Adolescents with psychiatric disorders are at increased risk of suicide, with insomnia, depression, and social-personal factors playing pivotal roles. This study investigates the interplay between these factors in a sample of adolescent psychiatric inpatients in Italy, with a particular focus on their association with suicide attempts.

We conducted a cross-sectional study on 95 adolescent inpatients (54 suicide attempters, 41 non-attempters) to explore their sociodemographic and clinical variables, including insomnia, depression, and social-personal factors as history of bullying. Logistic regression analyses and Pearson’s correlations were used to identify significant predictors of suicide attempts and their interrelations.

Suicide attempters were predominantly female (90% vs. 75%, p = 0.04) and more likely to have a family psychiatric history (83% vs. 63%, p = 0.04), a history of bullying (26% vs. 9%, p = 0.01), and insomnia (79% vs. 53%, p = 0.01). Depression was strongly associated with suicide attempts (96% vs. 70%, p = 0.01), while physically active adolescents were significantly less likely to attempt suicide (27% vs. 53%, p = 0.01). Insomnia and depression were highly correlated (r = 0.94, p = 0.02), emphasizing the critical role of the former in emotional dysregulation. Behavioral factors, such as physical inactivity and bullying, emerged as additional key contributors to suicidal behavior.

This study highlights the multifaceted nature of suicide risk in adolescent psychiatric inpatients, with sleep disturbances, depression, and behavioral factors playing central roles. These findings underscore the need for integrated interventions targeting sleep, emotional regulation, and behavioral vulnerabilities to mitigate suicide risk.

Cognitive behavioural therapy for insomnia (CBT-I) is the recommended first-line treatment for insomnia. However, scaling this proven effective intervention to areas of high need remains a challenge, necessitating sensitive adaptation and evaluation.

A randomised waitlist-controlled trial evaluated the efficacy of a hybrid digital CBT-I and emotion regulation (dCBT-I + ER) intervention delivered through workplaces. Participants with at least mild insomnia and depression or anxiety symptoms were randomised to the intervention or waitlist control groups. The intervention was delivered via a web-based platform and four video-conferencing therapy sessions. Participants tracked their sleep using actigraphy and a sleep diary that was used to pace the intervention delivered. Assessments occurred at baseline and 8 weeks post-randomisation, measuring insomnia, depression, anxiety, psychological well-being, quality of life, and work productivity.

Of the 159 participants (mean age 43.6 ± 9.4 years, 76.7% female, 80.5% white), 80 received the intervention and 79 were in the control group. The intervention group showed significant improvements in insomnia (F1, 134 = 71.46, p < .0001); depression (F1, 134 = 35.67, p < .0001); and anxiety (F1, 134 = 17.63, p < .0001), with large effect sizes (d = 0.7–1.5). Sleep diary data supported these findings, whereas actigraphy data did not. Improvements in psychological well-being were significant (F1, 132.13 = 10.64, p < 0.001), whereas quality of life, work productivity, and satisfaction outcomes were not.

This study suggests that a hybrid dCBT-I + ER intervention, delivered via workplaces, effectively improves insomnia, depression, and anxiety. It holds promise as a scalable solution, warranting further investigation into its long-term efficacy and economic impact.

Increasing daylight exposure might be a simple way to improve mental health. However, little is known about daylight-symptom associations in depressive disorders.

In a subset of the Australian Genetics of Depression Study (N = 13,480; 75% female), we explored associations between self-reported number of hours spent in daylight on a typical workday and free day and seven symptom dimensions: depressive (overall, somatic, psychological); hypo-manic-like; psychotic-like; insomnia; and daytime sleepiness. Polygenic scores for major depressive disorder (MDD); bipolar disorder (BD); and schizophrenia (SCZ) were calculated. Models were adjusted for age, sex, shift work status, employment status, season, and educational attainment. Exploratory analyses examined age-stratified associations (18–24 years; 25–34 years; 35–64 years; 65 and older). Bonferroni-corrected associations (p < 0.004) are discussed.

Adults with depression reported spending a median of one hour in daylight on workdays and three hours on free days. More daylight exposure on workdays and free days was associated with lower depressive (overall, psychological, somatic) and insomnia symptoms (p’s<0.001), but higher hypo-manic-like symptoms (p’s<0.002). Genetic loading for MDD and SCZ were associated with less daylight exposure in unadjusted correlational analyses (effect sizes were not meaningful). Exploratory analyses revealed age-related heterogeneity. Among 18–24-year-olds, no symptom dimensions were associated with daylight. By contrast, for the older age groups, there was a pattern of more daylight exposure and lower insomnia symptoms (p < 0.003) (except for 25–34-year-olds on free days, p = 0.019); and lower depressive symptoms with more daylight on free days, and to some extent workdays (depending on the age-group).

Exploration of the causal status of daylight in depression is warranted.

Subjective cognition is a predictor of cognitive decline and previous work has identified age, education and depression as predictors of subjective cognition. This study aimed to investigate whether several sleep characteristics were associated with subjective cognition above-and-beyond known predictors.

Participants (N=3284, Mage=42.7 years, 48.5% female) completed an online study that included the Patient Health Questionnaire-4 (PHQ-4), Insomnia Severity Index (ISI), RU-SATED, Sleep Regularity Questionnaire (SRQ) and the 6-item PROMIS Cognitive Function. A 3-step hierarchical regression model predicted PROMIS Cognition scores, with Step 1 including age and education as predictors, Step 2 including age, education, and PHQ-4 scores, and Step 3 including all previous variables and sleep variables.

In Step 1 (R2=.03), age and education were significant predictors, while in Step 2 (R2=.36), PHQ-4 and education were significant, and age was no longer significant. In Step 3 (R2=.48), PHQ-4, ISI, RU-SATED, and SRQ scores were significant, while age and education were not significant. All steps accounted for a significant increase in variance (p’s<.001).

Sleep characteristics were associated with subjective cognition above-and-beyond known predictors of age, education and mood. Further research is needed to investigate whether changes in sleep characteristics are associated with changes in subjective cognition.

To reveal the chain mediating roles of insomnia and anxiety between social support and PTSD in nursing staff under the stage of COVID-19 regular pandemic prevention and control in China.

A total of 784 nurses were recruited using the convenience sampling method in Jiangsu Province, China. Demographic questionnaire, Perceived Social Support Scale, Impact of Event Scale-Revised, Generalized Anxiety Disorder-7 and Insomnia Severity Index were applied to collect data.

Social support, PTSD, insomnia and anxiety were significantly correlated with each other. Insomnia and anxiety acted as chain mediators between social support and PTSD.

Insufficient social support may trigger PTSD through the chain mediating effects of insomnia and anxiety in nursing staff under the stage of COVID-19 regular pandemic prevention and control. Measures focusing on social support, insomnia and anxiety should be taken to reduce or even prevent PTSD in nursing staff in Chinese hospitals in similar crises in the future.

Sleep pattern alteration is a core feature of bipolar disorder (BD), often challenging to treat and affecting clinical outcomes. Suvorexant, a hypnotic agent that decreases wakefulness, has shown promising results in treating primary insomnia. To date, data on its use in BD are lacking. This study evaluated the efficacy and tolerability of adjunctive suvorexant for treatment-resistant insomnia in BD patients.

Thirty-six BD outpatients (19 BDI, 69.4% female, 48.9 [±15.2] years) were randomized for 1 week to double-blind suvorexant (10–20 mg/day) versus placebo. Then, all subjects who completed the randomized phase were offered open suvorexant for 3 months. Subjective total sleep time (sTST) and objective total sleep time (oTST) were assessed.

During the randomized control trial (RCT) phase, an overall increase in the oTST emerged, which was statistically significant for the Cole–Kripke algorithm (p = 0.035). The comparison between the suvorexant and placebo groups was limited by significant differences between measurements at baseline. During the open phase, no significant improvement was detected relative to either sTST and oTST. No adverse events nor major intolerances were reported.

Efficacy results are inconsistent. During the RCT phase, only a small increase in the objective oTST emerged, while during the open phase, no significant improvement was detected. While this is the first ever study of suvorexant in BD-related insomnia, the limitation of the small sample and the high rate of dropouts limits the generalizability of these findings. Larger studies are needed to assess suvorexant in treating BD-related insomnia.

Childhood maltreatment is a well-established transdiagnostic risk factor for suicidal ideation; however, previous studies on their association in schizophrenia have produced highly varied results. Moreover, the mechanism linking childhood maltreatment and suicide ideation remains unclear in schizophrenia.

This cross-sectional study aimed to investigate the association between childhood maltreatment and suicide ideation in people with schizophrenia and tested whether insomnia mediated this relationship.

Positive and Negative Syndrome Scale (PANSS), Insomnia Severity Index (ISI), Childhood Trauma Questionnaire – Short Form and Beck Suicidal Ideation Inventory were employed. Logistic regression and mediation analysis were performed.

(a) The prevalence of suicide ideation, insomnia, sexual abuse, emotional neglect, emotional abuse, physical abuse and physical neglect was 10% (n = 61), 18% (n = 111), 11% (n = 68), 25% (n = 153), 6.3% (n = 39), 17% (n = 106) and 39% (n = 239), respectively. In all, 52% (n = 320) reported childhood maltreatment; (b) patients with suicide ideation demonstrated higher insomnia and childhood maltreatment. PANSS depression factor, ISI, lifetime suicidal attempts and emotional abuse were independently associated with suicide ideation; (c) insomnia partially mediated the effects of emotional abuse and emotional neglect on suicide ideation, and insomnia completely mediated the effects of physical neglect and physical abuse on suicide ideation.

Our study calls for formal assessments for childhood maltreatment and insomnia in schizophrenia, which might help identify suicide ideation early. In addition, interventions targeting insomnia might help reduce suicide ideation among people with schizophrenia who experience childhood maltreatment.

To examine whether objective sleep parameters are associated with cognitive function (CF) in patients with major depressive disorder (MDD) with chronic insomnia (CI) and whether the severity of these disorders is related to CF.

Thirty patients with MDD with CI attending a tertiary care institution underwent two consecutive nights of polysomnographic (PSG) recording and a battery of neuropsychological tests, which included episodic memory, sustained attention, working memory, and executive function. The severity of MDD and CI was assessed by clinical scales. We examined the relationship between PSG parameters and CF, as well as whether the severity of the disorders is related to CF.

Linear regression analysis revealed that total sleep time (TST) was positively associated with higher learning and recall of episodic memory, as well as better attention. Slow-wave sleep (SWS) showed a positive association with better working memory. Furthermore, wake after sleep onset (WASO) was negatively associated with episodic memory and lower attention. No significant relationships were found between the severity of MDD or CI with CF.

Both sleep duration and depth are positively associated with several aspects of CF in patients with MDD with CI. Conversely, a lack of sleep maintenance is negatively related to CF in these patients. These findings could help identify modifiable therapeutic targets to reduce CF impairment.

It is unclear whether treatment for an anxiety disorder improves sleep. This study examined baseline sleep characteristics of adolescents with an anxiety disorder, comparing weekdays and weekends, and whether there were significant improvements in sleep following cognitive behaviour therapy (CBT).

To improve our understanding of sleep problems in adolescents with an anxiety disorder and examine whether CBT for the treatment of the anxiety disorder improves sleep.

Data was gathered from 179 participants with an anxiety disorder (11–17 years old) who had previously engaged with the out-patient child and adolescent mental health service. Baseline self-report measures of anxiety and depression symptoms, sleep patterns and experiences of insomnia were examined. Of this group, 135 participants had baseline data. A subset (n=73) had outcome data, which was used to examine changes in sleep following CBT.

At baseline, adolescents reported significantly less total sleep and more night-time waking on weekdays than weekends. Following treatment for their anxiety disorder, adolescents’ weekday sleep patterns significantly improved for sleep onset latency and total sleep time, whereas weekend sleep patterns only showed improvements for sleep onset latency. No significant improvements were reported for symptoms of insomnia.

The study relied upon subjective measurement of sleep and there was no control group; however, the findings provide promising results that CBT for adolescent anxiety disorders can improve some sleep problems. Further research is needed to understand discrepancies between subjective and objective sleep, and to explore avenues for the delivery of support for sleep problems.

Major depressive disorder (MDD) is highly prevalent and burdensome for individuals and society. While there are psychological interventions able to prevent and treat MDD, uptake remains low. To overcome structural and attitudinal barriers, an indirect approach of using online insomnia interventions seems promising because insomnia is less stigmatized, predicts MDD onset, is often comorbid and can outlast MDD treatment. This individual-participant-data meta-analysis evaluated the potential of the online insomnia intervention GET.ON Recovery as an indirect treatment to reduce depressive symptom severity (DSS) and potential MDD onset across a range of participant characteristics.

Efficacy on depressive symptom outcomes was evaluated using multilevel regression models controlling for baseline severity. To identify potential effect moderators, clinical, sociodemographic, and work-related variables were investigated using univariable moderation and random-forest methodology before developing a multivariable decision tree.

IPD were obtained from four of seven eligible studies (N = 561); concentrating on workers with high work-stress. DSS was significantly lower in the intervention group both at post-assessment (d = −0.71 [95% CI−0.92 to −0.51]) and at follow-up (d = −0.84 [95% CI −1.11 to −0.57]). In the subsample (n = 121) without potential MDD at baseline, there were no significant group differences in onset of potential MDD. Moderation analyses revealed that effects on DSS differed significantly across baseline severity groups with effect sizes between d = −0.48 and −0.87 (post) and d = − 0.66 to −0.99 (follow-up), while no other sociodemographic, clinical, or work-related characteristics were significant moderators.

An online insomnia intervention is a promising approach to effectively reduce DSS in a preventive and treatment setting.