Affiliation:
1. Laboratory for Sleep, Cognition & Consciousness Research University of Salzburg Salzburg Austria
2. Centre for Cognitive Neuroscience Salzburg (CCNS) University of Salzburg Salzburg Austria
Abstract
SummaryDue to insufficient treatment options for insomnia, effective solutions are urgently needed. We evaluated 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). 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 programme and a heart rate sensor for daily sleep monitoring and ‐feedback, while the CG used 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. Data revealed interactions for ISI (p = 0.003, ƞ2part = 0.11) and PSQI (p = 0.050, ƞ2part = 0.05), indicating training‐specific improvements in EG, yet not in CG. While PSG‐derived outcomes appear to be less training‐specific, a tendential reduction in wake after sleep onset (WASO) was found in EG (p = 0.061, d = 0.55). Regarding changes in SOSD, the results indicate improvements during the app phase (EG) for sleep efficiency, sleep onset latency, and WASO (p ≤ 0.022, d ≥ 0.46); for total sleep time both groups showed a SOSD reduction. The findings indicate beneficial effects of a novel smartphone app on sleep and SOSD. More scientific evaluation of such digital programmes is needed to ultimately help in reducing the gap in non‐pharmacological insomnia treatment.
Subject
Behavioral Neuroscience,Cognitive Neuroscience,General Medicine
Cited by
1 articles.
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