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.

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.].

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.

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.,

Actigraphic sleep monitoring in patients with post-traumatic stress disorder (PTSD): A meta-analysis.

OBJECTIVE: Sleep disruption is a common complaint among patients with post-traumatic stress disorder (PTSD). Modern technology of activity monitoring (actigraphy) enables extended, objective, unobtrusive recording and measuring of daytime and nighttime activity. We conducted a meta-analysis to investigate the actigraphic sleep patterns in PTSD compared with healthy controls. METHODS: We searched through seven electronic databases from inception to July 2022. Only case-control studies comparing rest-activity variables measured by actigraphy devices between clinically diagnosed PTSD patients and healthy individuals were included. RESULTS: We identified 12 eligible studies comparing 323 PTSD patients and 416 healthy controls. Using a random-effects model, we showed that PTSD patients have significantly lower sleep efficiency (SMD: -0.26, 95 % CI = -0.51 to -0.004, p < .05, I2 = 29.31 %), more fragmented sleep (SMD: 0.52, 95 % CI = 0.17 to 0.87, p < .01, I2 = 0 %), and longer time in bed (SMD: 0.41, 95 % CI = 0.07 to 0.74, p < .05, I2 = 0 %) compared to healthy controls. LIMITATIONS: This study included a limited number of studies. Publication bias was not examined on all variables, which could lead to an overestimation of effect size. Four studies involved veterans, which likely differ from civilians regarding traumatic exposure. CONCLUSION: This meta-analytic review highlighted a pattern of sleep disturbances in PTSD patients compared with non-PTSD individuals. High-quality, large-scale studies are necessary to draw a definitive conclusion regarding the distinctive sleep profile in PTSD. Future research can pay attention to sleep-specific mechanisms underlying PTSD and explore the momentary interactions between sleep-wake variables.

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

Objective: To prevent the exacerbation of mental health burdens, a growing body of research has recommended a balanced approach that emphasizes both the delivery of mental health treatments to individuals with common mental disorders (CMDs) and the strengthening of protective factors for CMDs among nonclinical populations. This randomized controlled trial (RCT) evaluated the efficacy of a smartphone-delivered multicomponent lifestyle medicine (LM) intervention, Lifestyle Hub, for improving mental health among a nonclinical population of Chinese adults. Methods: A total of 106 participants with Patient Health Questionnaire-9 total score < 10 and Generalized Anxiety Disorder 7-Item Scale <8 were randomly assigned to either the Lifestyle Hub intervention group (LH, n = 53) or the waitlist control group (WL, n = 53). Lifestyle Hub is an 8-week smartphone-delivered multicomponent LM intervention developed based on the transtheoretical model. The intervention components included lifestyle psychoeducation, physical activity, diet and nutrition, stress management, sleep management, and motivation and goal-setting techniques. Assessments were conducted at baseline, immediate post-intervention, and 1-month follow-up (LH only). Results: The linear mixed effect model based on the intention-to-treat principle indicated that Lifestyle Hub significantly improved overall mental health, depressive symptoms, anxiety symptoms, stress, insomnia severity, overall health-promoting behaviors, dietary quality, and stress management compared to the WL group at immediate post-intervention (d = 0.13-0.56). No significant between-group differences were observed in terms of functional impairment, health-related quality of life, health responsibility, physical activity level, spiritual growth, and interpersonal relations. The intervention gains in the LH group were maintained at 1-month follow-up. The LH participants indicated that Lifestyle Hub was an acceptable intervention for improving mental health, although a significantly higher level of study attrition was observed in the LH group (20.8%) relative to the WL group (5.7%). Conclusion: Lifestyle Hub may serve as an efficacious and acceptable intervention for improving mental health in nonclinical adult populations. To extend the benefits of LM interventions at the population level, future studies are warranted to examine a stepped-care approach to delivering LM interventions.Trial registration: This randomized controlled trial was pre-registered with ClinicalTrials.gov (NCT04295369).

Lifestyle medicine for anxiety symptoms: A meta-analysis of randomized controlled trials.

BACKGROUND: Lifestyle medicine (LM) is gaining increasing attention as a treatment option for anxiety, but the current state of evidence has not yet been systematically examined. METHODS: Six electronic databases were systematically searched from inception to February 2022. Randomized controlled trials (RCTs) comparing the effects of multicomponent LM interventions on anxiety symptoms with either care-as-usual, waitlist, no intervention, or attention control group on anxiety symptoms were identified. RESULTS: A total of 53 RCTs with 18,894 participants were included for qualitative synthesis, in which 45 RCTs with data available were included for meta-analysis. Multicomponent LM intervention was significantly more effective than the control groups in reducing anxiety symptoms at immediate posttreatment (d = 0.19, p < .001) and at short-term follow-up (d = 0.29, p < .001). However, no significant difference at medium-term was found (p = .14), whereas more studies are needed to study the long-term effects. The subgroup analyses suggested that baseline anxiety symptoms was a significant moderator, suggesting that those with moderate level of baseline anxiety symptoms appeared to have greater improvements (d = 0.66, p < .05). LIMITATIONS: Minimal anxiety symptoms at baseline contributed to the floor effect and influenced the degree of improvement. The included RCTs had a high risk of bias in general with potential publication bias detected. CONCLUSION: The findings of this meta-analysis provided support for the positive effects of multicomponent LM interventions for anxiety symptoms. Future research is needed to determine the long-term effects of multicimponent LM and the optimal baseline anxiety severity.

Lifestyle medicine for depression: A meta-analysis of randomized controlled trials.

BACKGROUND: The treatment effect of multi-component LM interventions on depressive symptoms has not yet been examined. METHODS: We systematically searched six databases from inception to February 2020 to identify randomized controlled trials (RCTs) involving any multi-component LM interventions (physical activity, nutritional advice, sleep management, and/or stress management) on depressive symptoms relative to care as usual (CAU), waitlist (WL), no intervention (NI), or attention control (AC) comparisons. RESULTS: Fifty studies with 8,479 participants were included. Multi-component LM interventions reduced depressive symptoms significantly relative to the CAU (p >.001; d = 0.20) and WL/NI (p > .01; d = 0.22) comparisons at immediate posttreatment. However, no significant difference was found when compared with AC. The intervention effects were maintained in the short-term (1- to 3-month follow-up) relative to the CAU comparison (p > .05; d = 0.25), but not in the medium- and long-term. The moderator analyses examining the effect of multi-component LM interventions compared with CAU suggested that the number of lifestyle factors adopted was a significant moderator. Although disease type was not a significant moderator, there was a tendency that the clinical effect of multi-component LM interventions was stronger (d = 0.45) in those diagnosed with major depression. No publication bias was detected. LIMITATIONS: Low number of RCTs available in some subgroup analyses prevented from finding meaningful effects. Results may not be extended to major depression, because data on secondary depression were captured. CONCLUSION: Multi-component LM interventions appeared to be effective in mitigating depressive symptoms; however, the magnitude of the clinical effect was small. Future research is needed to assess more comprehensive and individualized LM interventions which have a greater emphasis on motivational and compliance aspects and focus solely on individuals with depression.

Smartphone-delivered multicomponent lifestyle medicine intervention for depressive symptoms: A randomized controlled trial.

OBJECTIVE: To evaluate the efficacy and credibility of a smartphone-delivered multicomponent lifestyle medicine (LM) intervention, Lifestyle Hub, as a primary modality for managing depressive symptoms in an adult Chinese population. METHOD: Participants with at least a moderate level of depressive symptoms (n = 79), as indicated by a Patient Health Questionnaire-9 score of ≥10, were randomly assigned to an LM intervention group (LMG; n = 39; eight weekly sessions) or a waitlist control group (WLG; n = 40). RESULTS: The intention-to-treat analysis revealed significant improvements in depressive symptoms (d = 0.66), generalized anxiety symptoms (d = 0.93), insomnia symptoms (d = 0.20), functional impairment (d = 0.22), and health-related quality of life (HRQoL; d = 0.11) from Week 0 (baseline) to Week 9 (immediate post-intervention assessment) in the LMG relative to the WLG. Moreover, significantly more health-promoting behaviors (overall health behaviors, health responsibility, physical activity level, nutrition, spiritual growth, and stress management) (d = 0.40-0.89) and higher levels of total activity (d = 0.55) and walking activity (d = 0.55) were found at Week 9 in the LMG relative to the WLG. However, no significant differences were observed in interpersonal relationships, vigorous and moderate exercise levels, sedentary behavior levels, or food frequency questionnaire measures at Week 9 between the LMG and the WLG. From Week 9 to Week 13 (1-month follow-up assessment), a significant within-group reduction in HRQoL (d = 0.50) and an increase in alcohol intake (d = 0.41) were observed in the LMG. CONCLUSIONS: The smartphone-delivered multicomponent LM intervention Lifestyle Hub may serve as a primary modality for managing depressive symptoms. (PsycInfo Database Record (c) 2022 APA, all rights reserved).