Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom)
Abstract Background Obese pregnant women are known to experience poorer pregnancy outcomes and are at higher risk of postnatal arteriosclerosis. Hence, weight control during and after pregnancy is important for reducing these risks. The objective of our planned randomized controlled trial is to eval...
| Main Authors: | , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2021-08-01
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| Series: | BMC Pregnancy and Childbirth |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12884-021-03998-w |
| _version_ | 1819069327495659520 |
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| author | Maki Kawasaki Asako Mito Masako Waguri Yuichi Sato Emiko Abe Mayumi Shimada Sayuri Fukuda Yuki Sasaki Kei Fujikawa Takashi Sugiyama Erika Ota Jin Nakazawa Tadashi Okoshi Hidemi Takimoto Yuka Honda Eisuke Inoue Yuji Hiramatsu Naoko Arata |
| author_facet | Maki Kawasaki Asako Mito Masako Waguri Yuichi Sato Emiko Abe Mayumi Shimada Sayuri Fukuda Yuki Sasaki Kei Fujikawa Takashi Sugiyama Erika Ota Jin Nakazawa Tadashi Okoshi Hidemi Takimoto Yuka Honda Eisuke Inoue Yuji Hiramatsu Naoko Arata |
| author_sort | Maki Kawasaki |
| collection | DOAJ |
| description | Abstract Background Obese pregnant women are known to experience poorer pregnancy outcomes and are at higher risk of postnatal arteriosclerosis. Hence, weight control during and after pregnancy is important for reducing these risks. The objective of our planned randomized controlled trial is to evaluate whether the rate of change in body weight in obese women before pregnancy to 12 months postpartum would be lower with the use of an intervention consisting of Internet of Things (IoT) devices and mobile applications during pregnancy to 1 year postpartum compared to a non-intervention group. Methods Women will be recruited during outpatient maternity checkups at four perinatal care institutions in Japan. We will recruit women at less than 30 weeks of gestation with a pre-pregnancy body mass index ≥ 25 kg/m2. The women will be randomly assigned to an intervention or non-intervention group. The intervention will involve using data (weight, body composition, activity, sleep) measured with IoT devices (weight and body composition monitor, activity, and sleep tracker), meal records, and photographs acquired using a mobile application to automatically generate advice, alongside the use of a mobile application to provide articles and videos related to obesity and pregnancy. The primary outcome will be the ratio of change in body weight (%) from pre-pregnancy to 12 months postpartum compared to before pregnancy. Discussion This study will examine whether behavioral changes occurring during pregnancy, a period that provides a good opportunity to reexamine one's habits, lead to lifestyle improvements during the busy postpartum period. We aim to determine whether a lifestyle intervention that is initiated during pregnancy can suppress weight gain during pregnancy and encourage weight loss after delivery. Trial registration UMIN: UMIN (University hospital Medical Information Network) 000,041,460. Resisted on 18th August 2020. https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047278 |
| first_indexed | 2024-12-21T16:48:17Z |
| format | Article |
| id | doaj.art-83353e5da1f1418f8c3c5519fc78376d |
| institution | Directory Open Access Journal |
| issn | 1471-2393 |
| language | English |
| last_indexed | 2024-12-21T16:48:17Z |
| publishDate | 2021-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Pregnancy and Childbirth |
| spelling | doaj.art-83353e5da1f1418f8c3c5519fc78376d2022-12-21T18:56:56ZengBMCBMC Pregnancy and Childbirth1471-23932021-08-0121111410.1186/s12884-021-03998-wProtocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom)Maki Kawasaki0Asako Mito1Masako Waguri2Yuichi Sato3Emiko Abe4Mayumi Shimada5Sayuri Fukuda6Yuki Sasaki7Kei Fujikawa8Takashi Sugiyama9Erika Ota10Jin Nakazawa11Tadashi Okoshi12Hidemi Takimoto13Yuka Honda14Eisuke Inoue15Yuji Hiramatsu16Naoko Arata17Department of Health Policy, National Center for Child Health and DevelopmentDivision of Maternal Medicine, Center for Maternal-Fetal, Neonatal, and Reproductive Medicine, National Center for Child Health and DevelopmentDepartment of Obstetric Medicine, Osaka Women’s and Children’s HospitalObstetrics & Gynecology, TATE DEBARI Sato HospitalDepartment of Obstetrics and Gynecology, Ehime Prefectural Central HospitalDepartment of Obstetric Medicine, Osaka Women’s and Children’s HospitalObstetrics & Gynecology, TATE DEBARI Sato HospitalLink and Communication IncDepartment of Obstetric Medicine, Osaka Women’s and Children’s HospitalDepartment of Obsterics and Gynecology, Ehime Uiversity Graduate School of Medicine, Touon CityGlobal Health Nursing, Graduate School of Nursing Sciences, St. Lukes International UniversityFaculty of Environment and Information Studies, Keio UniversityGraduate School of Media and GovernanceNational Institute of Health and NutritionDivision of Maternal Medicine, Center for Maternal-Fetal, Neonatal, and Reproductive Medicine, National Center for Child Health and DevelopmentShowa University Research Administration Center, Showa UniversityOkayama City General Medical CenterDivision of Maternal Medicine, Center for Maternal-Fetal, Neonatal, and Reproductive Medicine, National Center for Child Health and DevelopmentAbstract Background Obese pregnant women are known to experience poorer pregnancy outcomes and are at higher risk of postnatal arteriosclerosis. Hence, weight control during and after pregnancy is important for reducing these risks. The objective of our planned randomized controlled trial is to evaluate whether the rate of change in body weight in obese women before pregnancy to 12 months postpartum would be lower with the use of an intervention consisting of Internet of Things (IoT) devices and mobile applications during pregnancy to 1 year postpartum compared to a non-intervention group. Methods Women will be recruited during outpatient maternity checkups at four perinatal care institutions in Japan. We will recruit women at less than 30 weeks of gestation with a pre-pregnancy body mass index ≥ 25 kg/m2. The women will be randomly assigned to an intervention or non-intervention group. The intervention will involve using data (weight, body composition, activity, sleep) measured with IoT devices (weight and body composition monitor, activity, and sleep tracker), meal records, and photographs acquired using a mobile application to automatically generate advice, alongside the use of a mobile application to provide articles and videos related to obesity and pregnancy. The primary outcome will be the ratio of change in body weight (%) from pre-pregnancy to 12 months postpartum compared to before pregnancy. Discussion This study will examine whether behavioral changes occurring during pregnancy, a period that provides a good opportunity to reexamine one's habits, lead to lifestyle improvements during the busy postpartum period. We aim to determine whether a lifestyle intervention that is initiated during pregnancy can suppress weight gain during pregnancy and encourage weight loss after delivery. Trial registration UMIN: UMIN (University hospital Medical Information Network) 000,041,460. Resisted on 18th August 2020. https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047278https://doi.org/10.1186/s12884-021-03998-wObesityPregnancyWeightInternet of ThingsMobile phone |
| spellingShingle | Maki Kawasaki Asako Mito Masako Waguri Yuichi Sato Emiko Abe Mayumi Shimada Sayuri Fukuda Yuki Sasaki Kei Fujikawa Takashi Sugiyama Erika Ota Jin Nakazawa Tadashi Okoshi Hidemi Takimoto Yuka Honda Eisuke Inoue Yuji Hiramatsu Naoko Arata Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom) BMC Pregnancy and Childbirth Obesity Pregnancy Weight Internet of Things Mobile phone |
| title | Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom) |
| title_full | Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom) |
| title_fullStr | Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom) |
| title_full_unstemmed | Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom) |
| title_short | Protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application: a randomized controlled trial (SpringMom) |
| title_sort | protocol for an interventional study to reduce postpartum weight retention in obese mothers using the internet of things and a mobile application a randomized controlled trial springmom |
| topic | Obesity Pregnancy Weight Internet of Things Mobile phone |
| url | https://doi.org/10.1186/s12884-021-03998-w |
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