Insomnia and depression: clinical associations and possible mechanistic links

Inter-relationships of depression and insomnia symptoms with life satisfaction in stroke and stroke-free older adults: Findings from the Health and Retirement Study based on network analysis and propensity score matching

BACKGROUND

Depression and insomnia are common co-occurring psychiatric problems among older adults who have had strokes. Nevertheless, symptom-level relationships between these disorders remain unclear.

OBJECTIVES

In this study, we compared inter-relationships of depression and insomnia symptoms with life satisfaction among older stroke patients and stroke-free peers in the United States.

METHODS

The study included 1026 older adults with a history of stroke and 3074 matched controls. Data were derived from the US Health and Retirement Study. Depression, insomnia and life satisfaction were assessed. Propensity score matching was employed to identify demographically-similar groups of stroke patients and controls. Central and bridge symptoms were assessed using Expected influence (EI) and bridge EI, respectively.

RESULTS

The prevalence of depression in the stroke group (25.0 %) was higher than that of controls (14.3 %, P < 0.001). In stroke group, "Feeling depressed" (CESD1; EI: 5.80), "Feeling sad" (CESD7; EI: 4.67) and "Not enjoying life" (CESD6; EI: 4.51) were the most central symptoms, while "Feeling tired in the morning" (JSS4; BEI: 1.60), "Everything was an effort" (CESD2; BEI: 1.21) and "Waking up during the night" (JSS2; BEI: 0.98) were key bridge symptoms. In controls, the most central symptoms were "Lack of happiness" (CESD4; EI: 6.45), "Feeling depressed" (CESD1; EI: 6.17), and "Feeling sad" (CESD7; EI: 6.12). Furthermore, "Feeling tired in the morning" (JSS4; BEI: 1.93), "Everything was an effort" (CESD2; BEI: 1.30), and "Waking up too early" (JSS3; BEI: 1.12) were key bridge symptoms. Life satisfaction had the most direct associations with "Not enjoying life" (CESD6) and "Feeling lonely" (CESD5) in the two groups, respectively.

CONCLUSION

Older adults with stroke exhibited more severe depression and insomnia symptoms. Interventions targeting central and bridge symptoms may help to mitigate the co-occurrence of these symptoms.

Cardiovascular Outcome in Patients with Major Depression: Role of Obstructive Sleep Apnea Syndrome, Insomnia Disorder, and COMISA

In this study, the 10-year cardiovascular risk associated with comorbid sleep disorders (insomnia disorder, obstructive sleep apnea syndrome, and COMISA [comorbid insomnia and sleep apnea]) was investigated for patients with major depression. To enable our analysis, 607 patients with major depression were selected from the data register of the Sleep Unit. High 10-year cardiovascular risk was considered present when the Framingham Risk Score was ≥10%. The 10-year cardiovascular risk associated with comorbid sleep disorders has been assessed using logistic regression analyzes. High 10-year cardiovascular risk is significant (40.4%) in patients with major depression. After successive introduction of the different confounders, multivariate logistic regressions showed that for patients with major depression high 10-year cardiovascular risk was significantly associated with COMISA but was not significantly associated with insomnia disorder or obstructive sleep apnea syndrome alone. Thus, these results highlight the existence of a negative synergistic action between insomnia disorder and obstructive sleep apnea syndrome on the 10-year cardiovascular risk in patients with major depression, which demonstrates the importance of researching and treating COMISA to improve the prognosis of this specific population subgroup characterized by higher cardiovascular morbidity and mortality.

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.

The relationship between family cohesion and bedtime procrastination among Chinese college students: the chain mediating effect of coping styles and mobile phone addiction

BACKGROUND

Bedtime procrastination refers to an individual's inability to go to bed at a predetermined time without external obstacles. Previous researchers have found that the bedtime procrastination is harmful to human physical and mental health, but these research on bedtime procrastination have mostly focused on exploring individual factors, while ignoring the external environmental factors. Therefore, this is the first study to investigate bedtime procrastination from the perspective of family environments.

METHODS

The study was conducted using a convenient sampling method and online questionnaires. Family Cohesion Scale, Coping Styles Questionnaire, Mobile Phone Addiction Tendency Scale and Bedtime Procrastination Scale were used to measure sleep and psychological condition of 1,048 college students.

RESULTS

Family cohesion negatively predicted bedtime procrastination. Additionally, positive coping style and mobile phone addiction had significant independent mediating effects. Furthermore, positive coping style and mobile phone addiction had chain mediating effects between family cohesion and bedtime procrastination.

CONCLUSION

This study revealed the effect of coping styles and mobile phone addiction on the relationship between family cohesion and bedtime procrastination among Chinese college students. These findings explained the mechanisms of bedtime procrastination from the perspective of environment, so as to effectively intervene the bedtime procrastination of college students from the perspective of external environment.

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.

Treating comorbid insomnia in patients enrolled in therapist-assisted transdiagnostic internet-delivered cognitive behaviour therapy for anxiety and depression: A randomized controlled trial

Transdiagnostic Internet-delivered cognitive behaviour therapy (ICBT) for patients experiencing anxiety and depression can produce large improvements in symptoms. Comorbid insomnia is common among individuals seeking treatment for anxiety and depression, yet transdiagnostic ICBT rarely targets insomnia and many ICBT patients report that symptoms of insomnia remain after treatment. This trial explored the impact of including a brief intervention for insomnia alongside an existing transdiagnostic ICBT course that included brief weekly therapist assistance. Patients were randomly assigned to receive either the Standard transdiagnostic (n = 75) or a Sleep-Enhanced course (n = 142), which included information on sleep restriction and stimulus control. Intent-to-treat analyses using generalized estimating equation (GEE) showed significant, large reductions in all primary outcomes (insomnia: d = 0.96, 95 % CI [0.68, 1.24]; depression: d = 1.04, 95 % CI [0.76, 1.33]; and anxiety: d = 1.23, 95 % CI [0.94, 1.52]) from pre-treatment to post-treatment, with changes maintained at 3-months. Patients assigned to the Sleep-Enhanced course reported larger reductions in insomnia than patients in the Standard transdiagnostic course (Cohen's d = 0.31, 95 % CI [0.034, 0.60]) at post-treatment but no significant between-group differences in any of the primary outcomes were found at follow-up. Patient-reported adherence to sleep restriction guidelines (p = .03), but not stimulus control instructions (p = .84) was associated with greater reductions in insomnia symptoms during the course. Overall, patients who received the Sleep-Enhanced course were satisfied with the materials and most patients reported making sleep behaviour changes. The trial results demonstrate that including a brief intervention targeting insomnia can be beneficial for many patients who enroll in ICBT primarily for symptoms related to anxiety and depression.

Sex differences in US military personnel with insomnia, obstructive sleep apnea, or comorbid insomnia and obstructive sleep apnea

STUDY OBJECTIVES

The aim of this study was to evaluate sex-related differences in symptoms of sleep disorders, sleep-related impairment, psychiatric symptoms, traumatic brain injury, and polysomnographic variables in treatment-seeking military personnel diagnosed with insomnia, obstructive sleep apnea (OSA), or comorbid insomnia and OSA (COMISA).

METHODS

Participants were 372 military personnel (46.2% women, 53.8% men) with an average age of 37.7 (standard deviation = 7.46) years and median body mass index of 28.4 (5.50) kg/m2. Based on clinical evaluation and video-polysomnography, participants were diagnosed with insomnia (n = 118), OSA (n = 118), or COMISA (n = 136). Insomnia severity, excessive daytime sleepiness, sleep quality, nightmare disorder, sleep impairment, fatigue, posttraumatic stress disorder, anxiety, depression symptoms, and traumatic brain injury were evaluated with validated self-report questionnaires. Descriptive statistics, parametric and nonparametric t-tests, and effect sizes were used to assess sex differences between men and women.

RESULTS

There were no significant differences between women and men with insomnia or OSA in sleep-related symptoms, impairment, or polysomnography-based apnea-hypopnea index. Military men with COMISA had a significantly greater apnea-hypopnea index as compared to military women with COMISA, but women had greater symptoms of nightmare disorder, posttraumatic stress disorder, and anxiety.

CONCLUSIONS

In contrast to civilian studies, minimal differences were observed in self-reported sleep symptoms, impairment, and polysomnography metrics between men and women diagnosed with the most frequent sleep disorders in military personnel (ie, insomnia, OSA, or COMISA) except in those with COMISA. Military service may result in distinct sleep disorder phenotypes that differ negligibly by sex.

CITATION

Mysliwiec V, Pruiksma KE, Matsangas P, et al. Sex differences in US military personnel with insomnia, obstructive sleep apnea, or comorbid insomnia and obstructive sleep apnea. J Clin Sleep Med. 2024;20(1):17-30.

Epidemiology of insomnia disorder in older persons according to the Diagnostic and Statistical Manual of Mental Disorders: a systematic review and meta-analysis

PURPOSE

There is a scarcity of summarizing data on the epidemiology of insomnia in older persons, especially when diagnosed with international criteria. This study aimed to estimate the prevalence and correlates of insomnia disorder in older persons, according to the Diagnostic and Statistical Manual of Mental Disorders (DSM).

METHODS

Through PubMed/MEDLINE, EMBASE, and Web of Science (WoS), we searched for relevant articles published before June 28, 2023. The risk of bias was weighed using the Joanna Briggs Institute's (JBI's) critical appraisal checklist for studies reporting prevalence data. For our analyses, we used a random-effect model, with subgroup analyses, meta-regression, and sensitivity analyses to explore potential sources of heterogeneity. We followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses statement.

RESULTS

We included 18,270 participants across 16 studies. The male/female ratio was 0.89 (12 studies), and the mean age varied from 65.9 to 83.1 years (8 studies). The pooled prevalence of insomnia was 19.6% (95% CI = [12.3%; 28.3%]), with substantial heterogeneity. This prevalence fluctuated according to the sample size, the minimal age for inclusion, and the study quality, considering that the risk of bias was moderate for most of studies. There was a publication bias, with a very low level of certainty. Insomnia disorder was associated with the female gender, depression, anxiety, and somatic illnesses notably cardiovascular, respiratory, and painful ones.

CONCLUSION

Nearly one in every five old individuals was considered to have insomnia disorder, which was associated with the gender and the existence of mental health and/or somatic conditions.

REGISTRATION

We registered the protocol in the International Prospective Register of Systematic Reviews (PROSPERO) with registration number: CRD42022344675.

Prevalence of insomnia and its association with quality of life in caregivers of psychiatric inpatients during the COVID-19 pandemic: a network analysis

BACKGROUND

Studies on sleep problems among caregivers of psychiatric patients, especially during the COVID-19 pandemic, are limited. This study examined the prevalence and correlates of insomnia symptoms (insomnia hereafter) among caregivers of psychiatric inpatients during the COVID-19 pandemic as well as the association with quality of life (QoL) from a network analysis perspective.

METHODS

A multi-center cross-sectional study was conducted on caregivers of inpatients across seven tertiary psychiatric hospitals and psychiatric units of general hospitals. Network analysis explored the structure of insomnia using the R program. The centrality index of "Expected influence" was used to identify central symptoms in the network, and the "flow" function was adopted to identify specific symptoms that were directly associated with QoL.

RESULTS

A total of 1,101 caregivers were included. The overall prevalence of insomnia was 18.9% (n = 208; 95% CI = 16.7-21.3%). Severe depressive (OR = 1.185; P < 0.001) and anxiety symptoms (OR = 1.099; P = 0.003), and severe fatigue (OR = 1.320; P < 0.001) were associated with more severe insomnia. The most central nodes included ISI2 ("Sleep maintenance"), ISI7 ("Distress caused by the sleep difficulties") and ISI1 ("Severity of sleep onset"), while "Sleep dissatisfaction" (ISI4), "Distress caused by the sleep difficulties" (ISI7) and "Interference with daytime functioning" (ISI5) had the strongest negative associations with QoL.

CONCLUSION

The insomnia prevalence was high among caregivers of psychiatric inpatients during the COVID-19 pandemic, particularly in those with depression, anxiety and fatigue. Considering the negative impact of insomnia on QoL, effective interventions that address insomnia and alteration of sleep dissatisfaction should be developed.

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.

Comparative efficacy of hypnotics in young and middle-aged adults with insomnia: a systematic review and network meta-analysis

OBJECTIVE/BACKGROUND

Insomnia is highly prevalent in modern society. However, the hierarchical selection of hypnotics in young and middle-aged adults with insomnia remains unclear. We aimed to compare the efficacy and daytime drowsiness associated with different hypnotics for treating insomnia in young and middle-aged adults.

METHODS

We searched Embase, PubMed, Cochrane Library, and ProQuest Dissertations and Theses A&I databases from inception until December 15, 2021. We also manually searched reference lists and relevant publications. The literature search, data collection, and risk of bias evaluation were all carried out separately by pairs of reviewers. We included randomized control trials (RCTs) that compared hypnotics approved by the Food and Drug Administration. The R and Stata software were both used to perform the meta-analysis.

RESULTS

In total, 117 RCTs comprising 22,508 participants with the age of 18 to 65 years were included. Assessment of the efficacy of the hypnotics and adverse events (drowsiness) revealed that zolpidem improved all objective sleep parameters (oTST, oSOL, oWASO, and oSE), zopiclone increased oTST and oSE and reduced oSOL, and daridorexant increased oTST and reduced oWASO. Regarding subjective sleep outcomes, zolpidem exhibited beneficial effects on sTST, sSOL, and sWASO. Zaleplon reduced sSOL, and zopiclone was the recommended hypnotic for improving SQ. Zolpidem was associated with drowsiness effect (odds ratio = 1.82; 95% confidence interval = 1.25 to 2.65). The results of sensitivity analysis remained unchanged after the exclusion of studies reporting long-term effects.

CONCLUSION

Zolpidem is recommended for managing sleep-onset insomnia and sleep maintenance insomnia but should be used with caution because of daytime drowsiness effects. Daridorexant is recommended as a promising agent for managing sleep maintenance insomnia.

Feasibility and efficacy of 'Can-Sleep': effects of a stepped-care approach to cognitive-behavioral therapy for insomnia in cancer

PURPOSE

This study aimed to evaluate the feasibility and clinical efficacy of the Can-Sleep stepped-care intervention for people with cancer-related sleep disturbance.

METHODS

A total of 147 individuals with cancer were screened. Participants who reported sleep disturbances and were at low-moderate risk for intrinsic sleep abnormalities were given self-managed cognitive behavioral therapy for insomnia (SMCBT-I). Those reporting sleep disturbance and scoring at high risk of intrinsic sleep abnormalities (i.e., restless leg syndrome and obstructive sleep apnoea) were referred to a specialist sleep clinic. In both groups, participants received a stepped-up group CBT-I intervention (GCBT-I) if they continued to report sleep disturbance following SMCBT-I or the specialist sleep clinic.

RESULTS

Overall, 87 participants reported sleep disturbance or screened at risk for intrinsic sleep abnormality. Thirty-four were referred to a specialist sleep clinic, and of the 17 who declined this referral, 14 were rereferred to SMCBT-I. In total, 62 participants were referred to SMCBT-I, and 56 commenced SMCBT-I. At post-intervention, the SMCBT-I group showed a significant decline in insomnia symptoms (p < .001, d = 1.01). Five participants who reported sleep disturbance after SMCBT-I and/or the specialist sleep clinic, accepted GCBT-I. Those who received the GCBT-I showed a significant reduction in insomnia symptoms (p < .01, d = 3.13).

CONCLUSIONS

This study demonstrates the feasibility and efficacy of a stepped-care intervention for sleep disturbances in people with cancer.

IMPLICATIONS FOR CANCER SURVIVORS

A stepped-care intervention for sleep disturbance is a feasible and potentially effective method of addressing a significant and unmet patient need.

Insomnia and common mental disorder among patients with pre-existing chronic non-communicable diseases in southern Ethiopia: a survey during COVID-19 pandemic

Background

COVID-19 has been causing significant mental health problems and other health-related issues. Despite the fact that COVID-19 has a significant impact on chronic disease patients, there is scant research on insomnia, common mental health disorders (CMD), and their associated factors among chronic disease patients.

Objective

The purpose of this study was to assess the prevalence of insomnia and common mental disorders (CMD) and their associated factors among patients with pre-existing chronic NCDs in Sidama, southern Ethiopia.

Methods

A multicenter cross-sectional study was undertaken between June 1 and September 1, 2021. The study included 633 participants. CMD and insomnia were assessed using a 20-item Self-Reported Questionnaire (SRQ-20) and a 7-item Insomnia Severity Index (ISI) scale, respectively. To describe the various variables, descriptive statistics were used. We performed multivariable logistic regression analysis to identify independent factors associated with CMD and insomnia. A value of p < 0.05 was considered statistically significant at a 95% confidence interval.

Results

The prevalence of insomnia and CMD was found to be 39.3% and 46.8%, respectively. Being merchant (AOR = 0.33; 95% CI = 0.13, 0.82), having a diagnosis of diabetes mellitus (AOR = 1.89; 95% CI = 1.04, 3.46), comorbid diagnosis (AOR = 3.96; 95% CI = 2.27, 6.89), low social support (poor (AOR = 3.37; 95% CI = 1.51, 7.57) and moderate (AOR = 3.13; 95% CI = 1.46, 6.69)), symptoms of insomnia (AOR = 12.08; 95% CI = 7.41, 19.72) and poor quality of life (QOL) (AOR = 1.67; 95% CI = 1.04, 2.72) were independent predictors of CMD. We also found out that, having cardiovascular disorders (CVDs) (AOR = 2.48; 95% CI = 1.18, 5.19), CMD (AOR = 12.09; 95% CI = 7.46, 19.61), and poor QOL (AOR = 2.04; 95% CI = 1.27, 3.26) were significantly associated with insomnia symptoms.

Conclusion

Our study suggests that substantially high prevalence of CMD and insomnia. Significant association between CMD and occupation, diagnosis, comorbidity, social support, insomnia, and QOL were found. We also revealed that having CVDs, CMD, and poor QOL were significantly associated with insomnia symptoms. Therefore, dealing with the mental health problems of patients with chronic NCDs is an essential component of public health intervention during the COVID-19 pandemic.

Ventral pallidal glutamatergic neurons regulate wakefulness and emotion through separated projections

Insomnia is often comorbid with depression, but the underlying neuronal circuit mechanism remains elusive. Recently, we reported that GABAergic ventral pallidum (VP) neurons control wakefulness associated with motivation. However, whether and how other subtypes of VP neurons regulate arousal and emotion are largely unknown. Here, we report glutamatergic VP (VPVglut2) neurons control wakefulness and depressive-like behaviors. Physiologically, the calcium activity of VPVglut2 neurons was increased during both NREM sleep-to-wake transitions and depressive/anxiety-like behaviors in mice. Functionally, activation of VPVglut2 neurons was sufficient to increase wakefulness and induce anxiety/depressive-like behaviors, whereas inhibition attenuated both. Dissection of the circuit revealed that separated projections of VPVglut2 neurons to the lateral hypothalamus and lateral habenula promote arousal and depressive-like behaviors, respectively. Our results demonstrate a subtype of VP neurons is responsible for wakefulness and emotion through separated projections, and may provide new lines for the intervention of insomnia and depression in patients.

Associations of sleep duration, daytime napping, and snoring with depression in rural China: a cross-sectional study

BACKGROUND

Most adult patients with depression complain about sleep symptoms, including insufficient and excessive sleep. However, previous studies investigating the impact of sleep duration on depression have yielded conflicting results. Therefore, this study aimed to analyse the link between depression and sleep duration, daytime napping, and snoring among rural Chinese adults.

METHODS

A cross-sectional study was conducted with 9104 individuals. Interviews were conducted with the participants regarding their sleep patterns and their daytime napping routines. The individuals were then assessed for depression using the Patient Health Questionnaire-9. The risk of depression was assessed using a multifactor binary logistic regression analysis. A generalized additive model was used to evaluate the nonlinear relationship between depression and sleep duration/nap time. Additionally, subgroup analysis was conducted to investigate the correlation between sleep duration, daytime napping, snoring, and depression.

RESULTS

Less than 6 h or more than 8 h of nighttime sleep, daytime napping for more than 1 h, and snoring were all significantly associated with an increased risk of depression. A U-shaped relationship was found between the duration of nighttime sleep and depression. In addition, we found that the nighttime duration of sleep, daytime naps, and snoring had a significant combined effect on the risk of depression. The subgroup analysis further revealed that lack of sleep at night significantly increased the risk of depression in all subgroups. However, snoring and excessive nighttime sleep and napping were only associated with the risk of depression in some subgroups.

CONCLUSIONS

Lack of nighttime sleep (short sleep duration), excessive sleep, and napping for more than one hour during the day were associated with a high risk of depression and had a combined effect with snoring.

Association Between Insomnia Symptoms and Trajectory With the Risk of Stroke in the Health and Retirement Study

BACKGROUND AND OBJECTIVES

Insomnia is a common condition affecting more than a third of the US population. However, the link between insomnia symptoms and stroke is understudied and the underlying mechanism remains unclear. This study aimed to investigate the relationship between insomnia symptoms and the incidence of stroke.

METHODS

The Health and Retirement Study, a survey of Americans older than 50 years and their spouses, from 2002 to 2020 was used as the data source. Only those who were stroke-free at baseline were included in this study. The exposure variable was insomnia symptoms and was derived from self-reported sleep-related factors including difficulty initiating sleep, difficulty maintaining sleep, waking up too early, and nonrestorative sleep. Repeated-measures latent class analysis was used to identify insomnia trajectories over time. To investigate the relationship between insomnia symptoms and stroke events reported during the follow-up period, Cox proportional hazards regression models were used. Mediation analyses of comorbidities were performed using causal mediation within a counterfactual framework.

RESULTS

A total of 31,126 participants were included with a mean follow-up of 9 years. The mean age was 61 years (SD = 11.1) and 57% were females. Insomnia symptom trajectories remained constant over time. Compared with those with no insomnia symptoms, an increased risk of stroke was observed for those with insomnia symptom scores ranging from 1 to 4 and 5 to 8 (hazard ratio (HR) = 1.16, 95% confidence interval (CI) 1.02-1.33) and (HR = 1.51, 95% CI 1.29-1.77), respectively, indicating a dose-response relationship. The association was stronger in participants younger than 50 years (HR = 3.84, 95% CI 1.50-9.85) than in those aged 50 years and older (HR = 1.38, 95% CI 1.18-1.62), comparing those with insomnia symptoms ranging from 5 to 8 with those with no insomnia symptoms. This association was mediated by diabetes, hypertension, heart disease, and depression.

DISCUSSION

Insomnia symptoms were associated with an increased risk of stroke, especially in adults younger than 50 years, and the risk was mediated by certain comorbidities. Increased awareness and management of insomnia symptoms may contribute to the prevention of stroke occurrence.

Network analysis of comorbid insomnia and depressive symptoms among psychiatric practitioners during the COVID-19 pandemic

STUDY OBJECTIVES

Insomnia and depression are common mental health problems reported by mental health professionals during the COVID-19 pandemic. Network analysis is a fine-grained approach used to examine associations between psychiatric syndromes at a symptom level. This study was designed to elucidate central symptoms and bridge symptoms of a depression-insomnia network among psychiatric practitioners in China. The identification of particularly important symptoms via network analysis provides an empirical foundation for targeting specific symptoms when developing treatments for comorbid insomnia and depression within this population.

METHODS

A total of 10,516 psychiatric practitioners were included in this study. The Insomnia Severity Index (ISI) and 9-item Patient Health Questionnaire (PHQ-9) were used to estimate prevalence rates of insomnia and depressive symptoms, respectively. Analyses also generated a network model of insomnia and depression symptoms in the sample.

RESULTS

Prevalence rates of insomnia (ISI total score ≥8), depression (PHQ-9 total score ≥5) and comorbid insomnia and depression were 22.2% (95% confidence interval: 21.4-22.9%), 28.5% (95% confidence interval: 27.6-29.4%), and 16.0% (95% confidence interval: 15.3-16.7%), respectively. Network analysis revealed that "Distress caused by sleep difficulties" (ISI7) and "Sleep maintenance" (ISI2) had the highest strength centrality, followed by "Motor dysfunction" (PHQ8) and "Sad mood" (PHQ2). Furthermore, the nodes "Sleep dissatisfaction" (ISI4), "Fatigue" (PHQ4), and "Motor dysfunction" (PHQ8) had the highest bridge strengths in linking depression and insomnia communities.

CONCLUSIONS

Both central and bridge symptoms (ie, Distress caused by sleep difficulties, Sleep maintenance, Motor dysfunction, Sad mood, Sleep dissatisfaction, and Fatigue) should be prioritized when testing preventive measures and specific treatments to address comorbid insomnia and depression among psychiatric practitioners during the COVID-19 pandemic.

CITATION

Zhao N, Zhao Y-J, An F, et al. Network analysis of comorbid insomnia and depressive symptoms among psychiatric practitioners during the COVID-19 pandemic. J Clin Sleep Med. 2023;19(7):1271-1279.

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.

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.

The dysfunctional beliefs and attitudes about sleep scale: Dimensions of the European Portuguese DBAS-30 and development of a new short version (DBAS–SF–16)

OBJECTIVES

The Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS) is the most widely validated instrument for assessing sleep-related cognitions. This study aimed to examine the reliability of the DBAS-30 European Portuguese version, explore its dimensionality, and develop a new short version suitable for differentiating the presence/absence of insomnia.

METHODS

From 824 participants aged 18-85 years, the Insomnia Group (IG, n = 355, 261 females and 94 males) and Normal Sleepers Group (NSG, n = 292, 237 females, 54 males and 1 with no response) were constituted. Thirty-one patients with Obstructive Sleep Apnea Syndrome were also recruited. For the DBAS 16-items version, the ability to differentiate dysfunctional beliefs between people with and without insomnia was used as the main criterion for item retention.

RESULTS

DBAS-30 PT demonstrated good internal consistency and significantly discriminated IG from NSG. Based on a robust EFA (RDWLS), a three-dimensional structure was determined for IG (Ageing and Hopelessness, Sleep Expectations, and Consequences and Helplessness). DBAS-SF-16 presented as an internally-consistent measure with a reliable two-factor structure (Consequences and Helplessness, Medication and Hopelessness) and showed construct and known groups validity. ROC analysis demonstrated DBAS-SF-16's relevant clinical accuracy, and 4.3 provides the best cut-off score in detecting the level of dysfunctional beliefs associated with clinical insomnia.

CONCLUSIONS

A new and meaningful dimensionality of the DBAS-30 was found. DBAS-SF-16 showed to be a reliable, valid, and robust tool for evaluating dysfunctional beliefs about insomnia in clinical and non-clinical populations.

The impact of sleep quality, fatigue and social well-being on depressive symptomatology in autistic older adolescents and young adults

Depression and poor sleep quality commonly co-occur with autism, and depression has been associated with loneliness and reduced social support. In non-autistic samples, poor sleep quality and daytime fatigue also contribute to depression. However, the contribution of sleep quality and fatigue to depressive symptoms, and how they interact with social factors to influence depression in autism remain unexplored. Our aim was to examine these relationships in 114 young autistic adults aged 15-25 years (57% male) from the SASLA online, longitudinal study (baseline and 2-year follow-up). Hierarchical multiple regression models examined the association between social well-being (social integration and social contribution; T1), sleep quality (T1, T2), and fatigue (T1, T2) on depression (T1, T2). Two mediation models were conducted on T1 data predicting depression from sleep quality though fatigue and sleep quality through social well-being. Depression and fatigue scores did not change over 2 years, but sleep quality worsened. The T1 regression model was significant (R² = 36%) with fatigue and social contribution individually predicting depression symptomatology. The longitudinal regression model was also significant (adjusted R² = 57%) with social contribution (T1) as the only significant predictor of depression (T2). Fatigue trended towards mediating the sleep quality-depression relationship, while social well-being was a significant partial mediator of this relationship. Results highlight that sleep quality, fatigue, and social well-being contribute to depression among young autistic adults. Interestingly, fatigue and social well-being were independently associated with depression. Thus, addressing sleep quality and associated fatigue, and social well-being is important when treating depression in autistic individuals.

Symptoms and survivorship needs differences between "good sleepers" and "bad sleepers" in survivors of breast and gynecologic cancers

INTRODUCTION

Although 80% of cancer survivors report symptoms of insomnia, only 28-43% meet DSM-5 criteria for this diagnosis. We sought to characterize the association between patient-reported insomnia symptoms, patient outcomes, and supportive care variables, as well as explore clinically meaningful insomnia thresholds in a sample of women diagnosed with breast and gynecologic cancers.

METHODS

From July 2018-March 2019, all breast and gynecologic cancer survivors seen at the Stanford Women's Cancer Center were approached and invited to participate in the study (15% declined). Of those who consented, 273 survivors completed an online survey related to their sleep (ISI), quality of life (FACT-G), distress (PHQ-4), supportive care needs (SCNS-SF34), and symptom severity (MDASI). Survivors who scored <8 on ISI were categorized as "good sleepers," survivors with ISI ≥8 were categorized as "bad sleepers."

RESULTS

126 (46.2%) of survivors were "good sleepers," 147 (53.8%) were "bad sleepers." Good sleepers were older than bad sleepers (p < .05) but did not differ in any other demographic or any medical variables. Using hierarchical linear regression models, we found that good sleep (ISI <8) was associated with higher quality of life, lower psychological distress, increased social support, lower symptom severity, and lower supportive care needs, after accounting for demographic, medical, and treatment variables. The findings were largely replicated with an ISI cut off of 15.

CONCLUSIONS

Among women treated for breast and gynecologic cancers, survivors who were good sleepers had better psychosocial outcomes, fewer supportive care needs, and lower symptom severity compared to those who reported insomnia symptoms. Results also indicate that degree of sleep impairment, whether mild or severe, has similarly poor associations with most aspects of patient functioning and symptomatic burden. Further research is needed to determine causality of these findings.

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.

Self-esteem only goes so far: the moderating effect of social media screen time on self-esteem and depressive symptoms

This study assessed the independent association of self-esteem and social media screen time on depressive symptoms, as well as the moderating role of social media screen time in the relationship between self-esteem and depressive symptoms. The Mobile Screen Time Project was a cross-sectional, web-based survey conducted from March to May of 2019. 437 U.S. college students were recruited via social networks from two institutions of higher education. Multivariable logistic regression assessed the associations between self-esteem and average daily social media time with depressive symptoms; an interaction effect was explored. Self-esteem had an inverse association (AOR = 0.87, 95% CI: 0.80-0.94) and daily social media time had a significant association with depressive symptoms (AOR = 1.11, 95% CI: 1.02-1.22) after adjusting for sexual and gender status, race/ethnicity, age, social status, and insomnia. We found a significant moderating effect (p = 0.016) of daily social media time. The more time spent on social media, the less protective self-esteem was against depressive symptoms. Those suffering from depressive symptoms or low self-esteem may benefit from reducing their social media use, intentionally exposing themselves to positive content and leveraging peer-to-peer social support through social media to create a sense of belonging.

The Effect of Depressive and Insomnia Symptoms in Quality of Life among Community-Dwelling Older Adults

The purpose of this study was to investigate the effects of depressive symptoms, insomnia symptoms, and comorbid depressive and insomnia symptoms on the quality of life among community-dwelling older adults in an urban area of central Greece. A cross-sectional study was conducted on 200 older adults (aged ≥ 60) collected from five Open Care Centers for Elderly People of the Municipality of Larissa, Greece. Data were obtained through a questionnaire that included demographic, socioeconomic, and health-related characteristics; the World Health Organization Quality of Life (WHOQoL)-Bref questionnaire; the Geriatric Depression Scale; and the Athens Insomnia Scale. The prevalences of depression, insomnia, and comorbid depression and insomnia were 28% (95% confidence interval (95% CI): 21.8-34.2%), 40.5% (95% CI: 33.7-47.3%), and 19% (95% CI: 13.5-24.5%), respectively. The mean WHOQoL-Bref score for all domains was approximately 14.50, with the highest mean value observed for psychological health (14.79 ± 2.60), followed by the physical health (14.49 ± 2.66), social relationships (14.39 ± 2.03), and environmental domains (14.32 ± 1.90). All WHOQoL-Bref domains were negatively correlated with depression and insomnia. Older adults with depressive symptoms, insomnia symptoms, and comorbid depressive and insomnia symptoms had lower scores in all quality of life dimensions compared with those without.

Adaptive Solutions to the Problem of Vulnerability During Sleep

Sleep is a behavioral state whose quantity and quality represent a trade-off between the costs and benefits this state provides versus the costs and benefits of wakefulness. Like many species, we humans are particularly vulnerable during sleep because of our reduced ability to monitor the external environment for nighttime predators and other environmental dangers. A number of variations in sleep characteristics may have evolved over the course of human history to reduce this vulnerability, at both the individual and group level. The goals of this interdisciplinary review paper are (1) to explore a number of biological/instinctual features of sleep that may have adaptive utility in terms of enhancing the detection of external threats, and (2) to consider relatively recent cultural developments that improve vigilance and reduce vulnerability during sleep and the nighttime. This paper will also discuss possible benefits of the proposed adaptations beyond vigilance, as well as the potential costs associated with each of these proposed adaptations. Finally, testable hypotheses will be presented to evaluate the validity of these proposed adaptations.

Disrupted sleep and risk of depression in later life: A prospective cohort study with extended follow up and a systematic review and meta-analysis

BACKGROUND

Sleep difficulties increase the risk of current and future depression, but it is unclear if this relationship is causal.

METHODS

Prospective cohort study of a community sample of men aged 70-89 years followed for up to 17 years. Initial assessments occurred between 2001 and 2004. Participants were followed until death or 31 December 2018. Patient Health Questionnaire (PHQ-9) ≥ 10 at subsequent waves of assessments (every 2-3 years) or the recorded diagnosis of a depressive disorder in the Western Australian Data Linkage System marked the onset of depression during follow up. We excluded from follow up men with prevalent depression. The systematic review of longitudinal studies examining the association between disrupted sleep and depression in later life followed PRISMA guidelines.

RESULTS

3441 of 5547 older men reported sleep difficulties at study entry. Current or past depression affected 437 of 5547 participants. Of the 4561 older men free of depression, 2693 reported sleep difficulties. The hazard ratio (HR) of incident depression among participants with sleep problems was 1.67 (95%CI = 1.39-2.00). Statistical adjustments for age, place of birth, education, smoking and physical frailty did not change the effect-size of this association. The systematic review identified another 14 studies, and the meta-analysis yielded an overall risk ratio of depression of 1.82 (95%CI = 1.69-1.97), although the overall quality of available evidence was sub-optimal.

CONCLUSIONS

Disrupted sleep increases the risk of depression in later life and this seems unlikely to be due to reverse causality. Older adults with sleep difficulties are legitimate targets of interventions to prevent depression.

Mobile Intervention to Improve Sleep and Functional Health of Veterans With Insomnia: Randomized Controlled Trial

Background

Insomnia is a prevalent and debilitating disorder among veterans. Cognitive behavioral therapy for insomnia (CBTI) can be effective for treating insomnia, although many cannot access this care. Technology-based solutions and lifestyle changes, such as physical activity (PA), offer affordable and accessible self-management alternatives to in-person CBTI.

Objective

This study aims to extend and replicate prior pilot work to examine whether the use of a mobile app for CBTI (cognitive behavioral therapy for insomnia coach app [CBT-i Coach]) improves subjective and objective sleep outcomes. This study also aims to investigate whether the use of the CBT-i Coach app with adjunctive PA improves sleep outcomes more than CBT-i Coach alone.

Methods

A total of 33 veterans (mean age 37.61 years, SD 9.35 years) reporting chronic insomnia were randomized to use either the CBT-i Coach app alone or the CBT-i Coach app with a PA intervention over 6 weeks, with outcome measures of objective and subjective sleep at pre- and posttreatment.

Results

Although the PA manipulation was unsuccessful, both groups of veterans using the CBT-i Coach app showed significant improvement from baseline to postintervention on insomnia (P<.001), sleep quality (P<.001), and functional sleep outcomes (P=.002). Improvements in subjective sleep outcomes were similar in those with and without posttraumatic stress disorder and mild-to-moderate sleep apnea. We also observed a significant but modest increase in objective sleep efficiency (P=.02).

Conclusions

These findings suggest that the use of a mobile app–delivered CBTI is feasible and beneficial for improving sleep outcomes in veterans with insomnia, including those with comorbid conditions such as posttraumatic stress disorder or mild-to-moderate sleep apnea.

Trial Registration

ClinicalTrials.gov NCT03305354; https://clinicaltrials.gov/ct2/show/NCT03305354

A Comparison of Psychological Stress and Sleep Problems in Undocumented Students, DACA Recipients, and U.S. Citizens

Amidst the uncertainty of a shifting political landscape, our study examined stress and sleep problems experienced by both Deferred Action for Childhood Arrivals (DACA) undergraduates and non-DACA undocumented immigrants in an undergraduate population, in relation to students who were US citizens. We surveyed 969 students (93% Hispanic; 69% female) in 2017 or 2019 using established measures of stress, sleep quality, and insomnia. Collapsed across years, undocumented students reported significantly greater stress than citizens and DACA students, but DACA students did not differ from citizens. No differences were found in sleep for either quality or insomnia. Additionally, DACA student stress was significantly higher in 2019 than 2017, rising to a level similar to that of undocumented students and that differed significantly from citizens. Undocumented students appear to experience greater stress than students who are U.S. citizens, but these differences do not extend to sleep quality or insomnia.

Artificial neural network and decision tree models of post-stroke depression at 3 months after stroke in patients with BMI ≥ 24

OBJECTIVE

Previous studies have shown that excess weight (including obesity and overweight) can increase the risk of cardiovascular, cerebrovascular and other diseases, but there is no study on the incidence of post-stroke depression (PSD) and related factors in patients with excessive weight. The main purpose of this study was to find related factors of PSD at 3 months after stroke in patients with excessive weight and construct artificial neural network (ANN) and decision tree (DT) models.

METHODS

This is a prospective multicenter cohort study (Registration number: ChiCTR-ROC-17013993). Five hundred and three stroke patients with Body Mass Index(BMI) ≥ 24 were included in this study. The diagnostic criteria of PSD is according to the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-V) diagnostic criteria for depression due to other medical conditions and the HAMD-17 scores > 7 at 3 months after stroke was used as the primary endpoint. The χ² test, Mann-Whitney U test or t-test were used to check for statistical significance.

RESULTS

Our study found that sleeping time < 5 h, CHD, physical exercise, BI score, N dimension(EPQ) and subjective support(SSRS) were associated with PSD in patients with excessive weight. Physical exercise(odd ratio [OR] = 0.49, p = 0.001, 95%CI [confidence interval]: 0.32-0.75) and BI score(OR = 0.99, p < 0.001, 95%CI: 0.98-0.99) were protective factors; sleeping time < 5 h(OR = 2.86, p < 0.001, 95%CI: 1.62-5.04), CHD(OR = 2.18, p = 0.018, 95%CI: 1.14-4.15), N dimension(OR = 1.08, p = 0.001, 95%CI: 1.03-1.13) and subjective support(OR = 1.04, p = 0.022, 95%CI: 1.01-1.07) were risk factors.

CONCLUSION

This study found several factors related to the occurrence of PSD at 3 months in patients with excessive weight. Meanwhile, ANN and DT models were constructed for clinicians to use.

Neural Response to Rewards in Youths with Insomnia

STUDY OBJECTIVES

Insomnia and depression are common comorbid conditions in youths. Emerging evidence suggests that disrupted reward processing may be implicated in the association between insomnia and the increased risk for depression. Reduced reward positivity (RewP) as measured by event-related potential (ERP) has been linked to depression, but has not been tested in youths with insomnia.

METHODS

Twenty-eight participants with insomnia disorder and without any comorbid psychiatric disorders and 29 healthy sleepers aged between 15-24 completed a monetary reward task, the Cued Door task, whilst electroencephalographic activity was recorded. RewP (reward minus non-reward difference waves) was calculated as the mean amplitudes within 200ms to 300ms time window at FCz. Two analyses of covariance (ANCOVAs) were conducted with age as a covariate on RewP amplitude and latency, respectively.

RESULTS

Participants with insomnia had a significantly lower RewP amplitude regardless of cue types (Gain, Control, and Loss) than healthy sleepers, F (1, 51) = 4.95, p = .031, indicating blunted reward processing. On the behavioural level, healthy sleepers were more prudential (slower reaction time) in decision making towards Loss/Gain cues than their insomnia counterparts. Trial-by-trial behavioural adjustment analyses showed that, compared with healthy sleepers, participants with insomnia were less likely to dynamically change their choices in response to Loss cues.

CONCLUSIONS

Dysfunctional reward processing, coupled with inflexibility of behavioural adjustment in decision-making, is associated with insomnia disorder among youth, independent of mood disorders. Future studies with long-term follow-up are needed to further delineate the developmental trajectory of insomnia-related reward dysfunctions in youth.

Pre-existing and post-pandemic insomnia symptoms are associated with high levels of stress, anxiety, and depression globally during the COVID-19 pandemic

STUDY OBJECTIVES

The coronavirus disease 2019 (COVID-19) pandemic has led to an increased prevalence of insomnia and mental health symptoms globally. However, most studies to date have not examined mental health symptoms between individuals with insomnia, either pre-existing or developing post-pandemic compared with good sleepers. This study examined differences in stress, anxiety, and depression between individuals with pre-existing insomnia symptoms, post-pandemic insomnia symptoms, and no insomnia symptoms in response to the COVID-19 pandemic.

METHODS

A cross-sectional survey was completed by 2724 participants from 67 countries during the COVID-19 pandemic. Perceived stress, anxiety, and depressive symptoms were compared between individuals with post-pandemic insomnia symptoms (n = 1007), pre-existing insomnia symptoms (n = 804), and no insomnia symptoms (n = 913).

RESULTS

Post-pandemic insomnia symptoms were associated with higher levels of stress, anxiety, and depression than pre-existing or no insomnia symptoms (P < .001). Pre-existing insomnia symptoms were also associated with higher levels of stress, anxiety, and depression than no insomnia symptoms (P < .001). Individuals who met likely criteria for acute insomnia also reported higher stress, anxiety, and depression than those with insomnia disorder (P < .001). Across all groups, individuals reporting a previous mental health diagnosis had worse stress, anxiety, and depression than those without a previous mental health diagnosis (P < .001). Last, individuals from South Africa reported higher levels of stress, anxiety, and depression than other countries (P < .01).

CONCLUSIONS

Internationally, individuals with pre-existing and post-pandemic insomnia symptoms may be more susceptible to stress, anxiety, and depression during the COVID-19 pandemic. Public health initiatives should include insomnia management to improve mental health during the pandemic.

CITATION

Meaklim H, Junge MF, Varma P, Finck WA, Jackson ML. Pre-existing and post-pandemic insomnia symptoms are associated with high levels of stress, anxiety, and depression globally during the COVID-19 pandemic. J Clin Sleep Med. 2021;17(10):2085-2097.

Sleep quality, depressive symptoms, and transplant outcomes: Follow-up analyses from the ADAPT prospective pilot study

BACKGROUND

Previous studies suggested that depressive symptoms and sleep quality may be important for long-term clinical outcomes following cardiothoracic transplant. Few studies, however, have systematically examined objective markers of these behavioral factors among ambulatory transplant recipients, or their association with clinical outcomes.

METHODS

We examined sleep quality and depressive symptoms with subsequent clinical outcomes (hospitalizations and death) in a sample of 66 lung or heart transplant recipients using a single-center, prospective cohort study. Recipients were assessed at approximately 6 months post-transplant and completed one week of actigraphy assessment to examine sleep quality and self-report measures of mood (Centers for Epidemiologic Studies of Depression [CESD]). Recipients were followed for clinical outcomes.

RESULTS

At 6-months following transplantation, recipients spent the majority of daytime activity at a sedentary level (61% of daily activity [SD = 10]) and elevated depressive symptoms were common (subclinical = 17%, mild = 12%, or moderate = 8%). Over a median follow-up of 4.5 years (IQR = 0.9, 5.1), 51 participants (77%) had at least one unplanned hospitalization and 11 (17%) participants died. In addition, sleep efficiency measurements suggested that a subset of participants exhibited suboptimal sleep (mean efficiency = 87% [SD = 7]). Poorer sleep quality, indexed by lower sleep efficiency and greater sleep fragmentation, was associated with greater depressive symptoms (r's = 0.37-0.50, P < .01). Better sleep quality at 6-months (HR = 0.75 [0.60, 0.95], P = .015), including sleep efficiency (HR = 0.74 [0.56, 0.99], P = .041) and sleep fragmentation (HR = 0.71 [0.53, 0.95], P = .020) were associated with lower risk of hospitalization or death. Compared with individuals without elevated depressive symptoms or sleep difficulties, individuals with either factor (HR = 1.72 [1.05, 2.81], P = .031) or both factors (HR = 2.37 [1.35, 4.18], P = .003) exhibited greater risk of clinical events in adjusted analyses.

CONCLUSIONS

Sleep quality is associated with depressive symptoms among cardiothoracic transplant recipients and enhances the prognostic association between biobehavioral risk factors and clinical outcomes.

Symptoms of distress during the COVID-19 pandemic in the United States

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic in the United States can negatively impact physical and mental health. Participants were asked about psychosocial factors associated with experiencing symptoms of distress via surveys distributed on Social Media. Results showed that younger age, unemployment/losing wages/job, worse perceived general health (compared to excellent health) and recent smoking were consistently associated with increased odds of feelings of depression and anxiety. Further, females (aOR=1.96, 95% CI: 1.24, 3.11) was associated with increased odds of feelings of depression. Findings reinforce a call for widespread, targeted prevention and treatment interventions for particular groups.

Insomnia during the COVID-19 pandemic: the role of depression and COVID-19-related risk factors

The COVID-19 pandemic has resulted in dramatic changes to sleep patterns and higher prevalence of insomnia, which threaten overall mental and physical health. We examined whether safety behaviors in response to COVID-19, worry in response to COVID-19, and depression predicted insomnia, with age, race, and sex as covariates. A community sample from the United States (n = 321, Mage = 40.02, SD = 10.54; 53.6% female) recruited using online crowdsourcing completed self-report measures in May of 2020 and again three months later. At baseline, our model accounted for 68.1% of the variance in insomnia, with depression as the only significant predictor (β = .70, p < .001). In the longitudinal analyses, only baseline insomnia symptoms predicted 3-month follow-up insomnia symptoms (β = .70, p < .001; 67.1% of variance). Of note, COVID-19 worry and some COVID-19 safety behaviors were related to 3-month follow-up safety behaviors, but not insomnia. Our findings demonstrated that depression is an important factor to consider for concurrent insomnia symptoms. Our results have implications regarding the development of interventions for insomnia during the COVID-19 pandemic and suggest that clinicians should consider depression when assessing for and treating insomnia symptoms.

Digital cognitive behavioral therapy for insomnia promotes later health resilience during the coronavirus disease 19 (COVID-19) pandemic

STUDY OBJECTIVES

Stressful life events contribute to insomnia, psychosocial functioning, and illness. Though individuals with a history of insomnia may be especially vulnerable during stressful life events, risk may be mitigated by prior intervention. This study evaluated the effect of prior digital cognitive-behavioral therapy for insomnia (dCBT-I) versus sleep education on health resilience during the COVID-19 pandemic.

METHODS

COVID impact, insomnia, general- and COVID-related stress, depression, and global health were assessed in April 2020 in adults with a history of insomnia who completed a randomized controlled trial of dCBT-I (n = 102) versus sleep education control (n = 106) in 2016-2017. Regression analyses were used to evaluate the effect of intervention conditions on subsequent stress and health during the pandemic.

RESULTS

Insomnia symptoms were significantly associated with COVID-19 related disruptions, and those who previously received dCBT-I reported less insomnia symptoms, less general stress and COVID-related cognitive intrusions, less depression, and better global health than those who received sleep education. Moreover, the odds for resurgent insomnia was 51% lower in the dCBT-I versus control condition. Similarly, odds of moderate to severe depression during COVID-19 was 57% lower in the dCBT-I condition.

CONCLUSIONS

Those who received dCBT-I had increased health resilience during the COVID-19 pandemic in adults with a history of insomnia and ongoing mild to moderate mental health symptoms. These data provide evidence that dCBT-I is a powerful tool to promote mental and physical health during stressors, including the COVID-19 pandemic.

CLINICAL TRIAL REGISTRATION

NCT02988375.

REM Sleep Fragmentation in Patients With Short-Term Insomnia Is Associated With Higher BDI Scores

Objective: To observe the changes in sleep characteristics and BDI scores in patients with short-term insomnia disorder (SID) using a longitudinal observational study. Methods: Fifty-four patients who met the criteria for SID of the International Classification of Sleep Disorders, third edition, were recruited. Depression levels were assessed using the Beck depression inventory (BDI) at enrollment and after 3 months of follow-up, respectively. Sleep characteristics were assessed by polysomnography. Results: After 3 months of follow-up, the group was divided into SID with increased BDI score (BDI >15) and SID with normal BDI score (BDI ≤ 15) according to the total BDI score of the second assessment. The differences in rapid eye movement (REM) sleep latency, REM sleep arousal index, and NREM sleep arousal index between the two groups were statistically significant. The total BDI score was positively correlated with REM and NREM sleep arousal index and negatively correlated with REM sleep latency, which were analyzed by Pearson correlation coefficient. Multiple linear regression was used to construct a regression model to predict the risk of depression in which the prediction accuracy reached 83.7%. Conclusion: REM sleep fragmentation is closely associated with future depressive status in patients with SID and is expected to become an index of estimating depression risk.

Relationship between eHealth literacy and psychological status during COVID-19 pandemic: A survey of Chinese residents

Aims

To investigate the eHealth literacy and the psychological status of Chinese residents during the COVID‐19 pandemic and explore their interrelationship.

Background

The COVID‐19 outbreak has placed intense psychological pressure on community residents. Their psychological status may be affected by eHealth literacy due to home isolation during this rampant pandemic.

Methods

This is a Web‐based cross‐sectional survey conducted on the JD Health platform, which resulted in 15,000 respondents having participated in this survey. The eHealth Literacy Questionnaire (EHLQ), Patient Health Questionnaire‐9 (PHQ‐9), Insomnia Severity Index (ISI) and Impact of Event Scale‐Revised (IES‐R) were used. The Pearson correlation was used to analyse the relationship between eHealth literacy and depression, insomnia and post‐traumatic stress disorder.

Results

The score of eHealth literacy was 48.88 ± 8.46, and 11.4%, 6.8% and 20.1% of respondents experienced moderate to severe depression, insomnia and post‐traumatic stress disorder. eHealth literacy negatively correlated with depression (r = −0.331), insomnia (r = −0.366) and post‐traumatic stress disorder (r = −0.320).

Conclusion

eHealth literacy is closely related to psychological status. Improving eHealth literacy may contribute to maintaining good psychological well‐being.

Implications for Nursing Management

It is necessary to strengthen the education of primary health care providers to enhance their ability to help community residents effectively use eHealth information.

The Impact of Sleep Disorders on Functional Recovery and Participation Following Stroke: A Systematic Review and Meta-Analysis

Background

Adequate sleep is vital for health and quality of life. People with stroke and a concomitant sleep disorder may have poorer outcomes than those without a sleep disorder.

Objective

To systematically evaluate the published literature to determine the impact of sleep disorders on physical, functional recovery at the activity and participation level after stroke.

Methods

A systematic review was conducted using PubMed, CINAHL, Scopus, and PsycINFO. Studies were selected that reported outcomes on physical, functional recovery at the activity and participation levels in participants with stroke and a diagnosed sleep disorder. A meta-analysis was performed on included studies that reported Barthel Index (BI) and modified Rankin Scale (mRS) scores. Results: A total of 33 studies were included in the systematic review with 9 of them in the meta-analysis. The mean mRS score was 0.51 points higher in participants with stroke and sleep disorders versus participants with stroke without sleep disorder [95% CI: 0.23-0.78]. The mean BI score was 10.2 points lower in participants with stroke and sleep disorders versus participants with stroke without sleep disorder [95% CI: −17.9 to −2.6].

Conclusions

People with stroke and a sleep disorder have greater functional limitations and disability than those without a sleep disorder. Rehabilitation professionals should screen their patients with stroke for potential sleep disorders and further research is needed to develop sleep and rehabilitation interventions that can be delivered in combination. PROSPERO registration number: CRD42019125562.

The effects of cognitive behavioral therapy for insomnia in people with type 2 diabetes mellitus, pilot RCT part II: diabetes health outcomes

BACKGROUND

Previous studies have shown the negative impact of sleep disturbances, specifically insomnia symptoms, on glucose metabolism for people with type 2 diabetes (T2D). People with insomnia symptoms are at risk of poor glycemic control and suboptimal diabetes self-care behavior (DSCB). Investigating the impact of a safe and effective intervention for individuals with T2D and insomnia symptoms on diabetes' health outcomes is needed. Therefore, the aim of this exploratory study is to examine the effects of Cognitive Behavioral Therapy for Insomnia (CBT-I) on glycemic control, DSCB, and fatigue.

METHODS

Twenty-eight participants with T2D and insomnia symptoms, after passing an eligibility criteria at a medical research center, were randomly assigned to CBT-I (n = 14) or Health Education (HE; n = 14). The CBT-I and HE groups received 6 weekly one-hour sessions. This Randomized Controlled Trial (RCT) used a non-inferiority framework to test the effectiveness of CBT-I. Validated assessments were administered at baseline and post-intervention to assess glycemic control, DSCB, and fatigue. A Wilcoxon signed-rank test was utilized to compare within-group changes from baseline to post-intervention. A Mann-Whitney test was utilized to measure the between-group differences. Linear regression was used to assess the association between the blood glucose level and the number of days in the CBT-I group.

RESULTS

The recruitment duration was from October 2018 to May 2019. A total of 13 participants completed the interventions in each group and are included in the final analysis. No adverse events, because of being a part of this RCT, were reported. CBT-I participants showed significantly greater improvement in glycemic control, DSCB, and fatigue. There was a significant association between the number of days in the CBT-I intervention with the blood glucose level before bedtime (B = -0.56, p = .009) and after awakening in the morning (B = -0.57, p = .007).

CONCLUSIONS

This study demonstrated a clinically meaningful effect of CBT-I on glycemic control in people with T2D and insomnia symptoms. Also, CBT-I positively impacted daytime functioning, including DSCB and fatigue. Future research is needed to investigate the long-term effects of CBT-I on laboratory tests of glycemic control and to understand the underlying mechanisms of any improvements.

TRIAL REGISTRATION

Clinical Trials Registry ( NCT03713996 ). Retrospectively registered on 22 October 2018.

Guipi decoction for insomnia: Systematic review and meta-analysis

BACKGROUND

Insomnia is a common sleep disorder with symptoms including difficulty falling asleep and early awakening. Guipi decoction is widely used in clinical treatment of insomnia in China. However, there is a lack of systematic evaluation and analysis of Guipi decoction. Therefore, our study will provide efficacy assessments and adverse events assessments.

METHODS

A comprehensive search for randomized controlled trials of Gupi decoction treatments for insomnia will be carried in MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trial (CENTRAL), CINAHL, AMED and Chinese databases include CBM, CNKI, CQVIP, and Wanfang from their inceptions to May 2020. Relevant reference lists, Baidu Scholar and grey literature will also be checked. Two experienced reviewers will independently search all databases. Primary outcomes include Pittsburgh sleep quality index and clinical effective rate, and secondary outcomes include traditional Chinese medicine syndrome, adverse events, and Epworth Sleepiness Scale. Review Manager 5.3 software will be used analyze all data.

RESULTS

This article will be dedicated to assessing the efficacy and safety of Guipi decoction for insomnia.

CONCLUSION

The conclusion of this systematic review will provide evidence to judge whether Guipi Decoction is an effective therapeutic intervention for patient with insomnia. Maybe these results could potentially be helpful for improving the therapeutic strategy of patients with insomnia.

PROSPERO REGISTRATION NUMBER

CRD 42020164911.

Insomnia in the Italian Population During Covid-19 Outbreak: A Snapshot on One Major Risk Factor for Depression and Anxiety

Objectives: One of the largest clusters of Covid-19 infections was observed in Italy. The population was forced to home confinement, exposing individuals to increased risk for insomnia, which is, in turn, associated with depression and anxiety. Through a cross-sectional online survey targeting all Italian adult population (≥18 yrs), insomnia prevalence and its interactions with relevant factors were investigated. Methods: The survey was distributed from 1st April to 4th May 2020. We collected information on insomnia severity, depression, anxiety, sleep hygiene behaviors, dysfunctional beliefs about sleep, circadian preference, emotion regulation, cognitive flexibility, perceived stress, health habits, self-report of mental disorders, and variables related to individual difference in life changes due to the pandemic's outbreak. Results: The final sample comprised 1,989 persons (38.4 ± 12.8 yrs). Prevalence of clinical insomnia was 18.6%. Results from multivariable linear regression showed that insomnia severity was associated with poor sleep hygiene behaviors [β = 0.11, 95% CI (0.07-0.14)]; dysfunctional beliefs about sleep [β = 0.09, 95% CI (0.08-0.11)]; self-reported mental disorder [β = 2.51, 95% CI (1.8-3.1)]; anxiety [β = 0.33, 95% CI (0.25-0.42)]; and depression [β = 0.24, 95% CI (0.16-0.32)] symptoms. Conclusion: An alarming high prevalence of clinical insomnia was observed. Results suggest that clinical attention should be devoted to problems of insomnia in the Italian population with respect to both prevention and treatment.