Cognitive behavioural therapy for fatigue (CBT-F) and insomnia (CBT-I) are effective therapies. Little is known on their effectiveness when severe fatigue and insomnia co-occur.

This observational study investigated whether the co-occurrence of fatigue and insomnia influences the outcomes of CBT-F and CBT-I. Furthermore, it was determined if changes in fatigue and insomnia symptoms are associated, and how often the co-occurring symptom persists after CBT.

Patients with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS, n = 241) received CBT-F and patients with insomnia disorder (n = 162) received CBT-I. Outcomes were fatigue severity assessed with the subscale of the Checklist Individual Strength (CIS-fat) and insomnia severity assessed with the Insomnia Severity Index (ISI). In each cohort, treatment outcomes of the subgroups with and without co-occurring symptoms were compared using ANCOVA. The association between changes in insomnia and fatigue severity were determined using Pearson’s correlation coefficient.

There were no differences in treatment outcomes between patients with and without co-occurring fatigue and insomnia (CBT-F: mean difference (95% CI) in CIS-fat-score 0.80 (−2.50–4.11), p = 0.63, d = 0.06; CBT-I: mean difference (95% CI) in ISI-score 0.26 (−1.83–2.34), p = 0.80, d = 0.05). Changes in severity of both symptoms were associated (CBT-F: r = 0.30, p < 0.001, CBT-I: r = 0.50, p < 0.001). Among patients no longer severely fatigued after CBT-F, 31% still reported insomnia; of those without clinical insomnia after CBT-I, 24% remained severely fatigued.

CBT-F and CBT-I maintain their effectiveness when severe fatigue and insomnia co-occur. Changes in severity of both symptoms after CBT are associated, but the co-occurring symptom can persist after successfully treating the target symptom.

Previous studies have found substantial costs to be associated with depression and insomnia (as separate entities).

To estimate healthcare service use and costs associated with insomnia in Australian adults experiencing subthreshold depression or major depressive disorder (MDD).

Healthcare service use and productivity loss were extracted from the cross-sectional 2020–2022 National Survey of Mental Health and Wellbeing data. Insomnia and depression were assessed using questions aligned with DSM-IV criteria. Weighted two-part models were used to calculate average annual costs (presented as 2021–2022 Australian dollars).

The analytical sample meeting subthreshold depression or MDD criteria consisted of 1331 adults (aged 40.5 ± 16.1 years; 59% female; insomnia prevalence: 84%). Healthcare service use and healthcare costs between individuals with insomnia and those without insomnia were similar in the MDD group. For subthreshold depression, healthcare costs were significantly higher for those with insomnia compared with those without insomnia (Δ = A$990, 95% CI: 234 to 1747), but healthcare resource use was not significantly different. Productivity loss among employed people and reduced employment were much greater (although the difference did not reach statistical significance) in adults with insomnia compared with those without insomnia.

Healthcare resource use among adults with depression was similar in those with and without insomnia. However, higher healthcare costs associated with insomnia were observed in adults with subthreshold depression. Further studies are encouraged to understand the nature of the increased healthcare cost associated with insomnia in individuals with subthreshold depression and to optimise healthcare service use in people with comorbid depression and insomnia.

Patients with cancer frequently experience insomnia that significantly impacts their quality of life, worsens existing symptoms, and potentially hinders treatment outcomes and recovery. Here, we report on 3 cancer patients whose insomnia was improved with low-dose olanzapine.

A retrospective review of medical records was conducted for 3 cancer patients experiencing insomnia treated with olanzapine at Johns Hopkins Hospital. The data collection included the type of cancer diagnosis, the level of insomnia severity experienced by individuals, and treatment results and outcome.

Olanzapine improved sleep in all 3 patients and decreased nausea/vomiting and anxiety in patients 2 and 3.

A low dose of olanzapine has potential to treat insomnia in cancer patients. The ideal dosing regimens and potential risks are unclear, especially for long-term use. More research and clinical trials are needed to evaluate off-label use of olanzapine for insomnia, including its efficacy and risks, and to optimize the dosage to reduce its side effects in cancer patients. Oncology providers should consider olanzapine as a potential treatment for insomnia, especially given its off-label uses and potential benefits.

Young adulthood is a transitional period between childhood and adulthood characterised by unique stressors that increase the risk of food insecurity and poor mental health. This study examined the association between food insecurity and mental health outcomes among U.S. young adults aged 18–25.

A cross-sectional survey was completed by young adults between the ages of 18 and 25 years between January and April 2022. Key measures included food insecurity, perceived stress, anxiety, depressive symptoms and insomnia. Descriptive statistics and linear regression analyses were used to determine the prevalence of and associations between food insecurity and mental health outcomes, controlling for key demographic and social factors.

Online survey.

1630 U.S. young adults.

Among the analytic sample of 1041 young adults, nearly 70 % of participants identified as being food insecure in the last year. Participants reported moderate to high levels of perceived stress, anxiety, depressive symptoms and insomnia. Food insecurity was positively associated with each mental health outcome including perceived stress (β = 2·28, P< 0·01), anxiety (β = 2·84, P< 0·01), depressive symptoms (β = 2·74, P< 0·01) and insomnia (β = 1·28, P< 0·01) after controlling for all other factors.

Food insecurity is associated with mental health problems among young adults. Future efforts should explore the directionality of this relationship to determine if food insecurity initiates or exacerbates poor mental health outcomes or if poor mental health contributes to food insecurity. Interventions to improve food security status may also help support mental health among young adults.

Sleep disturbances are prevalent in major depressive disorder (MDD). Emerging evidence suggests a bidirectional relationship between inflammation and sleep disturbances, but the role of peripheral inflammatory markers in subjective sleep quality in treatment-resistant depression (TRD) remains unclear.

34 MDD patients (20 TRD and 14 non-TRD) and 34 healthy controls were enrolled. Participants underwent clinical assessments, including the Hamilton Rating Scale for Depression and Pittsburgh Sleep Quality Index (PSQI). Serum levels of inflammatory markers, including soluble interleukin-2 receptor (sIL-2R), soluble interleukin-6 receptor, soluble tumor necrosis factor-α receptor type 1 (sTNF-αR1), monocyte chemoattractant protein-1, and C-reactive protein, were measured. General linear models were used to assess associations between inflammatory markers and subjective sleep quality, adjusting for relevant covariates.

Patients with MDD scored higher in PSQI than healthy subjects. Higher serum levels of sTNF-αR1 were associated with longer sleep latency across the TRD and non-TRD groups. Elevated serum sIL-2R levels correlated with poorer overall sleep quality among patients with MDD.

These findings underscored the importance of considering inflammatory pathways in understanding sleep disturbances in depression. Longitudinal studies are needed to elucidate causal relationships and inform potential therapeutic interventions targeting both inflammation and sleep in MDD.

Patients with chronic insomnia are characterized by alterations in default mode network and alpha oscillations, for which the medial parietal cortex (MPC) is a key node and thus a potential target for interventions.

Fifty-six adults with chronic insomnia were randomly assigned to 2 mA, alpha-frequency (10 Hz), 30 min active or sham transcranial alternating current stimulation (tACS) applied over the MPC for 10 sessions completed within two weeks, followed by 4- and 6-week visits. The connectivity of the dorsal and ventral posterior cingulate cortex (vPCC) was calculated based on resting functional MRI.

For the primary outcome, the active group showed a higher response rate (≥ 50% reduction in Pittsburgh Sleep Quality Index (PSQI)) at week 6 than that of the sham group (71.4% versus 3.6%) (risk ratio 20.0, 95% confidence interval 2.9 to 139.0, p = 0.0025). For the secondary outcomes, the active therapy induced greater and sustained improvements (versus sham) in the PSQI, depression (17-item Hamilton Depression Rating Scale), anxiety (Hamilton Anxiety Rating Scale), and cognitive deficits (Perceived Deficits Questionnaire-Depression) scores. The response rates in the active group decreased at weeks 8–14 (42.9%–57.1%). Improvement in sleep was associated with connectivity between the vPCC and the superior frontal gyrus and the inferior parietal lobe, whereas vPCC-to-middle frontal gyrus connectivity was associated with cognitive benefits and vPCC-to-ventromedial prefrontal cortex connectivity was associated with alleviation in rumination.

Targeting the MPC with alpha-tACS appears to be an effective treatment for chronic insomnia, and vPCC connectivity represents a prognostic marker of treatment outcome.

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.