David Axelson

BackgroundDisturbed 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. MethodsUsing 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. ResultsThe 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. ConclusionsPreschool sleep phenotypes are an important predictor of the development of psychopathology. Future work is needed to understand the biopsychosocial processes underlying these trajectories.

The use of telebehavioral health has been expanding in the past decade to improve access to psychiatric care and address critical shortages in the psychiatric workforce. The coronavirus (COVID-19) pandemic forced a sudden shift from traditional in-person visits to alternative modalities. There are key factors associated with successful transitional and large-scale implementation of telehealth with existing resources. We describe the experience of a large health care system using telehealth technology, and we identify strategies and discuss considerations for long-term sustainability after the pandemic.

UNSTRUCTURED The use of telebehavioral health has been expanding in the past decade to improve access to psychiatric care and address critical shortages in the psychiatric workforce. The coronavirus (COVID-19) pandemic forced a sudden shift from traditional in-person visits to alternative modalities. There are key factors associated with successful transitional and large-scale implementation of telehealth with existing resources. We describe the experience of a large health care system using telehealth technology, and we identify strategies and discuss considerations for long-term sustainability after the pandemic.