Bipolar disorder (BD) is a major mood disorder that is characterized by manic and depressive symptoms which fluctuate in severity and over time. The affective burden of the illness is compounded by cognitive, psychosocial, and occupational dysfunction, along with increased rates of suicide, medical comorbidity, and premature mortality. [1][2][3][4][5][6][7] Current guidelines for the management of BD include treatments that are limited by suboptimal efficacy rates, medication intolerance, delayed onset of action, iatrogenic mood switches, and variable patient acceptability. There is a pressing public health need for measures to combat these shortcomings. The fields of chronobiology and chronotherapy offer alternative treatment strategies which may address these limitations. The primary aim of this project was to systematically review efficacy and tolerability evidence of the major chronotherapies for BD and propose practice recommendations based on this review. This commences with a brief introduction to chronobiology to provide a rudimentary overview of the basic science which underlies this field of treatment. | Introduction to the circadian systemThe basic science of chronobiology is the study of biological rhythms, biological timekeeping systems, and their effects on human health and disease. 8 The human time-keeping system is a strongly conserved, phylogenetically ancient, hierarchically organized, and open neurobiological network. It evolved to enable organisms to anticipate and coordinate their internal physiology
Background Although several large-scale randomised controlled trials have shown the efficacy of digital cognitive behavioural therapy for insomnia (dCBT-I), there is a need to validate widespread dissemination of dCBT-I using recommended key outcomes for insomnia. We investigated the effect of a fully automated dCBT-I programme on insomnia severity, sleep-wake patterns, sleep medication use, and daytime impairment.Methods We did a parallel-group superiority randomised controlled trial comparing dCBT-I with online patient education about sleep. The interventions were available through a free-to-access website, publicised throughout Norway, which incorporated automated screening, informed consent, and randomisation procedures, as well as outcome assessments. Adults (age ≥18 years) who had regular internet access and scored 12 or higher on the Insomnia Severity Index (ISI) were eligible for inclusion, and were allocated (1:1) to receive dCBT-I (consisting of six core interactive sessions to be completed over 9 weeks) or patient education (control group). Participants were masked to group assignment and had no contact with researchers during the intervention period. The primary outcome was the change in ISI score from baseline to 9-week follow-up, assessed in the intention-to-treat population. This trial is registered with ClinicalTrials.gov (NCT02558647) and is ongoing, with 2-year follow-up assessments planned.
Study objectives Blue-depleted lighting reduces the disruptive effects of evening artificial light on the circadian system in laboratory experiments, but this has not yet been shown in naturalistic settings. The aim of the current study was to test the effects of residing in an evening blue-depleted light environment (LE) on melatonin levels, sleep, neurocognitive arousal, sleepiness and potential side-effects. Methods The study was undertaken in a new psychiatric hospital unit where dynamic light sources were installed. All light sources in all rooms were blue-depleted in one half of the unit between 1830h and 0700h (melanopic lux range: 7 – 21, melanopic equivalent daylight illuminance range (M-EDI): 6-19, photopic lux range: 55-124), whereas the other had standard lighting (melanopic lux range: 30-70, M-EDI range: 27-63, photopic lux range: 64-136), but was otherwise identical. Twelve healthy adults resided for five days in each light LE in a randomized cross-over trial. Results Melatonin levels were less suppressed in the blue-depleted LE (15%) compared with the normal LE (45%) (p=0.011). DLMO was phase advanced more (1:20h) after residing in the blue-depleted LE than after the normal LE (0:46h) (p=0.008). Total sleep time was 8.1 minutes longer (p=0.032), REM sleep 13.9 minutes longer (p<0.001), and neurocognitive arousal was lower (p=0.042) in the blue-depleted LE. There were no significant differences in subjective sleepiness (p=0.16) or side-effects (p=0.09). Conclusion It is possible to create an evening light environment that has an impact on the circadian system and sleep without serious side-effects. This demonstrates the feasibility and potential benefits of designing buildings or hospital units according to chronobiological principles and provide a basis for studies in both non-clinical and clinical populations.
This study examined whether 49 patients from a randomized controlled trial developed insight during therapy and whether insight predicted long-term outcome in short-term dynamic psychotherapy (STDP) and cognitive therapy (CT) for Cluster C personality disorders. Videotaped sessions early and late in treatment were analyzed using the Achievement of Therapeutic Objectives Scale. Patients' level of insight increased significantly during STDP but not CT. After controlling for early symptom change and early insight, insight near the end of therapy predicted improvement of symptom severity and interpersonal functioning during a 2-year follow-up period. These results support the theoretical assumption that insight may be a factor in the change process, central to STDP. Within CT, gain of insight did not predict long-term improvement.
Improvement in insomnia severity had a significant impact on both improvement in fatigue and the ability to recover from a stressful situation. Insomnia severity may be a maintaining factor in chronic fatigue and specifically targeting this in treatment could increase treatment response.
Acceptance and commitment therapy (ACT) has never been tested for patients with chronic fatigue. We aimed to test if a 3.5-week ACT rehabilitation program for patients with chronic fatigue improved quality of life (QoL), fatigue, and psychological flexibility. Further, to test if improvements in QoL and fatigue were associated with improvement in psychological flexibility, and if psychological flexibility explained variance above and beyond maladaptive cognitions typically targeted in CBT for fatigue. Patients (n = 140) who had been on sick leave > 8 weeks due to chronic fatigue received a 3.5-week non-controlled inpatient rehabilitation program based on ACT. A physician and a psychologist examined the patients, assessing medication use and SCID-I diagnoses. Patients completed questionnaires about somatic complaints, psychological complaints, and maladaptive cognitions before and after treatment. At post-treatment, patients reported improved QoL (p < 0.001; g = 1.07) and less fatigue (p < 0.001; g = 1.08), but not increased psychological flexibility (p = 0.6). Changes in psychological flexibility was associated with improved QoL, but not fatigue, in hierarchical regression analyses. When adjusting for other cognitions, changes in fear-avoidance cognitions and all-or-nothing thoughts, but not psychological flexibility, were associated with improved QoL and fatigue. The ACT-based treatment improved QoL and reduced fatigue for patients with chronic fatigue with large effect sizes. Improvement was associated with a reduction in fear-avoidance cognitions and all-or-nothing thoughts, but not psychological flexibility.
The effects of mild–moderate partial sleep deprivation on affective and cognitive functioning were evaluated in a naturalistic home environment, mimicking short sleep typically caused by demands from work or society. A total of 52 healthy individuals aged 18–35 was included in an 11-day study protocol. Participants slept at home, and sleep patterns were observed using actigraphs and sleep diaries. After maintaining habitual sleep for 7 days, the participants were asked to sleep 2 hours less than their average sleep duration for the last three nights of the study protocol. A not-X continuous performance test was administered at 9 am (± 90 minutes) on days 1, 4, 8 (habitual sleep), 9 and 11 (sleep deprivation). Performance-based measures included response accuracy and speed. Participant-reported measures included how well the participants felt they performed and how exhausted they were from taking the test, as well as positive and negative affect. There was a significant change in reaction time, number of commission errors, subjective performance, subjective exertion, and positive affect across the visits. Specifically, there was a linear decrease in reaction time, performance, and positive affect throughout the study, and a significant quadratic trend for commissions and exertion (first decreasing, then increasing after sleep deprivation). The univariate tests for omissions and negative affect were not significant. We conclude that sleeping 1.5–2 hours less than usual leads to faster response speed, but more commission errors and decreased positive affect. This indicates that individuals become more impulsive and experience less positive affect after a period of short sleep.
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