Does providing feedback and guidance on sleep perceptions using sleep wearables improve insomnia? Findings from "Novel Insomnia Treatment Experiment": a randomized controlled trial
- Author(s)
- Spina, MA; Andrillon, T; Quin, N; Wiley, JF; Rajaratnam, SMW; Bei, B;
- Details
- Publication Year 2023-09-08,Volume 46,Issue #9,Page zsad167
- Journal Title
- Sleep
- Publication Type
- Research article
- Abstract
- STUDY OBJECTIVES: Insomnia is a disorder diagnosed based on self-reported sleep complaints. Differences between self-reported and sensor-based sleep parameters (sleep-wake state discrepancy) are common but not well-understood in individuals with insomnia. This two-arm, parallel-group, single-blind, superiority randomized-controlled trial examined whether monitoring sleep using wearable devices and providing support for interpretation of sensor-based sleep data improved insomnia symptoms or impacted sleep-wake state discrepancy. METHODS: A total of 113 (age M = 47.53; SD = 14.37, 64.9% female) individuals with significant insomnia symptoms (Insomnia Severity Index(ISI) >/=10) from the community were randomized 1:1 (permuted block randomization) to receive 5 weeks (1) Intervention (n = 57): feedback about sensor-based sleep (Fitbit and EEG headband) with guidance for data interpretation and ongoing monitoring, and (2) Control (n = 56): sleep education and hygiene. Both groups received one individual session and two check-in calls. The ISI (primary outcome), sleep disturbance (SDis), sleep-related impairment (SRI), depression, and anxiety were assessed at baseline and post-intervention. RESULTS: In total, 103 (91.2%) participants completed the study. Intention-to-treat multiple regression with multiple imputations showed that after controlling for baseline values, compared to the Control group (n = 51), the Intervention group (n = 52) had lower ISI (p = .011, d = 0.51) and SDis (p = .036, d = 0.42) post-intervention, but differences in SRI, depression, anxiety, and sleep-wake state discrepancy parameters (total sleep time, sleep onset latency, and wake after sleep onset) were not meaningful (P-values >.40). CONCLUSIONS: Providing feedback and guidance about sensor-based sleep parameters reduced insomnia severity and sleep disturbance but did not alter sleep-wake state discrepancy in individuals with insomnia more than sleep hygiene and education. The role of sleep wearable devices among individuals with insomnia requires further research. CLINICAL TRIAL REGISTRATION: The Novel Insomnia Treatment Experiment (NITE): the effectiveness of incorporating appropriate guidance for sleep wearables in users with insomnia. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378452, Australia New Zealand Clinical Trials Registry: ACTRN12619001636145.
- Publisher
- Oxford University Press
- Keywords
- Humans; Female; Male; *Sleep Initiation and Maintenance Disorders/complications/therapy; Feedback; Single-Blind Method; Sleep; Polysomnography; Treatment Outcome; Dreem; Fitbit; Insomnia; Sleep-wake estimation; Sleep-wake state discrepancy
- Department(s)
- Psychosocial Oncology
- PubMed ID
- 37294865
- Publisher's Version
- https://doi.org/10.1093/sleep/zsad167
- Open Access at Publisher's Site
https://doi.org/10.1093/sleep/zsad167- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2023-11-21 05:54:34
Last Modified: 2023-11-21 05:55:40