Unique ID issued by UMIN | UMIN000051467 |
---|---|
Receipt number | R000058194 |
Scientific Title | A study for a Predictive Data Model for Symptoms of PremenstrualSyndrome using a Wearable Device |
Date of disclosure of the study information | 2023/07/01 |
Last modified on | 2024/01/09 09:50:17 |
A study for a Predictive Data Model for Symptoms of Premenstrual Syndrome using a Wearable Device
A study for a Predictive Data Model for Symptoms of PremenstrualSyndrome using a Wearable Device
A study for a Predictive Data Model for Symptoms of PremenstrualSyndrome using a Wearable Device
A study for a Predictive Data Model for Symptoms of PremenstrualSyndrome using a Wearable Device
Japan |
N/A
Adult |
Others
NO
Quantification of PMS symptoms and blood sugar fluctuations in healthy adult women by comparing self-administered questionnaire response scores, exercise/sleep-related information obtained from sensing devices, and data such as heart rate and blood oxygen concentration try.
Others
N/A
Since this study is a hypothesis-exploratory study, the correlations between objective evaluation indices that can be obtained from the sensing devices and subjective evaluation indices obtained from the questionnaire scores will be comprehensively compared.
Objective metrics that can be obtained from sensing devices
*Stress related values
*Sleep efficiency related value
*Momentum-related value
*Blood oxygen concentration
*Amount of activity
*Information that can be obtained from other sensing devices
Subjective evaluation
*MDQ
*Score of research subject questionnaire
When there is a request from the person to wear
*Blood glucose related values obtained from continuous blood glucose meter data
Observational
18 | years-old | <= |
60 | years-old | > |
Female
1.Females aged between 18 and 60 at the time of informed consent
2.Those who own a smartphone terminal on which applications can be installed, have no plans to change models during the research period, and agree to the terms of use regarding the sensing devices and applications used in this research.
3.Those who can obtain written consent to participate in this research and to provide information to this research before participating in this research
1.Those who have difficulty in health management due to perioperative period, infection, or disease under treatment
2.Patients who were taking hormonal drugs such as pills, antipsychotic drugs within 2 months from the start of the study, those who were diagnosed with other mental disorders, and those who were diagnosed with gynecological disorders
3.Those who have not had menstruation for 3 months or more (secondary amenorrhea), those who are menopausal,those who are pregnant,or those who are breastfeeding
4.Those who are judged by the research director to be difficult to use the sensing device
5.Implanting a device that can affect heart rate, such as a pacemaker
depressed person
6.Persons using drugs that can affect heart rate
7.Subjects who may develop skin rashes due to continuous use of the sensing device
8.Others who are judged by the principal investigator to be inappropriate to participate in this research
150
1st name | Kazumichi |
Middle name | |
Last name | Minato |
TechDoctor,Inc.
CEO
141-0021
Meguro Center building 8F,Kamiosaki3-2-1,Shinagawa-ku,Tokyo,Japan
03-5476-8889
minato@technology-doctor.com
1st name | Kazumichi |
Middle name | |
Last name | Minato |
TechDoctor,Inc.
CEO
141-0021
Meguro Center building 8F,Kamiosaki3-2-1,Shinagawa-ku,Tokyo,Japan
03-5476-8889
minato@technology-doctor.com
TechDoctor,Inc.
LOTTE CO., LTD.
Profit organization
Japan
LOTTE CO., LTD.
JCCR
Minamiikebukuro1-13-23,Toshima-ku,Tokyo,Japan
03-6869-7022
jccr-info@jccr.jp
NO
2023 | Year | 07 | Month | 01 | Day |
Unpublished
Completed
2023 | Year | 04 | Month | 26 | Day |
2023 | Year | 05 | Month | 19 | Day |
2023 | Year | 07 | Month | 18 | Day |
2023 | Year | 10 | Month | 23 | Day |
4.1. Research period
Ethics review committee approval date-March 2024 (planned)
4.2. Registration Period
Research subject registration start date: Ethics review committee approval date to September 2023 (planned)
4.3. Observation period
Last observation date of the last research subject: January 2024 observation period (planned)
2023 | Year | 06 | Month | 28 | Day |
2024 | Year | 01 | Month | 09 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000058194