Efficacy of digital cognitive behavioural therapy for insomnia: a meta-analysis of randomised controlled trials

Experienced discrimination and internalized stigma among people infected with SARS-CoV-2 and surviving COVID-19: Association with anxiety, depression, and insomnia symptoms

People surviving COVID-19 may experience social stigma related to their condition even after clinical recovery. This study aimed to: (1) investigate COVID-19-related experienced discrimination and internalized stigma, and (2) explore their association with symptoms of anxiety, depression, and insomnia. We conducted an online survey of people who survived COVID-19. Perception of stigma was assessed using the COVID-19 Experienced Discrimination Scale and the COVID-19 Internalized Stigma Scale. Depression, anxiety, and insomnia were assessed using, respectively, the Patient Health Questionnaire-9, the General Anxiety Disorder Scale-7, and the Insomnia Severity Index. Multivariable logistic regression analyses for each psychopathological domain were performed. A total of 579 participants participated in this study. Overall, 25% reported some degree of experienced discrimination, and 23% reported some degree of internalized stigma. Adjusted odds ratio showed that scoring higher on internalized stigma related significantly to higher symptoms of depression (2.14; 95% confidence interval [CI], 1.35-3.39), anxiety (2.30; 95% CI, 1.48-3.59), and insomnia (2.54; 95% CI, 1.64-3.95), whereas experienced discrimination was associated to anxiety (1.55; 95% CI, 1.06-2.28) and insomnia (1.82; 95% CI, 1.24-2.69). Experiences of social stigmatization are frequent among people surviving COVID-19 and seem to be associated with levels of psychological disturbances. Further research is required to elucidate the direction of these relationships to implement effective treatment strategies.

Cognitive Behavioral Therapy for Insomnia Self-Management Mobile Apps: A Review of Efficacy and Quality

Cognitive behavioral therapy for insomnia (CBT-I) is the recommended treatment for insomnia, yet multiple barriers limit utilization. Digital CBT-I may present a solution, though related reviews have focused on Internet-based delivery rather than app use. The high utilization of health apps and prevalence of sleep apps indicate the need to equip clinicians with app-specific research. Toward this end, we reviewed efficacy and quality data on self-management CBT-I smartphone apps, revealing efficacy research on eleven apps, five of which were publicly available. While preliminary, these efficacy studies showed consistent positive findings. When examining quantitative quality indicators for the five publicly available apps, two had consistent data. Overall, two apps, CBTi Coach and Insomnia Coach, had positive, empirical findings across all efficacy and quality assessment approaches. We provide recommendations to guide clinician decision making regarding CBT-I self-management apps based on the literature and publicly available methods of app evaluations.

Comparing the Efficacy of Electronically Delivered Cognitive Behavioral Therapy (e-CBT) to Weekly Online Mental Health Check-Ins for Generalized Anxiety Disorder-A Randomized Controlled Trial: Comparaison de l'efficacité de la thérapie cognitivo-comportementale délivrée par voie électronique (e-TCC) aux contrôles hebdomadaires en ligne de santé mentale pour le trouble d'anxiété généralisée - un essai randomisé contrôlé

BACKGROUND

Generalized anxiety disorder (GAD) is a prevalent anxiety disorder characterized by uncontrollable worry, trouble sleeping, muscle tension, and irritability. Cognitive behavioural therapy (CBT) is one of the first-line treatments that has demonstrated high efficacy in reducing symptoms of anxiety. Electronically delivered CBT (e-CBT) has been a promising adaptation of in-person treatment, showing comparable efficacy with increased accessibility and scalability. Finding further scalable interventions that can offer benefits to patients requiring less intensive interventions can allow for better resource allocation. Some studies have indicated that weekly check-ins can also lead to improvements in GAD symptoms. However, there is a lack of research exploring the potential benefits of online check-ins for patients with GAD.

OBJECTIVE

This study aims to investigate the effects of weekly online asynchronous check-ins on patients diagnosed with GAD and compare it with a group receiving e-CBT.

METHODS

Participants (n e-CBT = 45; n check-in = 51) with GAD were randomized into either an e-CBT or a mental health check-in program for 12 weeks. Participants in the e-CBT program completed pre-designed modules and homework assignments through a secure online delivery platform where they received personalized feedback from a trained care provider. Participants in the mental health check-in condition had weekly asynchronous messaging communication with a care provider where they were asked structured questions with a different weekly theme to encourage conversation.

RESULTS

Both treatments demonstrated statistically significant reductions in GAD-7-item questionnaire (GAD-7) scores over time, but when comparing the groups there was no significant difference between the treatments. The number of participants who dropped out and baseline scores on all questionnaires were comparable for both groups.

CONCLUSIONS

The findings support the effectiveness of e-CBT and mental health check-ins for the treatment of GAD.

PLAIN LANGUAGE SUMMARY TITLE

Comparing the Effectiveness of Electronically Delivered Therapy (e-CBT) to Weekly Online Mental Health Check-ins for Generalized Anxiety Disorder-A Randomized Controlled Trial.

Efficacy of eHealth Versus In-Person Cognitive Behavioral Therapy for Insomnia: Systematic Review and Meta-Analysis of Equivalence

BACKGROUND

Insomnia is a prevalent condition with significant health, societal, and economic impacts. Cognitive behavioral therapy for insomnia (CBTI) is recommended as the first-line treatment. With limited accessibility to in-person-delivered CBTI (ipCBTI), electronically delivered eHealth CBTI (eCBTI), ranging from telephone- and videoconference-delivered interventions to fully automated web-based programs and mobile apps, has emerged as an alternative. However, the relative efficacy of eCBTI compared to ipCBTI has not been conclusively determined.

OBJECTIVE

This study aims to test the comparability of eCBTI and ipCBTI through a systematic review and meta-analysis of equivalence based on randomized controlled trials directly comparing the 2 delivery formats.

METHODS

A comprehensive search across multiple databases was conducted, leading to the identification and analysis of 15 unique randomized head-to-head comparisons of ipCBTI and eCBTI. Data on sleep and nonsleep outcomes were extracted and subjected to both conventional meta-analytical methods and equivalence testing based on predetermined equivalence margins derived from previously suggested minimal important differences. Supplementary Bayesian analyses were conducted to determine the strength of the available evidence.

RESULTS

The meta-analysis included 15 studies with a total of 1083 participants. Conventional comparisons generally favored ipCBTI. However, the effect sizes were small, and the 2 delivery formats were statistically significantly equivalent (P<.05) for most sleep and nonsleep outcomes. Additional within-group analyses showed that both formats led to statistically significant improvements (P<.05) in insomnia severity; sleep quality; and secondary outcomes such as fatigue, anxiety, and depression. Heterogeneity analyses highlighted the role of treatment duration and dropout rates as potential moderators of the differences in treatment efficacy.

CONCLUSIONS

eCBTI and ipCBTI were found to be statistically significantly equivalent for treating insomnia for most examined outcomes, indicating eCBTI as a clinically relevant alternative to ipCBTI. This supports the expansion of eCBTI as a viable option to increase accessibility to effective insomnia treatment. Nonetheless, further research is needed to address the limitations noted, including the high risk of bias in some studies and the potential impact of treatment duration and dropout rates on efficacy.

TRIAL REGISTRATION

PROSPERO CRD42023390811; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=390811.

Assessing the Short-Term Efficacy of Digital Cognitive Behavioral Therapy for Insomnia With Different Types of Coaching: Randomized Controlled Comparative Trial

BACKGROUND

Digital cognitive behavioral therapy for insomnia (dCBTi) is an effective intervention for treating insomnia. The findings regarding its efficacy compared to face-to-face cognitive behavioral therapy for insomnia are inconclusive but suggest that dCBTi might be inferior. The lack of human support and low treatment adherence are believed to be barriers to dCBTi achieving its optimal efficacy. However, there has yet to be a direct comparative trial of dCBTi with different types of coaching support.

OBJECTIVE

This study examines whether adding chatbot-based and human coaching would improve the treatment efficacy of, and adherence to, dCBTi.

METHODS

Overall, 129 participants (n=98, 76% women; age: mean 34.09, SD 12.05 y) whose scores on the Insomnia Severity Index [ISI] were greater than 9 were recruited. A randomized controlled comparative trial with 5 arms was conducted: dCBTi with chatbot-based coaching and therapist support (dCBTi-therapist), dCBTi with chatbot-based coaching and research assistant support, dCBTi with chatbot-based coaching only, dCBTi without any coaching, and digital sleep hygiene and self-monitoring control. Participants were blinded to the condition assignment and study hypotheses, and the outcomes were self-assessed using questionnaires administered on the web. The outcomes included measures of insomnia (the ISI and the Sleep Condition Indicator), mood disturbances, fatigue, daytime sleepiness, quality of life, dysfunctional beliefs about sleep, and sleep-related safety behaviors administered at baseline, after treatment, and at 4-week follow-up. Treatment adherence was measured by the completion of video sessions and sleep diaries. An intention-to-treat analysis was conducted.

RESULTS

Significant condition-by-time interaction effects showed that dCBTi recipients, regardless of having any coaching, had greater improvements in insomnia measured by the Sleep Condition Indicator (P=.003; d=0.45) but not the ISI (P=.86; d=-0.28), depressive symptoms (P<.001; d=-0.62), anxiety (P=.01; d=-0.40), fatigue (P=.02; d=-0.35), dysfunctional beliefs about sleep (P<.001; d=-0.53), and safety behaviors related to sleep (P=.001; d=-0.50) than those who received digital sleep hygiene and self-monitoring control. The addition of chatbot-based coaching and human support did not improve treatment efficacy. However, adding human support promoted greater reductions in fatigue (P=.03; d=-0.33) and sleep-related safety behaviors (P=.05; d=-0.30) than dCBTi with chatbot-based coaching only at 4-week follow-up. dCBTi-therapist had the highest video and diary completion rates compared to other conditions (video: 16/25, 60% in dCBTi-therapist vs <3/21, <25% in dCBTi without any coaching), indicating greater treatment adherence.

CONCLUSIONS

Our findings support the efficacy of dCBTi in treating insomnia, reducing thoughts and behaviors that perpetuate insomnia, reducing mood disturbances and fatigue, and improving quality of life. Adding chatbot-based coaching and human support did not significantly improve the efficacy of dCBTi after treatment. However, adding human support had incremental benefits on reducing fatigue and behaviors that could perpetuate insomnia, and hence may improve long-term efficacy.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05136638; https://www.clinicaltrials.gov/study/NCT05136638.

Patient perceptions of digital and therapist-led CBT for insomnia: A qualitative study

OBJECTIVES

Technology has the potential to increase access to evidence-based insomnia treatment. Patient preferences/perceptions of automated digital cognitive behavior therapy for insomnia (CBTI) and telehealth-delivered CBTI remain largely unexplored among middle-aged and older adults. Using a qualitative approach, the current study describes patients' reasons for participating in the clinical trial, preferences for digital CBTI (dCBTI) versus therapist-led CBTI, patient attitudes toward dCBTI, and patient attitudes toward telehealth-delivered therapist-led CBTI.

METHOD

Middle-aged and older adults (N = 80) completed a semi-structured interview before CBTI exposure. Qualitative responses were coded, and themes were inductively extracted.

RESULTS

Most (62.5%) of the participants expressed a preference for therapist-led CBTI to dCBTI. Convenience was the most commonly reported advantage of dCBTI (n = 55) and telehealth-delivered CBTI (n = 65). Decreasing transit time and pandemic-related health concerns were identified as advantages to dCBTI and telehealth-delivered CBTI. Lack of human connection and limited personalization were perceived as disadvantages of dCBTI. Only three participants reported technological barriers to dCBTI and telehealth-delivered CBTI.

CONCLUSION

Findings suggest that, despite an overall preference for therapist-led treatment, most middle-aged and older adults are open to dCBTI. As both dCBTI and telehealth-delivered CBTI are perceived as convenient, these modalities offer the potential to increase access to insomnia care.

Investigating the subjective and objective efficacy of a cognitive behavioural therapy for insomnia (CBT-I)-based smartphone app on sleep: A randomised controlled trial

Due to insufficient treatment options for insomnia, effective solutions are urgently needed. We evaluated the effects of a CBT-I-based app combining sleep training with subjective and objective sleep monitoring on (i) sleep and (ii) subjective-objective sleep discrepancies (SOSD). Fifty-seven volunteers (20-76 years; MAge = 45.67 ± 16.38; 39 female) suffering from sleep problems were randomly assigned to an experimental group (EG, n = 28) or a waitlist control group (CG, n = 29). During the 6-week app phase, the EG used the CBT-I-based programme and a heart rate sensor for daily sleep monitoring and -feedback, while the CG used sleep monitoring only. Sleep was measured (i) subjectively via questionnaires (Insomnia Severity Index, ISI; Pittsburgh Sleep Quality Index, PSQI), (ii) objectively via ambulatory polysomnography (PSG), and (iii) continuously via heart-rate sensor and sleep diaries. Data revealed interactions for ISI (p = 0.003, ƞ2 part = 0.11) and PSQI (p = 0.050, ƞ2 part = 0.05), indicating training-specific improvements in EG, yet not in CG. While PSG-derived outcomes appear to be less training-specific, a tendential reduction in wake after sleep onset (WASO) was found in EG (p = 0.061, d = 0.55). Regarding changes in SOSD, the results indicate improvements during the app phase (EG) for sleep efficiency, sleep onset latency, and WASO (p ≤ 0.022, d ≥ 0.46); for total sleep time both groups showed a SOSD reduction. The findings indicate beneficial effects of a novel smartphone app on sleep and SOSD. More scientific evaluation of such digital programmes is needed to ultimately help in reducing the gap in non-pharmacological insomnia treatment.

Factors influencing the effectiveness of digital cognitive behavioural therapy for chronic insomnia in clinical practice

Digital cognitive behavioural therapy for chronic insomnia (D-CBT-I) has been shown to be as efficacious as traditional CBT-I. However, not all patients achieve insomnia remission after treatment. We explored the factors influencing the effectiveness of D-CBT-I in a clinical practice. A total of 414 Asian chronic insomniacs were studied during a 6 week D-CBT-I intervention. All patients were assessed at baseline and posttreatment and were determined to be remitters or non-remitters, responders or non-responders by posttreatment criteria; Insomnia Severity Index (ISI <8) or ISI reduction ≥8, to examine whether remission and response status were associated with patient baseline characteristics. The average baseline ISI score in all subjects was 16.29 points. At posttreatment, 192 (46.4%) patients achieved ISI remission and 218 (52.7%) patients demonstrated an ISI response. An increased baseline early morning awakening time and ISI score were independently associated with a lower odds for remission (OR, 0.995 and 0.991, respectively). Increased baseline Patients Health Questionnaire-9 score was independently associated with higher odds for response (OR, 1.114). Our results suggest that D-CBT-I can be recommended as the first-line treatment for chronic insomnia, particularly in insomniacs with milder insomnia symptoms and more severe depressive symptoms. Meanwhile, the effectiveness of D-CBT-I was adversely affected by longer early morning awakening time and higher insomnia severity at pretreatment, which may be improved by more intense intervention and greater therapeutic support or by traditional CBT-I.

Efficacy of Mobile App-Based Cognitive Behavioral Therapy for Insomnia: Multicenter, Single-Blind Randomized Clinical Trial

BACKGROUND

Cognitive behavioral therapy for insomnia (CBTi) is the first-line therapy for chronic insomnia. Mobile app-based CBTi (MCBTi) can enhance the accessibility of CBTi treatment; however, few studies have evaluated the effectiveness of MCBTi using a multicenter, randomized controlled trial design.

OBJECTIVE

We aimed to assess the efficacy of Somzz, an MCBTi that provides real-time and tailored feedback to users, through comparison with an active comparator app.

METHODS

In our multicenter, single-blind randomized controlled trial study, participants were recruited from 3 university hospitals and randomized into a Somzz group and a sleep hygiene education (SHE) group at a 1:1 ratio. The intervention included 6 sessions for 6 weeks, with follow-up visits over a 4-month period. The Somzz group received audiovisual sleep education, guidance on relaxation therapy, and real-time feedback on sleep behavior. The primary outcome was the Insomnia Severity Index score, and secondary outcomes included sleep diary measures and mental health self-reports. We analyzed the outcomes based on the intention-to-treat principle.

RESULTS

A total of 98 participants were randomized into the Somzz (n=49, 50%) and SHE (n=49, 50%) groups. Insomnia Severity Index scores for the Somzz group were significantly lower at the postintervention time point (9.0 vs 12.8; t95=3.85; F2,95=22.76; ηp2=0.13; P<.001) and at the 3-month follow-up visit (11.3 vs 14.7; t68=2.61; F2,68=5.85; ηp2=0.03; P=.01) compared to those of the SHE group. The Somzz group maintained their treatment effect at the postintervention time point and follow-ups, with a moderate to large effect size (Cohen d=-0.62 to -1.35; P<.01 in all cases). Furthermore, the Somzz group showed better sleep efficiency (t95=-3.32; F2,91=69.87; ηp2=0.41; P=.001), wake after sleep onset (t95=2.55; F2,91=51.81; ηp2=0.36; P=.01), satisfaction (t95=-2.05; F2,91=26.63; ηp2=0.20; P=.04) related to sleep, and mental health outcomes, including depression (t95=2.11; F2,94=29.64; ηp2=0.21; P=.04) and quality of life (t95=-3.13; F2,94=54.20; ηp2=0.33; P=.002), compared to the SHE group after the intervention. The attrition rate in the Somzz group was 12% (6/49).

CONCLUSIONS

Somzz outperformed SHE in improving insomnia, mental health, and quality of life. The MCBTi can be a highly accessible, time-efficient, and effective treatment option for chronic insomnia, with high compliance.

TRIAL REGISTRATION

Clinical Research Information Service (CRiS) KCT0007292; https://cris.nih.go.kr/cris/search/detailSearch.do?seq=22214&search_page=L.

Predictors of COVID-Related stress in a community sample in Turkey: a cross-sectional study

The distinctive mental health features associated with COVID-19 have gained importance as the psychological effects of the pandemic on the community become more visible. This study aims to assess the COVID-related stress status and associated factors in the community sample of Turkey. The sample of this cross-sectional study is composed of 2.065 people between the ages of 18-90. Data were collected through an online survey prepared by Google.docs between October-December, 2020. Mild to moderate stress was found in the community with the most common symptoms of the fear of contamination and danger. Some variables, such as being female and the severity of COVID-19 illness, were associated with higher COVID-related stress. Vulnerable groups associated with high stress should be monitored during the pandemic. The findings of this study will guide the practices of professionals working in the field of public health, healthcare, or mental health in possible future pandemics.

Digital cognitive-behavioural therapy application compared with zolpidem for the treatment of insomnia: protocol for an exploratory randomised controlled trial

INTRODUCTION

Insomnia is a common health problem and cognitive-behavioural therapy (CBT) is recommended as a treatment. As there is a critical shortage of CBT-trained therapists, we developed a digital CBT application (IIIP MED: Sleepy Med) as Software as a Medical Device for insomnia. This paper describes the study protocol for an exploratory randomised controlled trial (RCT) to evaluate effectiveness and safety of our developed digital CBT (dCBT) for 5 weeks compared with zolpidem tartrate for patients with insomnia disorder.

METHODS AND ANALYSIS

This proposed multicentre exploratory RCT will be conducted at the outpatient clinic of Chiba University Hospital, Akita University Hospital and Yoyogi Sleep Disorder Center, Japan. The study population comprises two parallel groups (dCBT and zolpidem) consisting of 15 participants each (n=30 in total) diagnosed with insomnia disorder who remain symptomatic at 4 weeks after sleep hygiene education. We will evaluate the effectiveness at baseline, week 5 (post-intervention) and week 10 (follow-up). The primary outcome will be the change of subjective sleep onset latency at week 5 from baseline. Secondary outcomes include sleep-related outcomes, such as objective sleep onset latency measured by mobile electroencephalography, functional improvement during the daytime and quality of life.

ETHICS AND DISSEMINATION

Ethics approval was granted by the Institutional Review Board of Chiba University Hospital (K2023001). All participants will be required to provide written informed consent. Results will be published in international journals.

TRIAL REGISTRATION NUMBER

jRCT2032230353.

Sleep Difficulties in Swiss Elite Athletes

For athletes, sleep is essential for recovery and performance. Yet, up to two-thirds of athletes report poor sleep quality. Comprehensive data across all sports disciplines on the underlying causes of sleep problems are missing. We reanalyzed a data set of N = 1004 Swiss top athletes across an extensive array of 88 sports to gain knowledge on the specific deficits in sleep health with respect to gender, sport classes, sport-related factors, and well-being. We found that 18% of athletes were affected by at least two out of five high-risk sleep factors: 9% of athletes slept less than 6 h per day, 30% were dissatisfied with their sleep, 17% showed problems falling asleep within 30 min, 18% of athletes reported difficulty maintaining sleep more than three times a week, and 6% of athletes used sleeping pills more than once a week. We found sleep health strongly linked to overall well-being and mental health (22% showed at least moderate symptoms of either depression or anxiety). Therefore, screening and treating sleep disorders might effectively improve mental health and general well-being as well as performance among athletes around the globe.

Investigating the efficacy of digital cognitive behavioural therapy in comparison to a sleep-monitoring application via integrated diary and actigraphy: A randomised-controlled trial

Dissemination of digital cognitive behavioural therapy is a promising approach for treating insomnia in the broad population. Current evidence supports the effectiveness of the digital format, but clinical findings are often limited by the choice of control group and lack of in-depth therapeutic measures. This study was designed to investigate the specific effects of digital cognitive behavioural therapy in comparison to a self-monitoring application. Participants meeting criteria for insomnia were randomly allocated (1:1) to 8 weeks of digital cognitive behavioural therapy or 8 weeks of digital sleep monitoring (control application). The primary outcome, insomnia severity, was assessed at baseline, 8- and 16-weeks post-randomisation. Secondary outcomes included the assessment of sleep via application-integrated sleep diaries and actigraphy. Linear-mixed models were fitted to assess between-group differences. Fifty-six participants (48 females, mean age: M = 45.55 ± 13.70 years) were randomised to either digital cognitive behavioural therapy (n = 29) or digital sleep monitoring (n = 27). At 8- and 16-weeks post-randomisation, large treatment effects (d = 0.87-1.08) indicated robust reductions (-3.70 and -2.97, respectively; p ≤ 0.003) in insomnia severity in the digital cognitive behavioural therapy arm, relative to digital sleep monitoring. Treatment effects in favour of digital cognitive behavioural therapy were also found for self-reported and actigraphy-derived sleep continuity variables, indicating that sleep improved throughout the 8-week intervention period. Our study reinforces the role of digital cognitive behavioural therapy in achieving clinical improvements for patients with insomnia, affirming previous findings and supporting the specific effects of cognitive behavioural therapy.

An online behavioral self-help intervention rapidly improves acute insomnia severity and subjective mood during the coronavirus disease-2019 pandemic: a stratified randomized controlled trial

STUDY OBJECTIVES

Stressful life events, such as the coronavirus disease-2019 (COVID-19) pandemic, can cause acute insomnia. Cognitive behavioral therapy for acute insomnia is effective but is both time and resource-intensive. This study investigated if an online behavioral self-help intervention, which has been successfully used alongside sleep restriction for acute insomnia, reduced insomnia severity and improved mood in acute insomnia. This study also assessed good sleepers to explore if a "sleep vaccination" approach was feasible.

METHODS

In this online stratified randomized controlled trial, 344 participants (103 good sleepers and 241 participants with DSM-5 acute insomnia) were randomized to receive the intervention/no intervention (good sleepers) or intervention/intervention after 28 days (poor sleepers). Insomnia severity was assessed using the ISI (primary outcome), and anxiety and depression using the GAD-7/PHQ-9 (secondary outcomes) at baseline, 1 week, 1 month, and 3-month follow-up.

RESULTS

In people with acute insomnia, relative to baseline, there were significant reductions in ISI (dz = 1.17), GAD-7 (dz = 0.70), and PHQ-9 (dz = 0.60) scores at 1-week follow-up. ISI, GAD-7, and PHQ-9 scores were significantly lower at all follow-up time points, relative to baseline. Subjective diary-derived sleep continuity was unaffected. No beneficial effects on sleep or mood were observed in good sleepers.

CONCLUSIONS

An online behavioral self-help intervention rapidly reduces acute insomnia severity (within 1 week), and benefits mood in people with acute insomnia. These beneficial effects are maintained up to 3 months later. Although the use of the intervention is feasible in good sleepers, their subjective sleep was unaffected.

CLINICAL TRIAL REGISTRATION

Testing an early online intervention for the treatment of disturbed sleep during the COVID-19 pandemic; prospectively registered at ISRCTN on 8 April 2020 (identifier: ISRCTN43900695).

Global prevalence of anxiety and depression among medical students during the COVID-19 pandemic: a systematic review and meta-analysis

PURPOSE

As future physicians, medical students have experienced tremendous pressure during the ongoing COVID-19 pandemic, which is associated with a high risk of depression and anxiety. We aimed to investigate an overview of the prevalence of anxiety and depression among medical students in various countries during the global COVID-19 pandemic, and discuss associated stressors.

METHODS

We systematically searched CINAHL, EMBASE, MEDLINE, PubMed, and Web of Science for relevant articles from December 1, 2019 to March 15, 2023. We performed meta-analysis using a random-effects model with REML method to calculate the pooled prevalence of anxiety and depression. Begg's and Egger's tests were used to identify the potential risk of publication bias. Meta-regression was used to explore potential sources of heterogeneity.

RESULTS

We identified 130 studies reporting anxiety and depression among 132,068 medical students during the COVID-19 pandemic. Eight screening tools were identified for anxiety and six for depression. The pooled prevalence of mental health outcomes for anxiety and depression was 45% (95% confidence interval [CI], 40%-49%) and 48% (95% CI, 43%-52%), respectively. The pooled prevalence of mental health outcomes for moderate and severe anxiety and moderate and severe depression was 28% (95% CI, 24%-32%) and 30% (95% CI, 26%-35%), respectively. There was high heterogeneity between studies, with I2 ranging from 99.58%-99.66%. Continent and survey date were included in the meta-regression model. The results of meta-regression revealed that medical students in Asia had a lower prevalence of anxiety, and depression than those in other regions. The survey date (from February to June, 2020) showed a significantly positive correlation with the prevalence of anxiety and depression.

CONCLUSIONS

We demonstrated the global prevalence of anxiety and depression among medical students during the COVID-19 pandemic. The data highlight that medical students worldwide are at high risk of experiencing anxiety and depression. The reported stressors can be categorized into personal, academic, environmental and cultural, and pandemic factors. Schools and institutions should ensure optimal alternative learning environments for uninterrupted provision of medical education. The appropriate authorities should prioritize the provision of adequate protection for medical students and establish policies to promote new methods of training and education during a disaster, such as via distance learning.

Association between work environment changes due to the COVID-19 pandemic and post-traumatic stress disorder in Japanese workers during the emergency declaration

Aim

This study investigated the association between COVID-19 pandemic-related work environment changes and suspected post-traumatic stress disorder (PTSD) in Japanese workers.

Methods

A web survey of 1104 workers was conducted in Japan between February 24 and March 2, 2021. The Japanese version of the Impact of Event Scale-Revised and questions regarding work environments and COVID-19 pandemic-related lifestyle changes were used.

Results

PTSD was suspected in 19.7% of respondents and was significantly higher in men (22.2%) than in women (17.2%). Being older and having an independent business were associated with decreased suspected PTSD risk. Longer online work hours, decreased sleep duration, and alcoholism were associated with increased suspected PTSD risk. When stratified by sex, long online work hours and fewer years of service were associated with increased suspected PTSD risk in men. An association between alcoholism and suspected PTSD was also observed in men. Younger age and decreased sleep duration were significantly associated with suspected PTSD in women.

Conclusion

Younger men with shorter work service duration were particularly vulnerable to pandemic-related PTSD, emphasizing the risks associated with long online work hours and alcoholism in men. Decreased sleep duration was a PTSD predictor in both sexes, suggesting its importance in PTSD prevention strategies for workers.

The prevalence, determinants, and consequences of post-COVID in healthcare workers: A cross-sectional survey

Data on post-coronavirus disease (COVID) in healthcare workers (HCWs) are scarce. We aimed to assess prevalence, determinants, and consequences of post-COVID in HCWs. In fall 2022, we performed a cross-sectional survey in a tertiary care hospital with a web-based questionnaire sent to HCWs. Post-COVID was defined as persistent/new symptoms 3 months after acute COVID. Propensity score weighting was performed to assess the impact of post-COVID on return-to-work. 1062 HCWs completed the questionnaire, 713 (68%) reported at least one COVID, and 109 (10%) met the definition for post-COVID, with workplace contamination reported in 51 (47%). On multivariable analysis, risk factors for post-COVID were female gender (p = 0.047), ≥50 years (p = 0.007), immunosuppression (p = 0.004), ≥2 COVID episodes (p = 0.003), and ≥5 symptoms during acute COVID (p = 0.005). Initial sick leave was prescribed for 94 HCWs (86% post-COVID), for a median duration of 7 [7-9] days, and extended for 23. On return-to-work, 91 (84%) had residual symptoms, primarily asthenia/fatigue (72%) and cognitive impairment (25%). Cognitive impairment at return-to-work was associated with post-COVID. Ten HCWs (9%) received a medical diagnosis of post-COVID, 8 consulted the occupational physician, and four required work adaptation. Post-COVID affected 10% of HCWs. Long-term consequences included repeated sick leaves and residual symptoms on return-to-work.

Practical and psychological challenges faced by Wuhan graduates after COVID-19 was controlled

Introduction: This study seeks to understand the reality and psychological difficulties faced by university graduates in Wuhan after the COVID-19 epidemic was controlled. Methods: A total of 6,417 graduate students were surveyed through an online questionnaire from late May to early June 2020. The questionnaire asked questions on depression, anxiety, insomnia, and suicidal behavior. In addition, self-administered epidemic-related questionnaires consisting of eight items were collected from university graduates. Results: Participants' positive detection rates for depression, anxiety, insomnia, and suicidal behavior are 13.4%, 8.3%, 4.4%, and 12.1%, respectively. The three biggest challenges faced by graduates are future development, economic difficulties, and employment problems. Conclusion: The detectable rate of depression, anxiety, and insomnia is low, and the detectable rate of suicide symptoms should be given more attention. The biggest problem of this group is their future development, and what they want to solve the most is the economic difficulty.

Mi Sleep Coach Mobile App to Address Insomnia Symptoms Among Cancer Survivors: Single-Arm Feasibility Study

BACKGROUND

Rates of sleep disturbance among survivors of cancer are more than 3 times higher than the general population. Causes of sleep disturbance among survivors are many and multifaceted, including anxiety and fear related to cancer diagnosis and treatments. Cognitive behavioral therapy for insomnia (CBT-I) is considered a first-line treatment for insomnia; However, a lack of access to trained professionals and limited insurance coverage for CBT-I services has limited patient access to these effective treatments. Evidence supports digital delivery of CBT-I (dCBT-I), but there is only limited evidence to support its use among survivors of cancer. Broad adoption of smartphone technology provides a new channel to deliver dCBT-I, but no prior studies have evaluated mobile dCBT-I interventions for survivors. To address the need for accessible and efficacious CBT-I for survivors of cancer, the Mi Sleep Coach program was developed to adapt CBT-I for delivery to survivors of cancer as a self-directed mobile health app.

OBJECTIVE

This single-arm feasibility study assessed the adherence, attrition, usefulness, and satisfaction of the Mi Sleep Coach app for insomnia.

METHODS

A 7-week, single-arm study was conducted, enrolling adult survivors of breast, prostate, or colon cancer reporting sleep disturbances.

RESULTS

In total, 30 participants were enrolled, with 100% completing the study and providing data through week 7. Further, 9 out of 10 app features were found to be useful by 80% (n=24) to 93% (n=28) of the 30 participants. Furthermore, 27 (90%) participants were satisfied with the Mi Sleep Coach app and 28 (93%) would recommend the use of the Mi Sleep Coach app for those with insomnia. The Insomnia Severity Index showed a decrease from baseline (18.5, SD 4.6) to week 7 (10.4, SD 4.2) of 8.1 (P<.001; Cohen d=1.5). At baseline, 25 (83%) participants scored in the moderate (n=19; 15-21) or severe (n=6; 22-28) insomnia range. At week 7, a total of 4 (13%) patients scored in the moderate (n=4) or severe (n=0) range. The number of patients taking prescription sleep medications decreased from 7 (23%) at baseline to 1 (3%; P<.001) at week 7. The number of patients taking over-the-counter sleep medications decreased from 14 (47%) at baseline to 9 (30%; P=.03) at week 7.

CONCLUSIONS

The Mi Sleep Coach app demonstrated high levels of program adherence and user satisfaction and had large effects on the severity of insomnia among survivors of cancer. The Mi Sleep Coach app is a promising intervention for cancer-related insomnia, and further clinical trials are warranted. If proven to significantly decrease insomnia in survivors of cancer in future randomized controlled clinical trials, this intervention would provide more survivors of cancer with easy access to evidence-based CBT-I treatment.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04827459; https://clinicaltrials.gov/study/NCT04827459.

Network analysis of the comorbidity between post-traumatic stress, depression and anxiety symptoms among frontline healthcare workers during the COVID-19 pandemic

Background

Coronavirus disease 2019 pandemic pointed out significant mental symptoms of frontline healthcare workers (HCWs).

Objective

We aimed to estimate the prevalence and comorbidity of post-traumatic stress symptoms (PTSS), depression and anxiety symptoms in HCWs from Fangcang shelter hospitals during the pandemic.

Design

Demographic information, post-traumatic stress disorder checklist for DSM-5 (PCL-5), Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder Questionnaire (GAD-7) were obtained online based on stratified random sampling design during April 2022, with 284 eligible responses.

Method

Hierarchical regression analyses were applied to investigate independent variables associated with psychological status outcomes (PHQ-9, GAD-7 and PCL-5), and the network analyses were applied to explore the comorbidity using all items of PCL-5, PHQ-9 and GAD-7.

Results

(1) 10.56%, 13.03% and 8.10% of HCWs reported PTSS, depression and anxiety symptoms. Fifty-three (18.66%) HCWs experienced at least one mental health disorder, among which 26.42-37.74% HCWs had comorbidity of two or three mental disorders; (2) several influence factors of mental health were identified, including medical professions, working hours, contacted patients (p < 0.05); (3) prominent bridge symptoms between PTSS and depression were sleep problems, suicide ideation, concentration difficulties and recklessness. Comorbidity between PTSS and anxiety was thought to mainly stem from negative affect, such as afraid, anxious, annoyed and worrying. Depressed mood and worry might be good targets during treatment of comorbidity of depression and anxiety.

Conclusion

Our data suggest mild level of PTSS, depression and anxiety symptoms among HCWs during the pandemic and might give novel insights into assessment and intervention of comorbidity.

Effects of blast exposure on anxiety and symptoms of post-traumatic stress disorder (PTSD) among displaced Ukrainian populations

Generalized anxiety and symptoms of post-traumatic stress disorder (PTSD) are common among individuals forcibly displaced during war and conflict. Blast exposure may be one important contributor of such symptoms. The aims of this study were to provide data on blast-related experiences of internally displaced persons (IDPs) and refugees following Russia's invasion of Ukraine, and to assess the influence of blast exposure on generalized anxiety, and PTSD flashbacks and nightmares. An online health needs survey was distributed to Ukrainian IDPs and refugees between April and July 2022 using Facebook Ads Manager. Participants reported whether they experienced blast exposure since the beginning of the invasion, and whether they took medication for a mental health condition before the war started. Finally, they completed measures of generalized anxiety (GAD-2), and PTSD flashbacks and nightmares. Analyses included 3253 IDPs and 5073 refugees (N = 8326). Results revealed that 67.6% of total participants- 79.9% of IDPs and 61.7% of refugees-reported blast exposure since Russia's invasion. Further, 69.1% (95% CI: 68.05, 70.15) of total participants met the cut-off for generalized anxiety in which further diagnostic evaluation was warranted. Compared to refugees, IDPs reported higher generalized anxiety and greater frequency of PTSD symptoms, specifically flashbacks and nightmares. Further analyses revealed that the impact of blast exposure on flashback frequency was stronger among IDPs compared to refugees (β = 0.51; t(8322) = 11.88, p < .0001, 95% CI: 0.43, 0.60) and among participants with pre-existing mental health conditions compared to those without (β = 0.18; t(8157) = 2.50, p = .013, 95% CI: 0.04, 0.33). Mental health and psychosocial support must be prioritised within humanitarian relief for both IDPs and refugees and especially among people with underlying mental health conditions.

Interpersonal factors in internet-based cognitive behavioral therapy for depression: Attachment style and alliance with the program and with the therapist

Objective This open-trial study examined effects of a culturally-adapted Hebrew version of guided internet-based cognitive behavioural therapy (ICBT) for depression. We examined therapeutic alliance with the therapist and with the programme (content) as potential predictors of outcomes. Furthermore, we examined whether anxious and avoidant attachment styles improved, although relationships were not the focus of treatment. Method: We examined alliance with therapist and alliance with programme and their time-lagged (1 week), longitudinal relationship with depression outcomes, and change in anxious and avoidant attachment during treatment. Results: Depression and insomnia improved significantly (Cohen's d: depression = 1.34, insomnia = 0.86), though dropout was relatively high (49%). Alliance with programme and with the therapist predicted adherence and dropout, whereas only alliance with therapist predicted symptom improvement. Avoidant attachment decreased over treatment whereas anxious attachment did not. Conclusion: A culturally-adapted version of ICBT for depression showed that alliance with therapist and alliance with programme both can play an important role in its effectiveness: alliance with programme and the therapist drive adherence and dropout and alliance with therapist is related to symptom improvement. Although the focus of treatment is not interpersonal, avoidant attachment style can improve following ICBT.

Anxiety and watching the war in Ukraine

On 24 February 2022, Russia attacked Ukraine. Millions of people tuned into social media to watch the war. Media exposure to disasters and large-scale violence can precipitate anxiety resulting in intrusive thoughts. This research investigates factors related to anxiety while watching the war. Since the war began during the ongoing coronavirus pandemic, threat from COVID-19 is seen as a predictor of anxiety when watching the war. A theoretical model is put forward where the outcome was anxiety when watching the war, and predictors were self-reported interference of watching the war with one's studies or work, gender, worry about the war, self-efficacy and coronavirus threat. Data were collected online with independent samples of university students from two European countries close to Ukraine, Germany (n = 348) and Finland (n = 228), who filled out an anonymous questionnaire. Path analysis was used to analyse the data. Findings showed that the model was an acceptable fit to the data in each sample, and standardised regression coefficients indicated that anxiety, when watching the war, increased with interference, war worry and coronavirus threat, and decreased with self-efficacy. Women reported more anxiety when watching the war than men. Implications of the results are discussed.

Evaluation and management of insomnia in the clinical practice in Italy: a 2023 update from the Insomnia Expert Consensus Group

BACKGROUND

Insomnia is the most reported sleep disorder in industrialized countries, affecting, in the chronic form, around 10% of the European population. In Italy, such a percentage seems to be even higher. Although insomnia can be an independent disorder, it is frequently described as comorbid condition and may precipitate, exacerbate, or prolong a broad range of physical and mental disorders. Evaluating and targeting insomnia in the Italian clinical practice should be a priority.

METHODS

The present expert opinions and recommendations represent an update from 2020 and insights from Insomnia Expert Consensus Group, based on systematic reviews according to PRISMA on available options in Italy from January 2020 to March 2023.

RESULTS

We evaluated 28 papers among international guidelines, expert opinions, systematic reviews, and meta-analysis produced during the last 26 months.

CONCLUSIONS

Our findings suggest that symptoms of insomnia must be assessed in the Italian clinical practice by evaluating nocturnal and daytime symptoms, comorbid conditions, and lifestyle. Cognitive behavioral therapy for insomnia should be the first option according to availability. The choice of the drug should be based on different factors including type of insomnia, age, comorbidities, and potential side effects. If the choice would be a Z-drug or a short-acting benzodiazepine (in subjects < 65 years old), the use should be in the short term (≤ 4 weeks). Indeed, eszopiclone, as a new option in Italy, may present a different profile and may be used for up to 6 months, also in the elderly. If the choice is melatonin, it should be used melatonin 2 mg prolonged release in adults ≥ 55 years for up to 13 weeks. A new dual orexin antagonist, daridorexant, is available in Italy; it has been shown to be effective in adults and elderly and it can be used for at least 3 months and up to 1 year.

The prevalence and risk of depression in aged COVID-19 survivors: a bibliometric and meta-analysis

To explore depression prevalence and related risk factors among elderly coronavirus disease 2019 (COVID-19) survivors, while also evaluating research characteristics. We searched Web of Science, PubMed, Embase, Scopus, CNKI and Wanfang Data for studies that reported COVID-19 and depression in older adults. 'Bibliometrix' facilitated bibliometric analysis and information visualisation. Random-effects models merged depression prevalence and relevant risks. Publication bias and its impact were examined using funnel plots, Begg's test, Egger's linear regression, and trim-and-fill method. Meta-regression, bubble plots, and Baujat plots probed heterogeneity. Sensitivity analysis applied the leave-one-out method. The study is registered with PROSPERO, CRD42023417706. The bibliometric analysis comprised 138 studies. Publication frequency peaked in the US, China, and Italy, reflecting significant growth. The meta-analysis comprised 43 studies. Elderly COVID-19 patients exhibit 28.33% depression prevalence (95% CI: 21.24-35.97). Severe cases (43.91%, 95% CI: 32.28-55.88) experienced higher depression prevalence than mild cases (16.45%, 95% CI: 11.92-21.50). Sex had no depression prevalence impact based on bubble plots. Notably, depression risk did not significantly differ between elderly and young COVID-19 patients (odds ratio (OR) = 1.1808, 95% CI: 0.7323-1.9038). However, COVID-19 infection emerged as a substantial elderly depression risk factor (OR = 1.8521, 95% CI: 1.2877-2.6639). Sensitivity analysis confirmed result robustness. Elderly COVID-19 survivors are likely to develop depression symptoms with regional variations. Severe cases are associated with heightened depression prevalence. COVID-19 infection stands out as a key elderly depression risk factor, while sex does not influence prevalence. The field's expansion necessitates sustained collaboration and extensive research endeavours.

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

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

Major depressive disorder: hypothesis, mechanism, prevention and treatment

Worldwide, the incidence of major depressive disorder (MDD) is increasing annually, resulting in greater economic and social burdens. Moreover, the pathological mechanisms of MDD and the mechanisms underlying the effects of pharmacological treatments for MDD are complex and unclear, and additional diagnostic and therapeutic strategies for MDD still are needed. The currently widely accepted theories of MDD pathogenesis include the neurotransmitter and receptor hypothesis, hypothalamic-pituitary-adrenal (HPA) axis hypothesis, cytokine hypothesis, neuroplasticity hypothesis and systemic influence hypothesis, but these hypothesis cannot completely explain the pathological mechanism of MDD. Even it is still hard to adopt only one hypothesis to completely reveal the pathogenesis of MDD, thus in recent years, great progress has been made in elucidating the roles of multiple organ interactions in the pathogenesis MDD and identifying novel therapeutic approaches and multitarget modulatory strategies, further revealing the disease features of MDD. Furthermore, some newly discovered potential pharmacological targets and newly studied antidepressants have attracted widespread attention, some reagents have even been approved for clinical treatment and some novel therapeutic methods such as phototherapy and acupuncture have been discovered to have effective improvement for the depressive symptoms. In this work, we comprehensively summarize the latest research on the pathogenesis and diagnosis of MDD, preventive approaches and therapeutic medicines, as well as the related clinical trials.

Psychological well-being of healthcare workers during COVID-19: Relationship with risk perception and fear in the context of health belief model

This study aimed to evaluate the extent of fear and risk perception related to COVID-19 and their impact on the psychological well-being of healthcare workers. Data were gathered through an online survey, incorporating questions about risk perception utilizing the health belief model, the Fear of COVID-19 Scale, and the General Health Questionnaire-12. A total of 364 HCWs participated in the survey, with 94% of participants identified as being in the high-risk category for mental disorders based on their General Health Questionnaire scores. The assessment of COVID-19-related risk perception within the Health Belief Model demonstrated significant correlations between perceived susceptibility, perceived severity, perceived barriers, and self-efficacy with both the fear scale and General Health Questionnaire scores. Linear regression was employed to identify factors influencing General Health Questionnaire scores, revealing that risk perception, Fear of COVID-19 scores, marital status, and perceived health were significantly associated with General Health Questionnaire scores. These findings underscore the importance of monitoring the psychological well-being of healthcare workers throughout all stages of pandemic preparedness and response.

Cognitive, Behavioral, and Circadian Rhythm Interventions for Insomnia Alter Emotional Brain Responses

BACKGROUND

The highest risk of depression is conveyed by insomnia. This risk can be mitigated by sleep interventions. Understanding brain mechanisms underlying increased emotional stability following insomnia treatment could provide insight relevant to the prevention of depression. Here, we investigated how different sleep interventions alter emotion-related brain activity in people with insomnia at high risk of developing depression.

METHODS

Functional magnetic resonance imaging was used to assess how the amygdala response to emotional stimuli (negative facial expression) in 122 people with insomnia disorder differed from 36 control subjects and how the amygdala response changed after 6 weeks of either no treatment or internet-based circadian rhythm support (CRS), cognitive behavioral therapy for insomnia (CBT-I), or their combination (CBT-I+CRS). Effects on depression, insomnia and anxiety severity were followed up for 1 year.

RESULTS

Only combined treatment (CBT-I+CRS) significantly increased the amygdala response, compared with no treatment, CBT-I, and CRS. Individual differences in the degree of response enhancement were associated with improvement of insomnia symptoms directly after treatment (r = -0.41, p = .021). Moreover, exclusively CBT-I+CRS enhanced responsiveness of the left insula, which occurred in proportion to the reduction in depressive symptom severity (r = -0.37, p = .042).

CONCLUSIONS

This functional magnetic resonance imaging study on insomnia treatment, the largest to date, shows that a combined cognitive, behavioral, and circadian intervention enhances emotional brain responsiveness and might improve resilience in patients with insomnia who are at high risk of developing depression.

Factors affecting depression in adolescents with increased suicidal ideation during the COVID-19 pandemic

This study examines factors influencing depression in adolescents with increased suicidal ideation during the COVID-19 pandemic, based on an ecological model and using data from the Korean Children and Youth Panel Survey, 2018. We selected adolescents whose suicidal ideation increased between the third and fourth years of the pandemic and who identified their parents as their guardians. Factors related to depression in adolescents were analyzed using stepwise multiple regression, while considering personal and environmental characteristics in the family and school domains. All models were significant, and Model 3 explained 26.8% of the variance. In Model 3, personal characteristics-physical activity, sleep quality on school days, and smartphone dependence-affected adolescents' depression. Parents' life satisfaction and a rejective childrearing attitude were also found to be significant factors affecting adolescents' depression, along with school life satisfaction and school type. Our findings can inform evidence-based nursing interventions to reduce depression in adolescents with increased suicidal ideation. They can also contribute to building strategies to promote mental health in schools after the pandemic, forming healthy life habits, and laying the foundation for lifelong health.

Evaluation of Depression and Anxiety in Rheumatoid Arthritis Patients During COVID-19 Pandemic

Background

Rheumatoid arthritis (RA) disease activity, associated comorbidities, and therapy-related side effects impair the physical, social, and emotional dimensions of the patient's health. Presently, the ongoing COVID-19 pandemic has been associated with a broad range of psychosocial disorders in various populations. Patients with RA are especially vulnerable to such effects.

Objectives

Detect the prevalence of recent COVID-19 infection among patients with RA, assess depression and anxiety in these patients and their associated factors during the COVID-19 pandemic and their potential relation to disease activity.

Design and Methods

This is a cross-sectional study conducted on 120 adult Egyptian patients diagnosed with RA during the COVID-19 pandemic. The prevalence of recent COVID-19 infection among the patients was evaluated. The patients underwent psychological assessment using the Hamilton Depression Rating Scale (Ham-D) and the Hamilton Anxiety Rating Scale (Ham-A) to measure levels of depression and anxiety levels. The RA disease activity was assessed using Disease Activity Score (DAS) Das-28-ESR.

Results

This study encompasses a total of 120 RA patients. The prevalence of patients with a recent history of COVID-19 infection was 40.8%. Both groups exhibited significantly elevated mean scores on the Das-28-ESR scale and also scored higher on measures of depression and anxiety. Interestingly, the COVID-19 group exhibited a higher percentage of unmarried individuals, had educational attainment below the university level, and were unemployed. Patients with recent COVID-19 had significantly lower numbers of children, higher disease duration, higher Das-28-ESR scores, and elevated depression and anxiety scores. The statistical analysis revealed that the COVID-19 infection and disease duration were significant predictors of depression and anxiety. The results also exhibited that the depression score was positively correlated with age and DAS scores.

Conclusions

It was observed that patients diagnosed with RA revealed a higher prevalence of COVID-19 infection. The occurrence of depression and anxiety was observed to be widespread among patients diagnosed with RA and, more significantly, prevalent in RA patients who had a recent COVID-19 and had a higher level of disease activity. The occurrence of COVID-19 and disease duration were identified as factors that can anticipate the development of depression and anxiety.

Healthy sleep score changes and incident cardiovascular disease in European prospective community-based cohorts

BACKGROUND AND AIMS

Evidence on the link between sleep patterns and cardiovascular diseases (CVDs) in the community essentially relies on studies that investigated one single sleep pattern at one point in time. This study examined the joint effect of five sleep patterns at two time points with incident CVD events.

METHODS

By combining the data from two prospective studies, the Paris Prospective Study III (Paris, France) and the CoLaus|PsyCoLaus study (Lausanne, Switzerland), a healthy sleep score (HSS, range 0-5) combining five sleep patterns (early chronotype, sleep duration of 7-8 h/day, never/rarely insomnia, no sleep apnoea, and no excessive daytime sleepiness) was calculated at baseline and follow-up.

RESULTS

The study sample included 11 347 CVD-free participants aged 53-64 years (44.6% women). During a median follow-up of 8.9 years [interquartile range (IQR): 8.0-10.0], 499 first CVD events occurred (339 coronary heart disease (CHD) and 175 stroke). In multivariate Cox analysis, the risk of CVD decreased by 18% [hazard ratio (HR) 0.82, 95% confidence interval (CI) 0.76-0.89] per one-point increment in the HSS. After a median follow-up of 6.0 years (IQR: 4.0-8.0) after the second follow-up, 262 first CVD events occurred including 194 CHD and 72 stroke. After adjusting for baseline HSS and covariates, the risk of CVD decreased by 16% (HR 0.84, 95% CI 0.73-0.97) per unit higher in the follow-up HSS over 2-5 years.

CONCLUSIONS

Higher HSS and HSS improvement over time are associated with a lower risk of CHD and stroke in the community.

Internet-delivered therapist-assisted cognitive behavioral therapy for gambling disorder: a randomized controlled trial

Objectives

Cognitive behavioral therapy (CBT) is the most promising treatment for gambling disorder (GD) but only 21% of those with problematic gambling seek treatment. CBT over the Internet might be one way to reach a larger population. The aim of this study was to assess the effectiveness of Internet-delivered CBT with therapist guidance compared to an active control treatment.

Methods

Using a single-blinded design, 71 treatment-seeking gamblers (18-75 years) diagnosed with GD were randomized to 8 weeks of Internet-delivered CBT guided by telephone support, or 8 weeks of Internet-delivered motivational enhancement paired with motivational interviewing via telephone (IMI). The primary outcome was gambling symptoms measured at a first face-to-face assessment, baseline (treatment start), every 2 weeks, post-treatment, and 6-month follow-up. Gambling expenditures, time spent gambling, depression, anxiety, cognitive distortions, and quality of life were assessed as secondary outcomes. Analysis was performed on the full analysis sample (n = 60), with intention-to-treat sensitivity analyses (n = 69).

Results

In the CBT group, 80% stayed in treatment until the final week, compared to 67% in IMI. Post-treatment and at 6-month follow-up, no differences were found between CBT and IMI for any outcome measure. An exploratory analysis of the total sample (n = 60) showed a significant effect of time during treatment on gambling symptoms (d, [95% CI] 0.52, [-1.15, 2.02]) and all secondary outcomes except the gambling diary (depression (0.89, [-1.07-2.65]); anxiety (0.69, [-1.20-2.38])); cognitive distortions (0.84, [-0.73-2.29]); quality of life (0.60, [-0.61-1.70])). Post-treatment, there were no clinical gambling symptoms in either group. Some deterioration was seen between post-treatment and 6-month follow-up on gambling symptoms (0.42, [-1.74-2.43]), depression (0.59, [-0.82-1.86]), and anxiety (0.30, [-0.99-1.48]). Additionally, it was observed that the largest reduction in gambling symptoms was between the first assessment and baseline.

Conclusion

Both treatments offered in this study were effective at reducing gambling symptoms. It is also possible that the process of change started before treatment, which gives promise to low-intensity interventions for GD. Additional research is needed as this approach could be both cost-effective and has the potential to reach more patients in need of treatment than is currently possible.

Clinical trial registration

https://www.isrctn.com/, identifier ISRCTN38692394.

Disseminating cognitive behavioural therapy (CBT) for insomnia at scale: capitalising on the potential of digital CBT to deliver clinical guideline care

Cognitive behavioural therapy (CBT) is the recommended first-line treatment for insomnia. However, guideline care is very seldom available and most patients receive no treatment, or less effective second-line pharmacotherapy or sleep hygiene, neither of which are evidence-based for chronic insomnia. The primary challenge for CBT has been supply. There are not enough therapists to meet the enormous demand. We must accelerate clinician training, but this approach can never be sufficient, even with abbreviated, efficient therapies. Fortunately, however, the treatment landscape has also changed dramatically. Fully-automated digital CBT (dCBT) has emerged as a safe, effective, and scalable treatment delivery format. dCBT is software only, so it can be disseminated as readily and widely as sleep medication. Moreover, dCBT can be integrated into services. Just as medications can be delivered through health professionals and health systems, approved dCBT programmes can be the same. However, an ecosystem of psychologically-based care should not necessitate a medical prescription model. Our proposed stepped care framework, comprises both population health and clinical health service initiatives, enabling universal access to guideline care for insomnia. The diverse ways in which CBT may be delivered (in-person, face-to-face, using telehealth, group therapy, digitally) can operate congruently and efficiently to optimise treatment for people at all levels of complexity and need. With safe and clinically effective dCBT products now set to become established as treatments, clearly differentiated from wellness apps, there is potential to rapidly transform insomnia services and, for the first time, to deliver clinical guideline care at international scale.

The effect of cognitive behavioural therapy for insomnia in people with comorbid insomnia and sleep apnoea: A systematic review and meta-analysis

Comorbid insomnia and sleep apnoea (COMISA) is a highly prevalent and debilitating sleep disorder. Cognitive behavioural therapy for insomnia (CBTi) may be an appropriate treatment for COMISA; however, no previous study has systematically reviewed and meta-analysed literature reporting on the effect of CBTi in people with COMISA. A systematic literature search was conducted across PsychINFO and PubMed (n = 295). In all, 27 full-text records were independently reviewed by at least two authors. Forward- and backward-chain referencing, and hand-searches were used to identify additional studies. Authors of potentially eligible studies were contacted to provide COMISA subgroup data. In total, 21 studies, including 14 independent samples of 1040 participants with COMISA were included. Downs and Black quality assessments were performed. A meta-analysis including nine primary studies measuring the Insomnia Severity Index indicated that CBTi is associated with a large improvement in insomnia severity (Hedges' g = -0.89, 95% confidence interval [CI] -1.35, -0.43). Subgroup meta-analyses indicated that CBTi is effective in samples with untreated obstructive sleep apnoea (OSA) (five studies, Hedges' g = -1.19, 95% CI -1.77, -0.61) and treated OSA (four studies, Hedges' g = -0.55, 95% CI -0.75, -0.35). Publication bias was evaluated by examining the Funnel plot (Egger's regression p = 0.78). Implementation programmes are required to embed COMISA management pathways in sleep clinics worldwide that currently specialise in the management of OSA alone. Future research should investigate and refine CBTi interventions in people with COMISA, including identifying the most effective CBTi components, adaptations, and developing personalised management approaches for this highly prevalent and debilitating condition.

The European Insomnia Guideline: An update on the diagnosis and treatment of insomnia 2023

Progress in the field of insomnia since 2017 necessitated this update of the European Insomnia Guideline. Recommendations for the diagnostic procedure for insomnia and its comorbidities are: clinical interview (encompassing sleep and medical history); the use of sleep questionnaires and diaries (and physical examination and additional measures where indicated) (A). Actigraphy is not recommended for the routine evaluation of insomnia (C), but may be useful for differential-diagnostic purposes (A). Polysomnography should be used to evaluate other sleep disorders if suspected (i.e. periodic limb movement disorder, sleep-related breathing disorders, etc.), treatment-resistant insomnia (A) and for other indications (B). Cognitive-behavioural therapy for insomnia is recommended as the first-line treatment for chronic insomnia in adults of any age (including patients with comorbidities), either applied in-person or digitally (A). When cognitive-behavioural therapy for insomnia is not sufficiently effective, a pharmacological intervention can be offered (A). Benzodiazepines (A), benzodiazepine receptor agonists (A), daridorexant (A) and low-dose sedating antidepressants (B) can be used for the short-term treatment of insomnia (≤ 4 weeks). Longer-term treatment with these substances may be initiated in some cases, considering advantages and disadvantages (B). Orexin receptor antagonists can be used for periods of up to 3 months or longer in some cases (A). Prolonged-release melatonin can be used for up to 3 months in patients ≥ 55 years (B). Antihistaminergic drugs, antipsychotics, fast-release melatonin, ramelteon and phytotherapeutics are not recommended for insomnia treatment (A). Light therapy and exercise interventions may be useful as adjunct therapies to cognitive-behavioural therapy for insomnia (B).

A comparison of anxiety levels before and during the COVID-19 pandemic

The COVID-19 Pandemic upended the lives of nearly everyone worldwide, and recent studies have reported higher rates of anxiety, depression, and other mental health problems. Using a repeated crosssectional design, the current study compares anxiety levels from a representative sample of college students prior-to and during the COVID-19 Pandemic. Additionally, differences in anxiety prior to and following U.S. approval for use of the Pfizer-BioNTtech COVID-19 vaccine were also compared. Findings indicate that state-anxiety levels did not differ significantly prior to and during the Pandemic as well as before the vaccine and during and after the vaccine (M = 43.01, 44.10, 44.77, respectively). Surprisingly, trait anxiety levels were significantly higher during the Pandemic than before (p = .003), and anxiety levels trend down after the approval of the vaccine, but not significantly (M = 45.10, 48.85, 47.58, respectively). Future research should continue to investigate and compare anxiety levels during the COVID-19 Pandemic.

Complementary and alternative treatments for insomnia disorder: a systematic umbrella review

Insomnia is a common disorder and cognitive behavioural therapy for insomnia (CBT-I) is recommended as first-line treatment. However, CBT-I is not widely distributed and infrequently available while medication is not indicated for long-term use. To close this evident gap in supply, alternative treatments could be utilised. High-quality research on this topic is scarce, and there is currently no comprehensive publication on the effectiveness of alternative treatments. To address this pressing question, we systematically summarised the existing research on alternative treatments for insomnia. A comprehensive search of systematic reviews and (network) meta-analyses of randomised controlled trials investigating the efficacy of alternative treatments compared to waiting-list control or placebo in adults with insomnia disorder with or without comorbidities was conducted in PubMed, MEDLINE, PsycInfo, and PsycArticles on December 6, 2022, yielding 391 records. Finally, 15 eligible studies were included. Evidence on acupuncture, exogenous melatonin, mind-body interventions and exercise, repetitive transcranial magnetic stimulation (rTMS), valerian, and light exposure was found. Acupuncture, rTMS and mind-body exercises significantly improved sleep quality and insomnia severity but effects on objectively assessed outcomes were inconclusive. Melatonin led to a reduction in both self-reported and objectively assessed sleep onset latency. Light exposure and valerian did not significantly improve sleep outcomes. Overall, the quality of studies was rated as low. Results indicate that alternative treatments are effective mostly on subjective outcomes. However, evidence on the efficacy of some intervention types is sparse and there is a need for high-quality original studies. Future research could investigate whether combining different alternative treatment aspects with CBT-I improves individual treatment.

Efficacy of an Internet-Delivered Intervention for Improving Insomnia Severity and Functioning in Veterans: Randomized Controlled Trial

BACKGROUND

Despite a growing evidence base that internet-delivered cognitive behavioral therapy for insomnia (iCBT-I) is associated with decreased insomnia severity, its efficacy has been minimally examined in veterans.

OBJECTIVE

The objective of this study was to evaluate the efficacy of an unguided iCBT-I (Sleep Healthy Using the Internet [SHUTi]) among veterans.

METHODS

We conducted a single-blind, randomized controlled trial in Operation Enduring Freedom, Operation Iraqi Freedom, and Operation New Dawn veterans eligible for Veterans Health Administration care. Participants were randomly assigned (1:1) to receive SHUTi (a self-guided and interactive program) or an Insomnia Education Website (IEW) that provided nontailored and fixed insomnia information. Web-based assessments were administered at baseline, postintervention, 6 months postintervention, and 1 year postintervention. The primary outcome was self-reported insomnia severity (Insomnia Severity Index [ISI]). Secondary outcomes were self-reported mental and physical health functioning (Veterans RAND 36-item Health Survey). Exploratory outcomes comprised sleep diary parameters.

RESULTS

Of the 231 randomized participants (mean age 39.3, SD 7.8 years; 170/231, 73.5% male sex; 26/231, 11.3% Black; 172/231, 74.5% White; 10/231, 4.3% multiracial; and 17/231, 7.4% other; 36/231, 15.6% Hispanic) randomized between April 2018 and January 2019, a total of 116 (50.2%) were randomly assigned to SHUTi and 115 (49.8%) to the IEW. In intent-to-treat analyses, SHUTi participants experienced significantly larger ISI decreases compared with IEW participants at all time points (generalized η2 values of 0.13, 0.12, and 0.10, respectively; all P<.0001). These corresponded to estimated larger differences in changes of -3.47 (95% CI -4.78 to -2.16), -3.80 (95% CI -5.34 to -2.27), and -3.42 (95% CI -4.97 to 1.88) points on the ISI for the SHUTi group. SHUTi participants experienced significant improvements in physical (6-month generalized η2=0.04; P=.004) and mental health functioning (6-month and 1-year generalized η2=0.04; P=.009 and P=.005, respectively). Significant sleep parameter improvements were noted for SHUTi (all P<.05), though the pattern and magnitude of these reductions varied by parameter. No adverse events were reported.

CONCLUSIONS

Self-administered iCBT-I was associated with immediate and long-term improvements in insomnia severity. Findings suggest that leveraging technology to meet insomnia treatment demands among veterans may be a promising approach.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03366870; https://clinicaltrials.gov/ct2/show/NCT03366870.

Digital Health Applications in the Area of Mental Health

BACKGROUND

The introduction of digital health applications (DiGA) is a fundamental innovation in Germany. In the field of mental health, numerous applications are already available whose efficacy has been tested in clinical trials. We investigated whether, and to what extent, the use of DiGA can be recommended on the basis of the available evidence.

METHODS

In this scoping review, we summarize the evidence supporting the use of DiGA in the mental health field through an examination of relevant publications that were retrieved by a systematic literature search. We provide an annotated tabular listing and discuss the current advantages of, and obstacles to, the care of mentally ill patients with the aid of DiGA.

RESULTS

We identified 17 DiGA for use in depression, anxiety disorders, addiction disorders, sleep disorders, stress/burnout, vaginismus, and chronic pain. These DiGA have been evaluated to date in 3 meta-analyses, 39 randomized controlled trials (RCTs), and two single-armed intervention trials. 23 of the 36 published trials were carried out with the direct participation of the manufacturers. 29 of the 39 RCTs were not blinded or contained no information regarding blinding. Active controls were used in 6 of the 39 RCTs. The reported effect sizes, with the exclusion of pre-post analyses, ranged from 0.16 to 1.79.

CONCLUSION

Most of the published studies display a high risk of bias, both because of the manufacturers' participation and because of methodological deficiencies. DiGA are an increasingly important therapeutic modality in psychiatry. The available evidence indicates that treatment effects are indeed present, but prospective comparisons with established treatments are still entirely lacking.

The clinical effects of digital cognitive behavioral therapy for insomnia in a heterogenous study sample: results from a randomized controlled trial

STUDY OBJECTIVES

Numerous studies worldwide have reported the beneficial effects of digital cognitive behavioral therapy for insomnia (dCBT-I). However, few focus on real-world study samples that reflect people in regular care. To test whether dCBT-I is suitable within German regular care, we designed a randomized controlled trial recruiting a heterogenous insomnia population.

METHODS

Participants aged ≥18 who met the criteria for insomnia disorder were randomized to 8-weeks dCBT-I + care-as-usual (CAU) or they were set on a waitlist + CAU. The intervention group was followed-up at 6- and 12-months. The primary outcome was self-reported insomnia severity, assessed with the Insomnia Severity Index (ISI) at 8-weeks post-randomization. A one-way ANCOVA with baseline score as a covariate was fitted to determine group differences. Secondary outcomes included measures of daytime functioning, quality of life, depression, anxiety, dreams, and nightmares.

RESULTS

Of the N = 238 participants (67.6% female), age range 19-81 years, n = 118 were randomized to dCBT-I and n = 120 to the control group. At posttreatment, the use of dCBT-I was associated with a large reduction in the ISI (Diffadj = -7.60) in comparison to WLC (d = -2.08). This clinical improvement was also reflected in responder and remission rates. Treatment effects were also observed for daytime functioning, quality of life, symptoms of depression and anxiety (ds = 0.26-1.02) and at long-term follow-up (intervention group only; ds = 0.18-1.65). No effects were found for dream and nightmare frequency.

CONCLUSIONS

This study showed that dCBT-I reduces insomnia symptoms and improves daytime functioning in a heterogenous insomnia population in Germany with sustained long-term treatment effects in the intervention group. Our results underscore the potential of digital health applications, their suitability within regular care, and their role in facilitating widespread implementation of CBT-I as a first-line treatment for insomnia.

Real-World User Demographics of Three Web-Based Digital Mental Health Interventions Provided by the US Department of Veterans Affairs: Observational Study Using Web Analytics Data

BACKGROUND

Unguided digital mental health interventions (UDMHIs) have the potential to provide low-cost and effective mental health care at scale. Controlled trials have demonstrated the efficacy of UDMHIs to address mental health symptoms and conditions. However, few previous publications have described the demographics of real-world users of UDMHIs that are freely available to the public. The US Department of Veterans Affairs has created and hosts several UDMHIs on its Veteran Training Portal website. These web-based, free-to-use, and publicly available UDMHIs include Path to Better Sleep, Anger and Irritability Management Skills, and Moving Forward, which focus on insomnia, problematic anger, and depression symptoms, respectively.

OBJECTIVE

This study aimed to examine the user demographics of these 3 UDMHIs in the year 2021. In addition, it aimed to compare the age and gender distribution of the users of those 3 UDMHIs with one another and with the age and gender distribution of the total US veteran population.

METHODS

Google Analytics was used to collect user data for each of the 3 UDMHIs. The age and gender distribution of the users of each UDMHI was compared with that of the other UDMHIs as well as with that of the overall US veteran population using chi-square tests. Information on the total number of users, the country they were in, and the devices they used to access the UDMHIs was also collected and reported.

RESULTS

In 2021, the 3 UDMHIs together recorded 29,306 unique users. The estimated age range and gender were available for 24.12% (7068/29,306) of those users. Each UDMHI's age and gender distribution significantly differed from that of the other UDMHIs and from that of the overall US veteran population (P<.001 on all chi-square tests). Women and younger age groups were overrepresented among UDMHI users compared with the overall US veteran population. The majority of devices used to access the UDMHIs were desktop or laptop devices, although a substantial proportion of devices used were mobile devices (10,199/29,752, 34.28%). Most users (27,789/29,748, 93.41%) were located in the United States, with users from Canada, the United Kingdom, and Australia accounting for another 2.61% (775/29,748) of total users.

CONCLUSIONS

Our use of Google Analytics data provided useful information about the users of 3 free and publicly available UDMHIs provided by the US Department of Veterans Affairs. Although our findings should be considered in light of the limitations of autonomously collected web analytics data, they still offer useful information for health care policy makers, administrators, and UDMHI developers.

On the Efficacy of a CBT-I-Based Online Program for Sleep Problems: A Randomized Controlled Trial

There is an urgent need for easily accessible treatment options for sleep problems to reduce the current treatment gap in receiving cognitive behavioral therapy for insomnia (CBT-I). Using a randomized controlled trial, we evaluated the efficacy of a CBT-I-based online program on sleep. Fifty-three volunteers (21-71 years; MAge = 44.6 ± 12.5; 27 female) suffering from impaired sleep were randomly allocated either to the experimental group (EG, n = 27) or to an active control group (CG, n = 26). The EG participated in a 6-week CBT-I-based online program, while the CG received psychoeducation and sleep hygiene instructions. Sleep was assessed both objectively via ambulatory polysomnography (PSG) as well as subjectively via questionnaires at three time points (baseline, pre- and post-intervention). A one-month follow-up assessment was performed using questionnaires. The EG showed small but reliable improvements from pre- to post-intervention in PSG-derived wake after sleep onset (from 58.6 min to 42.5 min; p < 0.05) and sleep efficiency (from 86.0% to 89.2%; p < 0.05). Furthermore, subjective sleep quality (assessed via Pittsburgh Sleep Quality Index) improved significantly during intervention (p = 0.011) and follow-up (p = 0.015) in the EG alone. The Insomnia Severity Index decreased from pre- to post-intervention in both groups (EG: p = 0.003, CG: p = 0.008), while it further improved during follow-up (p = 0.035) in the EG alone. We show that a CBT-I-based online program can improve sleep not only subjectively but also objectively and can be a viable alternative when face-to-face interventions are not available.

The relationship between psychological capital, patient's contempt, and professional identity among general practitioners during COVID-19 in Chongqing, China

General practitioners are crucial in the primary healthcare system as well as for epidemic prevention and control. However, few researchers have examined their professional identity. This study investigated the current status of the professional identity of general practitioners in Chongqing, China and explored the effects of psychological capital and patient's contempt on their professional identity. From December 2021 to January 2022, randomized cluster sampling was used to conduct a cross-sectional online self-assessment questionnaire survey among general practitioners in Chongqing. In total, 2,180 general practitioners working for more than one year were selected. General practitioners' sense of professional identity, mental health, and sense of patients' disrespect were measured using the Professional Identity Scale, Psychological Capital Questionnaire, and Patient's Contempt Questionnaire. Sociodemographic characteristics were also collected. A multiple linear regression model was used to analyze the association between professional identity, psychological capital, and patient's contempt. The average score for professional identity among general practitioners was 53.59 (SD = 6.42). The scores for self-efficacy, hope, resilience, and optimism (subscales of psychological capital) were 26.87 (SD = 5.70), 26.47 (SD = 5.74), 26.97 (SD = 5.55), and 26.86 (SD = 5.59), respectively. The score for perceived contempt was 34.19 (SD = 7.59). An average monthly income greater than CNY 8,000 (β = 1.018, p < 0.001), work tenure of more than 15 years (β = 0.440, p = 0.001), hope (β = 0.249, p < 0.001) and a higher optimism score (β = 0.333, p < 0.001) were positively correlated with professional identity. Having a bachelor's degree and above (β = -0.720, p = 0.014), an administrative role (β = -1.456, p < 0.001), self-efficacy (β = -0.122, p < 0.001), and higher patient's contempt (β = -0.103, p < 0.001) were negatively associated with professional identity. General practitioners in Chongqing demonstrated high professional identity and a strong psychological status during the COVID-19 pandemic. Psychological capital and patient's contempt were associated with professional identity. To improve general practitioners' professional identity, stakeholders should promote practitioners' mental health and physician-patient relationships in China.

The Relationship Between Fear and Anxiety Among Chinese Uninfected Residents During the Pandemic: A Conditional Process Analysis

Background

This study aimed to explore the relationship between residents' COVID-19 fear and anxiety, consider whether this relationship is mediated through obsessions and the moderating role of self-efficacy on this mediating pathway.

Methods

This study used an online questionnaire to obtain and assess fear, obsession, anxiety and self-efficacy in 1589 Chinese COVID-19 uninfected residents. A conditional process model was used to examine the relationships between variables.

Results

Higher levels of fear were positively associated with obsession and anxiety. In addition, obsession was positively associated with anxiety, while self-efficacy attenuated the effect of fear on obsession and further mitigated the indirect effect of fear on anxiety through obsession.

Conclusion

During the COVID-19 outbreak, uninfected residents suffered varying degrees of psychological distress. COVID-19 fear may have an effect on anxiety in COVID survivors through obsession, and self-efficacy as a protective factor for individual mental health partially attenuates the effect of COVID-19 fear on obsession and the indirect effect of fear on anxiety.

Effects of digital sleep interventions on sleep and psychological health during the COVID-19 pandemic: A systematic review and meta-analysis

BACKGROUND

Various digital sleep interventions have been implemented to address sleep and psychological complications during the coronavirus disease 2019 (COVID-19) pandemic. However, the characteristics and effectiveness of digital sleep interventions on sleep and psychological outcomes for people with sleep problems during the COVID-19 pandemic are unknown.

METHODS

The protocol of this systematic review and meta-analysis was registered on PROSPERO (ID: CRD42022325662), seven databases were searched from December 2019 to June 2023. Reference lists from digital sleep reviews were also identified and selected. Two reviewers independently screened eligible articles and extracted data. Quality appraisal was undertaken by two independent reviewers using the Cochrane Risk-of-Bias Tools. Data synthesis was conducted using fixed- or random-effects model based on the results of the heterogeneity test.

RESULTS

A total of 20 studies were identified, including nine randomised controlled trials (RCTs) and 11 non-RCTs, involving 3860 participants. Meta-analyses showed that digital sleep interventions significantly improve sleep quality, insomnia, and depression during the COVID-19 pandemic. Subgroup analysis showed that interventions of more than four weeks, healthcare workers as participants, and relaxation therapies may have the advantage of improving sleep quality. Most non-RCTs supported the efficacy of digital sleep interventions on sleep and psychological health.

CONCLUSION

Digital sleep interventions during the COVID-19 pandemic had significant effectiveness in improving sleep and psychological outcomes for people with sleep problems. More structured and personalised digital sleep interventions should be designed, and other diverse digital technologies could be used to improve sleep and psychological disorders.

Patient perspectives on facilitators and barriers to equitable engagement with digital CBT-I

STUDY OBJECTIVES

Digital cognitive behavioral therapy for insomnia has significant advantages for dissemination and scalability vs. in-person cognitive behavioral therapy for insomnia and is, therefore, well-positioned to be the first-line intervention for insomnia. However, only about half of patients remit following digital cognitive behavioral therapy for insomnia. Evidence suggests that treatment engagement is a critical driver of digital cognitive behavioral therapy for insomnia effectiveness, and barriers to engagement disproportionately impact people from under-resourced communities. For digital cognitive behavioral therapy for insomnia to be effective and scalable, we need to identify facilitators and barriers to digital cognitive behavioral therapy for insomnia engagement.

METHODS

Responses from an exit survey about participant experiences with digital cognitive behavioral therapy for insomnia were analyzed using mixed methods. The survey included quantitative measures of treatment engagement and a free-response item, which was coded and analyzed for themes using both inductive and deductive approaches.

RESULTS

Analyses revealed five themes that were relevant for engagement: (1) digital person-to-person components, (2) type and extent of information, (3) user's sense of autonomy, (4) app functionality, and (5) importance of tailored content. Facilitators included enjoyment of digital cognitive behavioral therapy for insomnia elements, particularly those that enhanced a sense of connection (eg, a digital therapist avatar); content presented clearly and at an appropriate pace; and smooth app functionality. Barriers included desire for additional human support, perception that digital cognitive behavioral therapy for insomnia did not account for clinical complexities, and factors that interfered with implementation of key treatment recommendations.

CONCLUSION

Many barriers and facilitators are influenced by health literacy and technological literacy. Those with access to health and technological literacy are better equipped to engage with digital cognitive behavioral therapy for insomnia. Recommendations for adaptations and enhancements are discussed.

2023 Guidelines on the Diagnosis and Treatment of Insomnia in Adults - Brazilian Sleep Association

Chronic insomnia disorder (simplified in this document as insomnia) is an increasingly common clinical condition in society and a frequent complaint at the offices of different areas of health practice (particularly Medicine and Psychology). This scenario has been accompanied by a significant evolution in treatment, as well as challenges in approaching patients in an appropriately way. This clinical guideline, coordinated by the Brazilian Sleep Association and the Brazilian Association of Sleep Medicine and counting on the active participation of various specialists in the area, encompasses an update on the diagnosis and treatment of insomnia in adults. To this end, it followed a structured methodology. Topics of interest related to diagnosis were written based on theoretical framework, evidence in the literature, and professional experience. As for the topics related to the treatment of insomnia, a series of questions were developed based on the PICO acronym (P - Patient, problem, or population; I - Intervention; C - Comparison, control, or comparator; O - Outcome). The work groups defined the eligible options within each of these parameters. Regarding pharmacological interventions, only the ones currently available in Brazil or possibly becoming available in the upcoming years were considered eligible. Systematic reviews were conducted to help prepare the texts and define the level of evidence for each intervention. The final result is an objective and practical document providing recommendations with the best scientific support available to professionals involved in the management of insomnia.

Anxiety, depression, and stress prevalence among college students during the COVID-19 pandemic: A systematic review and meta-analysis

Background: Since the end of 2019, the coronavirus disease (COVID-19) outbreak rapidly became a pandemic. The psychological state of people during the COVID-19 pandemic has gained interest. Our aim was to study the prevalence of anxiety, depression, and stress in college students during the COVID-19 pandemic. Methods: A systematic search of Medline, Embase, Web of Science, and the Cochrane Library was conducted up to September 20, 2020. Reviewers independently assessed full-text articles according to predefined criteria. Stata14/SE was used to calculate the prevalence and 95% confidence intervals (CIs) of anxiety, depression, and stress among college students from different countries. A random effects model was adopted. The Egger test was used to determine publication bias. Results: A total of 280 references were retrieved, and 28 papers met our inclusion criteria, for a total of 436,799 college students. Thirteen studies involved non-Chinese college students, and 15 studies involved Chinese college students. The prevalence of anxiety, depression, and stress was 29% (95% CI, 19-25%), 37% (95% CI, 32-42%), and 23% (95% CI, 8-39%), respectively. Conclusion: The COVID-19 pandemic has had a negative psychological effect on college students, and the prevalence of anxiety, depression, and stress among Chinese college students is lower than among non-Chinese college students.