Evidence map›Paper›PMID 41497426›Full record

ArticleInternational journal of clinical and health psychology : IJCHP

Continuous sleep tracking in digital CBT-I: Efficacy and insights from a naturalistic-environment study.

Alexandra Hinterberger, Esther-Sevil Eigl, Aniko Szeko, Pavlos I Topalidis, Manuel Schabus

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Article in International journal of clinical and health psychology : IJCHP. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexandra HinterbergerLaboratory for Sleep, Cognition & Consciousness Research, Department of Psychology, Paris Lodron University of Salzburg, Austria.
Esther-Sevil EiglLaboratory for Sleep, Cognition & Consciousness Research, Department of Psychology, Paris Lodron University of Salzburg, Austria.
Aniko SzekoDepartment of Psychology, Sigmund Freud University Vienna, Austria.
Pavlos I TopalidisLaboratory for Sleep, Cognition & Consciousness Research, Department of Psychology, Paris Lodron University of Salzburg, Austria.
Manuel SchabusLaboratory for Sleep, Cognition & Consciousness Research, Department of Psychology, Paris Lodron University of Salzburg, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Insomnia is highly prevalent, yet few receive cognitive behavioral therapy for insomnia (CBT-I) due to limited treatment availability. Unguided digital CBT-I offers an accessible alternative to traditional face-to-face therapy. Research in this area often relies on either subjective sleep measurements (e.g., sleep diaries) or controlled single-night lab studies. This study examines the effectiveness of a novel app-based CBT-I program combining therapy with continuous subjective and objective sleep tracking via a heart rate (HR) sensor in a naturalistic setting. Methods: Eighty-eight participants (56.8 % female) aged 20-85 years (M = 49.9 ± 13.10) completed an 8-week app-based CBT-I intervention with continuous sleep tracking (sleep diaries and HR sensor), followed by a 2-week follow-up. Assessments at baseline, post-intervention, and follow-up included sleep related problems, psychological strain, quality of life, and dysfunctional beliefs. Results: Insomnia prevalence dropped from 92 % at pre-intervention to 67 % at follow-up. Improvements were observed in subjective sleep quality (p < .001, r = 0.59), dysfunctional beliefs (p < .001, r = 0.48), quality of life (p's < .002, r's > 0.33), psychological strain (p < .001, r = 0.43), depression (p = .010, r = 0.27), and anxiety (p = .003, r = 0.32). While sleep diary data showed improvements in various sleep parameters, objective data revealed statistical trends towards a reduced total sleep time (TST; p = .083, r = 0.19), driven by sleep restriction, and light sleep (p = .089, r = 0.18). Using continuous sleep monitoring we additionally found relevant changes during the intervention levels for subjective wake after sleep onset, sleep efficiency as well as objective TST. Conclusion: Findings support the effectiveness of app-based CBT-I and suggest that continuous objective sleep tracking over weeks can reveal previously undetected sleep and well-being improvements in real-world settings.

Indexed as

CBT-IDigital programInsomniaMhealthSleep tracking

Identifiers

PMID41497426
PMCPMC12766055

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.