Auf dem Weg zu einem besseren Verständnis von ADS/ADHS

Schulte‐Markwort, Michael; Zinke, Michael

doi:10.1007/978-3-642-92473-6_1

Cited by 1 publication

(1 citation statement)

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“…(Topalidis et al, 2023). The sleep training is based on a manual to deliver CBT-I (Scharfenstein & Basler, 2004), presented in German language and consists of a total of six chronologically presented levels, with the requirement of completing the previous level before being able to access content of the consecutive level. Each level consists of the following elements: an information-video, providing basic sleep education, an automated chat-bot encouraging cognitive restructuring, two audio-relaxation exercises, a sleep hygiene advice as well as two blogs covering essential scientific information about sleep.…”

Section: Methodsmentioning

confidence: 99%

Investigating the subjective and objective efficacy of a cognitive behavioral therapy for insomnia (CBT-I)-based smartphone app on sleep: a randomized controlled trial

Hinterberger,

Eigl,

Schwemlein

et al. 2023

Preprint

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Due to insufficient treatment options for sleep disorders, effective solutions are urgently needed. We evaluate the effects of a CBT-I-based app combining sleep training with subjective and objective sleep monitoring on i) sleep and ii) subjective-objective sleep discrepancies (SOSD) as known for insomnia. Fifty-seven volunteers (20-76 years; MAge=45.67±16.38; 39 female) suffering from sleep problems were randomly assigned to an experimental group (EG, n=28) or a waitlist control group (CG, n=29). During the 6-week app phase, the EG used the CBT-I-based program and a heart-rate sensor for daily sleep monitoring and -feedback, while the CG used the sleep monitoring only. Sleep was measured i) subjectively via questionnaires (Insomnia Severity Index, ISI; Pittsburgh Sleep Quality Index, PSQI), ii) objectively via ambulatory polysomnography (PSG), and iii) continuously via heart-rate sensor and sleep diaries during the app phase. Data revealed interactions for ISI (p=.003) and PSQI (p=.050), indicating training-specific improvements in EG, yet not in CG. While PSG-derived outcomes generally appear to be less training-specific, a statistical trend towards a reduction in WASO was found in EG (p=.061). Regarding changes in SOSD, results indicate improvements during app phase (EG) for SE, SOL and WASO (p’s ≤.022); for TST both groups show a SOSD reduction. The findings indicate beneficial effects of a novel smartphone app on sleep and SOSD. More scientific evaluation of such digital programs is needed and should ultimately help to reduce the gap in non-pharmacological treatment care for insomnia.

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Section: Methodsmentioning

confidence: 99%