Comorbidity of insomnia and depression

Mediating effect of depression and acute stress between exposure to Israel-Gaza war media coverage and insomnia: a multinational study from five arab countries

BACKGROUND

In the context of persistent wars and conflicts worldwide, the impact of acute, excessive and constant exposure to media coverage of such events on mental health outcomes becomes a serious problem for public health, and requires therefore urgent investigation to inform an effective prevention and management response. The objective of the present study was to test the hypothesis that war-related media exposure is directly and indirectly associated with insomnia through depression and perceived stress among adults from the general population of different Arab countries.

METHODS

A cross-sectional study was carried-out two weeks after the beginning of Israel-Gaza war on the 7th of October 2023. An anonymous online survey and a snowball sampling method were adopted to collect data. A sample of 2635 general population adults (mean age of 23.98 ± 7.55 years, 73.1% females) took part of this study.

RESULTS

The results of the mediation analysis showed that, after adjusting over potential confounders, depression and perceived stress fully mediated the association between war media exposure and insomnia; higher war media exposure was significantly associated with higher depression (Beta = 0.13; p < .001) and perceived stress (Beta = 0.07; p < .001), whereas higher depression (Beta = 0.43; p < .001) and perceived stress (Beta = 0.31; p < .001) were significantly associated with higher insomnia. It is of note that war media exposure was not significantly and directly associated with insomnia (Beta = - 0.01; p = .178 and Beta = 0.02; p = .098 respectively).

CONCLUSION

The present study is the first to provide evidence that more time spent viewing the horrors of war is significantly associated with insomnia. In addition, symptoms of stress and depression were present as early as two weeks following the beginning of the war, and played a significant role in mediating the association between war media coverage and insomnia. These findings suggest that timely screening for, and management of depression and stress symptoms in clinical and preventive programs might be beneficial for community adults who have been heavily and indirectly exposed to war through media, and present with insomnia.

Cognitive Biases and Insomnia Symptoms in People With and Without Chronic Pain

Chronic pain and insomnia symptoms are highly comorbid; however, the psychological mechanisms driving this comorbidity are not well understood. The aim of the present study was to assess whether 2 cognitive biases that occur separately in chronic pain and insomnia, that is, interpretation bias and attentional bias, are heightened in people with comorbid chronic pain and elevated insomnia symptoms. A final sample of N = 109 people with chronic pain and N = 79 people without pain who varied in insomnia symptoms were recruited through Prolific Academic to complete this cross-sectional study. Participants completed measures of sleep and pain-related interpretation bias (ambiguous sentences task) and attentional bias (dot-probe task), as well as questionnaires assessing insomnia symptoms, pain symptoms, and general psychological symptoms. We found an interaction between pain status and insomnia symptoms for sleep-related interpretation bias. That is, people with chronic pain showed greater sleep-related interpretation bias than those without pain, but only when insomnia symptoms were also elevated. This interaction did not extend to pain interpretation bias or attentional bias, although we did find an elevated pain interpretation bias in people with chronic pain compared to pain-free individuals. We also found that both pain and sleep-related interpretation bias were associated with depression symptoms, suggesting that interpretation bias could potentially drive a trimorbidity of chronic pain, insomnia, and depression. Taken together, these findings suggest promise for the role of interpretation bias in the mutual maintenance of chronic pain and insomnia symptoms and the importance of also considering depression. PERSPECTIVE: This article presents data on the cognitive biases that are present in chronic pain, and that are associated with increased insomnia symptoms. Identifying such cognitive biases could help in explaining the high comorbidity between chronic pain and insomnia, leading to more effective and targeted treatments.

Polysomnographic parameters associated with cognitive function in patients with major depression and insomnia

OBJECTIVE

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

METHOD

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

RESULTS

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

CONCLUSION

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

Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from COVID-19: a national survey in China

Psychiatric syndromes are common following recovery from Coronavirus Disease 2019 (COVID-19) infection. This study investigated the prevalence and the network structure of depression, insomnia, and suicidality among mental health professionals (MHPs) who recovered from COVID-19. Depression and insomnia were assessed with the Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index questionnaire (ISI7) respectively. Suicidality items comprising suicidal ideation, suicidal plan and suicidal attempt were evaluated with binary response (no/yes) items. Network analyses with Ising model were conducted to identify the central symptoms of the network and their links to suicidality. A total of 9858 COVID-19 survivors were enrolled in a survey of MHPs. The prevalence of depression and insomnia were 47.10% (95% confidence interval (CI) = 46.09-48.06%) and 36.2% (95%CI = 35.35-37.21%), respectively, while the overall prevalence of suicidality was 7.8% (95%CI = 7.31-8.37%). The key central nodes included "Distress caused by the sleep difficulties" (ISI7) (EI = 1.34), "Interference with daytime functioning" (ISI5) (EI = 1.08), and "Sleep dissatisfaction" (ISI4) (EI = 0.74). "Fatigue" (PHQ4) (Bridge EI = 1.98), "Distress caused by sleep difficulties" (ISI7) (Bridge EI = 1.71), and "Motor Disturbances" (PHQ8) (Bridge EI = 1.67) were important bridge symptoms. The flow network indicated that the edge between the nodes of "Suicidality" (SU) and "Guilt" (PHQ6) showed the strongest connection (Edge Weight= 1.17, followed by "Suicidality" (SU) - "Sad mood" (PHQ2) (Edge Weight = 0.68)). The network analysis results suggest that insomnia symptoms play a critical role in the activation of the insomnia-depression-suicidality network model of COVID-19 survivors, while suicidality is more susceptible to the influence of depressive symptoms. These findings may have implications for developing prevention and intervention strategies for mental health conditions following recovery from COVID-19.

Insufficient Sleep and Behavioral Health in the Military: A 5-Country Perspective

PURPOSE OF REVIEW

The goal of this paper was to highlight the degree to which sleep, behavioral health, and leader involvement were interrelated using data from militaries in five English-speaking countries: Australia, Canada, New Zealand, the UK, and the United States.

RECENT FINDINGS

Many service members reported sleeping fewer than the recommended 7 h/night: 34.9%, 67.2%, and 77.2% of respondents from New Zealand, Canada, and the United States, respectively. Countries reporting shorter sleep duration also reported fewer insomnia-related difficulties, likely reflecting higher sleep pressure from chronic sleep loss. Across all countries, sleep problems were positively correlated with behavioral health symptoms. Importantly, leader promotion of healthy sleep was positively correlated with more sleep and negatively correlated with sleep problems and behavioral health symptoms. Insufficient sleep in the military is ubiquitous, with serious implications for the behavioral health and functioning of service members. Leaders should attend to these risks and examine ways to promote healthy sleep in service members.

LSD increases sleep duration the night after microdosing

Microdosing psychedelic drugs at a level below the threshold to induce hallucinations is an increasingly common lifestyle practice. However, the effects of microdosing on sleep have not been previously reported. Here, we report results from a Phase 1 randomized controlled trial in which 80 healthy adult male volunteers received a 6-week course of either LSD (10 µg) or placebo with doses self-administered every third day. Participants used a commercially available sleep/activity tracker for the duration of the trial. Data from 3231 nights of sleep showed that on the night after microdosing, participants in the LSD group slept an extra 24.3 min per night (95% Confidence Interval 10.3-38.3 min) compared to placebo-with no reductions of sleep observed on the dosing day itself. There were no changes in the proportion of time spent in various sleep stages or in participant physical activity. These results show a clear modification of the physiological sleep requirements in healthy male volunteers who microdose LSD. The clear, clinically significant changes in objective measurements of sleep observed are difficult to explain as a placebo effect. Trial registration: Australian New Zealand Clinical Trials Registry: A randomized, double-blind, placebo-controlled trial of repeated microdoses of lysergic acid diethylamide (LSD) in healthy volunteers; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=381476 ; ACTRN12621000436875.

Insomnia is more likely to persist than remit after a time of stress and uncertainty: a longitudinal cohort study examining trajectories and predictors of insomnia symptoms

STUDY OBJECTIVES

The study aimed to characterize insomnia symptom trajectories over 12 months during a time of stress and uncertainty, the coronavirus disease 2019 (COVID-19) pandemic. It also aimed to investigate sleep and psychological predictors of persistent insomnia symptoms.

METHODS

This longitudinal cohort study comprised 2069 participants with and without insomnia symptoms during the first year of the pandemic. Participants completed online surveys investigating sleep, insomnia, and mental health at four timepoints over 12 months (April 2020-May 2021). Additional trait-level cognitive/psychological questionnaires were administered at 3 months only.

RESULTS

Six distinct classes of insomnia symptoms emerged: (1) severe persistent insomnia symptoms (21.65%), (2) moderate persistent insomnia symptoms (32.62%), (3) persistent good sleep (32.82%), (4) severe insomnia symptoms at baseline but remitting over time (2.27%), (5) moderate insomnia symptoms at baseline but remitting over time (7.78%), and (6) good sleep at baseline but deteriorating into insomnia symptoms over time (2.85%). Persistent insomnia trajectories were predicted by high levels of sleep reactivity, sleep effort, pre-sleep cognitive arousal, and depressive symptoms at baseline. A combination of high sleep reactivity and sleep effort reduced the odds of insomnia remitting. Higher sleep reactivity also predicted the deterioration of good sleep into insomnia symptoms over 12 months. Lastly, intolerance of uncertainty emerged as the only trait-level cognitive/psychological predictor of insomnia trajectory classes.

CONCLUSIONS

Insomnia was more likely to persist than remit over the first year of the COVID-19 pandemic. Addressing sleep reactivity and sleep effort appears critical for reducing insomnia persistence rates after times of stress and uncertainty.

Sub-chronic and mild social defeat stress exposure to C57BL/6J mice increases visceral fat mass and causes accumulation of cholesterol and bile acids in the liver

Major depressive disorder is accompanied by a high metabolic illness comorbidity and patients with atypical depression are a subgroup with particularly high risk of obesity, dyslipidemia, and metabolic syndrome; however, the underlying mechanisms have not been fully elucidated. In this study, we examined visceral fat deposition, lipid profiles in the liver, and gut microbiota in sub-chronic and mild social defeat stress (sCSDS)-exposed C57BL/6J mice, which exhibit atypical depression-like phenotypes, i.e., increased body weight and food and water intake. We found that visceral fat mass and levels of hepatic cholesterol and bile acids in sCSDS-exposed mice were significantly increased compared to those in controls. The expression of hepatic small heterodimer partner, a negative regulator of cholesterol metabolism, was significantly elevated in sCSDS-exposed mice. We also found that gut microbial diversity and composition including lower relative abundance of Bacteroides spp. and Bifidobacterium spp. in sCSDS-exposed mice were different from those in controls. In addition, relative abundance of Bacteroides spp. and Bifidobacterium spp. was significantly and negatively correlated with body weight, visceral fat mass, and hepatic cholesterol and bile acids levels. These results indicate that sCSDS-exposure induces dysbiosis, and thereby contributes to metabolic disorder development.

Comparative feasibility and preliminary efficacy of CBT for insomnia among adults seeking and not seeking addiction treatment

Two out of three adults seeking treatment for alcohol or other substance use disorders report co-occurring symptoms of insomnia. This study compared the feasibility, acceptability, and preliminary efficacy of cognitive behavioural therapy for insomnia (CBT-I) among adults seeking and not seeking treatment for substance use. Adults with alcohol or other substance use disorders (n = 22, 32% female, 82% White; Mage  = 39.5) completed assessments at baseline, post-treatment, and at 6 week follow-up. Of those, 11 were and 11 were not enrolled in substance use treatment. All received CBT-I. Multiple imputation was used for missing data. Data were analysed using repeated measures analyses of variance. In the substance use treatment group, 6/11 completed post and 5/11 completed follow-up. In the non-treatment group, 9/11 completed post and 7/11 completed follow-up. Participants in both groups reported improvements in insomnia severity, sleep onset latency, and dysfunctional beliefs about sleep, with most effects evident at post and follow-up. There was a marginal group-by-time interaction in the change in frequency of substance use, with only participants not in substance use treatment reporting decreases at follow-up. Participants in substance use treatment reported significant reductions in substance-related problems and symptoms of post-traumatic stress disorder over time; however, they also reported more symptoms at baseline. CBT-I produces similar reductions in insomnia but is relatively less feasible among individuals in (versus not in) treatment for substance use disorder. This may be due to the more complex logistics of accessing CBT-I among those in treatment. We speculate that integrating CBT-I into treatment for addictions may improve feasibility in this population. clinicaltrials.gov NCT04198311.

Genomic SEM applied to explore etiological divergences in bipolar subtypes

BACKGROUND

Bipolar disorder (BD) is an overarching diagnostic class defined by the presence of at least one prior manic episode (BD I) or both a prior hypomanic episode and a prior depressive episode (BD II). Traditionally, BD II has been conceptualized as a less severe presentation of BD I, however, extant literature to investigate this claim has been mixed.

METHODS

We apply genomic structural equation modeling (Genomic SEM) to investigate divergent genetic pathways across BD's two major subtypes using the most recent GWAS summary statistics from the PGC. We begin by identifying divergences in genetic correlations across 98 external traits using a Bonferroni-corrected threshold. We also use a theoretically informed follow-up model to examine the extent to which the genetic variance in each subtype is explained by schizophrenia and major depression. Lastly, transcriptome-wide SEM (T-SEM) was used to identify neuronal gene expression patterns associated with BD subtypes.

RESULTS

BD II was characterized by significantly larger genetic overlap across non-psychiatric medical and internalizing traits (e.g. heart disease, neuroticism, insomnia), while stronger associations for BD I were absent. Consistent with these findings, follow-up modeling revealed a substantial major depression component for BD II. T-SEM results revealed 35 unique genes associated with shared risk across BD subtypes.

CONCLUSIONS

Divergent patterns of genetic relationships across external traits provide support for the distinction of the bipolar subtypes. However, our results also challenge the illness severity conceptualization of BD given stronger genetic overlap across BD II and a range of clinically relevant traits and disorders.

How emotions impact sleep: A quantitative review of experiments

Although sleep and emotional processes are recognized as mutually dependent, the causal impact of emotions on sleep has been comparatively neglected. To appraise evidence for the causal influence of emotions on sleep, a meta-analysis of the existing experimental literature evaluated the strength, form, and context of experimental effects of emotion inductions on sleep parameters (k = 31). Quality of experiments was evaluated, and theoretically-relevant features were extracted and examined as moderating factors of observed effects (i.e., sleep parameter, design, sleep context, types of emotion inductions and emotions). Random-effect models were used to aggregate effects for each sleep parameter, while-mixed effect models examined moderators. There was a significant impact of emotion inductions on delayed sleep onset latency (D = 3.36 min, 95%CI [1.78, 4.94], g = 0.53), but not other parameters. There was little evidence of publication bias regarding sleep-onset latency effect, the studies overall were heterogeneous, sometimes of limited methodological quality, and could only detect moderate-to-large impacts. The findings supported the hypothesis that negative emotions delayed sleep onset, but evidence regarding other sleep parameters was inconclusive. The results call for more targeted investigation to disambiguate distinct features of emotions and their import for sleep.

Anxiety and depression among patients with insomnia during the first wave and the release of the COVID-19 in Northeast China: A cross-sectional survey

BACKGROUND

The global coronavirus disease 2019 (COVID-19) pandemic seriously affected people's lives. We evaluated anxiety and depression among patients with insomnia in northeast China during the first wave and release of COVID-19, providing a basis for the clinical diagnosis and treatment of insomnia.

METHODS

We enrolled 4211 patients with insomnia from January 2016 to February 2020, August 2020 to February 2022, August 2022 to December 2022, and January 2023 to February 2023, from our institution. Sleep quality was evaluated using the Athens Insomnia Scale, Insomnia Severity Index (ISI), and Pittsburgh sleep quality index (PSQI), while mood disorder and fatigue were evaluated using the Hhospital anxiety and depression scale (HAD), Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder (GAD-7), and Fatigue Scale-14 (FS-14).

RESULTS

Insomnia with depression increased in prevalence after COVID-19 compared with before (12.8 % vs. 15.3 %, P < 0.05), while the age of patients decreased [(50.2 ± 15.2) vs. (47.5 ± 16.8), P < 0.05]. The number of patients with insomnia and severe depression increased compared with before COVID-19 (20.3 % vs. 25.3 %, P < 0.05). A higher proportion of patients with insomnia for >2 years had depression (P < 0.05). As the epidemic subsided, insomnia increased among young and male patients (young patients: 55.2 % vs. 37.0 %; male patients: 41 % vs. 27.4 %, respectively; P < 0.05). The proportion of patients with insomnia with anxiety and depression increased (53.8 % vs. 51.8 %，P < 0.05), the proportion with moderate to severe anxiety increased (7.6 % vs. 13.5 %, P < 0.05), and moderate and severe depression decreased (moderate: 25.6 % vs. 19.1 %, severe: 25.8 % vs. 20.3 %, P < 0.05, respectively). Middle-aged and elderly patients had higher PQSI scores in sleep latency, habitual sleep efficiency, subjective sleep quality, and use of sleep medications than young patients (P < 0.05). The PSQI score was positively correlated with the PHQ-9 score (r = 0.526), GAD-7 score (r = 0.563), and FS-14 score (r = 0.316) (P < 0.05).

LIMITATIONS

The study was single-center, the sample size was small, and assessment data were lacking from early in the epidemic. The scale is subjective, which may affect the accuracy.

CONCLUSION

Insomnia with depression increased during COVID-19. The patients were younger than before the epidemic, and a higher proportion with insomnia for >2 years had depression. The proportion of patients with insomnia with anxiety and depression was higher after the epidemic period, and the degree worsened. The proportion of insomnia with depression decreased after the epidemic period, and the degree alleviated. The proportion of young male patients with insomnia increased. Middle aged and elderly patients with insomnia had poor sleep quality, which was positively correlated with anxiety, depression, and fatigue.

Who benefits from indirect prevention and treatment of depression using an online intervention for insomnia? Results from an individual-participant data meta-analysis

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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.

Three measures of internet use, social media use and video game playing as predictors of insomnia during the pandemic among students

Existing research indicates that the relationship between digital technology use and insomnia can largely depend on which digital technology measure and which insomnia measure is considered. Data on 4261 Slovenian tertiary students was gathered through an online survey in February 2021, which included measures of depression and insomnia symptoms, as well as measures of internet, social media and video game use divided into three measurement levels (use, duration of use, addictive use). Regression analysis revealed an apparent effect of measurement level, where addictive use measures consistently outperformed other technology use measures in predicting insomnia. Regardless of measurement level, social media use seems to produce more risk for insomnia, compared to playing video games or general internet use for leisure purposes. Importantly, a single measure of depression symptoms explained more variance in insomnia than the nine measures of digital technology use combined, meaning that the effect of digital technology on sleep should not be overstated. Most of the effect of social media use on insomnia may in fact be explained by understanding users' depression symptoms. In case of gaming, a larger part of its effect on insomnia is independent of depression symptoms.

Examining insomnia disorder and stress generation among individuals who have experienced involuntary job loss

OBJECTIVE

Depressed individuals generate more stressful life events than non-depressed individuals. Like depressive symptoms, the symptoms of insomnia disorder may lead to impaired decision-making, daytime sleepiness, fatigue, and emotion dysregulation, yet the prospective relationship with insomnia disorder and stress generation has not previously been investigated. We hypothesized that insomnia disorder within the first three months of involuntary job loss would lead to an increased number of stressful life events three-months later.

METHODS

This project employed a longitudinal design consisting of two timepoints occurring approximately 3 months apart. A sample 136 participants with complete data was sourced from the Assessing Daily Activity Patterns through Occupational Transitions study. Insomnia disorder was diagnosed using the Duke Structured Interview for Sleep Disorders, and the number of stressful life events was assessed using the Life Events and Difficulties Schedule.

RESULTS

A cross-lagged panel analysis utilizing Poisson and logistic regression techniques indicated that insomnia disorder at study baseline predicted an increased number of all stressful life events at follow-up (RR = 1.36, p = .01); conversely, stressful life events at baseline did not predict insomnia disorder (OR = 0.98, p = .87).

CONCLUSION

These results support a stress-generation hypothesis of insomnia disorder. Findings highlight insomnia disorder as a potential target for intervention in the prevention of additional stress exposure among recently unemployed individuals, who have been shown to be at increased risk for adverse health and health disparities.

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.

Does a multimodal prehabilitation program improve sleep quality and duration in patients undergoing colorectal resection for cancer? Pilot randomized control trial

Sleep difficulties are a common symptom in cancer patients at different stages of treatment trajectory and may lead to numerous negative consequences for which management is required. This pilot Randomized Controlled Trial (RCT) aims to assess the potential effectiveness of home-based prehabilitation intervention (prehab) on sleep quality and parameters compared to standard care (SOC) in colorectal cancer patients during the preoperative period and up to 8 weeks after the surgery. One hundred two participants (48.3% female, mean age 65 years) scheduled for elective resection of colorectal cancer were randomized to the prehab (n = 50) or the SOC (n = 52) groups. Recruitment and retention rates were 54% and 72%, respectively. Measures were completed at the baseline and preoperative, 4- and 8-week after-surgery follow-ups. Our mixed models' analyses revealed no significant differences between groups observed over time for all subjective and objective sleep parameters. A small positive change was observed in the perceived sleep quality only at the preoperative time point for the prehabilitation group compared to the SOC group, with an effect size d = 0.11 and a confidence interval (CI) between - 2.1 and - 0.1, p = .048. Prehab group patients with high anxiety showed a significant improvement in the rate of change of sleep duration over time compared to the SOC group, with a difference of 110 min between baseline and 8 weeks after surgery (d = 0.51, 95% CI: 92.3 to 127.7, p = .02). Multimodal prehabilitation intervention is feasible in colorectal cancer patients and may improve sleep duration for patients with high anxiety symptoms. Future large-scale RCTs are needed to confirm our results.

Interventions for psychiatric disorders among university students: An umbrella review of systematic reviews and meta-analyses

Background

Mental disorders are considered to be the main reason for the increase of the disease burden. College students seem to be more vulnerable to the adverse effects of stress, which makes them more at risk of suffering from mental disorders. This umbrella review aimed to evaluate the credibility of published evidence regarding the effects of interventions on mental disorders among university students.

Methods

To identify systematic reviews and meta-analyses investigating the effects of interventions on mental disorders in the university student population, extensive searches were carried out in databases including PubMed, Embase, and the Cochrane Database, spanning from inception to July 21, 2023. Subsequently, a thorough reanalysis of crucial parameters such as summary effect estimates, 95 % confidence intervals, heterogeneity I2 statistic, 95 % prediction intervals, small-study effects, and excess significance bias was performed for each meta-analysis found.

Results

Nineteen articles involving 74 meta-analyses were included. Our grading of the current evidence showed that interventions based on exercise, Cognitive-behavioural Intervention (CBI), mindfulness-based interventions (MBI), and other interventions like mood and anxiety interventions (MAI) were effective whereas exercise intervention had the highest effect size for both depression and anxiety among university students. However, the credibility of the evidence was weak for most studies. Besides, suggestive evidence was observed for the positive effects of CBI on sleep disturbance(SMD: -0.603, 95 % CI: -0.916, -0.290; P-random effects<0.01) and MAI on anxiety (Hedges'g = -0.198, 95 % CI: -0.302, -0.094; P-random effects<0.01).

Conclusion

Based on our findings, it appears that exercise interventions, CBI, and MAI have the potential to alleviate symptoms related to mental disorders. Despite the overall weak credibility of the evidence and the strength of the associations, these interventions offer a promising avenue for further exploration and research in the future. More high-quality randomized controlled trials should be taken into account to verify the effects of these interventions on various mental disorders.

Identifying the insomnia-related psychological issues associated with hyperarousal: A network perspective

Hyperarousal, recognized as a fundamental characteristic of insomnia for decades, has yielded limited evidence concerning its direct psychological associations. This study aimed to explore the psychological factors linked to hyperarousal within the framework of interrelated variables. Two independent samples, comprising n = 917 and n = 652 young adults, were included in the study. Employing the first dataset as a discovery sample and the second dataset as a replication sample, network analyses were conducted using 26 variables derived from 17 scales. The objective was to estimate the direct and indirect associations between psychological issues, including hyperarousal and insomnia. Additionally, linear regression analysis was employed to assess the convergence of findings obtained from the network analysis. Network analyses in both samples converged to reveal direct associations between insomnia severity and several psychological factors, including negative sleep beliefs, physical fatigue, insomnia response to stress, hyperarousal, self-reported depression, and mental fatigue. Notably, the nodes with relative importance within the network include trait anxiety, depressive rumination, hyperarousal, perfectionism sub-dimension of concern over mistakes, and private self-consciousness. Hyperarousal is one of the key factors linking insomnia with a variety of psychological issues, including emotion-related factors (rumination, perveived stress), sleep-related factors (dysfunctional sleep beliefs and attitudes, insomnia response to stress, fatigue, chronotype), and self-related factors (self-consciousness, perfectionism). The results suggest that forthcoming strategies for enhancing the treatment efficacy of insomnia could consider supplementary interventions that specifically address hyperarousal, other factors directly linked to insomnia, or the hub nodes within the network.

Relationship between fruit and vegetable consumption and internet addiction with insomnia and depression as multiple mediators during the COVID-19 pandemic: a three-wave longitudinal study in Chinese college students

BACKGROUND

The relationships between fruit and vegetable consumption (FV) and Internet addiction (IA) in college students still remained unknown together with the internal mechanisms. Given the limitations of previous cross-sectional design, longitudinal research was necessary to be conducted to explore more precise correlations. Using the three-wave data in a longitudinal design, this study aimed to explore the association between FV and IA among Chinese college students and potential multiple mediators of insomnia and depression during the COVID-19 pandemic.

METHODS

A total of 579 college students were recruited during three waves (T1: August 2020; T2: November 2020; T3: February 2021). FV (T1), insomnia (T2), depression (T2) and IA (T3) symptoms were reported. The descriptive statistics of the sociodemographic characteristics and correlation analyses of the study variables were calculated. The significance of the mediation effects was measured conducting a bootstrap method with SPSS PROCESS macro.

RESULTS

FV was negatively correlated with IA, and lower FV predicted higher risk of IA. Depression mediated the association between FV and subsequent IA. Insomnia and depression were multiple mediators, which in turn mediated the links between FV and subsequent IA.

CONCLUSIONS

The three-wave longitudinal study has revealed that FV had indirect effects on IA through individual mediating factor of depression and multiple mediating roles of insomnia and depression sequentially. The policy makers, educators and researchers should pay attention to the impact of the interventions from healthy diet, in order to optimize the coping strategies for preventing college students from IA.

Mapping the associations of daily pain, sleep, and psychological distress in a U.S. sample

Chronic pain, sleep problems, and psychological distress (PD) can be disabling conditions and previous research has shown that they are associated. The nuances of the comorbid nature of these conditions may be important to understand for those who treat these conditions. This study examined the bidirectional associations of these health factors concurrently and over time in a sample of U.S. adults (N = 1,008, Mage = 57.68) from the Midlife in the United States (MIDUS) study. Participants reported on their daily pain, sleep quantity, and psychological distress over eight days. A modified Random Intercept Cross-lagged Panel Model was used to analyze the relations, starting with the whole sample and then a comparison of those with and without chronic pain. Results indicated that nightly variation in sleep quantity predicted next day psychological distress for both groups. Sleep quantity also predicted next-day pain, but only for individuals with chronic pain. Associations between pain and psychological distress were found both at the daily level and individual (between-person) level. This between-person association was stronger for those with chronic pain. The lagged associations between sleep, and both pain and psychological distress for the chronic pain group indicate that, increased quantity of sleep predicts decreased next-day pain and psychological distress. Providers could consider this unidirectional lagged relationship when prioritizing treatment for patients with these comorbid conditions. Future research may examine whether responsive, just-in-time treatments might intervene after participants wake from a poor night's sleep to counteract the negative effects of reduced sleep on PD and pain.

Association between vitamin D, depression, and sleep health in the National Health and Nutrition Examination Surveys: a mediation analysis

OBJECTIVE

This study aimed to assess the association between vitamin D and sleep health and to investigate whether depression could mediate this relationship.

METHODS

A cross-sectional analysis was performed using the 2005-2014 US National Health and Nutrition Examination Survey (NHANES) data. The logistic regression models were conducted to evaluate association of serum vitamin D concentrations with sleep health and depression. Mediation analyses were conducted to investigate the mediated effects of depression on the association of vitamin D with sleep health.

RESULTS

In multivariate logistic models, vitamin D was found to be negatively associated with an increased risk of poor sleep health, with an odds ratio (OR) of vitamin D deficiency versus sufficiency was 1.256 (95% CI = 1.084-1.455). Additionally, univariate logistic models showed that vitamin D was also negatively associated with depression risk (vitamin D deficiency vs. sufficiency: OR = 1.699, 95% CI = (1.373-2.103). Further mediation analyses showed that the association of vitamin D with sleep health was mediated by depression, with the mediating effects of depression accounted for 44.56% of the total effects.

CONCLUSION

Vitamin D affects sleep health directly and indirectly through depression. The results suggest that interventions increasing intake of vitamin D should be prioritized to promote sleep health of persons with or at risk of depression.

"Life will never be the same": a qualitative analysis of the impact of COVID-19 on adults with a history of insomnia

Study Objectives

To utilize qualitative data analysis to enrich our understanding of the impact of coronavirus (COVID-19) on those with a pre-pandemic history of insomnia.

Methods

The sample included 208 participants who completed the Coronavirus Impact Scale in April and May 2020. A content analysis was used to analyze responses to a free-response item "Please tell us about any other ways the coronavirus has impacted your life" (n = 175), using a combination of inductive and deductive coding.

Results

Both negative and positive themes emerged, including altered access to health care, negative financial impacts, and various emotions surrounding COVID-19. Some shared "silver linings" such as having more time for physical activity and deepening familial connections.

Conclusions

This analysis provides novel insight into the shared concerns and lived experiences of those with a history of insomnia. Understanding these unique stressors can enable healthcare professionals to better anticipate the needs of this population, as well as learn to navigate future stressful events.

Development of a Novel Behavioral Sleep Medicine Education Workshop Designed to Increase Trainee Psychologists' Knowledge and Skills in Insomnia Management

OBJECTIVES

Despite the clear influence of poor sleep on mental health, sleep education has been neglected in psychology training programs. Here, we develop a novel behavioral sleep medicine (BSM) education workshop, the Sleep Psychology Workshop, designed for integration within graduate psychology programs. We also examined the potential efficacy and acceptability of the workshop to upskill trainee psychologists in sleep and insomnia management.

METHODS

The Sleep Psychology Workshop was developed using a modified Delphi Method. Eleven trainee psychologists completing their Master of Psychology degrees (90% female, 24.4 ± 1.6 years old) attended the workshop, delivered as three, two-hour lectures (total of six hours). Sleep knowledge, attitudes, and practice assessments were completed pre-and post-intervention using the GradPsyKAPS Questionnaire. A focus group and 6-month follow-up survey captured feedback and qualitative data.

RESULTS

Trainees' sleep knowledge quiz scores (% correct) increased from 60% to 79% pre- to post-workshop (p = .002). Trainees' self-efficacy to use common sleep-related assessment instruments and empirically supported interventions to manage sleep disturbances increased, along with their confidence to manage insomnia (all p < .02). Participant feedback was positive, with 91% of trainees rating the workshop as "excellent" and qualitative data highlighting trainees developing practical skills in BSM. Six months post-intervention, 100% of trainees endorsed routinely asking their clients about sleep, with 82% reporting improvements in their own sleep.

CONCLUSIONS

The Sleep Psychology Workshop is a potentially effective and acceptable introductory BSM education program for trainee psychologists, ready for integration within the graduate psychology curriculum.

Polygenic predisposition, sleep duration, and depression: evidence from a prospective population-based cohort

Suboptimal sleep durations and depression frequently cooccur. Short-sleep and long-sleep are commonly thought of as symptoms of depression, but a growing literature suggests that they may be prodromal. While each represents a process of mutual influence, the directionality between them remains unclear. Using polygenic scores (PGS), we investigate the prospective direction involved in suboptimal sleep durations and depression. Male and female participants, aged ≥50, were recruited from the English Longitudinal Study of Ageing (ELSA). PGS for sleep duration, short-sleep, and long-sleep were calculated using summary statistics data from the UK Biobank cohort. Sleep duration, categorised into short-sleep ("≤5 h"), optimal-sleep (">5 to <9 h"), and long-sleep ("≥9 h"), was measured at baseline and across an average 8-year follow-up. Subclinical depression (Centre for Epidemiological Studies Depression Scale [≥4 of 7]) was also ascertained at baseline and across an average 8-year follow-up. One standard deviation increase in PGS for short-sleep was associated with 14% higher odds of depression onset (95% CI = 1.03-1.25, p = 0.008). However, PGS for sleep duration (OR = 0.92, 95% CI = 0.84-1.00, p = 0.053) and long-sleep (OR = 0.97, 95% CI = 0.89-1.06, p = 0.544) were not associated with depression onset during follow-up. During the same period, PGS for depression was not associated with overall sleep duration, short-sleep, or long-sleep. Polygenic predisposition to short-sleep was associated with depression onset over an average 8-year period. However, polygenic predisposition to depression was not associated with overall sleep duration, short-sleep or long-sleep, suggesting different mechanisms underlie the relationship between depression and the subsequent onset of suboptimal sleep durations in older adults.

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.

Association Between Pharmacotherapy and Sleep Quality in Patients with Chronic Orofacial and Chronic Body Pain: A Cross-Sectional Study

Purpose

Sleep impairment is associated with many chronic pain disorders. While there is an association between chronic pain and sleep disturbances, little is known about the influence of pharmacotherapy for chronic pain conditions, particularly chronic opioid therapy, on sleep. This study aimed to 1) compare the sleep quality (SQ) in patients with two different pain conditions-chronic body pain and chronic orofacial pain; 2) assess the correlation of SQ and pain intensity; and 3) evaluate the association between pharmacotherapy and SQ.

Patients and Methods

The Pittsburgh Sleep Quality Index (PSQI) was used to measure the SQ in subjects with 1) chronic body pain (n = 100) and 2) chronic orofacial pain (n = 100). The visual analogue scale was applied for pain intensity rating. All subjects were adults recruited at Massachusetts General Hospital, United States. The subjects' demographic data, pain intensity, diagnosis and concurrent use of medications were extracted from their electronic medical records (EMR). Statistical analyses were performed using T-test and Pearson correlation coefficient.

Results

Among 200 subjects (mean age 51.01 ± 15.52 years), 141 (70.5%) were females. PSQI and pain intensity were statistically significantly different between the two groups (p < 0.05 and p < 0.0001, respectively) and higher in subjects with chronic body pain. There was a positive correlation between PSQI and pain intensity (chronic orofacial pain r = 0.3535, p = 0.0004; chronic body pain: r = 0.2247, p < 0.026). PSQI was higher in chronic orofacial pain subjects utilizing opioids and benzodiazepines (PSQI = 15.25).

Conclusion

Chronic pain impairs SQ, which is noticeably worse in subjects with body pain conditions. In addition, pain intensity was correlated with poorer SQ, which in turn was linked to the concomitant use of opioid and benzodiazepine therapy in chronic orofacial pain.

Association of socioeconomic deprivation with sleep health in patients with type 2 diabetes

AIMS

To investigate the association between socioeconomic deprivation and indicators of sleep health among patients with type 2 diabetes mellitus (T2DM), and additionally, to examine whether socioeconomic deprivation is associated with higher glycated haemoglobin (HbA1c) levels in these patients.

MATERIALS AND METHODS

We analysed data from the UK Biobank, consisting of 17 206 participants with T2DM, to explore the relationship between socioeconomic deprivation, self-reported indicators of sleep health, and HbA1c levels. Socioeconomic deprivation was assessed using the Townsend deprivation index. Participants were divided into two groups: low socioeconomic deprivation (n = 8604; reference group) and high socioeconomic deprivation (n = 8602). Logistic regression models were employed, adjusting for covariates such as body mass index (BMI), age, and biological sex.

RESULTS

Patients with high socioeconomic deprivation had higher odds of reporting usual difficulties falling asleep or sleeping through the night (adjusted odds ratio 1.20, 95% confidence interval [CI] 1.12, 1.28), and they were more likely to use at least one hypnotic medication (adjusted odds ratio 1.41, 95% CI 1.09, 1.84). They also had higher odds of reporting snoring and difficulties staying awake during the daytime (adjusted odds ratio 1.09, 95% CI 1.01, 1.18), as well as experiencing short sleep duration (defined as <6 hours of sleep per day; adjusted odds ratio 1.69, 95% CI 1.50, 1.91). Moreover, patients with high socioeconomic deprivation had increased odds of experiencing comorbid sleep problems (P ≤ 0.001). Finally, high socioeconomic deprivation was associated with a 0.1% higher HbA1c level (P < 0.001). Controlling for indicators of poor sleep health did not alter the strength of this association.

CONCLUSIONS

Socioeconomic deprivation may represent a risk factor for poor sleep health in patients with T2DM.

Increased Aperiodic Neural Activity During Sleep in Major Depressive Disorder

Background

In major depressive disorder (MDD), patients often express subjective sleep complaints, while polysomnographic studies report only subtle alterations of the electroencephalographic signal. We hypothesize that differentiating the signal into its oscillatory and aperiodic components may bring new insights into our understanding of sleep abnormalities in MDD. Specifically, we investigated aperiodic neural activity during sleep and its relationships with sleep architecture, depression severity, and responsivity to antidepressant treatment.

Methods

Polysomnography was recorded in 38 patients with MDD (in unmedicated and 7-day-medicated states) and 38 age-matched healthy control subjects (N= 76). The aperiodic power component was calculated using irregularly resampled auto-spectral analysis. Depression severity was assessed with the Hamilton Depression Rating Scale. We replicated the analysis using 2 independently collected datasets of medicated patients and control subjects (N = 60 and N = 80, respectively).

Results

Unmedicated patients showed flatter aperiodic slopes compared with control subjects during non-rapid eye movement (non-REM) stage 2 sleep (p = .009). Medicated patients showed flatter aperiodic slopes compared with their earlier unmedicated state (p values < .001) and control subjects during all sleep stages (p values < .03). In medicated patients, flatter aperiodic slopes during non-REM sleep were linked to the higher proportion of N1, lower proportion of REM, delayed onset of N3 and REM, and shorter total sleep time.

Conclusions

Flatter slopes of aperiodic electroencephalographic power may reflect noisier neural activity due to increased excitation-to-inhibition balance, representing a new disease-relevant feature of sleep in MDD.

Does insomnia treatment prevent depression?

Rates of major depressive disorder (MDD) are increasing globally, in part due to the coronavirus disease 2019 pandemic, contributing to disease burden. It has long been known that insomnia is intricately connected with depression as indicated by greater depression severity and lower treatment response. Furthermore, insomnia is a significant risk factor for new-onset depression. Treatment of insomnia is thus a logical target for prevention of incidents and recurrent MDD. This systematic review sought to evaluate the current evidence for the preventive effects of insomnia treatment on depression onset. A database search yielded 186 studies, six of which met criteria for inclusion in this review. All of the studies utilized cognitive behavioral treatment for insomnia (CBT-I) as the target intervention and most delivered treatment via a digital platform. Four of the studies found significantly lower rates of MDD onset in those who received CBT-I compared to a control condition. The two remaining studies failed to confirm these effects in primary analyses but secondary analyses suggested evidence of a preventive effect. There was significant methodologic heterogeneity across studies in terms of sample selection, outcomes, and follow-up periods, limiting the ability to draw firm conclusions. The evidence overall is in the direction of insomnia treatment reducing the risk for onset of MDD, but further research is warranted.

Baseline symptoms of depression and anxiety negatively impact the effectiveness of CBTi in treating acute insomnia among young adults

Background

Cognitive-behavioural therapy for insomnia (CBTi) is the first-line treatment for those with this sleep disorder. However, depressive and anxiety symptoms often co-occur with acute insomnia, which may affect the effectiveness of CBTi treatment.

Aims

This study aimed to determine the impact of depressive and anxiety symptoms on the efficacy of CBTi in treating acute insomnia.

Methods

A single-arm clinical trial was conducted among individuals who have acute insomnia. Participants underwent self-guided CBTi for 1-week. Their insomnia, depressive symptoms and anxiety symptoms were evaluated using the Insomnia Severity Index and the Hospital Anxiety and Depression Scale at baseline, post-treatment and 3-month follow-up. Repeated measures analysis of variance was used to assess the effectiveness of CBTi in treating insomnia, depressive symptoms and anxiety symptoms. A multivariate Cox regression model was used to determine the impact of depressive and anxiety symptoms on insomnia.

Results

The study found significant reductions in insomnia, depressive symptoms and anxiety symptoms at both post-treatment and 3-month follow-up (F=17.45, p<0.001; F=36.37, p=0.001; and F=81.51, p<0.001, respectively). The duration of CBTi treatment had a positive impact on insomnia recovery (hazard ratio (HR)=0.94, p=0.018). However, baseline depressive symptoms (HR=1.83, p=0.004) and baseline anxiety symptoms (HR=1.99, p=0.001) had significant negative effects on insomnia recovery.

Conclusions

The study showed that a 1-week self-guided CBTi treatment is effective in treating acute insomnia and comorbid depressive and anxiety symptoms. However, baseline depressive and anxiety symptoms negatively impact treatment effectiveness. Therefore, clinicians should assess for depressive and anxiety symptoms before treating acute insomnia with monotherapy CBTi.

Evaluating the Modified Patient Health Questionnaire-2 and Insomnia Severity Index-2 for Daily Digital Screening of Depression and Insomnia: Validation Study

BACKGROUND

The Patient Health Questionnaire-2 (PHQ-2) and Insomnia Severity Index-2 (ISI-2) are screening assessments that reflect the past 2-week experience of depression and insomnia, respectively. Retrospective assessment has been associated with reduced accuracy owing to recall bias.

OBJECTIVE

This study aimed to increase the reliability of responses by validating the use of the PHQ-2 and ISI-2 for daily screening.

METHODS

A total of 167 outpatients from the psychiatric department at the Yongin Severance Hospital participated in this study, of which 63 (37.7%) were male and 104 (62.3%) were female with a mean age of 35.1 (SD 12.1) years. Participants used a mobile app ("Mental Protector") for 4 weeks and rated their depressive and insomnia symptoms daily on the modified PHQ-2 and ISI-2 scales. The validation assessments were conducted in 2 blocks, each with a fortnight response from the participants. The modified version of the PHQ-2 was evaluated against the conventional scales of the Patient Health Questionnaire-9 and the Korean version of the Center for Epidemiologic Studies Depression Scale-Revised.

RESULTS

According to the sensitivity and specificity analyses, an average score of 3.29 on the modified PHQ-2 was considered valid for screening for depressive symptoms. Similarly, the ISI-2 was evaluated against the conventional scale, Insomnia Severity Index, and a mean score of 3.50 was determined to be a valid threshold for insomnia symptoms when rated daily.

CONCLUSIONS

This study is one of the first to propose a daily digital screening measure for depression and insomnia delivered through a mobile app. The modified PHQ-2 and ISI-2 were strong candidates for daily screening of depression and insomnia, respectively.

The role of co-occurring insomnia and mental distress in the association between lumbar disc degeneration and low back pain related disability

BACKGROUND

Lumbar disc degeneration (LDD) is associated with low back pain (LBP). Although both insomnia and mental distress appear to influence the pain experience, their role in the association between LDD and LBP is uncertain. Our objective was to investigate the role of co-occurring insomnia and mental distress in the association between LDD and LBP-related disability.

METHODS

A total of 1080 individuals who had experienced LBP during the previous year underwent 1.5-T lumbar magnetic resonance imaging, responded to questionnaires, and participated in a clinical examination at the age of 47. Full data was available for 843 individuals. The presence of LBP and LBP-related disability (numerical rating scale, range 0-10) were assessed using a questionnaire. LDD was assessed by a Pfirrmann-based sum score (range 0-15, higher values indicating higher LDD). The role of insomnia (according to the five-item Athens Insomnia Scale) and mental distress (according to the Hopkins Symptom Check List-25) in the association between the LDD sum score and LBP-related disability was analyzed using linear regression with adjustments for sex, smoking, body mass index, education, leisure-time physical activity, occupational physical exposure, Modic changes, and disc herniations.

RESULTS

A positive association between LDD and LBP-related disability was observed among those with absence of both mental distress and insomnia (adjusted B = 0.132, 95% CI = 0.028-0.236, p = 0.013), and among those with either isolated mental distress (B = 0.345 CI = 0.039-0.650, p = 0.028) or isolated insomnia (B = 0.207, CI = 0.040-0.373, p = 0.015). However, among individuals with co-occurring insomnia and mental distress, the association was not significant (B = -0.093, CI = -0.346-0.161, p = 0.470).

CONCLUSIONS

LDD does not associate with LBP-related disability when insomnia and mental distress co-occur. This finding may be useful when planning treatment and rehabilitation that aim to reduce disability among individuals with LDD and LBP. Future prospective research is warranted.

Sleep quality, antepartum depression and self-harm thoughts in pregnant Chinese women

BACKGROUND

Previous literature has shown a significant association between sleep and depression, whereas limited studies have examined the association of sleep quality with self-harm ideation in pregnant Chinese women.

METHODS

A total of 898 pregnant women (first to third trimester) from the Young Investigation Study were enrolled in this study. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to assess sleep quality. Antepartum depression and self-harm ideation were evaluated using the Edinburgh Postnatal Depression Scale (EPDS). Multivariable logistic regression models were used to calculate odds ratios (ORs) and 95 % confidence intervals (CIs).

RESULTS

In this sample, the prevalence of poor sleep quality and antepartum depression was 44.3 % and 24.4 %, respectively. Furthermore, 12.8 % of women were considered as having self-harm ideation. Individuals in different trimesters reported similar prevalence of self-harm thoughts. Women were more likely to report self-harm thoughts if they were categorized as poor sleep quality or antepartum depression. And women with moderate or severe depression had higher risk of self-harm ideation and poor sleep, compared with those with mild depression. Although sleep quality indirectly influenced self-harm thoughts through the mediation effect of depressive symptoms, poor sleep quality was still associated with a 2.62-fold increased odds of self-harm ideation among women in the second trimester (OR = 2.62; 95 % CI: 1.11-6.21), after adjustment for depression.

LIMITATIONS

Causality cannot be inferred. Results should be generalized carefully. Depression was evaluated by a screening tool rather than clinical interviews.

CONCLUSIONS

The prevalence of poor sleep quality, depressive symptoms and self-harm ideation in pregnant Chinese women were noteworthy and high. Besides, a direct effect was also found between sleep quality and self-harm thoughts among women in the second trimester. Our findings suggest the need to identify and intervene when sleep disturbances are observed in women during pregnancy.

The relationship between sleep quality and depression: Critical roles of reflective and brooding rumination and sleep-related cognition

There is a complex interplay between sleep problems and depression. This study explored the possible effects of rumination and dysfunctional beliefs about sleep on the relationship between sleep quality and depression. A cross-sectional survey of 1240 Chinese adults was conducted to assess the possible relationships. The results showed a chain mediating effect of reflection rumination and brooding rumination on the relationship between sleep quality and depression, accounting for 38.91% of the total variance. A moderating role of unreasonable attitudes about sleep was also discovered among the study participants, which enhanced the relationship between reflection and brooding, leading to a further increase in this relationship. Individually-tailored approaches targeting rumination and cognition may more effectively alleviate depression or co-morbid sleep problems and depression than the current standards of care.

Cognitive behavioural therapy for insomnia (CBTi) as a treatment for tinnitus-related insomnia: a randomised controlled trial

Insomnia is a significant difficulty and is reported by large proportion of people with tinnitus. Although cognitive behavioural therapy for insomnia (CBTi) might be an effective treatment, no controlled studies had been conducted to date. This randomised controlled trial evaluated the benefits of CBTi on a sample of 102 people with tinnitus-related insomnia. Participants were randomised to 1) CBTi, 2) Audiology-Based Care (ABC) or 3) Sleep Support Group (SSG). Primary outcomes included insomnia, sleep efficiency and total sleep time. Secondary outcomes measured sleep onset latency, sleep quality, tinnitus distress, psychological distress, functioning and quality of life. CBTi was superior at reducing insomnia and increasing sleep efficiency compared to ABC post-intervention and at 6-month follow-up. ABC was superior at reducing insomnia and increasing sleep efficiency compared to SSG. Both CBTi and ABC reported increased total sleep time compared to SSG at 6-month follow. More than 80% of participants in the CBTi group reported clinically meaningful improvements compared to 47% in ABC and 20% for those receiving social support. CBTi was more effective in reducing tinnitus distress and improving sleep quality, functioning and some aspects of mental health. CBTi and ABC offer effective treatments for tinnitus-related sleep disorder but CBTi offers a sizeable benefit.

Prevalence of Comorbid Depression and Insomnia Among Veterans Hospitalized for Heart Failure with Alzheimer Disease and Related Disorders

OBJECTIVE

To examine prevalence of Alzheimer Disease and related dementias (ADRD) and patient characteristics as a function of comorbid insomnia and/or depression among heart failure (HF) patients discharged from hospitals.

DESIGN

Retrospective cohort descriptive epidemiology study.

SETTING

VA Hospitals.

PARTICIPANTS

N = 373,897 Veterans hospitalized with heart failure from October 1, 2011 until September 30, 2020.

MEASUREMENTS

We examined VA and Center for Medicare & Medicaid Services (CMS) coding in the year prior to admission using published ICD-9/10 codes for dementia, insomnia, and depression. The primary outcome was the prevalence of ADRD and the secondary outcomes were 30-day and 365-day mortality.

RESULTS

The cohort were predominantly older adults (mean age = 72 years, SD = 11), male (97%), and White (73%). Dementia prevalence in participants without insomnia or depression was 12%. In those with both insomnia and depression, dementia prevalence was 34%. For insomnia alone and depression alone, dementia prevalence was 21% and 24%, respectively. Mortality followed a similar pattern with highest 30-day and 365-day mortality higher in those with both insomnia and depression.

CONCLUSIONS

These results suggest that persons with both insomnia and depression are at an increased risk of ADRD and mortality compared to persons with one or neither condition. Screening for both insomnia and depression, especially in patients with other ADRD risk factors, could lead to earlier identification of ADRD. Understanding comorbid conditions which may represent earlier signs of ADRD may be critical in the identification of ADRD risk.

Insomnia is a key risk factor for persistent anxiety and depressive symptoms: A 12-month longitudinal cohort study during the COVID-19 pandemic

BACKGROUND

Insomnia is a risk factor for affective disorders. This study examined whether individuals with insomnia symptoms early in the pandemic, either pre-existing or new-onset, were more vulnerable to anxiety and depressive symptoms over time than those who maintained normal sleep. Additionally, sleep-related factors such as pre-sleep arousal were assessed for their influence on clinically significant anxiety and depression risk.

METHODS

Using a global online survey with 3-, 6-, and 12-month follow-ups between April 2020 and May 2021, data from 2069 participants (M = 46.16 ± 13.42 years; 75.3 % female) with pre-existing, new-onset, or no insomnia symptoms was examined using mixed-effects and logistic regression models.

RESULTS

New-onset and pre-existing insomnia predicted persistent anxiety and depressive symptoms longitudinally (p's < 0.001), over other known risk factors, including age, sex, and previous psychiatric diagnoses. Anxiety and depressive symptoms in both insomnia groups remained above clinically significant thresholds at most time points, whereas normal sleepers remained subclinical. Pre-sleep arousal was found to increase the risk of clinically significant anxiety (OR = 1.05) and depressive symptoms (OR = 1.09) at 12-months. Sleep effort contributed to anxiety (OR = 1.06), whereas dysfunctional sleep-related beliefs and attitudes predicted clinically significant depression (OR = 1.22).

LIMITATIONS

Insomnia group categorization was based on self-report at baseline supported by a validated measure. High participant attrition was observed at 3-months (53 %; n = 971), but retention remained steady till 12-months (63 %, n = 779).

CONCLUSIONS

Insomnia is a modifiable risk factor for persistent anxiety and depressive symptoms that needs to be addressed in mental healthcare. Additionally, pre-sleep arousal may be an important transdiagnostic process linking insomnia with affective disorders.

Cannabis use and sleep quality in daily life: An electronic daily diary study of adults starting cannabis for health concerns

BACKGROUND

Real world patterns of cannabis use for health concerns are highly variable and rarely overseen by a physician. Pragmatic effectiveness studies with electronic daily diaries that capture person-specific patterns of cannabis use and health symptoms may help clarify risks and benefits.

METHODS

As part of a larger, randomized trial (NCT03224468), adults (N = 181) seeking cannabis for insomnia, pain, or anxiety or depressive symptoms were randomized to obtain a medical cannabis card immediately (MCC) or a waitlist control (WLC) and completed 12-weeks of daily web-based surveys on cannabis use and sleep, pain, and depressive symptoms.

RESULTS

Completion rates of daily surveys were moderate to high (median completed: 72 out of 90 days). Daily reports of cannabis use were consistent with monthly interview assessments and urinalysis. The MCC group increased cannabis use frequency in the 12 weeks following randomization, while WLC did not. Among the MCC group, self-reported sleep quality was significantly higher on cannabis use days, compared to nonuse days. The MCC group displayed long-term sleep improvements, consistent with increasing cannabis frequency. No improvements were found for pain or depressive symptoms.

CONCLUSION

Cannabis use is associated with same day improvements in self-reported sleep quality, but not pain or depressive symptoms, although sleep improvements occurred in the context of increased frequency of cannabis use, raising the risk for cannabis use disorder. Daily web-based assessments of cannabis appear valid and feasible in adults seeking cannabis for health concerns, providing a flexible, complementary method for future real-world effectiveness studies with expanded and objective measures.

Psychological treatment of depression with other comorbid mental disorders: systematic review and meta-analysis

Most people with a mental disorder meet criteria for multiple disorders. We conducted a systematic review and meta-analysis of randomized trials comparing psychotherapies for people with depression and comorbid other mental disorders with non-active control conditions. We identified studies through an existing database of randomized trials on psychotherapies for depression. Thirty-five trials (3,157 patients) met inclusion criteria. Twenty-seven of the 41 interventions in the 35 trials (66%) were based on CBT. The overall effect on depression was large (g = 0.65; 95% CI: 0.40 ~ 0.90), with high heterogeneity (I² = 78%; 95% CI: 70 ~ 83). The ten studies in comorbid anxiety showed large effects on depression (g = 0.90; 95% CI: 0.30 ~ 1.51) and anxiety (g = 1.01; 95% CI: 0.28 ~ 1.74). For comorbid insomnia (11 comparisons) a large and significant effect on depression (g = 0.99; 95% CI: 0.16 ~ 1.82) and insomnia (g = 1.38; 95% CI: 0.38 ~ 2.38) were found. For comorbid substance use problems (12 comparisons) effects on depression (g = 0.25; 95% CI: 0.06 ~ 0.43) and on substance use problems (g = 0.25; 95% CI: 0.01 ~ 0.50) were significant. Most effects were no longer significant after adjustment for publication bias and when limited to studies with low risk of bias. Therapies are probably effective in the treatment of depression with comorbid anxiety, insomnia, and substance use problems.

Adapting Group CBT-I for Telehealth-to-Home With Military Veterans in Primary Care

Utilization of telehealth modalities to provide cognitive and behavioral therapies is rapidly increasing. Limitations to access to care can prohibit individuals from getting the care they need, especially evidence-based treatments. In the U.S., Veterans are a population in great need of accessible and high-quality evidence-based psychotherapy for insomnia, as it often co-occurs with other common syndromes such as depression and PTSD. Cognitive Behavioral Therapy for Insomnia (CBT-I) offers effective treatment for insomnia and can be delivered via telehealth and in a group format to greatly increase availability and accessibility. To date, however, few programs exist offering telehealth-to-home CBT-I, fewer still are offered in a primary care setting, and none to our knowledge are offered in group format. We examine the feasibility and efficacy of a fully telehealth-to-home (TTH) group CBT-I pilot program in primary care and compare primary outcomes to those seen in a face-to-face (F2F) format as well as meta-analytic studies of group CBT-I. Primary endpoints, as typically defined such as sleep efficiency (SE) and scores on the insomnia severity index (ISI) appear comparable to those seen in F2F groups in our clinic, and to outcomes seen in the literature. We discuss challenges and strategies for successful implementation of such a program in integrated primary care to increase access and availability of this evidence-based treatment.

Lower serum insulin-like growth factor 1 concentrations in patients with chronic insomnia disorder

Objectives

Insulin-like growth factor 1 (IGF-1) is a crucial neurotrophin that is produced in the brain and periphery and may play an important role in insomnia and mood disorders. We aimed to analyze its serum concentrations in patients with chronic insomnia disorder (CID).

Methods

Patients with CID were enrolled in this study and divided into the CID group [Generalized Anxiety Disorder-7 (GAD-7) score < 10] and the CID with anxiety group (GAD-7 score ≥ 10). Age-and sex-matched healthy volunteers were recruited as controls. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality and the GAD-7 and the Patient Health Questionnaire-9 to assess emotional status. All subjects were monitored via polysomnography, and the serum IGF-1 concentrations in their peripheral blood were detected via enzyme-linked immunosorbent assays.

Results

We enrolled 65 patients with CID (of whom 35 had anxiety) and 36 controls. The PSQI score and IGF-1 concentration in the CID and CID with anxiety groups were higher than those in the control group. The apparent difference in IGF-1 concentration between the CID and CID with anxiety groups was not statistically significant. The IGF-1 concentration in patients with CID was linearly correlated with the GAD-7 score, PSQI score, and stage 3 non-rapid eye movement (stage N3) time.

Conclusion

The serum IGF-1 concentration in patients with CID was lower than that of participants without CID, negatively correlated with anxiety score and sleep quality, and positively correlated with stage N3 time.

Cognitive and psychological factors associated with severe insomnia in Brazilian women: a cross-sectional study

Insomnia is the most prevalent sleep disorder in women. Sociodemographic, cognitive, and psychological factors may contribute to its severity. This study evaluated factors associated with severe insomnia in women with insomnia complaints. We evaluated 530 women aged 18-59 (mean = 40.5, SD = 10.2), who experienced insomnia complaints, using self-report instruments. Severe insomnia was defined as a score above 21 on the Insomnia Severity Index. Age, marital status, educational level, depression and anxiety, psychological inflexibility, and beliefs about sleep were assessed as potential factors associated with severe insomnia. Simple and multivariate analyses were conducted using binary logistic regression. Low education level (odds ratio; OR = 1.85 [1.27-2.69]), depression (OR = 2.17 [1.27-3.81]), psychological inflexibility (OR = 1.05 [1.02-1.08]), and dysfunctional beliefs about sleep (OR = 1.04 [1.02-1.06]) were factors associated with severe insomnia scores in the multiple logistic regression model. These findings are important from a public health perspective, because behavioral strategies designed to treat insomnia with a focus on cognitive and psychological factors are low-cost treatments and may help improve sleep quality in women, which also influences mental health.

Residual symptoms and their associated factors among Thai patients with depression: a multihospital-based survey

BACKGROUND

Depression is a common and debilitating disease, and even residual symptoms of depression can cause significant functional impairment. To achieve normal functioning, residual symptoms should also be identified and targeted by a competent treatment strategy. Thus, this study aimed to examine residual symptoms of depression and their associated factors among patients with depression.

METHODS

A cross-sectional study surveyed Thai patients with depression at two psychiatric outpatient clinics, Songklanagarind Hospital, and Songkhla hospital; from June to October 2021. The questionnaires inquired about: (1) demographic information, (2) the PHQ-9 Thai version, (3) a questionnaire focusing on depressive symptoms that impacted daily life, and were originally expected to be improved due to antidepressants. All data were analyzed using descriptive statistics, and associated factors concerning depressive symptoms were analyzed by a Chi-square and a logistic regression.

RESULTS

Of all 566 respondents, the majority of them were female (75.4%). The overall mean age was 43.8 ± 18.1 years. The depressive symptoms that had high frequency, high impact on daily life, and that the participants expected that they are resolved or get better via antidepressants were: sleeping problems (81.6%), feeling depressed (79.9%), and lack of pleasure (75.4%). Most of the participants (65.7%) received one type of antidepressant, and the most prescribed antidepressants were selective serotonin reuptake inhibitors (51.1%). In regard to objectives, 45.4% of participants reported having residual depressive symptoms which included sleeping problems (71.2%), feeling down (62.6%), lack of pleasure (62.3%), and poor appetite (61.9%). The associated factors relating to residual depressive symptoms were younger age, high education level, and having physical illness.

CONCLUSION

Almost half of patients with depression had residual symptoms, and they showed symptoms with high individual variability. Further to receiving effective treatment, a focused and individualized approach aiming for symptomatic remission, functional recovery, and quality of life improvements is key to recovery. Therefore, shared decision-making, and taking into account drug efficacy based on symptom profiles are both highly recommended.

Quality of therapy and mental health among occupational therapists during the COVID-19 pandemic

Introduction

The coronavirus disease of 2019 (COVID-19) has had a severe psychological impact on occupational therapists. Clarifying the mental health status of occupational therapists and its relationship with therapy quality is essential for maintaining the quality of care and patients' quality of life. Therefore, the present study aimed to investigate whether and how mental health problems are related to the quality of occupational therapy.

Methods

A nationwide cross-sectional online survey was conducted during Japan's second national state of emergency (January 2021). A total of 4,418 registered occupational therapists who were members of the Japanese Association of Occupational Therapists participated in this study. After screening for the exclusion criteria, data from 1,966 participants were analyzed.

Results

Path analysis showed that insufficient information provision by the workplace and increased workload were associated with depression, anxiety, and insomnia. Specifically, depression was associated with decreased therapy quality. Furthermore, one's therapy quality showed a strong positive correlation with colleagues' therapy quality.

Discussion

These results demonstrated a direct link between therapists' mental health conditions and therapy quality and suggested that decreased therapy quality might occur at the institutional rather than individual level. A reassessment of the support system and prompt detection and support for professionals with psychological symptoms may be the key to enhancing therapy quality and patients' quality of life. The present results contribute to the understanding of these relationships, considering the current pandemic context for occupational therapists.

Network structure of insomnia and depressive symptoms among shift workers in China

A bidirectional relationship between insomnia and depression has been observed. However, few studies have used network analysis to explore the interaction patterns in that association at the symptom level. This study aimed to estimate network structures of insomnia and depressive symptoms among shift workers, as well as to compare the differences in network properties between individuals without and with insomnia symptoms and/or at risk of depression. A total of 1883 shift workers were included in our study. Insomnia symptoms were evaluated by three items based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders, and depressive symptoms were assessed by the Center for Epidemiologic Studies Depression Scale. Network analyses were used for the statistical analysis. "Difficulty initiating sleep", "Hard to get started", and "Depressed mood" with higher expected influence (EI) values were identified as the most central symptoms within the insomnia-depressive networks among shift workers. The significant differences between individuals without and with insomnia symptoms and/or at risk of depression were observed in symptoms of "Difficulty initiating sleep" and "Hard to get started". "Depressed mood", "Difficulty initiating sleep", or "Hard to get started" were the most key symptoms that trigger and sustain the structure of insomnia and depressive symptom among shift workers. Hence, timely intervention for the above three symptoms in future research or clinical practice (e.g., cognitive behavioral therapy for insomnia) may be crucial in alleviating insomnia and depressive symptoms among shift workers.

Non-REM sleep in major depressive disorder

Disturbed sleep is a key symptom in major depressive disorder (MDD). REM sleep alterations are well described in the current literature, but little is known about non-REM sleep alterations. Additionally, sleep disturbances relate to a variety of cognitive symptoms in MDD, but which features of non-REM sleep EEG contribute to this, remains unknown. We comprehensively analyzed non-REM sleep EEG features in two central channels in three independently collected datasets (N = 284 recordings of 216 participants). This exploratory and descriptive study included MDD patients with a broad age range, varying duration and severity of depression, unmedicated or medicated, age- and gender-matched to healthy controls. We explored changes in sleep architecture including sleep stages and cycles, spectral power, sleep spindles, slow waves (SW), and SW-spindle coupling. Next, we analyzed the association of these sleep features with acute measures of depression severity and overnight consolidation of procedural memory. Overall, no major systematic alterations in non-REM sleep architecture were found in patients compared to controls. For the microstructure of non-REM sleep, we observed a higher spindle amplitude in unmedicated patients compared to controls, and after the start of antidepressant medication longer SWs with lower amplitude and a more dispersed SW-spindle coupling. In addition, long-term, but not short-term medication seemed to lower spindle density. Overnight procedural memory consolidation was impaired in medicated patients and associated with lower sleep spindle density. Our results suggest that alterations of non-REM sleep EEG in MDD might be more subtle than previously reported. We discuss these findings in the context of antidepressant medication intake and age.

Exploring the longitudinal clustering of lifestyle behaviors, social determinants of health, and depression

Lifestyle behaviors such as exercise, sleep, smoking, diet, and social interaction are associated with depression. This study aimed to model the complex relationships between lifestyle behaviors and depression and among the lifestyle behaviors. Data from three waves of the Midlife in the United States study were used, involving 6898 adults. Network models revealed associations between the lifestyle behaviors and depression, with smoker status being strongly associated with depression. Depression, smoker status, age, time, and exercise were some of the most central components of the networks. Future lifestyle intervention research might prioritize specific behaviors based on these associations and centrality indices.

The Cost-Effectiveness Analysis of Gamiguibi-Tang versus Hwangryunhaedok-Tang for Patients with Insomnia Disorder Based on a Randomized Controlled Trial

(1) Insomnia is associated with poor quality of life and loss of productivity, and is a significant economic burden on society. Gamiguibi-tang (GGBT) is the most frequently prescribed herbal medicine for insomnia treatment. Hwangryunhaedok-tang (HHT) is used as an insured herbal medicine for insomnia in the Korean National Health Insurance (NHI) system. This study aims to evaluate the cost-effectiveness of GGBT versus HHT in patients with insomnia disorders based on clinical trial data; (2) Methods: The EuroQol five-dimension scale (EQ-5D) was used to estimate quality-adjusted life-years (QALY). Direct and non-direct medical costs and lost productivity costs were estimated. The cost-effectiveness of GGBT was compared with HHT treatments over six weeks from a societal perspective; (3) Results: A total of 81 patients who underwent GGBT (n = 56) and HHT (n = 25) treatment completed the clinical trial. The EQ-5D score improved significantly more in the GGBT than in the HHT group (0.02 vs. −0.03, p < 0.05). The QALYs for six weeks were slightly greater in GGBT (0.0997) than in the HHT group (0.0987); however, the total costs incurred were approximately 9% less in GGBT ($934) than in the HHT group ($1029). GGBT was found to be a more economically dominant treatment option compared to HHT for treating insomnia; (4) Conclusions: Among herbal medicines, GGBT may be a cost-effective option for treating insomnia from a societal perspective in Korea.