| Unique ID issued by UMIN | UMIN000046394 |
|---|---|
| Receipt number | R000052939 |
| Scientific Title | Observational study on the stress check using data from wearable devices, and on the evaluation of the relationships between stress check, work engagement and work productivity |
| Date of disclosure of the study information | 2021/12/16 |
| Last modified on | 2026/01/07 12:05:41 |
Observational study on the stress check using data from wearable devices, and on the evaluation of the relationships between stress check, work engagement and work productivity
Observational study on the stress check using data from wearable devices, and on the evaluation of the relationships between stress check, work engagement and work productivity
Observational study on the stress check using data from wearable devices, and on the evaluation of the relationships between stress check, work engagement and work productivity
Observational study on the stress check using data from wearable devices, and on the evaluation of the relationships between stress check, work engagement and work productivity
| Japan |
healthy adults
| Adult |
Others
NO
Development of the algorism to detect mental illness using data from wearable devices
Others
Development of algorism
Exploratory
Not applicable
The Brief Job Stress Questionnaire (23 Items)
Observational
| Not applicable |
| Not applicable |
Male and Female
*Employee in Shionogi & Co. Ltd. (including its group companies) who belongs to the below departments and can perform evaluation by application by themselves.
(Pharmaceutical Research Division, Drug Development and Regulatory Science Division, Pharmaceutical Commercial Division in Osaka, Administration Division, Integrated Disease Care Division, DX promotion Division, Shionogi Career Development Center Co., Ltd.,)
*Those who can answer questionnaires via web application.
None
150
| 1st name | Yoshitake |
| Middle name | |
| Last name | Kitanishi |
Shionogi & Co., Ltd.
Data Science department
5410045
1-8, Doshomachi 3-chome, Chuo-ku, Osaka, Japan
06-6202-2161
yoshitake.kitanishi@shionogi.co.jp
| 1st name | Yuki |
| Middle name | |
| Last name | Yoshida |
Shionogi & Co., Ltd.
Data Science department
5410045
1-8, Doshomachi 3-chome, Chuo-ku, Osaka, Japan
06-6202-2161
yuuki.yoshida@shionogi.co.jp
Shionogi & Co., Ltd.
Shionogi & Co., Ltd.
Profit organization
Non-Profit Organization MINS Institutional Review Board
20-9-401, Mita, 5-chome, Minato-ku, Tokyo, Japan.
03-6416-1868
npo-mins@j-irb.com
NO
| 2021 | Year | 12 | Month | 16 | Day |
none
Published
https://ai.jmir.org/2024/1/e55840
194
Data from 190 participants were analyzed (teleworking rate: 0-79%). The proposed model achieved an AUC of 0.84 (TPR/FPR: 0.77/0.26). SHAP analysis showed that high teleworkers' stress was linked to skipped lunch, irregular work hours, higher heart rate variability, and reduced sleep, whereas low teleworkers' stress was linked to deviations in arrival time, heart rate variability, and calorie expenditure variations.
| 2026 | Year | 01 | Month | 07 | Day |
| 2024 | Year | 08 | Month | 02 | Day |
This study enrolled 194 employees of the Shionogi Group working in Osaka, Japan. Participants who rarely teleworked included sales or research employees, and those who frequently teleworked included clerical employees. The teleworking rate of the employees ranged between 0% and 79%.
Data from 190/194 (97.9%) participants were included to develop high-performance stress prediction algorithms; 2 participants discontinued the study, and data from 2 other participants were included only in the training set.
Not investigated
The area under the curve (AUC) of the proposed method was 0.84 (true positive vs false positive: 0.77 vs 0.26).
Completed
| 2021 | Year | 12 | Month | 16 | Day |
| 2021 | Year | 12 | Month | 15 | Day |
| 2021 | Year | 12 | Month | 20 | Day |
| 2022 | Year | 04 | Month | 30 | Day |
None
| 2021 | Year | 12 | Month | 16 | Day |
| 2026 | Year | 01 | Month | 07 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000052939