This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (4018) Registered Report (791) Insomnia and Sleep Hygiene (248) Sleep Medicine (40) Sleep Monitoring, Sleep Quality, Sleep Disorders (268) Behavior Change (863) Occupational Health and Ergonomics/Prevention at the Workplace (306) mHealth for Wellness, Behavior Change and Prevention (3315)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45834, first published .
Effect of an Internet–Delivered Cognitive Behavioral Therapy–Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial

Effect of an Internet–Delivered Cognitive Behavioral Therapy–Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial

Effect of an Internet–Delivered Cognitive Behavioral Therapy–Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial

Authors of this article:

Asami Ito-Masui1 Author Orcid Image ;   Ryota Sakamoto2 Author Orcid Image ;   Eri Matsuo3 Author Orcid Image ;   Eiji Kawamoto1 Author Orcid Image ;   Eishi Motomura4 Author Orcid Image ;   Hisashi Tanii5 Author Orcid Image ;   Han Yu6 Author Orcid Image ;   Akane Sano6 Author Orcid Image ;   Hiroshi Imai1 Author Orcid Image ;   Motomu Shimaoka3 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

Journals

  1. Grünberger T, Höhn C, Schabus M, Laireiter A. Efficacy study comparing a CBT-I developed for shift workers (CBT-I-S) to standard CBT-I (cognitive behavioural therapy for insomnia) on sleep onset latency, total sleep time, subjective sleep quality, and daytime sleepiness: study protocol for a parallel group randomised controlled trial with online therapy groups of seven sessions each. Trials 2024;25(1) View
  2. Gkintoni E, Vassilopoulos S, Nikolaou G, Boutsinas B. Digital and AI-Enhanced Cognitive Behavioral Therapy for Insomnia: Neurocognitive Mechanisms and Clinical Outcomes. Journal of Clinical Medicine 2025;14(7):2265 View
  3. Shen Y, Choto Olivier A, Yu H, Ito-Masui A, Sakamoto R, Shimaoka M, Sano A. Personalized Physician-Assisted Sleep Advice for Shift Workers: Algorithm Development and Validation Study. JMIR Formative Research 2025;9:e65000 View
  4. Yuska T, DeVries A, Kanelos M, Delphus D, Toperzer K, O'Malley K, Katerji S, Desai P, Pedrigal K, Thach R, Li P. The Effects of Digital-Based Cognitive Behavioral Therapy for Insomnia (CBT-I) on Sleep Quality in Shift Workers: A Scoping Review. Cureus 2025 View
  5. Zeng Y, Zhao X, Xie Z, Lin X, Qi M, Li P. Prediction of Job Burnout in Nurses Based on the Job Demands‐Resources Model: An Explainable Machine Learning Approach. Journal of Advanced Nursing 2025 View
  6. Wu J, Zhang H, Jia L, Zhu C, Wang Y, Chen Y, Wang C. Exploring the correlation between nocturnal awakenings and occupational burnout in internal medicine physicians via online survey. Scientific Reports 2025;15(1) View
  7. Ito-Masui A, Sakamoto R, Kawamoto E, Motomura E, Tanii H, King Z, Suzuki K, Sano A, Shimaoka M. Sleep and well-being before and after a shift schedule change in ICU nurses: an observational study using wearable sensors. Journal of Occupational Health 2025;67(1) View
  8. Grünberger T, Höhn C, Schabus M, Laireiter A. Sleep-Related Factors in Shift Workers: A Cross-Sectional Cohort Pilot Study to Inform Online Group Therapy for Insomnia. International Journal of Environmental Research and Public Health 2025;22(11):1681 View
  9. Hinterberger A, Eigl E, Szeko A, Topalidis P, Schabus M. Continuous sleep tracking in digital CBT-I: Efficacy and insights from a naturalistic-environment study. International Journal of Clinical and Health Psychology 2025;25(4):100646 View