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.

Effects of a group-based lifestyle medicine for depression: A pilot randomized controlled trial.

Given the growing evidence that a range of lifestyle factors are involved in the etiology of depression, a 'lifestyle medicine' approach can be potentially safe and cost-effective to prevent or treat depression. To examine the effects and acceptability of a group-based, integrative lifestyle medicine intervention as a standalone treatment for managing depressive symptoms, a pilot randomized controlled trial (RCT) was conducted in a Chinese adult population in 2018. Participants (n = 31) with PHQ-9 score above the cut-off of ≥ 10, which was indicative of moderate to severe depression, were recruited from the general community in Hong Kong and randomly assigned to lifestyle medicine group (LM group) or care-as-usual group (CAU group) in a ratio of 1:1. Participants in the LM group received 2-hour group sessions once per week for six consecutive weeks, which covered diet, exercise, mindfulness, psychoeducation, and sleep management. Linear mixed-effects model analyses showed that the LM group had a significant reduction in PHQ-9 scores compared to the CAU group at immediate posttreatment and 12-week posttreatment follow-up (d = 0.69 and 0.73, respectively). Moreover, there were significantly greater improvements in anxiety, stress, and insomnia symptoms (measured by DASS-21 and ISI) at all time points in the LM group (d = 0.42-1.16). The results suggests that our 6-week group-based, integrative lifestyle intervention program is effective in lowering depressive, anxiety, stress, and insomnia symptoms in the Chinese population. Further studies in clinical populations with a larger sample size and longer follow-up are warranted.

Assessment of fatigue using the Multidimensional Fatigue Inventory in patients with major depressive disorder.

OBJECTIVES: There are problems with the fatigue measures currently used in depressed patients. The Multidimensional Fatigue Inventory (MFI-20) covering general fatigue, physical fatigue, mental fatigue, reduced activity and reduced motivation has been widely used in patients with cancer and chronic fatigue syndrome. To address the multidimensional nature of fatigue, we examined the validity and reliability of a Chinese version of the MFI-20 in major depressive disorder (MDD). METHODS: Data were derived from a randomized controlled trial of acupuncture in 137 patients with partially remitted MDD. The test-retest reliability, internal consistency, construct and concurrent validity and sensitivity to change of the MFI-20 were analyzed. RESULTS: The MFI-20 was found to have good internal consistency (Cronbach's alpha=0.89) and 1-week test-retest reliability (Pearson correlation of the total score=0.73). Factor analysis showed 5 factors, but the factor structure was different from that in medical conditions. The 2 most prominent factors, explaining 46% of the total variance, were both associated with physical and mental energy but different in directions. There were adequate concurrent validity and sensitivity to change as evidenced by the significant correlations between the MFI-20 scores and depressive and anxiety symptoms, general health and quality of life. CONCLUSION: The Chinese MFI-20 is a valid and reliable instrument for the assessment of fatigue in MDD patients with residual symptoms. The construct of fatigue in MDD seems to be different from that in medical conditions. Further studies are needed to examine the MFI-20 in MDD patients from other cultures.

Exploring the recovery concept in bipolar disorder: a decision tree analysis of psychosocial correlates of recovery stages.

OBJECTIVES: The recovery movement has generated interest in the concept of personal recovery, but little attention has been paid to it in relation to bipolar disorder (BD). The aim of this study was to examine personal recovery in BD using a staged model, exploring whether different stages are associated with different psychosocial and clinical profiles. METHODS: Adults with BD in remission (n = 75) were recruited from an outpatient psychiatric clinic in Hong Kong. Their average age was 45 years, with 11% and 45% working part time and full time, respectively. The data included stages of recovery, sociodemographic characteristics, clinical information, and perceptions of the importance of recovery factors and the resilience-engendering features of health services. Decision tree analysis was used to identify the predictors of stages of recovery, and receiver operating characteristic curves were employed to detect the rates of correct classification within the staged model. RESULTS: 'Respect, hope, and self-directed empowerment', older age, binge drinking history, early first diagnosis, and 'meaningful role' were all associated with being in a later stage of personal recovery. The first two variables demonstrated better classification accuracy than the last three. Using these variables, the classification accuracy of Stages 2-4 was adequate. CONCLUSIONS: There are associations between the stage of recovery and psychosocial variables among individuals with BD in remission. Interventions that promote 'respect, hope, and self-directed empowerment' have the potential to facilitate personal recovery from BD.