Providing Brief Personalized Therapies for Insomnia Among Workers Using a Sleep Prompt App: Randomized Controlled Trial.

Tomonari Shimamoto, Ryuji Furihata, Yukako Nakagami, Yukiko Tateyama, Daisuke Kobayashi, Kosuke Kiyohara, Taku Iwami
Author Information
  1. Tomonari Shimamoto: Department of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan. ORCID
  2. Ryuji Furihata: Agency for Health, Safety and Environment, Kyoto University, Kyoto, Japan. ORCID
  3. Yukako Nakagami: Agency for Health, Safety and Environment, Kyoto University, Kyoto, Japan. ORCID
  4. Yukiko Tateyama: Department of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan. ORCID
  5. Daisuke Kobayashi: Agency for Health, Safety and Environment, Kyoto University, Kyoto, Japan. ORCID
  6. Kosuke Kiyohara: Department of Food Science, Faculty of Home Economics, Otsuma Women's University, Tokyo, Japan. ORCID
  7. Taku Iwami: Department of Preventive Services, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan. ORCID

Abstract

BACKGROUND: Insomnia is the most common sleep disorder and the foremost health concern among workers. We developed a new sleep prompt app (SPA) for smartphones to positively alter the users' consciousness and behavior by sending timely short messages for mild sleep problems at an early stage.
OBJECTIVE: The aim of this study is to investigate the effectiveness of the SPA in providing brief personalized therapy for insomnia among workers.
METHODS: We conducted a 2-arm parallel randomized controlled trial. The intervention group used the SPA, and the control group received no intervention. Participants were recruited between November 2020 and January 2021. The researcher sent emails for recruitment to more than 3000 workers of 2 companies and 1 university in Japan. The SPA provided personalized prompt messages, sleep diaries, sleep hygiene education, stimulus control therapy, and sleep restriction therapy. The prompt messages were sent automatically to the participants to encourage them to improve their sleep habits and sleep status and were optimized to the individual's daily rhythm. The intervention program duration was 4 weeks. The primary outcome was a change in the Insomnia Severity Index (ISI) for the study period. The ISI was obtained weekly using a web questionnaire.
RESULTS: A total of 116 Japanese workers (intervention group n=60, control group n=56) with sleep disorders were recruited. Two participants in the intervention group were excluded from the analyses because of challenges in installing the SPA. The mean ISI scores at baseline were 9.2 for both groups; however, after 4 weeks, the mean ISI scores declined to 6.8 and 8.0 for the intervention and control groups, respectively. Primary analysis using a linear mixed model showed a significant improvement in the temporal trends of the ISI in the SPA group and in the total population (P=.03). Subgroup analyses of ISI-8-insomniacs revealed a significant improvement in the temporal trends of ISI in the SPA group (P=.01), and the CFS score for physical condition significantly improved following the intervention (P=.02).
CONCLUSIONS: This study demonstrates the effectiveness of the SPA in providing brief personalized therapy for insomnia among Japanese workers with mild insomnia. The physical fatigue score significantly improved in ISI-8-insomniacs. Thus, SPA could play an important role in reducing the adverse effects of sleep disorders in workers. To promote the wide use of the SPA in the future, further studies are required to examine its effectiveness in other age groups and individuals with health problems.
TRIAL REGISTRATION: University Medical Information Network Clinical Trials Registry (UMIN-CTR) UMIN000042263; https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000046295.

Keywords

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MeSH Term

Behavior Therapy
Cognitive Behavioral Therapy
Humans
Mobile Applications
Sleep
Sleep Initiation and Maintenance Disorders
Treatment Outcome

Word Cloud

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