Unique ID issued by UMIN | UMIN000022465 |
---|---|
Receipt number | R000025890 |
Scientific Title | Development of lifestyle intervention program for diabetes using IoT(Internet of Things) |
Date of disclosure of the study information | 2016/05/26 |
Last modified on | 2021/02/01 21:22:03 |
Development of lifestyle intervention program for diabetes using IoT(Internet of Things)
IoT DM program
Development of lifestyle intervention program for diabetes using IoT(Internet of Things)
IoT DM program
Japan |
Diabetes
Medicine in general | Endocrinology and Metabolism |
Others
NO
Development of lifestyle intervention program for diabetes using IoT, and to explore the effects of the programs
Efficacy
HbA1c
Completion rate, utilization of IoT
Interventional
Parallel
Randomized
Individual
Open -no one is blinded
Active
Central registration
2
Educational,Counseling,Training
Device,equipment | Behavior,custom |
Encourage to improve life style by using IoT
Encourage to improve life style by usual care
20 | years-old | <= |
75 | years-old | > |
Male and Female
Diabetes Mellitus, Impaired Glucose tolerance
Diabetic nephropathy phase 4(eGFR<30ml/min/1.73m2)
Receiving insulin therapy
Proliferative diabetic retinopathy or preproliferative retinopathy, and prohibited from participating the program by ophthalmologist
Under treatment of dementia
Under treatment of cancer
Under treatment of myocardial infarction and apoplexy
Subjects prohibited from participating the program by medical doctors
200
1st name | Kazuyo |
Middle name | |
Last name | Tsushita |
Aichi Health Promotion Public Interest Foundation
Comprehensive Health Science Center
470-2101
Gengoyama1-1, Morioka, Higashiura-cho, Chita-gun, Aichi, Japan
0562-82-0211
k-tsushita@grp.ahv.pref.aichi.jp
1st name | Akiko |
Middle name | |
Last name | Muramoto |
Aichi Health Promotion Public Interest Foundation
Comprehensive Health Science Center
470-2101
Gengoyama1-1, Morioka, Higashiura-cho, Chita-gun, Aichi, Japan
0562-82-0211
a-muramoto@grp.ahv.pref.aichi.jp
Aichi Health Promotion Public Interest Foundation
Mitsubishi Research Institute
Japanese Governmental office
Aichi Health Promotion Public Interest Foundation IRB
Gengoyama1-1, Morioka, Higashiura-cho, Chita-gun, Aichi, Japan
0562-82-0205
so-jinji@grp.ahv.pref.aichi.jp
NO
2016 | Year | 05 | Month | 26 | Day |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610601/
Published
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6610601/
181
In the health guidance model, both the IoT and control groups showed a significant HbA1c reduction at 3 months as compared with the baseline, while only the IoT group maintained a significant reduction at 6 months along with BMI decreases. In the hospitalization model, both the IoT and the control groups showed significant HbA1c reductions at 3 and 6 months as compared with the baseline, while there were no differences in the values between groups.
2021 | Year | 02 | Month | 01 | Day |
In the health guidance model, there were no significant differences between the groups in gender, HbA1c, fasting blood glucose, and BP. However, there were significant differences in the case of two factors: age (51.5 years versus 55.6 years, and P < 0.05) and body mass index (BMI) (26.6 versus 24.2 kg/m2, and P < 0.05).
In the hospitalization model, there were no significant differences between the groups in age, HbA1c, fasting blood glucose, BMI, and BP; however, there were significant differences for one factor: gender (M/F 33/9 versus 20/19, and P < 0.05) .
We developed a novel IoT system that collected data from health measuring devices transferred them to the cloud system and generated a summary for the patients and their PCPs. This IoT system also automatically generated supportive messages and provided them to patients via a newly developed smartphone application 'Shichifukujin-app'. Following randomization, the participants in the IoT group were provided with Bluetooth-enabled measurement devices to use the IoT system. They were advised to measure lifelogging data every day and to send them to the smartphone for 6 months. The control group was provided the same measurement devices (without an IoT system).
None
The primary endpoint was changes in HbA1c levels. The secondary endpoints were changes in body weight, BP, fasting blood glucose, and medication.
Completed
2016 | Year | 05 | Month | 24 | Day |
2016 | Year | 05 | Month | 24 | Day |
2016 | Year | 06 | Month | 01 | Day |
2017 | Year | 09 | Month | 30 | Day |
2016 | Year | 05 | Month | 26 | Day |
2021 | Year | 02 | Month | 01 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000025890