Authors consider one of the popular models of the pathogenesis of chronic insomnia--"3P" model. It explains the origin and course of insomnia on the basis of interaction of three factors: predisposing, precipitating and perpetuating. The role of each group of factors and its connection to the cerebral hyperarousal state is discussed. Different variants of cognitive-behavioral therapy and pharmacological treatment of chronic insomnia are described.

Background: Internet-delivered cognitive-behavior treatment for insomnia (iCBT-I) has the potential to fill the gap created by the discrepancy between insomnia cases and number of trained professionals. Although the effectiveness of this method was proven in multiple studies conducted in research settings, its feasibility in routine care is still unclear. Predictors, mediators, and moderators of treatment effect remain uncertain since previous studies often give contradictory results. The present study aims to investigate clinical effectiveness and cost-effectiveness of an internet-based CBT-I program Sleepsy in comparison with care as usual (CAU) among patients with CI recruited from clinical settings. Baseline data will be further analyzed to find predictors of treatment outcome. Methods/Design: The proposed study is a parallel-group randomized controlled trial comparing CAU plus iCBT-I with CAU in a clinical setting. One hundred ten participants will be referred from the medical doctors in Moscow. Both groups will have access to CAU, which corresponds to the treatment prescribed by the referring doctor. Patients of the first group will additionally get access to the iCBT-I program with the opportunity to contact a specialist (guidance on request) in a secured environment. The primary outcome is insomnia severity change from pre- to post-treatment. Secondary outcomes include change of subjective sleep characteristics, life quality, fatigue, daytime sleepiness, comorbid affective disorders, dysfunctional beliefs about sleep, sleep hygiene, healthcare consumption, productivity losses, and longer term outcomes at 3 months follow-up. Predictor analysis will include baseline scores of the aforementioned outcomes along with treatment expectancies and personality traits. Discussion: The proposed study is one of the first studies evaluating whether iCBT-I also works in routine care. We expect that recruitment of the participants let us determine the target group more precisely and exclude health problems interfering with treatment. Using CAU as control condition may result in a loss of power to detect a meaningful difference. Nevertheless, this approach is reasonable since it reconstructs the clinical situation faced by practicing doctors.

Due to the processes of globalization and transition to the information society their negative effects started to become apparent, namely virtually unlimited access to an abundance of information. Information overload occurs when the amount of information exceeds the perceptual abilities of accepting human being. It questions the impact of this process on health and sleep. Such phenomena as mind scrolling, communicative overload, distrust of digital security, cyber violence, digital inequality as mediators or consequences of information overload are considered. This article reviews the types of the information overload, ways of disseminating information, mechanisms of influence on the self-rated health and psychological condition and sleep, connections with anxiety and depression. This subject became especially relevant in the context of COVID-19 pandemic, since isolation, restriction of motor activity, and increased time spent behind the screen have become important predictors not only of sleep disorders, but also of other health problems. The article addresses the issue of subjects of studies are usually teenagers and people under 35 (generation Z), as the most active smartphones, messengers, social networks and mass media users. The problem of providing unfair information to users of social networks of different regions of residence, socio-economic levels is raised. Most scientists agree that the ways to solve the described problems are to limit the time behind the screen, the amount of content consumed per day, and compliance with sleep hygiene. Additional studies are required to determine the exact pathophysiological mechanisms of the effect of stress on sleep.

Introduction: Delivering cognitive behavioral therapy for insomnia over the internet bears the advantage of accessibility and uptake to many patients suffering from chronic insomnia. In the current study, we aimed to investigate the effectiveness of internet-based cognitive behavioral therapy for insomnia (iCBT-I) in routine care.Materials and methods: We conducted a two-arm non-blinded randomized controlled trial with care as usual (CAU) as a control condition. Participants were recruited in a specialized outpatient sleep medicine department. Both arms had access to other healthcare resources, and the intervention group had access to the iCBT-I program for 2 months. The primary outcome was insomnia severity, measured by the Insomnia Severity Index (ISI). Secondary outcomes were fatigue severity, daytime sleepiness, affective symptoms, dysfunctional beliefs and attitudes about sleep, sleep locus of control, sleep hygiene, sleep efficiency (SE), sleep onset latency, wake time after sleep onset (WASO), and total sleep time (TST). Linear mixed models for repeated measures were used to analyze the longitudinal data at baseline, post-treatment, and after 3 months of follow-up. The trial was registered at www.clinicaltrials.gov (NCT04300218 21.04.2020).Results: The results showed a significant time*group interaction effect (p = 0.001) at post-treatment with between-group effect size (d = 0.51), indicating that the ISI decreased by a score of 3.8-fold in the iCBT-I group than in the CAU group. There was no significant difference in ISI between groups at follow-up. Regarding secondary outcomes, dysfunctional beliefs about sleep, SE, and WASO decreased significantly during treatment in the intervention group with between-group effect sizes d = 0.35, d = −0.51, and d = 0.47, respectively. At the follow-up, between-group effects on DBAS and SE remained significant: d = 0.36 and d = −0.63, respectively. For TST, we observed a significant time*group effect of d = −0.38 only after follow-up.Conclusion: Our findings suggest that iCBT-I has a significant effect on insomnia severity at post-treatment compared to CAU. iCBT-I further improved dysfunctional beliefs about sleep and improved subjective sleep characteristics, such as SE, WASO, and TST during 3 months after treatment.Clinical trial registration: www.clinicaltrials.gov, identifier (NCT04300218).

Medical article медицинская статья

Understanding which factors predict the outcome of internet-based cognitive behavioral therapy for insomnia (iCBT-I) may help to tailor this intervention to the patient’s needs. We have conducted a secondary analysis of a randomized, controlled trial comparing a multicomponent iCBT-I (MCT) and an online sleep restriction therapy (SRT) for 83 chronic insomnia patients. The difference in the Insomnia Severity Index from pre- to post-treatment and from pre-treatment to follow-up at 6 months after treatment was the dependent variable. Prognostic and treatment-predictive factors assessed at baseline were analyzed with multiple linear regression. The shorter duration of insomnia, female gender, high health-related quality of life, and the higher total number of clicks had prognostic value for a better outcome. Other factors were found to be prognostic for outcome at the follow-up assessment: treatment with benzodiazepines, sleep quality, and personal significance of sleep problems. A high level of dysfunctional beliefs and attitudes about sleep (DBAS) was a moderator for better effects in the MCT at post-treatment assessment. Various prognostic factors (e.g., duration of insomnia, gender, or quality of life) may influence the success of treatment. The DBAS scale may be recommended to select patients for MCT rather than SRT.