| Unique ID issued by UMIN | UMIN000063634 |
|---|---|
| Receipt number | R000072827 |
| Scientific Title | Effects of Generative AI-Based Sleep Education on Sleep Hygiene Practices and Sleep Habits Among Medical Vocational School Students |
| Date of disclosure of the study information | 2026/11/15 |
| Last modified on | 2026/11/15 08:17:06 |
Effects of AI-Generated Sleep Advice on Sleep Habits in Medical Vocational School Students
AI Sleep Education Study
Effects of Generative AI-Based Sleep Education on Sleep Hygiene Practices and Sleep Habits Among Medical Vocational School Students
AI Sleep Education Trial in Medical Vocational Students
| Japan |
Problems in sleep hygiene practices and sleep habits
| Not applicable |
Others
NO
To evaluate the effects of personalized sleep education generated by artificial intelligence using Fitbit-derived sleep data on sleep hygiene practices, subjective sleep quality, sleep duration, sleep efficiency, sleep regularity, and psychological status among medical vocational school students, compared with provision of numerical sleep metrics alone.
Efficacy
Exploratory
Pragmatic
Not applicable
Primary outcome: Change in the total score of the Japanese Sleep Hygiene Practice Scale (SHPS-J) from the pre-intervention questionnaire administered on 4 November 2026 to the post-observation questionnaire scheduled for 14 December 2026. Multiple linear regression will compare change scores between trial arms, adjusting for academic year and baseline SHPS-J total score; adjusted between-group difference, 95% CI, and two-sided p value (alpha=0.05) will be reported.
Secondary outcomes: Japanese PSQI (pre-assessment on 4 Nov 2026; post-assessment planned for 14 Dec 2026), and Fitbit-derived sleep duration, sleep efficiency, and Sleep Regularity Index across the 35-night measurement period (9 Nov-13 Dec 2026). Exploratory outcome: Japanese DASS-21 assessed on 4 Nov and planned for 14 Dec 2026.
Interventional
Parallel
Randomized
Individual
Open -no one is blinded
No treatment
YES
NO
Institution is not considered as adjustment factor.
YES
No need to know
2
Educational,Counseling,Training
| Behavior,custom |
Intervention arm: Participants wear Fitbit Inspire 3 and, from 16 Nov to 6 Dec 2026 (21 days), receive sleep metrics and personalized generative AI-based sleep education via LINE, typically once per day after morning data synchronization. Feedback addresses sleep hygiene, sleep quality and sleep-wake regularity with actionable suggestions for medical vocational students. In the public code, the synchronization/delivery process is polled every 15 minutes from 06:00 to 10:45 JST, without a guaranteed fixed delivery time. Agreement with production settings and delivery logs has not been verified. Neutral sync/wear reminders are not considered the education intervention. Handling of missing or unsynchronized data will be checked against production logs.
Control arm: From 16 Nov to 6 Dec 2026, participants receive only numerical Fitbit-derived sleep metrics (including bedtime, wake time, sleep duration and sleep efficiency) via LINE, typically once daily after morning synchronization, without interpretation, sleep hygiene advice, encouragement or behavioral recommendations. No AI sleep education is delivered to either group during baseline (9-15 Nov 2026) or post-observation (7-13 Dec 2026). Delayed educational feedback for the control group is planned after all assessments.
| Not applicable |
| Not applicable |
Male and Female
Second- or third-year students enrolled in the Department of Judo Therapy and Health Science or the Department of Oral Health at Nippon Sport Science University Medical Vocational School who have received an explanation of the study and voluntarily provided informed consent.
No specific exclusion criteria.
40
| 1st name | Hayato |
| Middle name | |
| Last name | Kedoin |
Nippon Sport Science University Medical Vocational School
Department of Judo Therapy and Health Science
158-0097
2-2-7 Yoga, Setagaya-ku, Tokyo 158-0097, Japan
03-5717-6161
kedoin@nittai-iryo.ac.jp
| 1st name | Hayato |
| Middle name | |
| Last name | Kedoin |
Nippon Sport Science University Medical Vocational School
Department of Judo Therapy and Health Science
158-0097
2-2-7 Yoga, Setagaya-ku, Tokyo 158-0097, Japan
03-5717-6161
kedoin@nittai-iryo.ac.jp
Nippon Sport Science University Medical Vocational School
Metropolitan Foundation for Private Schools
Non profit foundation
Japan
Research Ethics Committee, Nippon Sport Science University Medical Vocational School
2-2-7 Yoga, Setagaya-ku, Tokyo 158-0097, Japan
03-5717-6161
info@nittai-iryo.ac.jp
NO
日本体育大学医療専門学校(東京都)
| 2026 | Year | 11 | Month | 15 | Day |
Unpublished
40
Individual participant data (IPD) will not be made available for public sharing.
No longer recruiting
| 2026 | Year | 05 | Month | 26 | Day |
| 2026 | Year | 09 | Month | 17 | Day |
| 2026 | Year | 10 | Month | 30 | Day |
| 2026 | Year | 12 | Month | 14 | Day |
| 2026 | Year | 12 | Month | 28 | Day |
The first participant provided informed consent on 30 October 2026, and Fitbit-based baseline monitoring began on 9 November 2026, before registration in UMIN-CTR. This is therefore a retrospective registration. The study was approved by the Research Ethics Committee of Nippon Sport Science University Medical Vocational School on 17 September 2026 (approval No. 026-004). Recruitment has been completed, with 40 enrolled participants; the trial is ongoing.
Participants comprise 17 second-year and 23 third-year students. Individual randomization using stratified permuted blocks of varying sizes by academic year is planned for 16 November 2026, targeting a 1:1 allocation ratio. Exact 1:1 balance within the odd-sized strata or 20:20 overall is not guaranteed. An independent faculty member not involved in intervention, assessment or analysis generates and separately holds the allocation list. The study system automatically delivers group-specific messages. The analyst remains masked to the group-code mapping until the primary analysis is finalized.
Randomized participants will constitute the ITT population, but the primary analysis will be a complete-case analysis of participants with both pre- and post-assessment SHPS-J scores. Sensitivity analyses are planned to assess the impact of missing data; specific methods remain to be determined.
| 2026 | Year | 11 | Month | 15 | Day |
| 2026 | Year | 11 | Month | 15 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000072827