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Sleep disruption is prevalent among children placed in foster care, elevating risk for a range of deleterious outcomes. Theoretically, achieving permanency via adoption may have a positive influence on children's sleep via the presence of various factors, but little is known about the sleep health of children adopted from foster care, including predictors and moderators of sleep health. The current study included 226 parents who adopted a child from foster care in the U.S. (aged 4–11 years) within the past two years and a propensity score matched sample of 379 caregivers of children currently in foster care. Both samples completed online questionnaires about their child's sleep, physical, and mental health. Comparatively, children in foster care experienced more nightmares, night terrors, moving to someone else's' bed during the night, and worse overall sleep quality, whereas adopted children were reported to experience significantly more nighttime awakenings. In the adopted sample, a greater number of prior foster placements unexpectedly predicted lower total sleep disturbance scores, but this relationship was moderated by parent–child interactions around sleep. In general, greater parental involvement in children's sleep was associated with lower levels of child sleep disturbance. Findings suggest that while specific sleep problems might remit after children in foster care achieve permanence, nighttime sleep fragmentation often persists. Parent–child interactions surrounding sleep may be pivotal in improving sleep health in this population. [ABSTRACT FROM AUTHOR]

The article discusses the role of the circadian clock in regulating the body's internal rhythm and the potential impact of time-restricted eating (TRE) on mental health, specifically depression. The circadian clock, consisting of a central clock in the brain and peripheral clocks in other organs, relies on behavioral cues such as food intake to maintain a consistent 24-hour rhythm. Eating earlier in the day and fasting during the night is associated with improved metabolic health, while late-night eating is linked to weight gain and increased BMI. Sleep and the circadian clock are interconnected, and interventions that target behavioral cues like light exposure and eating timing can improve sleep and mental health conditions like depression. However, existing studies on TRE have primarily focused on biological rather than mental health outcomes, and more research is needed to explore the potential of TRE as an intervention for depression. Clinicians should also consider the potential risks of rigid attitudes around eating and monitor patients' attitudes towards TRE to avoid unhealthy behaviors. The content and quality of the food consumed are also important factors to consider when implementing TRE. Overall, TRE presents a new approach that may complement existing treatments for depression and warrants further research on its impact on mental health. [Extracted from the article]

Background: Two understudied risk factors that have been linked to emotional difficulties in adolescence are chronotype and sleep deprivation. This study extended past research by using an experimental design to investigate the role of sleep deprivation and chronotype on emotion in adolescents. It was hypothesized that sleep deprivation and an evening chronotype would be associated with decreased positive affect (PA), increased negative affect (NA), and lower positivity ratios. Methods: Forty-seven healthy adolescents (aged 10-15 for girls, 11-16 for boys) participated in a sleep deprivation and a rested condition. A subsample of 24 adolescents was selected on the basis of extreme morningness or eveningness scores (based on outer quartiles of scores on the Children's Morningness-Eveningness Preferences Scale). PA and NA were measured using the Positive and Negative Affect Schedule for Children, and positivity ratios were calculated by dividing PA by NA. Results: Participants reported less positive affect and lower positivity ratios when sleep deprived, relative to when rested. Evening chronotypes reported less positive affect and lower positivity ratios than morning chronotypes in both rested and sleep deprivation conditions. Conclusions: These findings extend previous research by suggesting that adolescents are adversely impacted by sleep deprivation, and that an evening chronotype might serve as a useful marker of emotional vulnerability. Early intervention and prevention strategies can focus on improving sleep and on using chronotherapy principles to reduce eveningness.

Objective: The disparity of problems, impairments, and disorders among children in foster care is well-documented and spans virtually every domain of functioning. Sleep, however, has received minimal attention among this vulnerable group, which is concerning given the multitude of ways sleep affects children's development, health, and behavior.Methods: A total of 485 foster caregivers from across the United States completed a survey including quantitative items and qualitative, open-ended questions about sleep and related health and behavior for one child (M = 6.4 years, SD = 2.2; range 4-11 years) currently in their care.Results: Overall, caregivers reported developmentally appropriate child sleep and wake times; however, difficulty falling asleep (avg. 46 min per night) and staying asleep (avg. 34 min awake overnight) were common. Additionally, a high prevalence of sleep-related problems was reported including moving to someone else's bed during the night (85.8%), nightmares (51.2%), sleep terrors (26.4%), snoring (32.8%), bedwetting (31.6%), and teeth grinding (21.8%). Qualitative responses indicated emotional and behavioral challenges at bedtime, particularly elevated fear, and anxiety.Conclusions: Findings are consistent with previous work finding significant health disparities among children placed in foster care. Results highlight a need for trauma-informed, behavioral sleep interventions for this pediatric population which might serve to reduce other health disparities. [ABSTRACT FROM AUTHOR]

Background: Sleep disturbance is frequently comorbid with depression and sleep complaints are the most common residual symptoms after treatment among adolescents with depression. The present analyses investigated the effect of sleep disturbance in depressed adolescents treated with Interpersonal Psychotherapy for Adolescents (IPT-A) versus Treatment as Usual (TAU) in school-based mental health clinics., Method: 63 adolescents participated in a randomized clinical trial of IPT-A versus TAU for adolescent depression. Participants were diagnosed with a DSM-IV depressive disorder and assessed for symptoms of depression, interpersonal functioning and sleep disturbance. Measures were assessed at baseline, session 4 and 8 of treatment, and session 12 for post-acute treatment follow-up. Hierarchical linear modeling (HLM) was used to model change in depression, interpersonal functioning and sleep disturbance., Results: Ongoing sleep disturbance was significantly associated with worse depression scores as rated by clinician (γ = 1.04, SE = 0.22, p < .001) and self-report (γ = 1.63, SE = 0.29, p < .001), as well as worse interpersonal functioning across the course of treatment (γ = 0.09, SE = 0.02, p < .001). Treatment condition did not predict change in sleep disturbance (γ = -0.13, SE = 0.14, p = ns )., Conclusions: For all patients in the study, sleep disturbance was a predictor of depression and interpersonal functioning for depressed adolescents. Sleep disturbance predicted more depression and interpersonal stress across treatments and led to a slower improvement in depression and interpersonal functioning. This data suggests that sleep disturbance should be a target for future treatment development research among depressed adolescents., Competing Interests: The remaining authors have no competing or potential conflicts of interest.

Application of computer vision to track changes in human facial expressions during long-duration spaceflight may be a useful way to unobtrusively detect the presence of stress during critical operations. To develop such an approach, we applied optical computer recognition (OCR) algorithms for detecting facial changes during performance while people experienced both low- and high-stressor performance demands. Workload and social feedback were used to vary performance stress in 60 healthy adults (29 men, 31 women; mean age 30 yr). High-stressor scenarios involved more difficult performance tasks, negative social feedback, and greater time pressure relative to low workload scenarios. Stress reactions were tracked using self-report ratings, salivary cortisol, and heart rate. Subjects also completed personality, mood, and alexithymia questionnaires. To bootstrap development of the OCR algorithm, we had a human observer, blind to stressor condition, identify the expressive elements of the face of people undergoing high- vs. low-stressor performance. Different sets of videos of subjects' faces during performance conditions were used for OCR algorithm training. Subjective ratings of stress, task difficulty, effort required, frustration, and negative mood were significantly increased during high-stressor performance bouts relative to low-stressor bouts (all p < 0.01). The OCR algorithm was refined to provide robust 3-d tracking of facial expressions during head movement. Movements of eyebrows and asymmetries in the mouth were extracted. These parameters are being used in a Hidden Markov model to identify high- and low-stressor conditions. Preliminary results suggest that an OCR algorithm using mouth and eyebrow regions has the potential to discriminate high- from low-stressor performance bouts in 75-88% of subjects. The validity of the workload paradigm to induce differential levels of stress in facial expressions was established. The paradigm also provided the basic stress-related facial expressions required to establish a prototypical OCR algorithm to detect such changes. Efforts are underway to further improve the OCR algorithm by adding facial touching and automating application of the deformable masks and OCR algorithms to video footage of the moving faces as a prelude to blind validation of the automated approach.