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

Non-randomized Protocols and Methods (ehealth) (567) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Sleep Monitoring, Sleep Quality, Sleep Disorders (183) Wearable Devices and Sensors (888) Transdiagnostic Mental Health Interventions (160) Occupational Health and Ergonomics/Prevention at the Workplace (238) Insomnia and Sleep Hygiene (167) mHealth for Wellness, Behavior Change and Prevention (2871)

Published on in Vol 10, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24799, first published .
Internet-Based Individualized Cognitive Behavioral Therapy for Shift Work Sleep Disorder Empowered by Well-Being Prediction: Protocol for a Pilot Study

Internet-Based Individualized Cognitive Behavioral Therapy for Shift Work Sleep Disorder Empowered by Well-Being Prediction: Protocol for a Pilot Study

Internet-Based Individualized Cognitive Behavioral Therapy for Shift Work Sleep Disorder Empowered by Well-Being Prediction: Protocol for a Pilot Study

Authors of this article:

Asami Ito-Masui1, 2, 3 Author Orcid Image ;   Eiji Kawamoto1, 2, 3 Author Orcid Image ;   Ryota Sakamoto4 Author Orcid Image ;   Han Yu5 Author Orcid Image ;   Akane Sano5 Author Orcid Image ;   Eishi Motomura6 Author Orcid Image ;   Hisashi Tanii7 Author Orcid Image ;   Shoko Sakano8 Author Orcid Image ;   Ryo Esumi1, 2, 3 Author Orcid Image ;   Hiroshi Imai2, 3 Author Orcid Image ;   Motomu Shimaoka1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Ito-Masui A, Sakamoto R, Matsuo E, Kawamoto E, Motomura E, Tanii H, Yu H, Sano A, Imai H, Shimaoka M. 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. Journal of Medical Internet Research 2023;25:e45834 View
  2. Mikołajewski D, Piszcz A, Rojek I, Galas K. Machine Learning Supporting Virtual Reality and Brain–Computer Interface to Assess Work–Life Balance Conditions for Employees. Electronics 2024;13(22):4489 View