Cognitive Behavioural Therapy for Insomnia (CBT-I) to treat depression: A systematic review

Cognitive behavior therapy for insomnia in university students delivered via videoconferencing groups: A pilot study

INTRODUCTION

Sleep difficulties are common amongst university students and are associated with mental illness and reduced wellbeing. This paper reports a pilot study of Cognitive Behavior Therapy for Insomnia (CBT-I) tailored specifically for university students. It was hypothesized that the intervention would be feasible, acceptable, and improve sleep, anxiety, depression, and wellbeing.

METHOD

Students aged 18-25 participated via videoconferencing small group sessions of CBT-I. Feasibility was assessed through sign-up, consent rates, and study attrition, while acceptability was assessed using intervention adherence and a measure of intervention acceptability. Outcome measures included sleep quality, insomnia, suicidal ideation, symptoms of depression, anxiety, and wellbeing, and were assessed at baseline and post-intervention.

RESULTS

Participants were 44 students (M = 21.8 years). Feasibility was confirmed by sign-up and consent rates (80% of the students who expressed interest agreed to participate); overall study attrition was 48%, comprised largely of participants not commencing treatment (27%). Participants perceived the program as effective and logical and made use of the skills suggested. In terms of adherence, 82% of the participants who engaged with treatment attended two or more sessions and 63% attended all four sessions; and 92% were either very satisfied or mostly satisfied. Sleep quality, insomnia, depression, anxiety, and wellbeing all significantly improved from pre- to post-intervention.

DISCUSSION

There was evidence that the CBT-I intervention tailored for university students was acceptable to participants and could be feasible to deliver. Sleep quality, depression, anxiety, and wellbeing improved significantly. These findings suggest that the intervention is suitable for evaluation in a fully powered randomized controlled trial.

Replacing sedentary time with sleep and physical activity: associations with physical function and wellbeing in Type 2 diabetes

AIMS

To examine the associations of substituting sedentary behaviour (SB) for sleep, light physical activity (LPA) or moderate-to-vigorous physical activity (MVPA) with physical function and wellbeing.

METHODS

Cross-sectional data from 808 adults with Type 2 Diabetes Mellitus, (T2DM) were included. 24-hour behaviours were ascertained through accelerometery. Isotemporal substitution was used to estimate the theoretical substitution of SB for other 24-hour behaviours on associations with physical function and wellbeing markers.

RESULTS

Reallocating 30 min of SB to sleep was beneficially associated with 1.0% (95% CI: 0.1-1.9) higher sit-to-stand-60 (STS60) and 1.2% (0.1-2.3) Duke Activity Status Index (DASI) scores, 3.6% (1.5-5.5) lower Patient Hospital Questionnaire-9 (PHQ9) and 1.9% lower (0.1-3.7) Diabetes Distress scores. Whilst substituting SB with MVPA was associated with 3.8% (2.2-5.4) higher STS60 and 3.9% (2.0-5.9) DASI scores, and 4.7% (0.3-9.0) lower PHQ9 score. Replacing SB with LPA was associated with 4.1% (1.0-7.1) lower PHQ9 score.

CONCLUSION

In adults with T2DM, theoretically replacing SB with sleep and physical activity, particularly MVPA is beneficially associated with markers of physical function and wellbeing. For wellbeing, associations for sleep were comparable (depression), or greater (diabetes distress), than for MVPA.

The clinical effect of digital cognitive behavioural therapy for insomnia in subgroups with depressive and anxiety symptoms: A secondary analysis of a randomized-controlled trial

Insomnia is a highly prevalent mental disorder, and is often co-occurring with depression and anxiety disorders. Cognitive behavioural therapy for insomnia as treatment of choice for insomnia can also be applied digitally (digital cognitive behavioural therapy for insomnia), making it more accessible. This is a secondary data analysis of a two-armed parallel randomized-controlled trial. In the primary publication, N = 238 participants meeting criteria for the 5th edition of Diagnostic and Statistical Manual of Mental Disorders chronic insomnia disorder were randomly assigned to either 8 weeks of digital cognitive behavioural therapy for insomnia + treatment-as-usual, or waitlist + treatment-as-usual. To determine the clinical effects of digital cognitive behavioural therapy for insomnia in populations with comorbid anxiety and depression symptoms, this secondary analysis focused on two subgroups: (1) participants with high initial depressive symptoms; and (2) participants with high initial anxiety symptoms. Symptoms of insomnia, depression and anxiety as primary outcome measures were obtained at baseline, 8 weeks post-randomization and, in the intervention group only, at 6- and 12-months follow-up. At 8 weeks post-randomization, the use of digital cognitive behavioural therapy for insomnia in both subgroups was associated with large reductions in insomnia severity in comparison to control (depression subgroup: d = 2.37; anxiety subgroup: d = 2.13). Between-group treatment effects were also observed for symptoms of depression in the depression subgroup (d = 1.59), and for symptoms of anxiety in the anxiety subgroup (d = 1.28). Within-group effects were stable over time (d = 0.64-1.63). This secondary analysis shows that digital cognitive behavioural therapy for insomnia reduces insomnia and comorbid symptoms in participants with high initial symptoms of either depression or anxiety with sustained long-term effects.

Sleeping for two: A randomized controlled trial of cognitive behavioural therapy for insomnia (CBTI) delivered in pregnancy and secondary impacts on symptoms of postpartum depression

BACKGROUND

Insomnia in pregnancy is common and highly comorbid with depression.

OBJECTIVE

To investigate if: 1) depressive symptoms decrease after cognitive behavioural therapy for insomnia (CBTI) delivered in pregnancy, and 2) changes in insomnia symptoms represent a mechanism linking CBT-I treatment and reduced symptoms of postpartum depression.

METHODS

A two-arm, single-blind, parallel groups randomized controlled trial (RCT) design was used to evaluate the impact of a 5-week CBT-I intervention adapted for pregnant people with insomnia (N = 62). Participants were eligible if they were pregnant, between 12 and 28 weeks gestation, and met diagnostic criteria for insomnia. Participants completed questionnaires assessing symptoms of insomnia and depression pre-intervention (T1), post-intervention (T2), and six months postpartum (T3). A path analysis model was used to test direct and indirect effects simultaneously.

RESULTS

There was a significant direct effect of CBT-I on postpartum depressive symptoms at T3. Additionally, significant indirect treatment effects on depressive symptoms at T3 emerged, through depressive symptoms at T2 and through improvements in insomnia that persisted from T2 to T3.

LIMITATIONS

Limitations to the current study include limited generalizability, the non-depressed sample, and variability in treatment and assessment delivery (in-person vs. online).

CONCLUSIONS

CBT-I treatment in pregnancy may indirectly reduce postpartum depressive symptoms, through sustained improvements in insomnia symptoms.

Pain in your day? Get sleep treatment anyway! The role of pain in insomnia treatment efficacy in women veterans

Insomnia and pain disorders are among the most common conditions affecting United States adults and veterans, and their comorbidity can cause detrimental effects to quality of life among other factors. Cognitive behavioural therapy for insomnia and related behavioural therapies are recommended treatments for insomnia, but chronic pain may hinder treatment benefit. Prior research has not addressed how pain impacts the effects of behavioural insomnia treatment in United States women veterans. Using data from a comparative effectiveness clinical trial of two insomnia behavioural treatments (both including sleep restriction, stimulus control, and sleep hygiene education), we examined the impact of pain severity and pain interference on sleep improvements from baseline to post-treatment and 3-month follow-up. We found no significant moderation effects of pain severity or interference in the relationship between treatment phase and sleep outcomes. Findings highlight opportunities for using behavioural sleep interventions in patients, particularly women veterans, with comorbid pain and insomnia, and highlight areas for future research.

Effect of sleep quality on repetitive transcranial magnetic stimulation outcomes in depression

Introduction

While repetitive transcranial magnetic stimulation (rTMS) is effective for 50-60% of those treatment-resistant depression, it is critical to identify predictors of response for optimal patient selection to improve therapy. Insomnia is a known symptom of depression that is both correlated with depression severity and associated with poor antidepressant response. Therefore, understanding this relationship may open new opportunities for the optimization of rTMS treatment. We aimed to explore whether baseline sleep quality, specifically insomnia, is associated with rTMS outcomes in a naturalistic sample of 975 patients (age 18-90; 63.9% F) receiving a standard course of rTMS treatment from two outpatient TMS clinics located within psychiatric hospitals in the United States. One site additionally collected information on concurrent medication use on 350 patients; among these, we examined whether pharmacological treatment of insomnia affected TMS treatment response.

Methods

Depression was measured using the 30-item Inventory of Depressive Symptomology Self Report (IDS-SR) in site one and an abbreviated 16-item Quick Inventory of Depressive Symptomology (QIDS) derived from the IDS-SR in site two. Sleep disturbances were measured using three insomnia-related questions. Multilevel logistic regression was used to determine whether baseline insomnia scores were associated with TMS treatment outcome. Upon dichotomous categorization of the sample by insomnia and sleep-medication use, depression and sleep scores were analyzed across time using mixed repeated measures ANOVA.

Results

We found that sleep quality improves after TMS (p<.001) and correlates with improvement in non-insomnia related depression symptoms (r= .318, p<.001). We found that among those who had significant insomnia at baseline, those not using sleep medications had significantly worse post-treatment IDS-SR scores compared to those using sleep medications (p=. 021) despite no difference in final insomnia score.

Discussion

Together, our results suggest that while baseline insomnia is not associated with TMS effectiveness, treating insomnia may affect the trajectory of TMS therapy. Future prospective studies are needed to examine the effect of insomnia treatment alongside TMS for depression.

Actigraphic monitoring of sleep and circadian rest-activity rhythm in individuals with major depressive disorder or depressive symptoms: A meta-analysis

BACKGROUND

Disrupted sleep and rest-activity pattern are common clinical features in depressed individuals. This meta-analysis compared sleep and circadian rest-activity rhythms in people with major depressive disorder (MDD) or depressive symptoms and healthy controls.

METHODS

Eligible studies were identified in five databases up to December 2023. The search yielded 53 studies with a total of 11,115 participants, including 4000 depressed participants and 7115 healthy controls.

RESULTS

Pooled meta-analyses demonstrated that depressed individuals have significantly longer sleep latency (SMD = 0.23, 95 % CI: 0.12 to 0.33) and wake time after sleep onset (SMD = 0.37, 95 % CI: 0.22 to 0.52), lower sleep efficiency (SMD = -0.41, 95 % CI: -0.56 to -0.25), more nocturnal awakenings (SMD = 0.58, 95 % CI: 0.29 to 0.88), lower MESOR (SMD = -0.54, 95 % CI: -0.81 to -0.28), amplitude (SMD = -0.33, 95 % CI: -0.57 to -0.09), and interdaily stability (SMD = -0.17, 95 % CI: -0.28 to -0.05), less daytime (SMD = -0.79, 95 % CI: -1.08 to -0.49) and total activities (SMD = -0.89, 95 % CI: -1.28 to -0.50) when compared with healthy controls.

LIMITATIONS

Most of the included studies reported separate sleep and activity parameters instead of 24-hour rest-activity rhythms. The variabilities among actigraphy devices and the types of participants recruited also impede precise comparisons.

CONCLUSIONS

The findings emerging from this study offered a better understanding of sleep and rest-activity rhythm in individuals with MDD or depressive symptoms. Future studies could advocate for deriving objective, distinctive 24-hour rest-activity profiles contributing to the risk of depression.

PROSPERO REGISTRATION NUMBER

CRD42021259780.

Disrupted brain functional asymmetry at rest in patients with major depressive disorder associated with sleep disturbances

Sleep disturbances (SD) are common in major depressive disorder (MDD) patients. Brain functional asymmetry is crucial for understanding MDD pathophysiology. Previous studies using the parameter of asymmetry (PAS) approach have found brain functional asymmetry disruption in MDD. However, this has not been explored in MDD patients with SD. This study examined 26 MDD patients with SD, 34 MDD patients without SD, and 34 healthy controls using resting-state functional magnetic resonance imaging scans. SD symptoms were quantified using the 17-item Hamilton Rating Scale for Depression. PAS approach was used to evaluate functional asymmetry. MDD patients with SD displayed increased PAS in the left middle frontal gyrus (MFG)/inferior frontal gyrus (IFG) and decreased PAS in the left parahippocampal gyrus (PHG) compared to MDD patients without SD. Increased PAS in the left MFG/IFG was positively correlated with SD severity, and a negative correlation was found between decreased PAS in the left PHG and SD scores in all MDD patients. Receiver operating characteristic analysis indicated that increased PAS in the left MFG/IFG and decreased PAS in the left PHG may serve as potential neuroimaging markers to differentiate MDD patients with SD from those without SD with Area Under Curve values of 0.8157 and 0.8068, respectively. These results highlighted that increased PAS in the left MFG/IFG and decreased PAS in the left PHG may be considered a prominent feature associated with SD symptoms of MDD patients, potentially serving as imaging markers to discriminate between MDD patients with and without SD.

Effect of depression treatment on health behaviors and cardiovascular risk factors in primary care patients with depression and elevated cardiovascular risk: data from the eIMPACT trial

BACKGROUND

Depression is an independent risk factor for cardiovascular disease (CVD), but it is unknown if successful depression treatment reduces CVD risk.

METHODS

Using eIMPACT trial data, we examined the effect of modernized collaborative care for depression on indicators of CVD risk. A total of 216 primary care patients with depression and elevated CVD risk were randomized to 12 months of the eIMPACT intervention (internet cognitive-behavioral therapy [CBT], telephonic CBT, and select antidepressant medications) or usual primary care. CVD-relevant health behaviors (self-reported CVD prevention medication adherence, sedentary behavior, and sleep quality) and traditional CVD risk factors (blood pressure and lipid fractions) were assessed over 12 months. Incident CVD events were tracked over four years using a statewide health information exchange.

RESULTS

The intervention group exhibited greater improvement in depressive symptoms (p < 0.01) and sleep quality (p < 0.01) than the usual care group, but there was no intervention effect on systolic blood pressure (p = 0.36), low-density lipoprotein cholesterol (p = 0.38), high-density lipoprotein cholesterol (p = 0.79), triglycerides (p = 0.76), CVD prevention medication adherence (p = 0.64), or sedentary behavior (p = 0.57). There was an intervention effect on diastolic blood pressure that favored the usual care group (p = 0.02). The likelihood of an incident CVD event did not differ between the intervention (13/107, 12.1%) and usual care (9/109, 8.3%) groups (p = 0.39).

CONCLUSIONS

Successful depression treatment alone is not sufficient to lower the heightened CVD risk of people with depression. Alternative approaches are needed.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02458690.

Transdiagnostic and transtherapeutic strategies for optimising autobiographical memory

Our memories for past personally experienced autobiographical events play an important role in therapy, irrespective of presenting issue, diagnoses or therapeutic modality. Here, we summarise evidence for how autobiographical memory abilities can influence our mental health and the relevance of this for the treatment of mental health problems. We then guide the reader through principles and strategies for optimising autobiographical memory within treatment. We ground these recommendations within research for stand-alone interventions for improving autobiographical memory and from studies of how to support the formation and retrieval of therapeutic memories. Options are given for clinicians to guide clients in improving retrieval of autobiographical memories within treatment, for improving autobiographical memory for the therapeutic experience itself, and for creating improvements in autobiographical memory that endure post-treatment. We also provide worksheets for clinicians to use within treatment.

Digital cognitive behavioral therapy for insomnia for people with comorbid psychological distress: A large scale randomized controlled trial

STUDY OBJECTIVES

To examine if comorbid anxiety and depression symptoms (psychological distress) moderate intervention effect in participants receiving digital Cognitive Behavioral Therapy for Insomnia (dCBT-I) in a large-scale randomized controlled trial (RCT), compared to a patient education (PE) control condition. Further, we investigate if dCBT-I reduced levels of psychological distress for those with insomnia and comorbid psychological distress.

METHODS

1721 participants with insomnia completed online assessments of sleep, fatigue and psychological distress, at baseline and at nine-week follow-up. Primary outcome was Insomnia Severity Index (ISI), and secondary outcomes included self-reported sleep (diary), cognition, fatigue, and psychological distress. Participants with psychological distress (HADS>16) were separated from participants without psychological distress. Linear mixed models in SPSS were conducted to test the effects of the intervention.

RESULTS

At nine-week follow-up we found no difference in effect of the intervention between those who had comorbid psychological distress vs. those without psychological distress in terms of insomnia severity (p = 0.552) and fatigue (p = 0.744). Both groups had large effect size improvements on insomnia severity (p < 0.001=), small to medium (Cohen d < 0.08) improvements on fatigue (p < 0.01=) and sleep efficiency (p < 0.001), and small improvement on other sleep diary measures, compared to their respective control group. The psychological distress group showed a small, but statistically significant decrease in psychological distress (d = 0.2, p < 0.05) with dCBT-I compared to PE.

CONCLUSION

dCBT-I is a viable treatment for Insomnia also for those who have comorbid psychological distress.

Identifying mechanistic links between sleep disturbance and binge eating: the role of depressed mood

Global sleep disturbance is robustly linked with a subjective sense of loss-of-control over eating (LOC). Depressed mood has been proposed as a mechanism to explain the bi-directional relationship between sleep disturbance and LOC eating. The current study evaluated whether sleep disturbance indirectly affects LOC eating via depressed mood. Adults seeking treatment for a DSM-5 binge-spectrum eating disorder (e.g. bulimia nervosa, binge-eating disorder) were recruited (n = 79) and asked to complete self-report questionnaires assessing sleep disturbance and depression, and a semi-structured interview assessing LOC eating. Tests of indirect effects evaluated the effect of depressed mood on the association between global sleep disturbance and LOC frequency covarying for BMI and parent study. A significant indirect effect of depressed mood on the association between global sleep disturbance and frequency of LOC eating was identified (Est = 1.519, S.E. = 0.859, p = .033). The indirect effect of depressed mood on the association between sleep disturbance and LOC eating may indicate that depressed mood serves as a mechanistic link between sleep disturbance and LOC eating. The findings offer preliminary support for adjunctive treatments targeting both sleep disturbance and depressed mood for LOC eating. Future research should explore these pathways in a larger clinical sample.

A systematic review and meta-analysis on the efficacy of sleep interventions to treat suicidal ideation

Researchers at the intersection of sleep and suicide research have advocated for investigation of sleep disturbances as a therapeutic target for the purposes of treating and preventing suicide. This study aims to provide the first systematic review and meta-analysis on the efficacy of sleep interventions to treat suicidal ideation. This systematic review and meta-analysis, registered with the International Prospective Register of Systematic Reviews, was conducted in PsycINFO, through Ovid. A sample of eight articles were deemed eligible and a total of 21 effect sizes were included. Egger's test suggested that no publication bias was present (b = 0.3695; p = 0.0852). The pooled effect size for sleep treatments on suicidal ideation was small (g = -0.0931, p = 0.3047). Significant heterogeneity was present (I2 = 44.13%), indicating the need for moderator analyses. Treatment type (medication versus psychotherapy; g = -0.2487, p = 0.3368), sex (g = -0.0007; p = 0.9263), and race (g = -0.0081; p = 0.1624) were all considered as moderators and were all found to be insignificant. This meta-analysis revealed that initial studies exploring the efficacy of sleep interventions on suicidal ideation demonstrate small effect sizes. Despite this, the handful of studies included in this review nonetheless highlight this as an important area for continued exploration. The use of larger and more diverse samples, as well as intentionally designing sleep-related interventions to improve ideation and behaviour, have the potential to enhance the efficacy of sleep interventions for this novel purpose.

Irregular sleep is linked to poorer mental health: A pooled analysis of eight studies

OBJECTIVES

Greater sleep disturbances on average are a risk factor for impaired mental health. Recent research has shown that more intraindividual variability (i.e., inconsistency) in sleep (hereafter called "sleep intraindividual variability") may also be uniquely related to mental health, even above the influence of mean sleep patterns averaged across days. The current study examined associations between sleep intraindividual variability and symptoms of anxiety, depression, and insomnia across different facets of sleep intraindividual variability (sleep duration, efficiency, and timing) and sleep measurement types (sleep diary and actigraphy).

METHODS

We pooled eight datasets (N = 3053 participants) that assessed repeated measures of sleep diary- and/or actigraphy-determined sleep across multiple days, as well as one-time measures of mental health or sleep disorder symptoms (i.e., anxiety, depression, and insomnia). Multilevel regression analyses were conducted to examine associations between sleep intraindividual variability and mental health or sleep disorder symptoms.

RESULTS

Greater diary- and actigraphy-determined sleep duration intraindividual variability was associated with more depression symptoms (diary: b=0.02, p < .001; actigraphy: b=0.03, p = .006) and more insomnia symptoms (diary: b=0.02, p < .001; actigraphy: b=0.02, p < .001). Greater diary-determined sleep efficiency intraindividual variability was associated with fewer anxiety symptoms (b=-0.23, p = .019) and fewer insomnia symptoms (b=-0.15, p < .001). Greater diary- and actigraphy-determined sleep midpoint intraindividual variability was associated with more insomnia symptoms (diary: b=0.41, p = .044; actigraphy: b=0.66, p = .021).

CONCLUSIONS

More inconsistent sleep duration and sleep timing may be a correlate of poorer mental health. Future experimental work should examine whether stabilizing sleep patterns can improve mental health outcomes.

Negative attention bias and attentional control as mechanisms in the association between insomnia and depression in young people

Evidence supports a causal role of insomnia in the development and maintenance of depression, yet mechanisms underlying this association in young people are not well established. Attention biases have been implicated separately in the sleep and depression fields and represents an important candidate mechanism. Poor sleep may lead to a negative attention bias (characteristic of depression) by impacting attentional control. This study assessed the hypothesis that attentional control and negative attention bias would sequentially mediate the relationship between insomnia and depressive symptoms in an unselected sample of young people (17-24 years). Concerns have been raised regarding the psychometric properties of tasks used to measure attention bias, and a Dual-Probe Task is emerging as a more reliable measure. Participants (N = 275, Male = 59, Mage = 19.40) completed the Dual-Probe Task, a behavioural measure of attentional control, and self-report measures of insomnia and depression. Participants completed a one-week sleep diary. Results were consistent with negative attention bias, but not attentional control, as a mechanism which partially accounts for the relationship between sleep (i.e., insomnia severity, sleep duration, sleep efficiency, sleep latency) and depression. This study highlights sleep and negative attention bias as potentially modifiable risk factors to reduce depressive symptoms in young people.

Sleep Disruption Moderates the Daily Dynamics of Affect and Pain in Sickle Cell Disease

Persons with sickle cell disease (SCD) often experience pain that can interfere with quality of life and daily activities. Pain can modulated by affect and sleep continuity; however, few studies have explored how these factors complementarily influence pain in adults with SCD. The study aims were to investigate 1) whether pain levels were heightened on days characterized by low positive affect and high negative affect, and 2) whether the relationship between affect and pain was intensified following nights of disrupted sleep. Adults with SCD (N = 25) completed ecological momentary assessments and daily sleep diaries. Mixed models were used to analyze the main and interactive effects of daily affect (positive affect and negative affect) and sleep disruption (wake after sleep onset and frequency of awakenings) on both daily average pain and daily maximum pain. Results suggested that daily average pain and maximum pain tended to be higher on days of low positive affect and high negative affect. Furthermore, the frequency of nocturnal awakenings moderated the relationship between positive affect and pain. On days where there were higher frequencies of nocturnal awakenings, low positive affect was associated with both average and maximum pain; however, this association was not observed with lower frequencies of nocturnal awakenings. The association between negative affect and maximum pain was also stronger at higher levels of awakenings. Results highlight the relevance of adjunctive interventions that target affect among populations with SCD and further suggest that sleep continuity may further facilitate these interventions, highlighting the importance of multimodal treatments. PERSPECTIVE: This study examined the effects of affect and sleep on pain among adults with sickle cell disease (SCD). Higher pain occurred on days of low positive affect and high negative affect, particularly following nights of more frequent awakenings. These findings emphasize the importance of addressing affect and sleep in SCD treatment.

A phenomenological inquiry into the costs and consequences of insomnia for veterans with serious mental illness

Many individuals with serious mental illness (i.e. schizophrenia spectrum, bipolar or major depressive disorders, with serious functional impairments) have insomnia symptoms. Insomnia is a common reason for mental health referrals in the Veterans Health Administration. The primary aim of this study was to explore the costs (what participants lose or what trade-offs they make due to insomnia) and consequences (how insomnia impacts functioning) of insomnia for veterans with serious mental illness. Semi-structured interviews of 20 veterans with insomnia and serious mental illness were collected as data using an inductive phenomenological approach. Two main themes were identified: Sleep Affects Mental Health and Functioning; and Compromising to Cope. Results illuminate pathways by which sleep effort destabilizes functional recovery, and illustrate how sleep has multiplicative positive impacts on functioning and mood. Researchers and clinicians alike must explore supporting people with serious mental illness in replacing sleep effort with the recovery of meaningful identity-driven, values-based experiences formerly conceded due to serious mental illness, insomnia or both.

[Insomniac symptoms and suicidality-link and management]

BACKGROUND

A link between insomniac symptoms and suicidality has long been suspected and deserves specific attention.

OBJECTIVE

We examine the current evidence for this relationship from epidemiology and neurobiology in order to propose a targeted management.

MATERIAL AND METHOD

Clinical example and selective Medline-literature research for insomnia symptoms and suicidality.

RESULTS

Epidemiological data and statistical analysis show that symptoms of insomnia are independent risk factors for suicidality. Neurobiological factors associated with combined insomnia symptoms and suicidality are: serotonergic dysfunction and circadian rhythm disorder leading to hypofrontality with reduced problem solving capacity and impaired emotional and impulse-control. Social isolation, recurrent rumination, comorbid psychiatric disorders, access to potentially lethal drugs or weapons need urgent evaluation in patients with a combination of suicidality and symptoms of insomnia.

CONCLUSION

patients with insomnia and further risk factors for suicide need to be treated resolutely and at an early stage. Modern sleep-promoting antidepressants with low toxicity and antipsychotics must be preferred in the treatment of patients with insomniac sleep disorders and suicidality. Multimodal anti-insomnia and anti-depressive therapy adapted to the circadian rhythm can exert a favorable influence both on depressive-suicidal and insomnia symptoms and their inherent risks.

Treatment for Insomnia Symptoms is Associated with Reduced Depression Among Older Adults: A Propensity Score Matching Approach

OBJECTIVES

The study aimed to investigate the effect of utilization of treatment for insomnia symptoms on the prevalence of major depressive disorder among older adults in India.

METHODS

We used the data from the Longitudinal Ageing Study in India (LASI), 2017-18. The sample included 10,911 older individuals who reported insomnia symptoms. The propensity score matching (PSM) approach was used to compare the depressive disorder among those who received vs. not received treatment.

RESULTS

Only 5.7% of older adults reporting insomnia symptoms received treatment. On average, prevalence of depressive disorder among men and women who received treatment for insomnia symptoms was lesser by 0.79 and 0.33 points, respectively, than those who did not receive treatment. In the matched sample, treatment for insomnia symptoms was significantly associated with lesser prevalence of depression for both older men (β= -0.68, p < .001) and older women (β= -0.62, p < .001).

CONCLUSIONS

The current findings suggest that treatment for insomnia symptoms can reduce the risk of depressive disorder among older adults and the effects are higher among older men than women.

Abnormal amplitude of low-frequency fluctuations associated with sleep efficiency in major depressive disorder

BACKGROUND

Sleep disturbance is one of the most frequent somatic symptoms in major depressive disorder (MDD), but the neural mechanisms behind it are not well understood. Sleep efficiency (SE) is a good indicator of early awakening and difficulty falling asleep in MDD patients. Our study aimed to investigate the relationship between sleep efficiency and brain function in MDD patients.

METHODS

We recruited 131 MDD patients from the Fourth People's Hospital in Hefei, and 71 well-matched healthy controls who were enrolled from the community. All subjects underwent resting-state functional MRI. Brain function was measured using the fractional amplitude of low-frequency fluctuation (fALFF), sleep efficiency was objectively measured by polysomnography (PSG), and clinical scales were used to evaluate depressive symptoms and sleep status. Multivariate regression analysis was performed to assess the relationship between the amplitude of the low frequency fluctuation fraction and sleep efficiency.

RESULT

Three brain regions with relevance to sleep efficiency in MDD patients were found: inferior occipital gyrus (Number of voxels = 25, peak MNI coordinate x/y/z = -42/-81/-6, Peak intensity = 4.3148), middle occipital gyrus (Number of voxels = 55, peak MNI coordinate x/y/z = -30/-78/18, Peak intensity = 5.111), and postcentral gyrus (Number of voxels = 26, peak MNI coordinate x/y/z = -27/-33/60, Peak intensity = 4.1263). But there was no significant relationship between fALFF and SE in the healthy controls.

CONCLUSION

The reduced sleep efficiency in MDD may be related to their lower neural activity in the inferior occipital gyrus, middle occipital gyrus, and postcentral gyrus. The findings may provide a potential neuroimaging basis for the clinical intervention in patients with major depressive disorder with sleep disturbances.

Time-Varying Network Models for the Temporal Dynamics of Depressive Symptomatology in Patients With Depressive Disorders: Secondary Analysis of Longitudinal Observational Data

BACKGROUND

As depression is highly heterogenous, an increasing number of studies investigate person-specific associations of depressive symptoms in longitudinal data. However, most studies in this area of research conceptualize symptom interrelations to be static and time invariant, which may lead to important temporal features of the disorder being missed.

OBJECTIVE

To reveal the dynamic nature of depression, we aimed to use a recently developed technique to investigate whether and how associations among depressive symptoms change over time.

METHODS

Using daily data (mean length 274, SD 82 d) of 20 participants with depression, we modeled idiographic associations among depressive symptoms, rumination, sleep, and quantity and quality of social contacts as dynamic networks using time-varying vector autoregressive models.

RESULTS

The resulting models showed marked interindividual and intraindividual differences. For some participants, associations among variables changed in the span of some weeks, whereas they stayed stable over months for others. Our results further indicated nonstationarity in all participants.

CONCLUSIONS

Idiographic symptom networks can provide insights into the temporal course of mental disorders and open new avenues of research for the study of the development and stability of psychopathological processes.

The role of rumination in the relationship between symptoms of insomnia and depression in adolescents

There is a strong relationship between the symptoms of insomnia and depression, however, little is understood about the factors that mediate this relationship. An understanding of these underlying mechanisms may inform the advancement of existing treatments to optimise reductions in insomnia and depression when they co-occur. This study examined rumination and unhelpful beliefs about sleep as mediators between symptoms of insomnia and depression. It also evaluated the effect of cognitive behavioural therapy for insomnia (CBT-I) on rumination and unhelpful beliefs about sleep, and whether these factors mediated the effect of CBT-I on depressive symptoms. A series of mediation analyses and linear mixed modelling were conducted on data from 264 adolescents (12-16 years) who participated in a two-arm (intervention vs. control) randomised controlled trial of Sleep Ninja®, a CBT-I smartphone app for adolescents. Rumination, but not unhelpful beliefs about sleep, was a significant mediator between symptoms of insomnia and depression at baseline. CBT-I led to reductions in unhelpful beliefs about sleep, but not in rumination. At the between-group level, neither rumination, nor unhelpful beliefs about sleep emerged as mechanisms underlying improvement in depression symptoms, however, rumination mediated within-subject improvements following CBT-I. The findings suggest rumination links symptoms of insomnia and depression and provide preliminary evidence that reductions in depression following CBT-I occurs via improvements in rumination. Targeting rumination may improve current therapeutic approaches.

Does a program-based cognitive behavioral therapy affect insomnia and depression in menopausal women? A randomized controlled trial

BACKGROUND

Menopausal women often complain of a range of physical and psychological symptoms known as menopausal syndrome. These symptoms are associated with fluctuating hormone levels, sleep disturbances, and mood swings.

AIM

This study aimed to examine the efficacy of a program-based cognitive behavioral group therapy (CBT) for insomnia and depression among women experiencing menopause.

METHODS

A randomized controlled trial of 88 women experiencing menopause was conducted in Egypt from June to September 2022 in outpatient clinics at Mansoura University Hospitals in Egypt. Participants were randomly assigned to a control group (45 women) and an intervention group (43 women). The intervention group received 7 weeks of CBT sessions. Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), and Beck Depression Inventory 2nd Edition (BDI-II) were administered before and after the intervention.

RESULTS

In the intervention group, there was a significant difference in scores of the subdomains of PSQI, including sleep efficiency, daytime dysfunction, subjective sleep quality, and sleep disturbance (t = 8.911, 11.77, 7.638, and 11.054, respectively), while no significant difference in domains of using sleep medication, sleep duration, and sleep latency. Significant improvements were observed between pre-and-post-intervention in the intervention group for the total scores of PSQI, ISI, and BDII-II (t = 12.711, 16.272, and 12.384, respectively), indicating a large effect size for the three studied variables (r = .81, .87, .8, respectively).

LINKING EVIDENCE TO ACTION

This study demonstrated the efficacy of group CBT for lowering insomnia and depression in women experiencing menopause. Thus, results indicated the need of considering prompt and appropriate interventions such as CBT as a safe treatment option to prevent the aggravation of sleep and emotional problems for menopausal women.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT05920460.

Sex differences in response to cognitive behavioural therapy for insomnia: A chart review of 455 patients with chronic insomnia

BACKGROUND

Insomnia is more prevalent in females, however studies examining sex differences in response to insomnia treatment are scarce. This study assessed sex-specific differences in cognitive behavioural therapy for insomnia (CBT-I)-related changes in insomnia symptoms in a large clinical cohort.

METHODS

A chart review was conducted of a clinical cohort (females n = 305, males n = 150) referred to a sleep clinic. Participants had a registered psychologist confirm diagnosis of chronic insomnia according to DSM-IV/V criteria and a Level 1 or 2 sleep study. Daily sleep diaries and questionnaires including the Insomnia Severity Index (ISI), Flinders Fatigue Scale (FFS), the Daytime Feelings and Functioning Scale (DFFS), and the Depression, Anxiety and Stress Scale-21 items (DASS), were administered at baseline, post-treatment, and three-month follow-up. Linear mixed models determined interactions between sex and timepoint on symptoms.

RESULTS

Mean (SD) age was 51.7 yrs (15.7, range = 18-90 yrs), and mean BMI was 26.3 kg/m2 (4.9), neither of which differed by sex. At pre-treatment, females demonstrated higher objective total sleep time (min) [343.5 (97.6) vs 323.8 min (92.1), p = 0.044], ISI [19.7 (4.2) vs 18.6 (4.4), p = 0.033], and FFS scores [19.2 (6.0) vs 16.9 (7.2), p = 0.003]. Compared to males, females experienced a greater reduction in FFS and DFFS scores and DASS depressive symptoms (p for interaction: 0.017, 0.043, 0.016 respectively) from baseline to follow-up. The greater reduction in depressive symptoms did not persist after controlling for age, BMI, and sleep apnea severity. Subjective total sleep time similarly increased across treatment for both males [baseline: 335.7 (15.1), post: 357.9 (15.5)] and females [baseline: 318.3 (10.4), post: 354.4 (10.7)], p for interaction: 0.22.

CONCLUSION

Females and males experience similar, substantial benefits from CBT-I after accounting for comorbidities, suggesting the same treatment can resolve insomnia in both sexes.

Psychosocial moderators of polygenic risk scores of inflammatory biomarkers in relation to GrimAge

GrimAge acceleration has previously predicted age-related morbidities and mortality. In the current study, we sought to examine how GrimAge is associated with genetic predisposition for systemic inflammation and whether psychosocial factors moderate this association. Military veterans from the National Health and Resilience in Veterans study, which surveyed a nationally representative sample of European American male veterans, provided saliva samples for genotyping (N = 1135). We derived polygenic risk scores (PRS) from the UK Biobank as markers of genetic predisposition to inflammation. Results revealed that PRS for three inflammatory PRS markers-HDL (lower), apolipoprotein B (lower), and gamma-glutamyl transferase (higher)-were associated with accelerated GrimAge. Additionally, these PRS interacted with a range of potentially modifiable psychosocial variables, such as exercise and gratitude, previously identified as associated with accelerated GrimAge. Using gene enrichment, we identified anti-inflammatory and antihistamine drugs that perturbate pathways of genes highly represented in the inflammatory PRS, laying the groundwork for future work to evaluate the potential of these drugs in mitigating epigenetic aging.

The effect of single-component sleep restriction therapy on depressive symptoms: A systematic review and meta-analysis

Sleep restriction therapy is a behavioural component within cognitive behavioural therapy for insomnia and is an effective standalone treatment for insomnia, but its effect on depressive symptoms remains unclear. This review aimed to synthesise and evaluate the impact of single-component sleep restriction therapy on depressive symptoms relative to a control intervention. We searched electronic databases and sleep-related journals for randomised controlled trials and uncontrolled clinical trials, published from 1 January 1986 until 19 August 2023, that delivered sleep restriction therapy to adults with insomnia. Random-effects meta-analysis of standardised mean differences and Cochrane risk of bias assessment were performed on randomised controlled trials, while uncontrolled clinical trials were discussed narratively. The meta-analysis was pre-registered on PROSPERO (ID: CRD42020191803). We identified seven randomised controlled trials (N = 1102) and two uncontrolled clinical trials (N = 22). Findings suggest that sleep restriction therapy is associated with a medium effect for improvement in depressive symptoms at post-treatment (Nc  = 6, g = -0.45 [95% confidence interval = -0.70 to -0.21], p < 0.001) and a small effect at follow-up (Nc  = 4, g = -0.31 [95% confidence interval = -0.45 to -0.16], p < 0.001). Five of the seven included randomised controlled trials were judged to have a high risk of bias. Standalone sleep restriction therapy appears to be efficacious for improving depressive symptoms at post-treatment and follow-up. However, conclusions are tentative due to the small number of trials and because none of the trials was performed in a population with clinically defined depression. Large-scale trials are needed to test the effect of sleep restriction therapy in patients experiencing depression and insomnia. Findings also highlight the need to improve the standardisation and reporting of sleep restriction therapy procedures, and to design studies with more rigorous control arms to reduce potential bias.

Directional associations among real-time activity, sleep, mood, and daytime symptoms in major depressive disorder using actigraphy and ecological momentary assessment

Previous research has suggested that individuals with major depressive disorder (MDD) experienced alterations in sleep and activity levels. However, the temporal associations among sleep, activity levels, mood, and daytime symptoms in MDD have not been fully investigated. The present study aimed to fill this gap by utilizing real-time data collected across time points and days. 75 individuals with MDD and 75 age- and gender-matched healthy controls were recruited. Ecological momentary assessments (EMA) were adopted to assess real-time mood status for 7 days, and actigraphy was employed to measure day-to-day sleep-activity patterns. Multilevel modeling analyses were performed. Results revealed a bidirectional association between mood/daytime symptoms and activity levels across EMA intervals. Increased activity levels were predictive of higher alert cognition and positive mood, while an increase in positive mood also predicted more increase in activity levels in depressed individuals. A bidirectional association between sleep and daytime symptoms was also found. Alert cognition was found to be predictive of better sleep in the subsequent night. Contrariwise, higher sleep efficiency predicted improved alert cognition and sleepiness/fatigue the next day. A unidirectional association between sleep and activity levels suggested that higher daytime activity levels predicted a larger increase in sleep efficiency among depressed individuals. This study indicated how mood, activity levels, and sleep were temporally and intricately linked to each other in depressed individuals using actigraphy and EMA. It could pave the way for novel and efficacious treatments for depression that target not just mood but sleep and activity levels.

Characteristics of Patients with Subjective Sleep Problems after Cognitive Behavioral Therapy for Insomnia: Secondary Analyses of a Randomized Controlled Trial

Objective  Cognitive behavioral therapy for insomnia (CBT-I) is the first-line treatment for insomnia, but half of the patients do not reach remission. This study aimed to explore subjective remission by investigating the characteristics of patients who reported lingering sleep problems after CBT-I. Methods  Secondary analyses of a randomized controlled trial of group CBT-I in 72 primary care patients with insomnia disorder. Sociodemographic characteristics and outcomes (insomnia severity, sleep variables, hypnotics use, fatigue, depressive symptoms, and dysfunctional beliefs/attitudes), including baseline data and symptom change, were investigated in relation to patients' posttreatment response to the yes-or-no question "Would you say that you have sleep problems?" Results  A total of 56.9% of patients reported sleep problems after CBT-I. At baseline, they had worse depressive symptoms (14.9 (SD 7.5) vs. 10.2 (SD 5.9), p  = 0.006) and more awakenings (2.6 (SD 1.5) vs. 1.8 (SD 1.3), p  = 0.034) than those in subjective remission from sleep problems. Patients in the non-remission and remission groups showed similar improvements in sleep, fatigue, and depressive symptoms, but patients in the non-remission group had improved less in insomnia severity, dysfunctional beliefs/attitudes about sleep, and hypnotic use. In patients with more pronounced depressive symptoms before CBT-I, change in depressive symptoms during treatment partially explained subjective remission from sleep problems. Discussion  More severe depressive symptoms prior to CBT-I and less improvements in depressive symptoms during treatment predicted remaining subjective sleep problems after treatment. These findings highlight the importance of assessing depressive symptoms in primary care patients with insomnia, as patients with pronounced depressive symptoms may need tailored treatment.

The needle in the haystack: Identifying and validating common genes of depression, insomnia, and inflammation

BACKGROUND

Insomnia, inflammation, and depression are often co-occurring conditions. The mechanisms underlying these conditions remain unclear.

MATERIALS AND METHODS

We collected microarray datasets of depression and insomnia from GEO and analyzed them for differentially expressed genes (DEGs). We then overlapped the DEGs with a list of inflammatory response-related genes to identify genes associated with all three conditions. We next performed analyses of enrichment analyses, KEGG mapping, and protein-protein interaction to identify hub genes. Furthermore, we established a depression rat model with inflammation and insomnia to validate the potential genes. At last, a two-sample Mendelian randomization (MR) study was conducted to confirm the association of identified target genes with depression outcomes.

RESULTS

We obtained 32 common DEGs associated with the depression, insomnia and inflammatory, and found that the PI3K-AKT signaling pathway might be involved in the inflammatory response in insomnia and depression. CREB1, CYBB, FYN, and CCR5 were identified as targets for the next validation. In model rats, the CCR5 and PI3K-AKT pathways were significantly up-regulated, while the model group exhibited significantly lower hippocampal p-CREB protein expression. The MR study suggested a potential causal relationship between CREB1 and the risk of depression (OR = 1.11, p = 0.013).

LIMITATIONS

The identified potential genes and pathways require further laboratory and clinical evidence verification.

CONCLUSION

We identified four potential inflammatory related-genes (CREB1, CYBB, FYN, and CCR5). CREB1 may be a potential inflammatory response-related biomarker and drug target for depression and insomnia, as validated by the followed rat model and MR study.

Examining the barriers and recommendations for integrating more equitable insomnia treatment options in primary care

Chronic insomnia is the most common sleep disorder, occurring in ~32 million people in the United States per annum. Acute insomnia is even more prevalent, affecting nearly half of adults at some point each year. The prevalence of insomnia among primary care patients is even higher. The problem, however, is that most primary care providers do not feel adequately knowledgeable or equipped to treat sleep-related concerns. Many providers have never heard of or have not been trained in cognitive behavioral therapy for insomnia or CBT-I (the first line treatment for insomnia). The focus of the current review is to summarize the factors contributing to why sleep health and insomnia treatment have been mostly neglected, identify how this has contributed to disparities in sleep health among certain groups, particularly racial and ethnic minorities and discuss considerations or potential areas of exploration that may improve access to behavioral sleep health interventions, particularly in primary care.

Identifying major depressive disorder with associated sleep disturbances through fMRI regional homogeneity at rest

BACKGROUND

Anomalies in regional homogeneity (ReHo) have been documented in patients with major depressive disorder (MDD) and sleep disturbances (SDs). This investigation aimed to scrutinize changes in ReHo in MDD patients with comorbid SD, and to devise potential diagnostic biomarkers for detecting sleep-related conditions in patients with MDD.

METHODS

Patients with MDD and healthy controls underwent resting-state functional magnetic resonance imaging scans. SD severity was quantified using the 17-item Hamilton Rating Scale for Depression. Subsequent to the acquisition of imaging data, ReHo analysis was performed, and a support vector machine (SVM) method was employed to assess the utility of ReHo in discriminating MDD patients with SD.

RESULTS

Compared with MDD patients without SD, MDD patients with SD exhibited increased ReHo values in the right posterior cingulate cortex (PCC)/precuneus, right median cingulate cortex, left postcentral gyrus (postCG), and right inferior temporal gyrus (ITG). Furthermore, the ReHo values in the right PCC/precuneus and ITG displayed a positive correlation with clinical symptoms across all patients. SVM classification results showed that a combination of abnormal ReHo in the left postCG and right ITG achieved an overall accuracy of 84.21%, a sensitivity of 81.82%, and a specificity of 87.50% in identifying MDD patients with SD from those without SD.

CONCLUSION

We identified disrupted ReHo patterns in MDD patients with SD, and presented a prospective neuroimaging-based diagnostic biomarker for these patients.

Associations between insomnia symptom trajectories with depression and self-harm behaviors in Chinese college students before and during the COVID-19 pandemic: A five-wave longitudinal investigation

BACKGROUND

Sleep problems are highly prevalent during COVID-19 pandemic. However, only very limited studies have examined the changing patterns of insomnia symptom before and during the COVID-19 pandemic, and most of these studies were limited to two-wave designs and the variable-centered approach.

METHODS

The data was taken from a large-scale health-related cohort among Chinese college students. This cohort was a five-wave design and 3834 participants who completed at least two waves were included in the present study. Growth mixture modeling (GMM) was used to estimate trajectory classes for insomnia symptoms, followed by binary logistic regression to explore the association between trajectory classes and subsequent mental health problems.

RESULTS

GMM analyses extracted four distinct trajectories of insomnia symptoms: stable-low pattern (n = 2897, 75.6 %), increasing pattern (n = 405, 10.6 %), decreasing pattern (n = 182, 4.7 %), and stable-high pattern (n = 350, 9.1 %). Additionally, we found that individuals in stable-high and increasing patterns were more likely to experience mental health problems after the COVID-19 pandemic even after adjusting significant covariates and outcomes at baseline.

CONCLUSIONS

Appreciable heterogeneity in insomnia symptoms among college students was revealed before and during the COVID-19 pandemic. About 20 % of college students were classified as high-risk patterns of insomnia symptoms. Psychological interventions should target such vulnerable groups to reduce the rates of mental health problems.

Disseminating sleep education to graduate psychology programs online: a knowledge translation study to improve the management of insomnia

STUDY OBJECTIVES

Despite the negative impact of poor sleep on mental health, evidence-based insomnia management guidelines have not been translated into routine mental healthcare. Here, we evaluate a state-wide knowledge translation effort to disseminate sleep and insomnia education to graduate psychology programs online using the RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) evaluation framework.

METHODS

Using a non-randomized waitlist control design, graduate psychology students attended a validated 6-hour online sleep education workshop delivered live as part of their graduate psychology program in Victoria, Australia. Sleep knowledge, attitudes, and practice assessments were conducted pre- and post-program, with long-term feedback collected at 12 months.

RESULTS

Seven out of ten graduate psychology programs adopted the workshop (adoption rate = 70%). The workshop reached 313 graduate students, with a research participation rate of 81%. The workshop was effective at improving students' sleep knowledge and self-efficacy to manage sleep disturbances using cognitive behavioral therapy for insomnia (CBT-I), compared to the waitlist control with medium-to-large effect sizes (all p < .001). Implementation feedback was positive, with 96% of students rating the workshop as very good-to-excellent. Twelve-month maintenance data demonstrated that 83% of students had used the sleep knowledge/skills learned in the workshop in their clinical practice. However, more practical training is required to achieve CBT-I competency.

CONCLUSIONS

Online sleep education workshops can be scaled to deliver cost-effective foundational sleep training to graduate psychology students. This workshop will accelerate the translation of insomnia management guidelines into psychology practice to improve sleep and mental health outcomes nationwide.

The role of affect in associations between sleep disturbances and posttraumatic stress disorder symptoms: A systematic review

Strong evidence supports a bidirectional association between sleep disturbances and posttraumatic stress disorder (PTSD). Affect - temporary internal states experienced as feeling good or bad, energized or enervated - may play a central role in explaining this link. The current systematic review summarizes the literature on associations between sleep, PTSD, and affect among trauma-exposed adults. We systematically searched five electronic databases (PubMed, PsycInfo, PTSDpubs, Web of Science, CINAHL) using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Of 2656 screened articles, 6 studies met inclusion criteria. Four findings emerged: (1) greater insomnia symptom severity predicted greater PTSD symptom severity above the influence of negative affect, (2) negative affect mediated the effect of sleep quality on next-day PTSD symptom severity, (3) positive affect mediated the effect of PTSD symptom severity on insomnia symptom severity and sleep disturbances, and (4) greater negative affect (specifically, greater anger) was associated with greater severity of PTSD and sleep disturbances. Findings highlight areas for future research, such as the need to investigate more dimensions, timescales, and methods of studies simultaneously assessing affect, sleep, and PTSD, as well as the need for more longitudinal and experimental work to determine causality across these constructs.

Postpartum Insomnia and Poor Sleep Quality Are Longitudinally Predictive of Postpartum Mood Symptoms

OBJECTIVE

Insomnia and poor sleep quality are frequently reported by perinatal women. Both are noted to increase the risk of postpartum depression, with less known about their association with postpartum anxiety. This study sought to assess whether perinatal sleep disturbances predicted depression and anxiety symptoms across each month of the first 6 months postpartum in women with a history of depression.

METHODS

Pregnant women without active depression at enrollment ( N = 159), 18 to 45 years of age, were recruited. In late pregnancy and for up to 6 months postpartum, women completed monthly online questionnaires including the Insomnia Symptom Questionnaire, Pittsburgh Sleep Quality Index, Edinburgh Postnatal Depression Scale, and Generalized Anxiety Disorder-7. Repeated-measures multilevel models were used to predict depression and anxiety across the postpartum.

RESULTS

The prevalence of insomnia was 20.4%, and the prevalence of poor sleep quality was 67.8% across the first 6 months postpartum. Postpartum insomnia and poor sleep quality at the between-subject and within-subject levels tended to uniquely predict greater depressive and anxiety symptoms, even after controlling for demographic characteristics, prenatal insomnia, and prenatal poor sleep quality.

CONCLUSIONS

Most of the women in our sample had sleep disturbances across the perinatal period. Consistent with the extant literature, postpartum insomnia and poor sleep quality, but not prenatal measures of sleep, longitudinally predicted greater postpartum depression and anxiety symptoms. The chronic sleep deprivation of insomnia and the subjective experience of poor sleep quality are uniquely relevant risks of postpartum mood disorders. Evaluation and mitigation of perinatal sleep disturbance are ideal opportunities to reduce postpartum mood disorders and subsequent health outcomes.

Sleep disturbance as transdiagnostic mediator between adverse childhood experiences and psychopathology in children and adolescents: A structural equation modeling meta-analysis

Background

Increasing research efforts have focused on understanding why some individuals develop severe psychopathology after exposure to adverse childhood experiences (ACEs). Sleep disturbances (insomnia, nightmares, and sleep disorders) are prevalent sequelae of ACEs and associated with psychopathology; however, there is no meta-analytic evidence on whether sleep disturbance functions as a transdiagnostic mediator in the relationship between ACEs and psychopathology (internalizing/externalizing disorders and psychosis) in children and adolescents.

Methods

Systematic searches in three databases (PubMed; PsycINFO; Web of Science) identified 98 articles (N = 402,718; age range 1-17 years) and the present study used a novel two-stage meta-analytic structural equation model to investigate whether ACEs predict psychopathology through sleep disturbance. Subgroup analyses determined potential biases due to study design (cross-sectional vs. longitudinal) and geographical differences (Western vs. non-Western countries). Sensitivity analyses evaluated the influence of early childhood (<5 years old) and overlapping symptoms (i.e., nightmares and trauma symptoms) on model stability.

Results

The pooled correlations among ACEs, sleep disturbance, and psychopathology were significant; the effect sizes ranged from moderate to high (r = 0.21 to r = 0.29). The indirect effect from ACEs via sleep disturbance to psychopathology was significant (β = 0.05, 95% CI [0.04, 0.06]). The direct effect of ACEs on psychopathology was significant (β = 0.18, 95% CI 0.13-0.24). Subgroup analyses revealed larger effects for cross-sectional studies than longitudinal studies (Δ χ2 (3) = 9.71, p = 0.021). Sensitivity analyses revealed stable and consistent results.

Conclusions

The present meta-analytic results indicate that sleep disturbance is a transdiagnostic mediator in the relationship between ACEs and psychopathology among children and adolescents. Further research is required to determine the synergistic effects between sleep disturbance and other risk mechanisms, and elucidate the complex pathways that lead to disorder in the aftermath of childhood adversities.

A targeted psychological treatment for sleep problems in young people at ultra-high risk of psychosis in England (SleepWell): a parallel group, single-blind, randomised controlled feasibility trial

BACKGROUND

Sleep disturbance is common and problematic for young people at ultra-high risk of psychosis. Sleep disruption is a contributory causal factor in the occurrence of mental health problems, including psychotic experiences, anxiety, and depression. The implication is that treating sleep problems might have additional benefits on mental health outcomes in individuals at high risk. The present study had two aims: first, to establish the feasibility and acceptability of a randomised controlled trial to treat sleep problems with the aim of reducing psychotic experiences in young people at ultra-high risk of psychosis; and second, to provide proof of concept of the clinical efficacy of the treatment.

METHODS

We did a parallel group, single-blind, randomised controlled feasibility trial in two National Health Service trusts in England. Eligible participants were aged 14-25 years, a patient of mental health services, assessed as being at ultra-high risk of psychosis on the Comprehensive Assessment of At-Risk Mental States, and having current sleep problems (score of ≥15 on the self-report Insomnia Severity Index [ISI]). Participants were randomly assigned (1:1) to either a targeted psychological therapy for sleep problems (SleepWell) plus usual care or usual care alone via an automated online system, with non-deterministic minimisation that balanced participants for ISI score and referring service. The SleepWell therapy was delivered on an individual basis in approximately eight 1-h sessions over 12 weeks. Assessments were done at 0, 3, and 9 months, with trial assessors masked to treatment allocation. The key feasibility outcomes were the numbers of patients identified, recruited, and retained, treatment uptake, and data completion. Treatment acceptability was measured with the Abbreviated Acceptability Rating Profile (AARP). In preliminary clinical assessments, the primary clinical outcome was insomnia at 3 and 9 months assessed with the ISI, reported by randomised group (intention-to-treat analysis). Safety was assessed in all randomly assigned participants. The trial was prospectively registered on ISRCTN, 85601537, and is completed.

FINDINGS

From Nov 18, 2020, to Jan 26, 2022, 67 young people were screened, of whom 40 (60%) at ultra-high risk of psychosis were recruited. Mean age was 16·9 years (SD 2·5; range 14-23), and most participants identified as female (n=19 [48%]) or male (n=19 [48%]) and as White (n=32 [80%]). 21 participants were randomly assigned to SleepWell therapy plus usual care and 19 to usual care alone. All participants provided data on at least one follow-up visit. 39 (98%) of 40 participants completed the primary outcome assessment at 3 and 9 months. 20 (95%) of 21 participants assigned to SleepWell therapy received the prespecified minimum treatment dose of at least four sessions. The median treatment acceptability score on the AARP was 48 (IQR 46 to 48; n=17; maximum possible score 48). At the post-intervention follow-up (3 months), compared with the usual care alone group, the SleepWell therapy group had a reduction in insomnia severity (ISI adjusted mean difference -8·12 [95% CI -11·60 to -4·63]; Cohen's d=-2·67 [95% CI -3·81 to -1·52]), which was sustained at 9 months (ISI adjusted mean difference -5·83 [-9·31 to -2·35]; Cohen's d=-1·91 [-3·06 to -0·77]). Among the 40 participants, eight adverse events were reported in six participants (two [11%] participants in the usual care group and four [19%] participants in the SleepWell therapy group). One serious adverse event involving hospital admission for a physical health problem was reported in the SleepWell therapy group, and one patient in the usual care alone group transitioned to psychosis. None of these events were classed as being related to trial treatment or procedures.

INTERPRETATION

A randomised controlled trial of a targeted psychological sleep therapy for young people at ultra-high risk of psychosis is feasible. Patients can be retained in the trial and assessments done by masked assessors. Uptake of the sleep therapy was high, and we found preliminary evidence of sustained reductions in sleep problems. A definitive multicentre trial is now needed.

FUNDING

NIHR Research for Patient Benefit and NIHR Oxford Health Biomedical Research Centre.

Insomnia

OBJECTIVE

This article provides an overview of the current definitions, diagnostic tools, and overall management of insomnia.

LATEST DEVELOPMENTS

The treatment of insomnia has shifted over time, with a growing emphasis on nonpharmacologic therapies as a first-line intervention and the leveraging of technology to aid in the dissemination of these therapies. With this evolution, the definition of insomnia has changed to reflect a common treatment pathway. As pharmacologic treatment options have increased, so has concern about the dangerous short-term and long-term adverse effects of these treatment options.

ESSENTIAL POINTS

Insomnia is a common disorder, frequently overlapping with other neurologic and psychiatric disorders, which can cause significant distress and disruption to patients' lives. Nonpharmacologic therapies are highly effective and are now considered first-line treatments. Although efficacy is variable, numerous pharmacologic interventions are available, and many options come with considerable concern about adverse effects, particularly in populations over 65 years old.

Residual insomnia in major depressive disorder: a systematic review

Introduction

The ultimate goal in major depressive disorder (MDD) treatment is recovery. A proportion of MDD patients with formal remission experience persistent difficulties, which impair their daily functioning. Residual insomnia is one of the most common residual symptoms. Patients with residual insomnia experience relapse significantly earlier and have a poor prognosis. Little is known about possible ways of treatment and what subtype of insomnia is mostly reported.

Methods

A systematic literature review was carried out in PubMed and Web of Science to synthesize the current status of knowledge about effective treatment methods and insomnia subtypes in residual insomnia in MDD.

Results

A few non-pharmacological treatment methods e.g., Cognitive Behavioral Therapy for Insomnia (CBT-I), Mindfulness-Based Cognitive Therapy (MBCT), behavioral activation (BA) and pharmacological methods (gabapentin, clonazepam) have proven to mitigate residual insomnia. Cognitive Behavioral Therapy for Depression (CBT-D) ameliorates insomnia complaints to a limited extent. Mid-nocturnal insomnia is the most common residual insomnia subtype in MDD patients.

Conclusion

Residual insomnia is a very common complaint and most often appears as mid-nocturnal insomnia. Scarce data points out the benefits from pharmacotherapy, psychotherapy, and BA. More research is needed.

Predictors of health-related quality of life in outpatients with coronary heart disease

Introduction

Health-related quality of life (HRQoL) is an important treatment target in patients with coronary heart disease (CHD) and is associated with poor outcomes. Therefore, it is of clinical importance to identify the key determinants of HRQoL among these patients. There is, however, limited knowledge of how a comprehensive set of psychosocial factors influence HRQoL. We aimed to determine the relative associations of clinical and psychosocial factors with mental and physical components of HRQoL in a sample of CHD outpatients.

Methods

This cross-sectional study included 1,042 patients 2-36 (mean 16) months after a CHD event recruited from two general Norwegian hospitals with a combined catchment area making up 7% of the Norwegian population, representative with regards to demographic and clinical factors. We collected data on HRQoL, demographics, comorbidities, coronary risk factors, and psychosocial factors. HRQoL was assessed using the Short Form 12 (SF12), which comprises a Mental Component Scale (MCS), and the Physical Component Scale (PCS). Crude and multi-adjusted linear regression analyses were used to investigate the association between covariates and MCS and PCS.

Results

Mean age was 61 [standard deviation (SD) 10] years, 20% were females, 18% had type D personality, 20% significant depression symptoms, 14% significant symptoms of anxiety whereas 45% reported insomnia. The presence of type D personality (β: -0.19), significant symptoms of depression (β: -0.15), and the presence of insomnia (β: -0.13) were negatively associated with MCS, but not PCS in multi-adjusted analyses. The presence of chronic kidney disease (β: -0.11) was associated with reduced MCS, whereas the presence of chronic obstructive pulmonary disease (β: -0.08) and low physical activity (β: -0.14) were negatively associated with PCS. Younger age was associated with lower MCS, whereas older age was associated with lower PCS.

Discussion

We conclude that Type D personality, depressive symptoms, insomnia, and chronic kidney disease were the strongest determinants of the mental component of HRQoL. Assessing and managing these psychological factors among CHD outpatients may improve their mental HRQoL.

The Relationship between Insomnia and the Pathophysiology of Major Depressive Disorder: An Evaluation of a Broad Selection of Serum and Urine Biomarkers

Insomnia exhibits a clinically relevant relationship with major depressive disorder (MDD). Increasing evidence suggests that insomnia is associated with neurobiological alterations that resemble the pathophysiology of MDD. However, research in a clinical population is limited. The present study, therefore, aimed to investigate the relationship between insomnia and the main pathophysiological mechanisms of MDD in a clinical sample of individuals with MDD. Data were extracted from three cohorts (N = 227) and included an evaluation of depression severity (Quick Inventory of Depressive Symptomatology, QIDS-SR₁₆) and insomnia severity (QIDS-SR₁₆ insomnia items) as well as serum and urine assessments of 24 immunologic (e.g., tumour necrosis factor α receptor 2 and calprotectin), neurotrophic (e.g., brain-derived neurotrophic factor and epidermal growth factor), neuroendocrine (e.g., cortisol and aldosterone), neuropeptide (i.e., substance P), and metabolic (e.g., leptin and acetyl-L-carnitine) biomarkers. Linear regression analyses evaluating the association between insomnia severity and biomarker levels were conducted with and without controlling for depression severity (M = 17.32), antidepressant use (18.9%), gender (59.0% female; 40.5% male), age (M = 42.04), and the cohort of origin. The results demonstrated no significant associations between insomnia severity and biomarker levels. In conclusion, for the included biomarkers, current findings reveal no contribution of insomnia to the clinical pathophysiology of MDD.

Prospective associations between joint categories of physical activity and insomnia symptoms with onset of poor mental health in a population-based cohort

BACKGROUND

Physical inactivity and insomnia symptoms are independently associated with increased risk of depression and anxiety; however, few studies jointly examine these risk factors. This study aimed to prospectively examine the joint association of physical activity (PA) and insomnia symptoms with onset of poor mental health in adults.

METHODS

Participants from the 2013 to 2018 annual waves of the Household Income and Labour Dynamics in Australia panel study who had good mental health (Mental Health Inventory-5 >54) in 2013, and who completed at least 1 follow-up survey (2014-2018), were included (n = 10,977). Poor mental health (Mental Health Inventory-5 ≤ 54) was assessed annually. Baseline (2013) PA was classified as high/moderate/low, and insomnia symptoms (i.e., trouble sleeping) were classified as no insomnia symptoms/insomnia symptoms, with 6 mutually exclusive PA-insomnia symptom groups derived. Associations of PA-insomnia symptom groups with onset of poor mental health were examined using discrete-time proportional-hazards logit-hazard models.

RESULTS

There were 2322 new cases of poor mental health (21.2%). Relative to the high PA/no insomnia symptoms group, there were higher odds (odds ratio and 95% confidence interval (95%CI)) of poor mental health among the high PA/insomnia symptoms (OR = 1.87, 95%CI: 1.57-2.23), moderate PA/insomnia symptoms (OR = 1.93, 95%CI: 1.61-2.31), low PA/insomnia symptoms (OR = 2.33, 95%CI: 1.96-2.78), and low PA/no insomnia symptoms (OR = 1.14, 95%CI: 1.01-1.29) groups. Any level of PA combined with insomnia symptoms was associated with increased odds of poor mental health, with the odds increasing as PA decreased.

CONCLUSION

These findings highlight the potential benefit of interventions targeting both PA and insomnia symptoms for promoting mental health.

Bidirectional Relationship Between Sleep and Depression

Patients with depression almost inevitably exhibit abnormalities in sleep, such as shortened latency to enter rapid eye movement (REM) sleep and decrease in electroencephalogram delta power during non-REM sleep. Insufficient sleep can be stressful, and the accumulation of stress leads to the deterioration of mental health and contributes to the development of psychiatric disorders. Thus, it is likely that depression and sleep are bidirectionally related, i.e. development of depression contributes to sleep disturbances and vice versa. However, the relation between depression and sleep seems complicated. For example, acute sleep deprivation can paradoxically improve depressive symptoms. Thus, it is difficult to conclude whether sleep has beneficial or harmful effects in patients with depression. How antidepressants affect sleep in patients with depression might provide clues to understanding the effects of sleep, but caution is required considering that antidepressants have diverse effects other than sleep. Recent animal studies support the bidirectional relation between depression and sleep, and animal models of depression are expected to be beneficial for the identification of neuronal circuits that connect stress, sleep, and depression. This review provides a comprehensive overview regarding the current knowledge of the relationship between depression and sleep.

Identifying the potential causal role of insomnia symptoms on 11,409 health-related outcomes: a phenome-wide Mendelian randomisation analysis in UK Biobank

BACKGROUND

Insomnia symptoms are widespread in the population and might have effects on many chronic conditions and their risk factors but previous research has focused on select hypothesised associations/effects rather than taking a systematic hypothesis-free approach across many health outcomes.

METHODS

We performed a Mendelian randomisation (MR) phenome-wide association study (PheWAS) in 336,975 unrelated white-British UK Biobank participants. Self-reported insomnia symptoms were instrumented by a genetic risk score (GRS) created from 129 single-nucleotide polymorphisms (SNPs). A total of 11,409 outcomes from UK Biobank were extracted and processed by an automated pipeline (PHESANT) for the MR-PheWAS. Potential causal effects (those passing a Bonferroni-corrected significance threshold) were followed up with two-sample MR in MR-Base, where possible.

RESULTS

Four hundred thirty-seven potential causal effects of insomnia symptoms were observed for a diverse range of outcomes, including anxiety, depression, pain, body composition, respiratory, musculoskeletal and cardiovascular traits. We were able to undertake two-sample MR for 71 of these 437 and found evidence of causal effects (with directionally concordant effect estimates across main and sensitivity analyses) for 30 of these. These included novel findings (by which we mean not extensively explored in conventional observational studies and not previously explored using MR based on a systematic search) of an adverse effect on risk of spondylosis (OR [95%CI] = 1.55 [1.33, 1.81]) and bronchitis (OR [95%CI] = 1.12 [1.03, 1.22]), among others.

CONCLUSIONS

Insomnia symptoms potentially cause a wide range of adverse health-related outcomes and behaviours. This has implications for developing interventions to prevent and treat a number of diseases in order to reduce multimorbidity and associated polypharmacy.

Internet-Based Cognitive Behavioural Therapy for Individuals With Depression and Chronic Health Conditions: A Systematic Review

Cognitive behavioural therapy (CBT) has heightened the need for internet-delivered intervention for depression with chronic diseases than a traditionally-based treatment procedure, and the need for CBT as an internet-delivered intervention has increased because it scales down the stigma of proceeding to a therapist, saves travel time from different geographical areas, and increases access to the service. This study aimed to evaluate the contemporary evidence for the effectiveness of internet-delivered cognitive behavioural therapy (CBT) as a treatment option for depression with chronic illness (CVD, diabetes, chronic pain, cancer, and chronic obstructive pulmonary disease (COPD)) among adult populations in high-income countries. A systematic search strategy was devised based on selecting search terms, inclusion and exclusion criteria, and refinement processes. Electronic searches were conducted using databases related to healthcare and containing peer-reviewed literature: the Cumulated Index to Nursing and Allied Health Literature (CINAHL), the Excerpta Medica Database (Embase), the Medical Literature Analysis and Retrieval System Online (Medline), and PsycINFO. Key search terms were applied to all databases and combined using Boolean operators to maximise the efficiency of the search. This review included randomised controlled trials (RCTs) evaluating the adult population aged ≥18 years published from 2006-2021. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement was employed to guide the review process. The initial search yielded 134 studies across all databases, which were refined, leading to 18 studies in the final review data set. This review suggests that internet-based CBT is an effective strategy for reducing depressive symptoms in patients with comorbid depression and chronic diseases.

Treating depression with a smartphone-delivered self-help cognitive behavioral therapy for insomnia: a parallel-group randomized controlled trial

BACKGROUND

Despite its efficacy in treating comorbid insomnia and depression, cognitive behavioral therapy for insomnia (CBT-I) is limited in its accessibility and, in many countries, cultural compatibility. Smartphone-based treatment is a low-cost, convenient alternative modality. This study evaluated a self-help smartphone-based CBT-I in alleviating major depression and insomnia.

METHODS

A parallel-group randomized, waitlist-controlled trial was conducted with 320 adults with major depression and insomnia. Participants were randomized to receive either a 6-week CBT-I via a smartphone application, proACT-S, or waitlist condition. The primary outcomes included depression severity, insomnia severity, and sleep quality. The secondary outcomes included anxiety severity, subjective health, and acceptability of treatment. Assessments were administered at baseline, post-intervention (week 6) follow-up, and week 12 follow-up. The waitlist group received treatment after the week 6 follow-up.

RESULTS

Intention to treat analysis was conducted with multilevel modeling. In all but one model, the interaction between treatment condition and time at week 6 follow-up was significant. Compared with the waitlist group, the treatment group had lower levels of depression [Center for Epidemiologic Studies Depression Scale (CES-D): Cohen's d = 0.86, 95% CI (-10.11 to -5.37)], insomnia [Insomnia Severity Index (ISI): Cohen's d = 1.00, 95% CI (-5.93 to -3.53)], and anxiety [Hospital Anxiety and Depression Scale - Anxiety subscale (HADS-A): Cohen's d = 0.83, 95% CI (-3.75 to -1.96)]. They also had better sleep quality [Pittsburgh Sleep Quality Index (PSQI): Cohen's d = 0.91, 95% CI (-3.34 to -1.83)]. No differences across any measures were found at week 12, after the waitlist control group received the treatment.

CONCLUSION

proACT-S is an efficacious sleep-focused self-help treatment for major depression and insomnia.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT04228146. Retrospectively registered on 14 January 2020. http://www.w3.org/1999/xlink">https://clinicaltrials.gov/ct2/show/NCT04228146.

Efficacy of cognitive behavioural therapy for insomnia or sleep disturbance in pregnant women: A systematic review ad meta-analysis

During pregnancy many women may experience negative emotions and sleep disturbances. This systematic review and meta-analysis was conducted to assess the efficacy of cognitive behavioural therapy for insomnia (CBT-I) or sleep disturbance in pregnant women. From the earliest available publications to 15 April 2022, seven electronic literature databases were searched: PubMed, Web of Science, Cochrane Library, Embase, Chinese National Knowledge Infrastructure, Wanfang Data, and VIP Database for Chinese Science and Technology Journal. Randomised controlled trials of CBT-I in pregnant women with insomnia or sleep disorders were included. The methodological bias of the included studies was assessed using the Cochrane risk of bias tool. The meta-analysis was performed using RevMan 5.4 software. Stata Statistical Software: Release 15 was used for sensitivity analysis and publication bias. We included eight randomised controlled trials involving 743 pregnant women. Meta-analysis showed that, compared with the control group, CBT-I significantly improved the Insomnia Severity Index (mean difference [MD] = -4.25, 95% confidence interval [CI, -6.32, -2.19], p < 0.001), The Pittsburgh Sleep Quality Index (MD = -3.30, 95% CI [-4.81, -1.79], p < 0.001), sleep onset latency (standardised mean difference [SMD] = -1.25, 95% CI [-2.01, -0.50], p = 0.001), anxiety (SMD = -0.99, 95% CI [-1.32, -0.67], p < 0.001), and depression (SMD = -0.40, 95% CI [-0.72, -0.07], p = 0.02). No significant differences were found in total sleep time (SMD = 0.31, 95% CI [-0.54, 1.17], p = 0.47) and sleep efficiency (SMD = 0.80, 95% CI [-0.53, 2.13], p = 0.24). CBT-I significantly improved pregnant women's sleep quality, insomnia severity, depression, and anxiety. This meta-analysis provides evidence that CBT-I is valid for insomnia or sleep disturbances during pregnancy.

Digital cognitive behavioral therapy for insomnia on depression and anxiety: a systematic review and meta-analysis

Despite research into the development of digital cognitive behavioral therapy for insomnia (dCBT-I), research into the outcomes of dCBT-I on insomnia and the associated clinical conditions of depression and anxiety have been limited. The PubMed, PsycINFO (Ovid), Embase, and Cochrane databases were searched for randomized controlled trials (RCTs) on adult patients with insomnia also having reported measures of depressive or anxiety symptoms. In total, 2504 articles were identified after duplicate removal, and 22 RCTs were included in the final meta-analysis. At the post-treatment assessment, the dCBT-I group had a small to moderate effect in alleviating depressive (standardized mean difference (SMD) = -0.42; 95% CI: -0.56, -0.28; p < 0.001; k = 21) and anxiety symptoms (SMD = -0.29; 95% CI: -0.40, -0.19; p < 0.001; k = 18), but had a large effect on sleep outcome measures (SMD = -0.76; 95% CI: -0.95, -0.57; p < 0.001; k = 22). When considering treatment adherence, the treatment effects of those in the high adherent groups identified a more robust outcome, showing greater effect sizes than those in the low adherent groups for depression, anxiety, and sleep outcomes. Furthermore, additional subgroup analysis on studies that have used the fully automated dCBT-I treatment without the support of human therapists reported significant treatment effects for depression, anxiety, and sleep outcomes. The results demonstrated that digital intervention for insomnia yielded significant effects on alleviating depressive and anxiety symptoms as well as insomnia symptoms. Specifically, the study demonstrated significant effects on the above symptoms when considering treatment adherence and implementing fully automated dCBT-I.