Digital cognitive behavioural therapy for insomnia reduces insomnia in nurses suffering from shift work disorder: A randomised-controlled pilot trial.

Insomnia is a primary symptom of shift work disorder, yet it remains undertreated. This randomised-controlled pilot trial examined the efficacy of a digital, guided cognitive behavioural therapy for insomnia adapted to shift work (SleepCare) in nurses with shift work disorder. The hypothesis was that SleepCare reduces insomnia severity compared with a waitlist control condition. A total of 46 unmedicated nurses suffering from shift work disorder with insomnia (age: 39.7 ± 12.1 years; 80.4% female) were randomised to the SleepCare group or the waitlist control group. The primary outcome measure was the Insomnia Severity Index. Other questionnaires on sleep, mental health and occupational functioning, sleep diary data and actigraphy data were analysed as secondary outcomes. Assessments were conducted before (T0), after the intervention/waitlist period (T1), and 6 months after treatment completion (T2). The SleepCare group showed a significant reduction in insomnia severity from T0 to T1 compared with the control condition (ß = -4.73, SE = 1.12, p < 0.001). Significant improvements were observed in sleepiness, dysfunctional beliefs about sleep, pre-sleep arousal, sleep effort, self-reported sleep efficiency and sleep onset latency. No significant effect was found in actigraphy data. Depressive and anxiety symptoms, cognitive irritation and work ability improved significantly. Overall, satisfaction and engagement with the intervention was high. SleepCare improved insomnia severity, sleep, mental health and occupational functioning. This is the first randomised-controlled trial investigating the efficacy of digital cognitive behavioural therapy for insomnia in a population suffering from shift work disorder with insomnia. Future research should further explore these effects with larger sample sizes and active control conditions.

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.

Sleep health dimensions and shift work as longitudinal predictors of cognitive performance in the UK Biobank cohort.

STUDY OBJECTIVES: The long-term effects of sleep health and shift work on cognitive performance are unclear. In addition, research has been limited by small sample sizes and short follow-up periods. We conducted one of the largest examinations of the longitudinal influence of sleep health dimensions and shift work on cognitive performance in people of middle and old age using data from the UK Biobank. The hypothesis was that poor sleep health and shift work would predict lower cognitive performance. METHODS: Self-reported sleep duration, daytime sleepiness, insomnia symptoms, chronotype, and shift work status were assessed as predictors at baseline. Cognitive performance was operationalized by a touchscreen test battery at follow-up between 7.4 ±â€…2.2 and 9.0 ±â€…0.9 years after baseline assessment, depending on the specific task. Models were performed for each cognitive domain including relevant confounders (e.g. depression). The alpha level was set at p < 0.01 for all analyzes. RESULTS: The study sample comprised 9394 participants for the reasoning task, 30 072 for the reaction time task, 30 236 for the visual memory task, 2019 for the numeric memory task, and 9476 for the prospective memory task. Shift work without night shifts (ß = -2.0 × 10-1 ± 6.5 × 10-2, p = 0.002) and with night shifts (ß = -1.9 × 10-1 ± 7.2 × 10-2, p = 0.010) predicted a significantly reduced performance in the reasoning task. Short sleep duration (ß = -2.4 × 10-1 ± 7.9 × 10-2, p = 0.003) and shift work without night shifts (ß = -3.9 × 10-1 ± 1.2 × 10-1, p = 0.002) predicted a significantly lower performance in the task probing prospective memory. CONCLUSIONS: Our results suggest that, after controlling for confounding variables, shift work, and short sleep duration are important predictors for cognitive performance in people of middle and old age. Further work is required to examine causal mechanisms of the observed associations.

Feasibility study of a self-guided internet-based intervention for family caregivers of patients with cancer (OAse).

Despite high levels of distress, family caregivers of patients with cancer rarely seek psychosocial support and Internet-based interventions (IBIs) are a promising approach to reduce some access barriers. Therefore, we developed a self-guided IBI for family caregivers of patients with cancer (OAse), which, in addition to patients' spouses, also addresses other family members (e.g., adult children, parents). This study aimed to determine the feasibility of OAse (recruitment, dropout, adherence, participant satisfaction). Secondary outcomes were caregivers' self-efficacy, emotional state, and supportive care needs. N = 41 family caregivers participated in the study (female: 65%), mostly spouses (71%), followed by children (20%), parents (7%), and friends (2%). Recruitment (47%), retention (68%), and adherence rates (76% completed at least 4 of 6 lessons) support the feasibility of OAse. Overall, the results showed a high degree of overall participant satisfaction (96%). There were no significant pre-post differences in secondary outcome criteria, but a trend toward improvement in managing difficult interactions/emotions (p = .06) and depression/anxiety (p = .06). Although the efficacy of the intervention remains to be investigated, our results suggest that OAse can be well implemented in caregivers' daily lives and has the potential to improve family caregivers' coping strategies.