Sleep patterns among preschool offspring of parents with and without psychopathology: Association with the development of psychopathology in childhood.

BACKGROUND: Disturbed sleep during early childhood predicts social-emotional problems. However, it is not known how various early childhood sleep phenotypes are associated with the development of childhood psychopathology, nor whether these relationships vary as a function of parental psychopathology. We identified sleep phenotypes among preschool youth; examined whether these phenotypes were associated with child and parent factors; and determined if early sleep phenotypes predicted later childhood psychopathology. METHODS: Using data from the Pittsburgh Bipolar Offspring study, parents with bipolar disorder (BD), non-BD psychopathology, and healthy controls reported about themselves and their offspring (n = 218) when their children were ages 2-5. Offspring and parents were interviewed directly approximately every 2 years from ages 6-18. Latent class analysis (LCA) identified latent sleep classes; we compared these classes on offspring demographics, parental sleep variables, and parental diagnoses. Kaplan-Meier survival models estimated hazard of developing any new-onset Axis-I disorders, as well as BD specifically, for each class. RESULTS: The optimal LCA solution featured four sleep classes, which we characterized as (1) good sleep, (2) wake after sleep onset problems, (3) bedtime problems (e.g., trouble falling asleep, resists going to bed), and (4) poor sleep generally. Good sleepers tended to have significantly less parental psychopathology than the other three classes. Risk of developing new-onset Axis-I disorders was highest among the poor sleep class and lowest among the good sleep class. CONCLUSIONS: Preschool sleep phenotypes are an important predictor of the development of psychopathology. Future work is needed to understand the biopsychosocial processes underlying these trajectories.

Early indicators of bipolar risk in preschool offspring of parents with bipolar disorder.

BACKGROUND: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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.

The association between social media use and sleep disturbance among young adults.

INTRODUCTION: Many factors contribute to sleep disturbance among young adults. Social media (SM) use is increasing rapidly, and little is known regarding its association with sleep disturbance. METHODS: In 2014 we assessed a nationally representative sample of 1788 U.S. young adults ages 19-32. SM volume and frequency were assessed by self-reported minutes per day spent on SM (volume) and visits per week (frequency) using items adapted from the Pew Internet Research Questionnaire. We assessed sleep disturbance using the brief Patient-Reported Outcomes Measurement Information System (PROMIS®) sleep disturbance measure. Analyses performed in Pittsburgh utilized chi-square tests and ordered logistic regression using sample weights in order to estimate effects for the total U.S. RESULTS: In models that adjusted for all sociodemographic covariates, participants with higher SM use volume and frequency had significantly greater odds of having sleep disturbance. For example, compared with those in the lowest quartile of SM use per day, those in the highest quartile had an AOR of 1.95 (95% CI=1.37-2.79) for sleep disturbance. Similarly, compared with those in the lowest quartile of SM use frequency per week, those in the highest quartile had an AOR of 2.92 (95% CI=1.97-4.32) for sleep disturbance. All associations demonstrated a significant linear trend. DISCUSSION: The strong association between SM use and sleep disturbance has important clinical implications for the health and well-being of young adults. Future work should aim to assess directionality and to better understand the influence of contextual factors associated with SM use.

Social rhythm disrupting events increase the risk of recurrence among individuals with bipolar disorder.

OBJECTIVES: As outlined in the social zeitgeber hypothesis, social rhythm disrupting (SRD) life events begin a cascade of social and biological rhythm disruption that may lead to the onset of affective episodes in those vulnerable to bipolar disorder. Thus, the study of SRD events is particularly important in individuals with this chronic condition. The purpose of the current study was to evaluate (i) the extent to which SRD life events increased the risk of recurrence of a bipolar mood episode, and (ii) whether the social rhythm disruption associated with the event conferred an increased risk of recurrence, after accounting for the level of threat associated with the life event. METHODS: We examined the effect of SRD events on recurrence during preventative treatment in a sample of 118 patients with bipolar disorder who achieved remission from an acute episode after receiving psychotherapy and pharmacotherapy. Life events were measured with the Bedford College Life Events and Difficulty Schedule and were rated for degree of SRD and threat. RESULTS: Time-dependent Cox proportional hazards models showed that having a higher SRD rating was significantly associated with an increased risk of recurrence, even when accounting for the threat effect of a life event and psychosocial treatment (hazard ratio = 1.33, 95% confidence interval: 1.04-1.70, p = 0.023). However, this finding fell below conventional levels of statistical significance when accounting for other covariates. CONCLUSIONS: Our findings lend partial support to the social zeitgeber hypothesis.

Differences in sleep disturbances among offspring of parents with and without bipolar disorder: association with conversion to bipolar disorder.

OBJECTIVES: Disruptions in sleep and dysregulation in circadian functioning may represent core abnormalities in the pathophysiology of bipolar disorder (BP). However, it is not clear whether these dysfunctions are state or trait markers of BP. This report compared sleep and circadian phenotypes among three groups: offspring of parents with BP diagnosed with BP at intake (BP/OB; n = 47), offspring of parents with BP without BP at intake (non-BP/OB; n = 386), and offspring of matched control parents who did not have BP (controls; n = 301). We also examined the association of baseline sleep parameters with subsequent development of BP among the non-BP/OB group. METHODS: Pittsburgh Bipolar Offspring Study youth (ages 6-18 years) and their parents completed assessments every two years pertaining to the child's sleep and circadian phenotypes and current psychopathology. Mixed-effects models examined differences in baseline sleep and circadian variables among the three groups. RESULTS: BP/OB offspring who were in a mood episode differed significantly on sleep parameters from the non-BP/OB and the offspring of controls, such as having inadequate sleep. Mixed logistic regression procedures showed that baseline sleep and circadian variables, such as frequent waking during the night, significantly predicted the development of BP among non-BP/OB over longitudinal follow-up. CONCLUSIONS: While lifetime diagnostic status accounted for differences among the groups in sleep and circadian disturbances, psychopathology explained the differences even further. Additionally, sleep disturbance may be a prognostic indicator of the development of BP in high-risk youth. Future studies are required to further disentangle whether sleep and circadian disruption are state or trait features of BP.

An Integrated Risk Reduction Intervention can reduce body mass index in individuals being treated for bipolar I disorder: results from a randomized trial.

OBJECTIVES: We conducted a randomized, controlled trial comparing the efficacy of an Integrated Risk Reduction Intervention (IRRI) to a control condition with the objective of improving mood stability and psychosocial functioning by reducing cardiometabolic risk factors in overweight/obese patients with bipolar I disorder. METHODS: A total of 122 patients were recruited from our outpatient services and randomly allocated to IRRI (n = 61) or psychiatric care with medical monitoring (n = 61). Individuals allocated to IRRI received psychiatric treatment and assessment, medical monitoring by a nurse, and a healthy lifestyle program from a lifestyle coach. Those allocated to the control condition received psychiatric treatment and assessment and referral, if indicated, for medical problems. A mixed-effects model was used to examine the impact of the interventions on body mass index (BMI). Exploratory moderator analyses were used to characterize those individuals likely to benefit from each treatment approach. RESULTS: Analyses were conducted on data for the IRRI (n = 58) and control (n = 56) participants with ≥ 1 study visit. IRRI was associated with a significantly greater rate of decrease in BMI (d = -0.51, 95% confidence interval: -0.91 to -0.14). Three variables (C-reactive protein, total cholesterol, and instability of total sleep time) contributed to a combined moderator of faster decrease in BMI with IRRI treatment. CONCLUSIONS: Overweight/obese patients with bipolar disorder can make modest improvements in BMI, even when taking medications with known potential for weight gain. Our finding that a combination of three baseline variables provides a profile of patients likely to benefit from IRRI will need to be tested further to evaluate its utility in clinical practice.

Is Interpersonal Psychotherapy Infinitely Adaptable? A Compendium of the Multiple Modifications of IPT.

We employed standard literature search techniques and surveyed participants on the International Society for Interpersonal Psychotherapy listserve (isiptlist@googlegroups.com) to catalogue the multiple and highly creative ways in which Klerman's and Weissman's original concept of interpersonal psychotherapy (IPT) has been modified to meet the needs of a vast range of patient populations. Focusing first on adaptations of the individual treatment model for subgroups of adult patients, we next describe further adaptations of four major off-shoots of IPT: interpersonal counseling (IPC), IPT for adolescents (IPT-A), group IPT (IPT-G) and most recently, brief IPT (IPT-B). We then discuss IPT "in-laws," those treatments that have married IPT with of other forms of psychotherapy for patients with bipolar disorder, panic symptomatology, and substance abuse. We conclude with that although there have been myriad successful adaptations of IPT, there remain some conditions for which IPT adaptations have not been found to be efficacious.

Bridging the gap: leveraging implementation science to advance pediatric behavioral sleep interventions.

STUDY OBJECTIVES: This review synthesizes the pediatric behavioral sleep intervention (BSI) evidence base, summarizes challenges in translating BSIs from research to practice, and provides recommendations for integrating implementation science methods to advance pediatric BSI research. METHODS: We briefly review the common behavioral sleep disturbances among youth, discuss the pediatric BSIs with well-established evidence, and identify gaps in pediatric BSI research. We then identify contributors to the dearth of research evaluating pediatric BSIs in accessible settings and present a model for applying implementation science strategies to address identified gaps across the continuum of translational research. RESULTS: Relatively few BSI trials include older children and adolescents. Similarly, there is limited research evaluating BSIs among racially and ethnically minoritized children and families and/or those of lower socioeconomic status backgrounds. Access to scalable and easily disseminable tools to treat pediatric sleep disturbances early in their development is crucial for promoting positive child outcomes. To address these gaps, researchers should apply implementation science theories, models, and frameworks to design new interventions for implementation, adapt existing interventions with end users and settings in mind, conduct hybrid effectiveness-implementation trials, and test implementation strategies. CONCLUSIONS: Given the prevalence and consequences of poor sleep across developmental periods, pediatric BSIs must be effective as well as adaptable, scalable, and easily disseminable. Implementation science theories, models, and frameworks can enhance access to, engagement in, and the implementation and dissemination of scalable BSIs across diverse pediatric care settings and heterogeneous populations. CITATION: Levenson JC, Williamson AA. Bridging the gap: leveraging implementation science to advance pediatric behavioral sleep interventions. J Clin Sleep Med. 2023;19(7):1321-1336.

Pediatric sleep: current knowledge, gaps, and opportunities for the future.

This White Paper addresses the current gaps in knowledge, as well as opportunities for future studies in pediatric sleep. The Sleep Research Society's Pipeline Development Committee assembled a panel of experts tasked to provide information to those interested in learning more about the field of pediatric sleep, including trainees. We cover the scope of pediatric sleep, including epidemiological studies and the development of sleep and circadian rhythms in early childhood and adolescence. Additionally, we discuss current knowledge of insufficient sleep and circadian disruption, addressing the neuropsychological impact (affective functioning) and cardiometabolic consequences. A significant portion of this White Paper explores pediatric sleep disorders (including circadian rhythm disorders, insomnia, restless leg and periodic limb movement disorder, narcolepsy, and sleep apnea), as well as sleep and neurodevelopment disorders (e.g. autism and attention deficit hyperactivity disorder). Finally, we end with a discussion on sleep and public health policy. Although we have made strides in our knowledge of pediatric sleep, it is imperative that we address the gaps to the best of our knowledge and the pitfalls of our methodologies. For example, more work needs to be done to assess pediatric sleep using objective methodologies (i.e. actigraphy and polysomnography), to explore sleep disparities, to improve accessibility to evidence-based treatments, and to identify potential risks and protective markers of disorders in children. Expanding trainee exposure to pediatric sleep and elucidating future directions for study will significantly improve the future of the field.

Sleep apnea risk and clinical correlates in patients with bipolar disorder.

OBJECTIVE: Despite the high prevalence of risk factors for obstructive sleep apnea (OSA) among individuals with bipolar disorder, the presence of sleep-disordered breathing has not been systematically assessed in this population. In this study, we sought to determine the level of risk for OSA in a population of remitted individuals with a diagnosis of bipolar I disorder. METHODS: A total of 72 individuals with a diagnosis of bipolar I disorder, all of whom were overweight by the World Health Organization criteria, completed the Berlin Questionnaire, a self-assessment tool to establish risk for OSA. RESULTS: Over half of this study population (54.1%) was found to be in the high-risk category for OSA. Participants at high risk for OSA scored significantly higher on measures of both depression and mania, even when sleep items were not counted in the total scores. CONCLUSIONS: Sleep apnea may be prevalent in patients with bipolar I disorder. Considering the substantial overlap of symptoms between OSA and depression and the potentially harmful effects of sleep disruption in patients with mood disorders, a systematic screening to assess prevalence and associated features of OSA in patients with bipolar disorder is warranted.

Psychotherapy for Bipolar II Disorder: The Role of Interpersonal and Social Rhythm Therapy.

Although bipolar II disorder is a highly prevalent, chronic illness that is associated with burdensome psychosocial impairment, relatively little is known about the best ways to treat the disorder. Moreover, psychosocial interventions for the management of bipolar II disorder have been largely unexplored, leaving psychologists with few evidence-based recommendations for best treatment practices. In this article, we provide information about interpersonal and social rhythm therapy (IPSRT), an empirically supported treatment for bipolar I disorder that has preliminary evidence supporting its efficacy in bipolar II disorder. After reviewing the phenomenology of bipolar II disorder and differentiating it from bipolar I disorder, we summarize the extant empirical support for using psychotherapy in the management of bipolar II disorder. We explore what is known about the role of psychotherapy in the management of bipolar II disorder as well as lacunae in the evidence base. Next, we introduce IPSRT and discuss how it has been adapted for use as a treatment for individuals suffering from bipolar II disorder. Specific strategies of the treatment are detailed, and preliminary evidence for the efficacy of IPSRT in bipolar II disorder is described. Finally, we present a case vignette demonstrating the use of IPSRT for an individual with bipolar II disorder.

Risk factors preceding new onset abuse among youth with bipolar disorder: A longitudinal prospective analysis.

BACKGROUND: 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. METHODS: 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. RESULTS: 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). LIMITATIONS: Prospective data was gathered longitudinally but assessed retrospectively at every follow-up; perpetrator information and abuse severity were not available. CONCLUSIONS: Identifying factors temporally preceding new onset physical/sexual abuse may hold promise for identifying high-risk youth with BD.

Sleep among gender minority adolescents.

STUDY OBJECTIVES: Stigmatized youth experience poorer sleep than those who have not experienced stigma. However, no studies have examined the sleep of gender minority adolescents (GMAs). Examining sleep disparities between GMAs and non-GMAs is critical because poor sleep is associated with mental health outcomes experienced disproportionately by GMAs. We examined sleep duration, sleep problems, and sleep quality among our sample and compared these parameters between GMAs and non-GMAs. METHODS: Adolescents aged 14-18 years (n = 1,027 GMA, n = 329 heterosexual non-GMA, n = 415 sexual minority non-GMA; mean age = 16 years; 83% female sex at birth) completed a cross-sectional online survey, reporting sex assigned at birth and current gender identity, sleep duration, sleep problems (too much/too little sleep and inadequate sleep), sleep quality, and depressive symptoms. RESULTS: Accounting for demographic covariates, GMAs were more likely to report inadequate sleep and shorter sleep duration and had higher odds of reporting poor sleep quality and getting too little/too much sleep than heterosexual non-GMAs. After also adjusting for depressive symptoms, the finding that GMAs more often reported poor sleep quality remained significant. CONCLUSIONS: This first large, nationwide survey of sleep among GMAs suggests that GMAs may be more likely to have poor sleep than non-GMAs. The significance of our results was reduced when adjusting for depressive symptoms, suggesting that poorer sleep may occur in the context of depression for GMAs. Future work should include objective measures of sleep, examine the emergence of sleep disparities among GMAs and non-GMAs, and explore pathways that increase risk for poor sleep among GMAs.

Behavioral interventions to extend sleep duration: A systematic review and meta-analysis.

The goal of this study was to examine the effects of behavioral sleep extension interventions on sleep duration outcomes in children and adults ≥ age 12. We conducted a systematic literature review, article extraction and meta-analysis. Our search yielded 42 studies from 14 countries. The majority of studies (n = 19) enrolled adults, 10 studies enrolled college students, 13 enrolled children (high school or middle school aged). Results from the meta-analysis demonstrated behavioral sleep extension resulted in a significantly higher sleep duration as compared to control group or baseline, with pooled standardized mean difference (SMD) that was similar for both two-arm 0.80 (95 % CI 0.28 to 1.31; p < 0.01; I2 = 99.2%) and one-arm studies 0.75 (95% CI 0.39 to 1.11; p < 0.01; I2 = 86%), and there was significant heterogeneity among both study types. Subgroup analyses revealed that studies with direct interventions on sleep duration (i.e., specified the sleep schedule) had larger effects compared to indirect methods (coaching, educational approaches) and a greater number of curriculum components was associated with smaller effects. Results of this review demonstrate that sleep extension studies are effective at extending sleep in a variety of populations but improving the description of intervention methods and use of more rigorous study designs will improve the quality and reproducibility of this area of research.

Designing adolescent sleep interventions with stakeholder input.

OBJECTIVE: Few sleep promotion programs for adolescents have involved stakeholders as part of the intervention development, which may contribute to their limited accessibility, scalability, acceptability, and feasibility. Specifically asking stakeholders for their input on how to modify factors impacting sleep is critical, as is identifying strategies for motivating sleep behavior change. We report qualitative feedback from stakeholders interested in improving adolescent sleep, data collected specifically to inform the development of an adolescent sleep promotion program. PARTICIPANTS: We conducted 9 focus groups (3 each for young adults (n = 8, ages 21-25), parents of adolescents (n = 12), and healthcare providers working with adolescents (n = 29) following a semistructured approach. DESIGN: Participants reported on contributors to good and poor sleep; motivators for improving sleep; strategies for promoting and sustaining behavior change; and feasibility of a proposed sleep promotion program. We coded and thematically analyzed focus group transcripts using inductive and deductive approaches. RESULTS: Moderate engagement in activities (eg, a job, sports) was seen as a contributor to good sleep, while having too many or too few activities was thought to contribute to poor sleep. Linking improved sleep with personalized outcomes of interest can enhance motivation for changing sleep. Strategies for behavior change should rely on increasing internal motivation, personalizing intervention content, and having parents model desired behaviors. CONCLUSIONS: Key stakeholders are critical to the development of acceptable interventions that can be implemented effectively in real-world settings. Future work should test whether the identified themes contribute to increased feasibility, scalability, and effectiveness of sleep programs.

A Longitudinal Study of Psychiatric Disorders in Offspring of Parents With Bipolar Disorder From Preschool to Adolescence.

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.

Longitudinal course of depressive symptom severity among youths with bipolar disorders: Moderating influences of sustained attention and history of child maltreatment.

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.

Associations between positive and negative social media experiences and sleep disturbance among young adults.

OBJECTIVES: We sought to examine the association of positive and negative experiences using social media (SM) and sleep disturbance in a national survey of U.S. young adults. METHODS: Experiences using SM were assessed with 2 items asking participants about the percentage of time using SM that involved a negative/positive experience that they were personally involved in. Sleep disturbance was assessed using the validated PROMIS 4-item short form. Ordinal logistic regression was used to examine associations between positive and negative SM experiences and high sleep disturbance, while controlling for relevant covariates. RESULTS: Although reporting high levels of negative experiences was significantly associated with greater odds of high sleep disturbance (AOR = 1.49, 95%CI = 1.18-1.89), reporting high levels of positive experiences was not associated with sleep disturbance. CONCLUSIONS: These findings suggest that more robust examinations of negative SM experiences-especially as they relate to sleep disturbance-may be warranted.

The Effect of Traumatic Events on the Longitudinal Course and Outcomes of Youth with Bipolar Disorder.

BACKGROUND: Exposure 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. METHODS: BD 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. RESULTS: Accounting 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<0.02). More TEs were associated with poorer mood course, particularly among victims of violence/abuse (p<0.02). Abused participants (34% physical; 17% sexual) showed earlier onset of substance use disorders, more suicidality and comorbidities compared to those without abuse. Comparisons of mood course before and after abuse occurred, and with participants without abuse, showed worsening mood symptoms after, specifically hypo/mania (p<0.03). LIMITATIONS: Prospective data was gathered longitudinally but assessed retrospectively at every follow-up; given approximate dates causality cannot be inferred; TEs severity was not assessed. CONCLUSIONS: Severe TEs, particularly abuse, were associated with poorer course and outcomes among BD youth. Prompt screening of trauma and early intervention may be warranted to minimize TEs impact.

Longitudinal Associations Between Sleep Patterns and Psychiatric Symptom Severity in High-Risk and Community Comparison Youth.

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.