Unique ID issued by UMIN | UMIN000041460 |
---|---|
Receipt number | R000047278 |
Scientific Title | Intervention study to reduce postpartum weight retention by internet of things and mobile application in obesity mothers |
Date of disclosure of the study information | 2020/09/07 |
Last modified on | 2021/02/19 04:26:20 |
Intervention study to reduce postpartum weight retention
by internet of things and mobile application in obesity mothers
SpringMom
Intervention study to reduce postpartum weight retention
by internet of things and mobile application in obesity mothers
SpringMom
Japan |
Overweight/Obese pre-pregnancy BMI
Endocrinology and Metabolism | Obstetrics and Gynecology |
Others
NO
To examine whether an intervention using internet of things and mobile application during pregnancy through one year postpartum is more effective than without intervention to cause weight loss in women with overweight/obese pre-pregnancy BMI.
Efficacy
Maternal weight change from pre-pregnancy to 12 months postpartum
1. Health Outcome
-Pregnancy outcomes (gestational age at delivery, rate of cesarean section, rate of preterm birth, birth height, birth weight, SD value, rate of LGA(Large-for-gestational age) , rate of pregnancy-induced hypertension, rate of gestational diabetes mellitus)
-gestational weight gain
-Maternal weight change from pre-pregnancy to 24 months postpartum (measured at 1,6,12,24 months)
-Rate of maternal weight change from pre-pregnancy to postpartum 24 months (measured at 1,6,12,24 months) (%)
-Rate of achievement of weight goal (at 6,12,24 months postpartum)
-Change in percent body fat composition from 1 month postpartum to 6,12,24 months postpartum
-Rate of hypertension (6,12,24 months postpartum)
-Rate of postpartum blood pressure normalization in women with hypertension before pregnancy
-Rate of progression to impaired glucose tolerance or T2DM (at 6,12,24 months postpartum)
2. Behavior change
-Attitude and knowledge
-Average total energy, carbohydrate,lipid, protein intake
-Proportion of carbohydrate , lipid, protein intake to total energy intake
-Average dietary fiber intake
-Average salt intake
-Number of steps per day
-Total sleep time, nap time
-Breastfeeding rate
-Breastfeeding duration
-Lactation process indicators, Breastfeeding wishes
3. Use of IoT device/mobile application
-Installation and measurement rate of IoT devices (activity meter, weight/body composition meter)
-Average number of logins to mobile application/day, browsing time/day
-Upload status of meal image/contents
-Breast milk video viewing status
-Intervention program continuation rate
-Ease of use of equipment
-Adherence
Interventional
Parallel
Randomized
Individual
Open -no one is blinded
No treatment
NO
NO
Institution is not considered as adjustment factor.
NO
Central registration
2
Educational,Counseling,Training
Device,equipment |
< Intervention arm>
Participants in the intervention group will conduct self-monitoring using the IoT devices (weight/body composition meter, activity/sleep meter), enter a meal record and meal photo in as much detail as possible daily, using a mobile application.
They will receive automatic advice on the mobile application based on the IoT information or the meal record or meal photo recorded by the mobile application.
Also, they will be provided with a column related to obesity (diet, exercise, breastfeeding promotion, gestational diabetes mellitus, pregnancy induced hypertension etc.) on their mobile application.
Intervention will last from during pregnancy to 1 year postpartum.
<control arm >
Participants in the control arm are expected to wear IoT devices at the time of data collection (start of study, 1 month postpartum, 6 months postpartum, 12 months postpartum, 24 months postpartum).
The column related to obesity will be provided on the website when they wish.
20 | years-old | <= |
Not applicable |
Female
Women who:
(1) are less than 30 weeks of gestation at the time of obtaining consent
(2) have pre-pregnancy BMI>=25
Women who:
(1) are under 20 years of age and are not married
(2) do not use the mobile application, or whose smartphone's iOS is less than 8.0 and less than Android 4.4
(3) have a history of diabetes (including overt diabetes in pregnancy);
(4) weigh 120 kg or more at the time of obtaining consent
(5) cannot communicate in Japanese
(6) the doctor determined to be inappropriate for this study
270
1st name | Naoko |
Middle name | |
Last name | Arata |
National Center for Child Health and Development, Tokyo, Japan
Division of Maternal Medicine, Center for Maternal-Fetal-Neonatal and Reproductive Medicine
187-8535
2-10-1, Okura, Setagayaku, Tokyo, 157-8538, JAPAN
03-3416-0181
springmom@ncchd.go.jp
1st name | Maki |
Middle name | |
Last name | Kawasaki |
National Center for Child Health and Development, Tokyo, Japan
Division of Maternal Medicine, Center for Maternal-Fetal-Neonatal and Reproductive Medicine
187-8535
2-10-1, Okura, Setagayaku, Tokyo, 157-8538, JAPAN
03-3416-0181
springmom@ncchd.go.jp
National Center for Child Health and Development, Tokyo, Japan
AMED
Japanese Governmental office
National Center for Child Health and Development, Tokyo, Japan
2-10-1, Okura, Setagayaku, Tokyo, 157-8538, JAPAN
03-3416-0181
springmom@ncchd.go.jp
NO
大阪母子医療センター
佐藤病院
愛媛県立中央病院
2020 | Year | 09 | Month | 07 | Day |
Unpublished
Enrolling by invitation
2020 | Year | 01 | Month | 27 | Day |
2020 | Year | 03 | Month | 27 | Day |
2020 | Year | 09 | Month | 09 | Day |
2024 | Year | 03 | Month | 31 | Day |
2020 | Year | 08 | Month | 18 | Day |
2021 | Year | 02 | Month | 19 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047278