Self-help interventions for the prevention of relapse in mood disorder: a systematic review and meta-analysis.

INTRODUCTION: Self-help interventions may offer a scalable adjunct to traditional care, but their effectiveness in relapse prevention is not well-established. Objectives: This review aimed to assess their effectiveness in preventing relapses among individuals with mood disorders. METHODS: We systematically reviewed the pertinent trial literature in Web of Science, EMBASE, PubMed, PsycINFO, and Cochrane databases until May 2024. Randomized controlled trials that examined the self-help interventions among individuals diagnosed with major depressive disorder (MDD) or bipolar disorder (BD) were included. The random-effects model computed the pooled risk ratios of relapse, with subgroup analyses and meta-regression analyses to explore heterogeneity sources. RESULTS: Fifteen papers and 16 comparisons of randomized trials involving 2735 patients with mood disorders were eligible for this meta-analysis. Adjunct self-help interventions had a small but significant effect on reducing the relapse rates of major depressive disorder (pooled risk ratio: 0.78, 95% confidence interval (CI): 0.66-0.92, P = 0.0032, NNT = 11), and were marginally better in bipolar disorder (pooled risk ratio: 0.62, 95% CI: 0.40-0.97, P = .0344, NNT = 12), as compared to treatment as usual (TAU). No subgroup difference was found based on intervention components, settings, delivery method, or guidance levels. The average dropout rate for self-help interventions (18.9%) did not significantly differ from TAU dropout rates. The examination of treatment adherence was highly variable, precluding definitive conclusions. CONCLUSIONS: Self-help interventions demonstrate a modest preventative effect on relapse in mood disorders, despite low to very low certainty. Future research is essential to identify which elements of self-help interventions are most effective.

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

BACKGROUND: Disrupted sleep and rest-activity pattern are common clinical features in depressed individuals. This meta-analysis compared sleep and circadian rest-activity rhythms in people with major depressive disorder (MDD) or depressive symptoms and healthy controls. METHODS: Eligible studies were identified in five databases up to December 2023. The search yielded 53 studies with a total of 11,115 participants, including 4000 depressed participants and 7115 healthy controls. RESULTS: Pooled meta-analyses demonstrated that depressed individuals have significantly longer sleep latency (SMD = 0.23, 95 % CI: 0.12 to 0.33) and wake time after sleep onset (SMD = 0.37, 95 % CI: 0.22 to 0.52), lower sleep efficiency (SMD = -0.41, 95 % CI: -0.56 to -0.25), more nocturnal awakenings (SMD = 0.58, 95 % CI: 0.29 to 0.88), lower MESOR (SMD = -0.54, 95 % CI: -0.81 to -0.28), amplitude (SMD = -0.33, 95 % CI: -0.57 to -0.09), and interdaily stability (SMD = -0.17, 95 % CI: -0.28 to -0.05), less daytime (SMD = -0.79, 95 % CI: -1.08 to -0.49) and total activities (SMD = -0.89, 95 % CI: -1.28 to -0.50) when compared with healthy controls. LIMITATIONS: Most of the included studies reported separate sleep and activity parameters instead of 24-hour rest-activity rhythms. The variabilities among actigraphy devices and the types of participants recruited also impede precise comparisons. CONCLUSIONS: The findings emerging from this study offered a better understanding of sleep and rest-activity rhythm in individuals with MDD or depressive symptoms. Future studies could advocate for deriving objective, distinctive 24-hour rest-activity profiles contributing to the risk of depression. PROSPERO REGISTRATION NUMBER: CRD42021259780.

A longitudinal study on the change in sleep across three waves of the COVID-19 outbreaks in Hong Kong.

In the year 2020, Hong Kong experienced four COVID-19 epidemic waves. The present study aimed to examine the transition of sleep disturbances and explore its associated factors across the later three epidemic waves. Among the 1138 respondents who participated in an online survey at the second wave (T1, April 2020), 338 and 378 participants also completed a follow-up at the third (T2, August 2020) and fourth waves (T3, December 2020), respectively. Participants completed the Insomnia Severity Index and an investigator-designed questionnaire regarding potential factors associated with sleep change such as perceived risk of being infected, economic stress, and confidence in the government and health care professional. Sample of this study were mainly female (67.7%), married (50.3%), young adults (54.2%) with tertiary education (81.6%). Maintaining normal sleep was the most prevalent trajectory of sleep of all three waves (50.5%), followed by persistent insomnia (17.2%) and remitted insomnia (9.0%). Besides female, older-age and lower education level, the results showed that increment in worry about family being infected (adjusted risk ratio, RR = 1.28), perceived interference of daily lives (adjusted RR = 1.19), and economic distress (adjusted RR = 1.24) were significantly associated with the development of clinical insomnia during the three epidemic waves. These factors were also associated with worsening of other sleep parameters. Insomnia being persistent across the three waves of COVID-19 outbreaks was common. Increasing economic distress, daily interference, and worry about family members being infected were associated with an increasing risk of clinical insomnia across the three COVID-19 outbreaks. Supplementary Information: The online version contains supplementary material available at 10.1007/s41105-023-00486-w.

Corrigendum: Smartphone-delivered multicomponent lifestyle medicine intervention for improving mental health in a nonclinical population: a randomized controlled trial.

[This corrects the article DOI: 10.3389/fpubh.2023.1231981.].

A group-based transdiagnostic sleep and circadian treatment for major depressive disorder: A randomized controlled trial.

OBJECTIVE: Sleep and circadian disturbance is highly comorbid with a range of psychological disorders, especially major depressive disorder (MDD). In view of the complexity of sleep and circadian problems in MDD, this study aimed to evaluate the efficacy of a group-based transdiagnostic intervention for sleep and circadian dysfunction (TranS-C) for improving depressive symptoms and sleep and circadian functions. METHOD: One hundred fifty-two adults diagnosed with comorbid MDD and sleep and circadian dysfunctions were randomized into TranS-C group treatment (TranS-C; n = 77) or care as usual (CAU; n = 75) control group. The TranS-C group received six weekly 2-hr group sessions of TranS-C, whereas the CAU group continued to receive usual care. Assessments were at baseline, immediate (Week 7), and 12-week (Week 19) posttreatment. Primary and secondary outcomes included depression, anxiety, sleep disturbances, fatigue, quality of life, and functional impairment. RESULTS: The TranS-C group showed significant improvement in depressive symptoms (p < .001, d = 0.84), insomnia severity (p < .001, d = 0.77), sleep disturbances (p < .001, d = 1.15), sleep-related impairment (p < .001, d = 1.22), fatigue (p < .001, d = 1.06), anxiety symptoms (p = .004, d = 0.67), quality of life (p < .001, d = 0.71), and sleep diary-derived parameters (ps < .05, d = 0.12-0.77) relative to the CAU group at immediate posttreatment. These treatment gains remained significant at 12-week follow-up. Significant improvement in functional impairment was also noted at 12-week follow-up. CONCLUSIONS: TranS-C was efficacious and acceptable in alleviating depressive symptoms and sleep and circadian disruptions in adults with MDD. The group format appears to be a low-cost, widely disseminable option to deliver TranS-C. Further research on TranS-C to examine its benefits on other psychiatric disorders is warranted. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Unraveling the associations between unhealthy lifestyle behaviors and mental health in the general adult Chinese population: A cross-sectional study.

BACKGROUND: This study examined the cumulative risk of unhealthy lifestyle behaviors and the associations between overall lifestyle and common mental disorders (CMDs), insomnia, stress, health-related quality of life (HRQOL), and functional impairment. Additionally, the treatment preferences for managing CMDs and insomnia were examined. METHODS: A survey was conducted on 1487 Chinese Hong Kong adults, assessing their lifestyle behaviors (i.e., diet and nutrition, substance use, physical activity, stress management, restorative sleep, social support, and environmental exposures), mental health-related outcomes, and treatment preferences via a vignette. RESULTS: The findings revealed significant additive relationships between the number of 'worse' lifestyle domains and the risk of all outcomes. A healthier overall lifestyle was significantly associated with reduced risks of all outcomes (AORs = 0.88 to 0.93). Having healthier practices in diet and nutrition, substance use, stress management, restorative sleep, and social support domains were significantly associated with lower risks of all outcomes (AORs = 0.93 to 0.98), except that substance use was not significantly associated with stress. Physical activity was inversely associated with only depressive symptoms (AOR = 0.98), anxiety symptoms (AOR = 0.99), and stress (AOR = 0.99). Environmental exposures were not significantly associated with functional impairment but with all other outcomes (AORs = 0.98 to 0.99). Besides, lifestyle interventions (55 %) were significantly more preferred for managing CMDs and insomnia relative to psychotherapy (35.4 %) and pharmacotherapy (9.6 %). CONCLUSIONS: Our findings underscore the importance of considering lifestyle factors when managing CMDs, insomnia, stress, HRQOL, and functional impairment, with a particular emphasis on adopting a multicomponent treatment approach.

Cognitive behavioural therapy for insomnia as an early intervention of mood disorders with comorbid insomnia: A randomized controlled trial.

OBJECTIVE: To evaluate the effectiveness of small-group nurse-administered cognitive behavioural therapy for insomnia (CBTI) as an early intervention of mood disorders with comorbid insomnia. METHODS: A total of 200 patients with first-episode depressive or bipolar disorders and comorbid insomnia were randomized in a ratio of 1:1 to receiving 4-session CBTI or not in a routine psychiatric care setting. Primary outcome was Insomnia Severity Index. Secondary outcomes included response and remission status; daytime symptomatology and quality of life; medication burden; sleep-related cognitions and behaviours; and the credibility, satisfaction, adherence and adverse events of CBTI. Assessments were conducted at baseline, 3, 6, and 12-month. RESULTS: Only a significant time-effect but no group-by-time interaction was found in the primary outcome. Several secondary outcomes had significantly greater improvements in CBTI group, including higher depression remission at 12-month (59.7% vs. 37.9%, χ2 = 6.57, p = .01), lower anxiolytic use at 3-month (18.1% vs. 33.3%, χ2 = 4.72, p = .03) and 12-month (12.5% vs. 25.8%, χ2 = 3.26, p = .047), and lesser sleep-related dysfunctional cognitions at 3 and 6-month (mixed-effects model, F = 5.12, p = .001 and .03, respectively). Depression remission rate was 28.6%, 40.3%, and 59.7% at 3, 6, and 12-month, respectively in CBTI group and 28.4%, 31.1%, and 37.9%, respectively in no CBTI group. CONCLUSION: CBTI may be a useful early intervention to enhance depression remission and reduce medication burden in patients with first-episode depressive disorder and comorbid insomnia.

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

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

Efficacy of lifestyle medicine on sleep quality: A meta-analysis of randomized controlled trials.

OBJECTIVES: Randomized controlled trials (RCTs) on the efficacy of multicomponent lifestyle medicine (LM) interventions for improving sleep quality have yielded inconsistent findings. This study marks the first meta-analysis to evaluate the efficacy of multicomponent LM interventions in improving sleep quality. METHODS: We searched six online databases for RCTs that compared multicomponent LM interventions to an active or inactive control group in an adult population and assessed subjective sleep quality as a primary or secondary outcome using validated sleep measures at any post-intervention time-point. RESULTS: A total of 23 RCTs with 26 comparisons involving 2534 participants were included in the meta-analysis. After excluding outliers, the analysis revealed that multicomponent LM interventions significantly improved sleep quality at immediate post-intervention (d = 0.45) and at short-term follow-up (i.e.,

Traditional Chinese medicine-based integrated health interventions for depression: A systematic review and meta-analysis.

BACKGROUND: Some traditional Chinese medicine (TCM)-based integrated health interventions have been used for depression, but pooled efficacy remains unknown. AIMS AND OBJECTIVES: This study aimed to systematically evaluate the efficacy of TCM-based integrated health interventions for relieving depression. DESIGN: Systematic review and meta-analysis. METHODS: A comprehensive literature search was conducted on 17 databases from inception up to June 2022. Randomised controlled trials (RCTs) that examined an integrated health intervention based on TCM theory for depression were included. The risk of bias was assessed using the second version of the Cochrane risk-of-bias tool for randomised trials, and the quality of evidence was evaluated using the Grading of Recommendations, Assessment, Development and Evaluation system. RESULTS: Eighteen RCTs with a total of 1448 depressed participants were included. Health care providers, mainly nurses (14 studies), implemented TCM-based integrated health interventions. The pooled results showed that TCM-based integrated health interventions had larger effects on reducing depressive symptoms (15 studies; standardised mean difference = -2.05; 95% CI: -2.74, -1.37; p < .00001) compared with usual care at posttreatment but showed no significant difference contrasted to cognitive behavioural therapy (two studies, p = .31). However, the overall evidence was low. CONCLUSIONS: The meta-analysis results indicated that TCM-based integrated health interventions were effective in reducing depression. However, the results should be interpreted with caution because of the low quality of the included studies. Future RCTs with rigorous designs should be conducted to provide robust evidence of the efficacy of TCM-based integrated health interventions in treating depression. RELEVANCE TO CLINICAL PRACTICE: TCM-based integrated health interventions might be a potentially effective alternative for depression. Nurses could play an important role in designing and providing TCM-based integrated nursing interventions for patients with depression. NO PATIENT OR PUBLIC CONTRIBUTION: This is a systematic review and meta-analysis based on data from previous studies.