| Unique ID issued by UMIN | UMIN000063145 |
|---|---|
| Receipt number | R000072262 |
| Scientific Title | A Prospective Observational Study on Variations and Prediction of Mental and Physical States in Daily Life Using Smartphone Behavioral Logs and Activity Data |
| Date of disclosure of the study information | 2026/10/02 |
| Last modified on | 2026/10/02 10:01:09 |
A Prospective Observational Study on Variations and Prediction of Mental and Physical States in Daily Life Using Smartphone Behavioral Logs and Activity Data
A Prospective Observational Study on Variations and Prediction of Mental and Physical States in Daily Life Using Smartphone Behavioral Logs and Activity Data
A Prospective Observational Study on Variations and Prediction of Mental and Physical States in Daily Life Using Smartphone Behavioral Logs and Activity Data
A Prospective Observational Study on Variations and Prediction of Mental and Physical States in Daily Life Using Smartphone Behavioral Logs and Activity Data
| Japan |
Adults
| Adult |
Others
NO
To continuously collect smartphone behavioral logs passively obtained in daily life, information related to sleep-wake rhythms and physical activity obtained from an activity monitor, and daily subjective data on mental and physical states, and to integrate and analyze these data to identify features associated with within-person variations in mental and physical states, including sleep, sleepiness, fatigue, mood, and stress, and to examine the feasibility of estimating and predicting these states. In addition, statistical and machine-learning methods will be used to develop estimation and prediction models that account for within-person variations and between-person differences.
Others
Exploration of features associated with within-person variations in mental and physical states and development of models for estimating and predicting these states.
Performance of models for estimating daily mental and physical states and their within-person variations, including subjective sleep quality, restorative sleep, sleepiness, fatigue, mood, and stress assessed using daily questionnaires, from smartphone behavioral logs.
1. Associations between behavioral indices derived from smartphone behavioral logs and subjective measures assessed by daily questionnaires, including subjective sleep quality, restorative sleep, sleepiness, fatigue, mood, stress, and pain.
2. Associations between behavioral indices derived from smartphone behavioral logs and objective measures of sleep-wake rhythms obtained from an activity monitor.
3. Scores on questionnaires administered before and at the end of the measurement period (PHQ-9, POMS, PSQI, MEQ, ESS, SHPS, AIS, ISI, HAS, TIPI, UWES, SPQ, SWLS, UCLA, and SAS-SV), their associations with smartphone behavioral logs, activity-monitor data, and daily questionnaires, and the feasibility of estimating and predicting sleep and mental and physical states using these questionnaire scores.
4. Comparison of the performance of estimation models based on group-level data with models adjusted using individual-level data.
Observational
| 18 | years-old | <= |
| 70 | years-old | > |
Male and Female
1. Men and women aged 18 years or older and younger than 70 years at the time of informed consent.
2. Individuals who routinely use their own Android smartphone and are able to install and use the study data collection application on the device during the study period.
3. Individuals who are able to wear an activity monitor and complete the questionnaires and daily questionnaires during the 14-day study period.
4. Individuals who are able to provide written informed consent to participate in the study.
1. Individuals engaged in shift work including night shifts.
2. Individuals who regularly use psychotropic medications or sleep medications.
3. Individuals who have traveled across one or more time zones within the three months prior to the start of the study.
4. Individuals otherwise judged by the principal investigator to be unsuitable for participation in the study.
120
| 1st name | Michitaka |
| Middle name | |
| Last name | Yoshimura |
Aichi Toho University
Faculty of Human Health
465-8515
3-11 Heiwagaoka, meitou-ku, Nagoya, Aichi, Japan
052-782-1724
suimin.study@gmail.com
| 1st name | Michitaka |
| Middle name | |
| Last name | Yoshimura |
Aichi Toho University
Faculty of Human Health
465-8515
3-11 Heiwagaoka, meitou-ku, Nagoya, Aichi, Japan
052-782-1724
suimin.study@gmail.com
Aichi Toho University
Michitaka Yoshimura
Ministry of Education, Culture, Sports, Science and Technology (MEXT)
Japanese Governmental office
JAPAN
i2medical LLC
Japan Society for the Promotion of Science (JSPS)
Shiba Palace Clinic Ethics Review Committee
DaiwaA Hamamatsucho Bldg. 6F, 1-9-10, Hamamatsucho, Minato-ku, Tokyo, 105-0013, JAPAN
03-5408-1599
shiba_palace@s-palace-clinic.com
NO
| 2026 | Year | 10 | Month | 02 | Day |
Unpublished
Preinitiation
| 2026 | Year | 09 | Month | 07 | Day |
| 2026 | Year | 10 | Month | 15 | Day |
| 2028 | Year | 03 | Month | 31 | Day |
Study methods
This is a 14-day prospective observational study conducted in daily life. Participants will install a study application on their own Android smartphones to collect behavioral logs and will wear an activity monitor to collect data on sleep-wake rhythms and physical activity. They will also complete daily questionnaires in the morning and evening and questionnaires before and at the end of the measurement period. The collected data will be analyzed using statistical and machine-learning methods to explore features associated with within-person variations in mental and physical states and to develop estimation and prediction models.
Recruitment
Participant recruitment will be partially outsourced to SOUKEN Co., Ltd. Written informed consent will be obtained from all participants.
Measurements
A) Smartphone behavioral logs: location, screen/device usage, application usage, acceleration, steps, and movement/activity status. Contents of messages, emails, calls, typed text, audio, photographs, and videos will not be collected.
B) Activity monitor: sleep-wake rhythms and physical activity.
C) Questionnaires: sleep, sleepiness, fatigue, mood, stress, and other mental and physical states.
| 2026 | Year | 10 | Month | 02 | Day |
| 2026 | Year | 10 | Month | 02 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000072262