[Does a short telemedicine-based CBT programme for insomnia lead to changes in dysfunctional beliefs about sleep?] / Un programme court de TCCi en groupe par visioconférence dans l'insomnie modifie-t-il les croyances erronées ?

INTRODUCTION: The Morphee Sleep network runs a short group CBT programme. During the pandemic, the programme was administered by videoconference. The programme focuses on behavioral modification. The objective of our study was to evaluate whether the videoconference programme produced changes in dysfunctional beliefs about sleep and whether these changes were linked to improvements in insomnia. METHODS: Observational study of 3×90minute sessions of group CBT by videoconference over one month delivered by experienced psychologists. The outcome measures : insomnia severity scale (ISI), dysfunctional beliefs and attitudes about sleep short version (DBAS 16), hospital anxiety and depression scale (subscales depression HADD and anxiety HADA), and epworth sleepiness scale (ESS) completed before session 1 and at the end of session 3. The effectiveness of the programme on insomnia was evaluated by the decrease in the ISI score : full response R+ (>7 points), partial response, R- (4 - 6 points) non response, NR (<3 points). The effect on dysfunctional beliefs and attitudes about sleep were measured by the decrease in the DBAS 16 with response CR (>9 points) and no response CNR (<9 points). RESULTS: There were fifty-five participants, 64 % women with a mean age of 49.1±16.1 years. The DBAS 16 was reduced by 6.12±1.29 to 5.09±1.57 (P< 0.0001) with 67 % of participants showing a response CR. The ISI score reduced from 17.7±3.6 to 14.0±4.9 (P< 0.0001) with 49 % showing at least a partial response (R+ and R-). A significant correlation (0.327, P=0.015) between the CBT response and dysfunctional beliefs about sleep was observed with a significant reduction in the DBAS 16 between responders R+ and non-responders (R+ vs. NR 1.67±1.3 vs. 0.57±1.28 P=0.012). Seventy-nine of R+ showed improvements in the DBAS 16 vs. 69 % of R- and 61 % of non-responders NR. CONCLUSION: A short group CBT programme by videoconference focused on behavioral modification can reduce dysfunctional beliefs about sleep.

[The effects of quarantine for SARS-CoV-2 on sleep: An online survey]. / Les effets de confinement SARS-CoV-2 sur le sommeil : enquête en ligne au cours de la quatrième semaine de confinement.

OBJECTIVES: Explore the evolution of sleep during the SARS-CoV-2 quarantine period and define associated factors. METHODS: An online survey of patients in quarantine. Questions targeted the conditions of quarantine, sleep related behaviours and exposure to factors known to affect sleep and circadian rhythms (light exposure and sport). RESULTS: In all, 1777 participants were included: 77% women and 72% aged 25-54 years. Quarantine conditions were most frequently in couples with children (36%) and in a house with a garden (51%). Forty-seven percent of participants reported a decrease in sleep quality during quarantine. Factors associated with a reduction in sleep quality by logistic regression were sleep reduction (OR 15.52 P<0.001), going to bed later (OR 1.72 P<0.001), getting up earlier (2.18 P=0.01), an increase in sleep-wake irregularity (OR 2.29 P<0.001), reduced exposure to daylight (OR 1.46 P=0.01) and increased screen use in the evenings (OR 1.33 P=0.04). CONCLUSION: Sleep quality tended to reduce during quarantine and this was associated with changes in sleep behaviours and light exposure, especially in the evening. In order to optimise sleep during quarantine, regular sleep and wake times, at least 1hour exposure to daylight and a reduction of screen use in the evenings are suggested.

[The use of social media modifies teenagers' sleep-related behavior]. / Nouveaux médias sociaux, nouveaux comportements de sommeil chez les adolescents.

OBJECTIVE: Modification of sleep behaviors in teenagers has been observed over the past 30years with a reduction in overall sleep time and an increasing number of teenagers suffering from sleep deprivation. Sleep deprivation is linked to physical problems such as obesity but also to change in performance at school and mood disorders. Changes have been associated with the use of screens, cell phones, Internet and social media. Use of screens has been shown to delay sleep onset and melatonin secretion and stimulation of wake systems by interaction with social media may exacerbate these effects. The links between the use of social media and sleep patterns have not been fully explored. Our study aimed to evaluate the effects of social media on teenagers' sleep and the impact of sleep deprivation. METHODOLOGY: As part of a sleep education program conducted in middle schools, teenagers from 6th to 9th grade were invited to complete an online questionnaire on sleep habits with teacher supervision and after parental consent. Outcome measures were sleep and wake times with estimated sleep duration in school (SP) and rest periods (RP), use of screens (computers, tablets, smartphones and video game consoles), the use of social media and impact on visual analogue scales of sleep quality, mood and daytime functioning. Students were divided into those with clear sleep deprivation (sleep time<6hours in SP) and those whose sleep time was in line with the National Sleep Foundations recommended sleep needs for teenagers (9hours or more). RESULTS: A total of 786 questionnaires were completed and 776 were exploitable. Four schools took part with 408/786 girls (64.2 %) and a mean age of 12.4±1.24. Internet access was almost universal (98.3 %), 85.2 % had cell phones and 42.7 % had a personal computer in their bedroom. Social media was used by 64.6 %. After dinner, 52.6 % spent more than an hour and 14.7 % spent more than 2hours in front of a screen. After bedtime, 51.7 % regularly used electronic devices of which 25.6 % had a screen-based activity (e.g. texts, social media, video games or television). During the night, some teens woke up to continue screen-based activities: 6.1 % in order to play online video games, 15.3 % to send texts and 11 % to use social media. Bedtimes were later in PR compared with PS (22h06±132 vs. 23h54±02; P<0.0001) as were wake times (7h06±36 vs. 10h06±102; P<0.0001). Sleep time was clearly longer in PR (10h12±126 P<0.0001) compared to PS. For students in 6th grade compared to 9th grade in sleep duration in SP decreased (8:55±90 vs. 7:25±93; P<0.0001), whereas sleep duration during RP was stable (10h08±118 vs. 10h08±90 P<0.029). No significant difference was found between girls and boys for sleep duration, sleep quality, performance during the day or mood. Sleep deprivation during the week (6hours or less) was less common in 6th graders 5 % vs. 15 % (P<0.0001). In sleep deprived teens compared to teens sleeping, the recommended ≥9hours, difficulties falling asleep were reported with 33 % vs. 9 % taking over an hour to fall asleep (P<0.0001) and difficulties getting up in the morning were more common (7.05±3.27 vs. 5.74±2.97; P=0.0003). Sleep deprivation had an effect on daytime performance: teenagers deprived of sleep were more likely to report a need to fight sleepiness, (5.93±3.24 vs. 2.84±2.44 P<0.0001) and had reduced energy during the day (6.21±2.86 vs. 7.77±2.07 P<0.0001). A negative effect on mood was evident: in sleep, deprived teenagers irritability (5.28±3.12 vs. 3.30±2.34; P<0.0001) and feelings of sadness (3.97±2.99 vs. 2.59±2.15; P=0.003) were more common. There was a clear association between sleep deprivation and access to screens and social media: sleep deprived teens were at more risk of nocturnal disruption with a higher prevalence of computers (67 % vs. 33 %; P<0.0001), cell phones (99 % vs. 80 %; P=0.0001) and smart phones (85 % vs. 66 %; P=0.0001) in their bedrooms. CONCLUSIONS: Access to social media and especially a cell phone in teenagers' bedrooms is associated with a reduction in sleep time during the school week with negative effects on daily functioning and mood which increases with increasing age. Education about use of social media and sleep for teenagers needs to start early as modifications in sleep and evening use of screens was present on our population from 11years on and to involve parents as setting parent controlled bedtimes has been shown to increase teenage sleep time.

Self-referral to group cognitive behavioural therapy: Is it effective for treating chronic insomnia?

OBJECTIVES: To evaluate the effectiveness of a short (3 session) programme of group cognitive behavioural therapy (CBT) on insomnia, sleepiness and symptoms of anxiety and depression. METHODS: Prospective observational study of group CBT with follow-up at 3 months. Participants were self-referred patients with chronic insomnia. Outcome measures were the insomnia severity scale (ISI), the Epworth sleepiness scale (ESS), depression (Pichot scale), and the number of anxiety symptoms. RESULTS: Participation in CBT was offered to 489 patients of whom 474 completed the programme and 154 were followed up at 3 months. Significant improvements in insomnia were seen: ISI score (17.74-14.27, P<0.0001) after CBT and at follow-up (13.78, P<0.0001). At the end of CBT, 76% (59/78) with initial severe insomnia and 52% (132/255) with moderate insomnia were improved, maintained at 3 months in 71% (15/21) with severe insomnia and 56% (50/90) with moderate insomnia. Depression and anxiety symptoms were significantly improved: mean depression symptoms (4.15-3.35, P<0.0001) and anxiety symptoms (4.52-3.95, P<0.0001), maintained at 3 months with mean depression symptoms (3.17, P<0.0001) and mean anxiety symptoms (3.62, P<0.0001). Sleepiness increased between baseline and the end of the group (6.67-7.24, P=0.015) followed by a reduction at 3 months (7.19-6.34 at 3 months, P=0.001). Initial ISI score but neither sex nor age were predictive of outcome. CONCLUSIONS: A short programme of CBT can improve sleep, depression and anxiety symptoms in self-referred patients suffering from chronic insomnia with good adherence and maximum benefit in patients with severe insomnia.