| Unique ID issued by UMIN | UMIN000059545 |
|---|---|
| Receipt number | R000068041 |
| Scientific Title | A Study on the Relationship Between Electricity Usage Patterns Obtained from Smart Meters and the Onset Period of Depression |
| Date of disclosure of the study information | 2025/10/27 |
| Last modified on | 2025/10/27 11:12:36 |
A Study on the Relationship Between Electricity Usage Patterns Obtained from Smart Meters and the Onset Period of Depression
A Study on the Relationship Between Electricity Usage Patterns Obtained from Smart Meters and the Onset Period of Depression
A Study on the Relationship Between Electricity Usage Patterns Obtained from Smart Meters and the Onset Period of Depression
A Study on the Relationship Between Electricity Usage Patterns Obtained from Smart Meters and the Onset Period of Depression
| Japan |
Major Depressive Disorder
| Psychiatry |
Others
NO
This study investigates the relationship between electricity usage patterns and depressive symptoms in patients with depression, based on their electricity consumption data and medical records over the past two years
Safety,Efficacy
Electricity usage patterns before and after the onset of depression
Before and after the onset of depression:
Estimated sleep duration based on electricity usage
Estimated nighttime activity duration based on electricity usage
Daytime electricity usage on holidays
Observational
| 20 | years-old | <= |
| 60 | years-old | >= |
Male and Female
Participants
Individuals diagnosed with depression who are currently receiving treatment at Fujita Health University Hospital, RIC Mental Clinic Sangenjaya, or RIC Mental Clinic Azamino, living alone, and aged between 20 and 60 years.
At the time of consent, individuals who have been the registered electricity contract holders for at least the past two years.
At the time of consent, individuals who have been living alone for at least the past two years.
At the time of consent, individuals who have not changed residence for at least the past two years.
Inclusion Criteria
Individuals who have received a full explanation of the study's purpose and methods, understood the content, and provided written informed consent to participate and to allow access to their electricity usage data.
Individuals aged between 20 and 60 years at the time of consent.
Individuals diagnosed with depression within the past three months.
Individuals who, at the time of consent, have been living in a residence equipped with a smart meter for at least the past two years.
Individuals without significant cognitive impairments that would interfere with participation in the study.
Individuals unable to provide informed consent by themselves.
Individuals diagnosed with bipolar disorder or schizophrenia.
Individuals living with others (e.g., family members), as unique electricity usage patterns cannot be ensured.
Individuals who have moved residences or had their smart meter removed during the study period (past two years).
Any other cases deemed inappropriate for participation by the principal investigator or co-investigators.
100
| 1st name | Masami |
| Middle name | |
| Last name | Miyata |
Fujita Health University
Chubu Electric Power Joint Research Division for Integrated Community Care System,Schoo of Medicine
4701192
1-98 Dengakugakubo, Kutsukake-cho,Toyoake, Aichi, JAPAN
0562932350
miyatama@fujita-hu.ac.jp
| 1st name | Masami |
| Middle name | |
| Last name | Miyata |
Fujita Health University
Chubu Electric Power Joint Research Division for Integrated Community Care System,Schoo of Medicine
4701192
1-98 Dengakugakubo, Kutsukake-cho,Toyoake, Aichi, JAPAN
0562932350
miyatama@fujita-hu.ac.jp
Fujita Health University
Fujita Health University
Other
Institutional review Board of Fujita Health University
1-98 Dengakugakubo, Kutsukake-cho,Toyoake, Aichi, JAPAN
0562932350
miyatama@fujita-hu.ac.jp
NO
| 2025 | Year | 10 | Month | 27 | Day |
Unpublished
Preinitiation
| 2025 | Year | 10 | Month | 16 | Day |
| 2025 | Year | 10 | Month | 16 | Day |
| 2025 | Year | 10 | Month | 27 | Day |
| 2026 | Year | 03 | Month | 31 | Day |
This study is an observational study and represents the first attempt to extract daily behavioral patterns from electricity usage data obtained via smart meters and analyze their association with mental states such as depression.
| 2025 | Year | 10 | Month | 27 | Day |
| 2025 | Year | 10 | Month | 27 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000068041