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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., (© 2022 Association for Child and Adolescent Mental Health.)

The current study examined prospective bidirectional links between dysregulated sleep, and anxiety and depression severity across 4 years, among youth with a history of anxiety disorder. Participants were 319 youth (age 11-26 years), who previously participated in a large multisite randomized controlled trial for the treatment of pediatric anxiety disorders, Child/Adolescent Anxiety Multimodal Study (CAMS), and subsequently enrolled in a naturalistic follow-up, Child/Adolescent Anxiety Multimodal Extended Long-term Study (CAMELS), an average of 6.5 years later. They participated in four annual visits that included self-report items of dysregulated sleep and semi-structured multi-informant interviews of anxiety and depression. Dysregulated sleep was bidirectionally associated with clinician-rated anxiety and depression symptom severity across adolescence and young adulthood. However, these bidirectional relationships were attributable to youth mean levels of dysregulated sleep, and anxiety and depression severity over the 4 years. Elevations in dysregulated sleep at each visit, relative to mean levels, did not predict worse anxiety or depression severity 1 year later. Likewise visit-specific elevations in anxiety and depression severity, as opposed to average levels, did not predict higher levels of dysregulated sleep at the next visit. Having higher levels of dysregulated sleep or more severe internalizing problems across the four-year period, as opposed to reporting a relative increase in symptom severity at a particular visit, posed greater risk for poor mental health. Interventions should continue to assess and treat persistent sleep problems alongside anxiety and depression.

This study examined (a) demographic and clinical characteristics associated with sleep-related problems (SRPs) among youth with anxiety disorders, and (b) the impact of anxiety treatment: cognitive-behavioral therapy (CBT; Coping Cat), medication (sertraline), their combination, and pill placebo on SRPs. Youth (N = 488, ages 7-17, 50% female, 79% White) with a principal diagnosis of generalized anxiety disorder, separation anxiety disorder, or social phobia participated. SRPs were reported by parents and youth. Findings differed by informant and by type of SRP, with evidence that SRPs are associated with age, anxiety severity, externalizing problems, functional impairment, and family burden at pretreatment. Anxiety treatment reduced SRPs; effect sizes were small to medium. Reductions in parent-reported separation-related sleep difficulties were significantly greater in active treatment than in the placebo condition, with the greatest reductions reported by parents of youth whose active treatment was multimodal or included sertraline. Youth whose anxiety treatment involved CBT reported significantly greater decreases in dysregulated sleep (e.g., sleeplessness). Both CBT for anxiety and sertraline appear to be somewhat effective in reducing SRPs, and multimodal treatment may be preferable depending on the symptom presentation. To inform practice, future research should examine a broad range of SRPs, incorporate objective measures of sleep, and evaluate the impact of behavioral strategies that directly target SRPs in youth with anxiety disorders.

Background: Sleep disturbances are a prominent feature of bipolar disorder (BP). However, it remains unclear how sleep phenotypes may evolve among at-risk youth, and their relevance to BP onset., Methods: Pittsburgh Bipolar Offspring Study (BIOS) offspring (ages 10-18) and their parents completed assessments approximately every two years pertaining to current psychopathology and offspring sleep habits. A latent transition analysis (LTA) identified latent sleep groups within offspring based on their ratings of six sleep domains using the School Sleep Habits Survey. Demographic and clinical characteristics were compared between sleep groups. Logistic regression tested links between sleep group and BP onset at the subsequent assessment., Results: The LTA model identified latent groups of good, poor, and variable sleepers. We observed an overall trend of good sleep becoming variable, and then poor, as youth age. Offspring in the poor sleep group were more likely to have psychopathology. Adjusting for age and depression, poor sleepers had nearly twice the odds of developing BP relative to good (OR=1.99, CI=0.45-8.91) or variable (OR=2.03, CI=0.72-5.72) sleepers., Limitations: Limitations include the use of proximal sleep phenotypes to predict BP onset, and a self-report measure of sleep CONCLUSIONS: We found three non-overlapping sleep phenotype groups in a large sample of offspring of bipolar probands and offspring of demographically-matched community control parents. Clinicians should consider that youth will likely experience variable and/or poor sleep as they age, and that at-risk youth with poor sleep may be at increased risk of developing MDD and BP at their next assessment., (Copyright © 2017. Published by Elsevier B.V.)

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., (© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)