 years follow-up was included. Analyses examined sex differences at intake and, prospectively, in mood symptomatology and psychiatric comorbidity for a mean ± SD follow-up of 10.5 ± 1.72 years. RESULTS Females were older than males at intake (mean ± SD age = 13.33 ± 3.32 vs 12.04 ± 3.16 years; P = .0002) and at age at mood onset (9.33 ± 4.22 vs 7.53 ± 3.74 years; P < .0001). After adjustment for confounders, males spent more time with syndromal ADHD (Padjusted = .001) and females spent more time with syndromal anxiety (Padjusted = .02). There were trends toward males spending more time with substance use disorder and females having more non-suicidal self-injurious behavior (Padjusted = .07 and .09, respectively). There were no sex differences on outcome variables, including rate of or time to recovery and recurrence. CONCLUSIONS Contrasting with adult literature, this study identified minimal sex differences in the course of youth with BD. Longer-term studies are needed to clarify if youth-onset BD remains a "sex neutral" subtype of BD or diverges according to sex in adulthood.

ObjectiveLithium is the mainstay for bipolar disorder (BD) treatment in adults, but evidence in youths is limited. We used data from the Course and Outcome of Bipolar Youth (COBY) study to assess whether lithium vs other mood-stabilizing medication (OMS) was associated with improved outcomes, including mood symptoms and suicidality.MethodCOBY is a naturalistic, longitudinal study of 413 youths, 7 to 17.11 years old at intake, with BD. At each visit, medication exposure, psychiatric symptoms, and psychosocial function over the preceding follow-up period were assessed using the Adolescent Longitudinal Interval Follow-Up Evaluation. Using mixed models, we determined whether participants taking lithium vs OMS (but not lithium) differed regarding mood symptoms, suicidality, psychosocial function, hospitalization, aggression, and substance use.ResultsA total of 340 participants contributed 2,638 six-month follow-up periods (886 lithium, 1,752 OMS), over a mean follow-up of 10 years. During lithium (vs OMS) follow-up periods, participants were older, less likely to have lifetime anxiety, and less likely to be on antidepressants (p values

Objective To compare the prevalence of psychopathology, particularly bipolar disorder (BD), between preschool offspring of parents with BD and community controls. Method A total of 116 offspring of BD-I/II parents and 98 controls (53 parents with non-BD psychopathology and 45 healthy parents) were recruited at ages 2 to 5 years and followed on average 9.6 years (on average: 2−5: 1.6 times; after age 5: 4 times) (average ages at intake/last follow-up: 3.8/13.4, retention: 98%). Participants were evaluated with standardized instruments blinded to parental diagnoses. Results After adjusting for confounders, offspring of BD parents only showed more attention-deficit/hyperactivity disorder (ADHD) during ages 2 to 5 years than the other 2 groups. After age 5, offspring of BD parents did not differ from offspring of parents with non-BD psychopathology, but they had more anxiety, ADHD, and behavior problems than offspring of healthy parents. Only offspring of BD parents developed BD-I/II: 3.4% (n = 4) and BD−not-otherwise-specified (BD-NOS): 11.2% (n = 13), with mean onset ages 11.4 and 7.4, respectively. About 70% of offspring with BD had non-BD disorders before BD. Only ADHD, diagnosed before age 6 years, and early-onset parental BD were significantly associated with BD risk. Conclusion Most offspring of BD parents did not develop BD, but they were at specific high risk for developing BD, particularly those with preschool ADHD and early-onset parental BD. BD symptoms were scarce during the preschool years and increased throughout the school age, mainly in the form of BD-NOS, a disorder that conveys poor prognosis and high risk to develop BD-I/II. Developing early interventions to delay or, ideally, to prevent its onset are warranted.

ObjectivesFew studies have examined domain-specific psychosocial functioning in Bipolar Disorder (BD) youths. This prospective study examines (1) Interpersonal Relationships with Family; (2) Interpersonal Relationships with Friends; (3) School/Work; (4) Recreation; (5) Life Satisfaction, in BD youths.MethodA Course and Outcome of Bipolar Youth subsample (n=367; mean intake age=12.6years, SD=3.3; 46.6% female) was previously grouped into 4 Classes based on their illness trajectories and percentage of time euthymic using Latent Class Growth Analysis: Class 1 Predominantly Euthymic; Class 2 Moderately Euthymic; Class 3 Ill with Improving Course; Class 4 Predominantly Ill. Psychosocial functioning within the domains were examined for greater than 10 years using the Adolescent Longitudinal Interval Follow-Up Evaluation.ResultsClass 1 demonstrated better functioning across all domains; Class 4 demonstrated worse functioning across all domains. Class 2 showed worsening relationships and recreation, and improvement in work/schoolwork. Class 3 showed variable domain declines and improvements. Despite symptomatic remission, 13%-20% of Class 1 and 20-47% of Classes 1/3 still had impairments across different domains. Early age of BD onset impacted impairment across most domains, and low SES significantly predicted impairment in family relationships.LimitationsThe study does not have a healthy control group to compare functioning findings.ConclusionsParticipants with more symptomatic mood trajectories had greater impairment across domains. Moreover, even with symptomatic remission, participants still exhibited impairment. Each Class and domain had different trajectories for impairment. Results suggest the importance of examining specific (vs. global) domains for targeted treatment, even when symptomatically remitted.

Background: In youth at familial risk for bipolar disorder (BD), mood lability is an important precursor to BD onset. Previous work in adults indicates that mindfulness-based interventions (MBI) may improve emotion regulation, in part by increasing resting-state functional connectivity (rsFC) between posterior cingulate cortex (PCC) and executive control network (ECN). In this pilot study, we assessed effects of an MBI on PCC-ECN rsFC and mood lability in at-risk youth. Methods: We recruited 35 youth (10–14 years old) with a first-degree family history of BD and mood lability, and 21 age-matched healthy controls. Eligible at-risk youth were scanned pre/post an 8-week MBI and assessed three months later. Healthy controls were scanned at matched timepoints but did not participate in the MBI. The MBI used age-appropriate strategies to promote non-judgmental, present-moment awareness. We assessed pre/post changes in PCC-ECN rsFC and how rsFC changes were related to mood outcomes. Results: Twenty at-risk youth were scanned pre/post MBI; 16 had high-quality rsFC data. Following MBI, at-risk youth showed increased rsFC between PCC and left dorsolateral prefrontal cortex (DLPFC) (BA 9; k = 28; corrected p=.006); healthy controls did not show this increase. Following MBI, at-risk youth reported more mindfulness (F = 7.15, p=.003), less mood lability (F = 7.2, p=.002), and less suppression of negative emotions (F = 5.05, p=.01). PCC-DLPFC rsFC increases predicted less mood lability (t=−2.25, p=.04) and less emotion suppression (t=−2.75, p=.02) at follow-up. Limitations: Small sample and lack of a control intervention. Conclusions: PCC-DLPFC rsFC may be a clinically meaningful neural target of an MBI in at-risk youth, related to improvements in mood lability.

Objective:The authors report on a pilot study of an inpatient intervention for suicidal adolescents, As Safe as Possible (ASAP), supported by a smartphone app (BRITE) to reduce suicide attempts fol...

Objectives To compare the longitudinal clinical course of youths with bipolar disorder (BD) spectrum with lifetime (past, intake, and/or follow-up) psychosis (BDP+) to youths with BD without lifetime psychosis (BDP-). Also, to identify risk factors associated with increased risk of first onset of psychosis during prospective follow-up. Method Bipolar disorder youths (BDP+ = 137, BDP- = 233), aged 7-17 years old, were followed on average every 7 months for 11.7 years and were evaluated using standardized instruments. Data were analyzed using linear and generalized linear models for the full sample, as well as for youths who developed first period of psychosis (n = 55). Results After adjusting for confounders, BDP+ youths with one, and in particular ≥2 lifetime psychotic episodes, had higher rates and more severe mood and anxiety symptoms, higher rates of suicidality, psychiatric hospitalizations, and sexual/physical abuse, and poorer psychosocial functioning than BDP- youths. Even before the first onset of psychosis during follow-up, BDP+ youths showed more psychopathology and had more family history of psychiatric illness than those who never developed psychosis. First-onset psychosis was associated with low socioeconomic status (SES), living with one parent, bipolar disorder type one and type two, comorbid anxiety, history of hospitalizations, and family history of mania and suicidality. Conclusion BDP+ is associated with poor prognosis and worse clinical picture, even before the onset of psychosis, indicating the need for prompt identification and treatment of these youths. Studies aimed to treat acute symptoms of psychosis, as well as prevent the onset of psychosis, including risk factors amenable to change, are warranted.

Objective Theoretical models posit that stressors contribute to the onset and maintenance of bipolar disorder in adolescence through disruptions in stress physiology, but physiological response to stressors has not been evaluated in adolescents with bipolar illness. The present study tests the hypothesis that adolescents with bipolar disorder will have greater reactivity to a laboratory social stress task than healthy adolescents. Method Adolescents with bipolar illness (n = 27) and healthy adolescents (n = 28) completed a modified version of the Trier Social Stress Task. Stress response was assessed using high frequency heart rate variability (HF-HRV), heart rate (HR), mean arterial blood pressure (MAP), salivary cortisol, and subjective stress. Multilevel models were used to test for group differences in resting-state physiology, and stress reactivity and recovery. Results Adolescents with bipolar disorder had greater reactivity in HF-HRV (z = 3.32), but blunted reactivity in MAP (z = −3.08) and cortisol (z = −2.60), during the stressor compared to healthy adolescents. They also had lower resting HF-HRV (z = −3.49) and cortisol (z = −2.86), and higher resting HR (z = 3.56), than healthy adolescents. Conclusions These results indicate that bipolar disorder is associated with disruptions in autonomic and endocrine response to stress during adolescence, including greater HF-HRV reactivity. Further research should evaluate whether these individual differences in stress physiology precede and predict the onset of mood episodes.

Background The transition from high school to college can exacerbate mental health problems in young adults yet barriers prevent seamless mental health care. Existing digital support tools show promise but are not yet designed to optimize engagement or implementation. Objective The goal of the research was to test acceptability and effects of an automated digital Mobile Support Tool for Mental Health (MoST-MH) for young adults transitioning to college. Methods Youths aged 18 years and older with a current mental health diagnosis preparing to transition to college (n=52; 85% female [45/52], 91% White [48/52]) were recruited from a primary care (n=31) and a mental health clinic (n=21). Participants were randomized 2:1 to either receive MoST-MH (n=34) or enhanced Usual Care (eUC; n=18). MoST-MH included periodic text message and web-based check-ins of emotional health, stressors, negative impacts, and self-efficacy that informed tailored self-care support messages. Both eUC and MoST-MH participants received links to a library of psychoeducational videos and were asked to complete web-based versions of the Mental Health Self-Efficacy Scale (MHSES), College Counseling Center Assessment of Psychological Symptoms (CCAPS), and Client Service Receipt Inventory for Mental Health (C-SRI) monthly for 3 months and the Post-Study System Usability Scale (PSSUQ) at 3-months. Results MoST-MH participants were sent a median of 5 (range 3 to 10) text message check-in prompts over the 3-month study period and 100% were completed; participants were sent a median of 2 (range 1 to 8) web-based check-in prompts among which 78% (43/55) were completed. PSSUQ scores indicate high usability (mean score 2.0). Results from the completer analysis demonstrated reductions in mental health symptoms over time and significant between-group effects of MoST-MH compared to eUC on depressive symptom severity (d=0.36, 95% CI 0.08 to 0.64). No significant differences in mental health self-efficacy or mental health health care use were observed. Conclusions In this pilot trial, we found preliminary evidence that MoST-MH was engaged with at high rates and found to be highly usable and reduced depression symptoms relative to eUC among youth with mental health disorders transitioning to college. Findings were measured during the COVID-19 pandemic, and the study was not powered to detect differences in outcomes between groups; therefore, further testing is needed. Trial Registration ClinicalTrials.gov NCT04560075; https://clinicaltrials.gov/ct2/show/NCT04560075