Abstract
Purpose: Given rising numbers in sleep disorders like
insomnia and insufficient availability of treatment options, the need
for well-validated digital interventions rises. This pilot study aims at
assessing the feasibility of an app-program which combines
sleep-training based on core elements of Cognitive Behavioural Therapy
for Insomnia (CBT-I) with reliable sleep-monitoring based on heart rate
variability via an ECG-sensor.
Patients and Methods: About 48 participants (26 females) aged 30– 73 (M = 50.33 ± 11.88) were included in the study. At the beginning of the baseline (T0), at start (T1) and end (T2) of the 6-week training phase as well as 4 weeks after the end of the program (T3; follow-up) several questionnaires assessing sleep quality, insomnia severity, general psychological symptom severity, depression, anxiety as well as quality of life were completed. Furthermore, ambulatory polysomnography (PSG) was conducted three times at T0, T1 and T2. General feasibility was assessed by conducting interviews.
Results: Overall, the app-program as well as the study protocol was deemed as feasible according to the participants, besides some difficulties regarding app-instructions and certain technical issues, as well as some expected complaints about worse sleep quality during PSG-recordings. For statistical results, insomnia severity (p < 0.001, r = 0.67), sleep quality (p < 0.001, r = 0.56), general psychological symptom severity (p < 0.001, r = 0.68), depression (p = 0.002, r = 0.50) and anxiety (p < 0.001, r = 0.60) improved significantly during the training phase, while quality of life [physical (p = 0.014, r = 0.41) and psychological health (p = 0.049, r = 0.35)] improved significantly during the follow-up-period. PSG data revealed a significant decrease in Wake After Sleep Onset over the course of the study (p = 0.025, r = 0.36), yet no significant changes were found for other sleep parameters.
Conclusion: The app-program was largely feasible and potentially effective in improving sleep and well-being. PSG-derived WASO changes highlight the value of objective sleep measures. Future studies should refine protocols and include control conditions for greater generalizability.
Patients and Methods: About 48 participants (26 females) aged 30– 73 (M = 50.33 ± 11.88) were included in the study. At the beginning of the baseline (T0), at start (T1) and end (T2) of the 6-week training phase as well as 4 weeks after the end of the program (T3; follow-up) several questionnaires assessing sleep quality, insomnia severity, general psychological symptom severity, depression, anxiety as well as quality of life were completed. Furthermore, ambulatory polysomnography (PSG) was conducted three times at T0, T1 and T2. General feasibility was assessed by conducting interviews.
Results: Overall, the app-program as well as the study protocol was deemed as feasible according to the participants, besides some difficulties regarding app-instructions and certain technical issues, as well as some expected complaints about worse sleep quality during PSG-recordings. For statistical results, insomnia severity (p < 0.001, r = 0.67), sleep quality (p < 0.001, r = 0.56), general psychological symptom severity (p < 0.001, r = 0.68), depression (p = 0.002, r = 0.50) and anxiety (p < 0.001, r = 0.60) improved significantly during the training phase, while quality of life [physical (p = 0.014, r = 0.41) and psychological health (p = 0.049, r = 0.35)] improved significantly during the follow-up-period. PSG data revealed a significant decrease in Wake After Sleep Onset over the course of the study (p = 0.025, r = 0.36), yet no significant changes were found for other sleep parameters.
Conclusion: The app-program was largely feasible and potentially effective in improving sleep and well-being. PSG-derived WASO changes highlight the value of objective sleep measures. Future studies should refine protocols and include control conditions for greater generalizability.
| Original language | English |
|---|---|
| Pages (from-to) | 2369-2385 |
| Number of pages | 17 |
| Journal | Nature and Science of Sleep |
| Volume | 17 |
| DOIs | |
| Publication status | Published - 29 Sept 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- insomnia
- CBT-I
- prevention
- feasibility
- digital intervention
- app-program
Fields of Science and Technology Classification 2012
- 501 Psychology
Projects
- 2 Finished
-
Virtuelles Schlaflabor (VSL): Das virtuelle Schlaflabor: Digitale Schlafanalyse & Schlaf-Coaching X
Schabus, M. (Principal Investigator), Bathke, A. (Co-Investigator), Borgelt, C. (Co-Investigator), Heib, D. P. J. (Co-Investigator) & Stöggl, T. (Co-Investigator)
1/10/20 → 31/08/22
Project: Research
-
Doktoratskolleg Imaging the Mind: Connectivity and Higher Cognitive Function
Schabus, M. (Principal Investigator), Wilhelm, F. (Co-Investigator), Blechert, J. (Co-Investigator), Hödlmoser, K. (Co-Investigator), Hutzler, F. (Co-Investigator), Jonas, E. (Co-Investigator), Perner, J. (Co-Investigator), Weisz, N. (Co-Investigator), Pletzer, B. A. (Co-Investigator) & Kronbichler, M. (Co-Investigator)
1/03/19 → 31/08/24
Project: Research
Research output
- 1 Preprint
-
The effects of a CBT-I based app-program on sleep quality, insomnia severity, psychological strain and quality of life: A first efficacy study
Eigl, E.-S., Hinterberger, A., Topalidis, P. & Schabus, M., 7 Aug 2023, Research Square, 11 p.Research output: Working paper/Preprint › Preprint
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