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Rationale and design of ePPOP-ID: a multicenter randomized controlled trial using an electronic-personalized program for obesity in pregnancy to improve delivery
BACKGROUND: Pre-pregnancy obesity and excessive gestational weight gain (GWG) are established risk factors for adverse pregnancy, delivery and birth outcomes. Pregnancy is an ideal moment for nutritional interventions in order to establish healthier lifestyle behaviors in women at high risk of obste...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542973/ https://www.ncbi.nlm.nih.gov/pubmed/33028261 http://dx.doi.org/10.1186/s12884-020-03288-x |
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author | Deruelle, Philippe Lelorain, Sophie Deghilage, Sylvie Couturier, Emmanuelle Guilbert, Elodie Berveiller, Paul Sénat, Marie Victoire Vayssière, Christophe Sentilhes, Loïc Perrotin, Franck Gallot, Denis Chauleur, Céline Sananes, Nicolas Roth, Emmanuel Luton, Dominique Caputo, Marie Lorio, Elodie Chatelet, Carla Couster, Julien Timbely, Oumar Doret-Dion, Muriel Duhamel, Alain Pigeyre, Marie |
author_facet | Deruelle, Philippe Lelorain, Sophie Deghilage, Sylvie Couturier, Emmanuelle Guilbert, Elodie Berveiller, Paul Sénat, Marie Victoire Vayssière, Christophe Sentilhes, Loïc Perrotin, Franck Gallot, Denis Chauleur, Céline Sananes, Nicolas Roth, Emmanuel Luton, Dominique Caputo, Marie Lorio, Elodie Chatelet, Carla Couster, Julien Timbely, Oumar Doret-Dion, Muriel Duhamel, Alain Pigeyre, Marie |
author_sort | Deruelle, Philippe |
collection | PubMed |
description | BACKGROUND: Pre-pregnancy obesity and excessive gestational weight gain (GWG) are established risk factors for adverse pregnancy, delivery and birth outcomes. Pregnancy is an ideal moment for nutritional interventions in order to establish healthier lifestyle behaviors in women at high risk of obstetric and neonatal complications. METHODS: Electronic-Personalized Program for Obesity during Pregnancy to Improve Delivery (ePPOP-ID) is an open multicenter randomized controlled trial which will assess the efficacy of an e-health web-based platform offering a personalized lifestyle program to obese pregnant women in order to reduce the rate of labor procedures and delivery interventions in comparison to standard care. A total of 860 eligible pregnant women will be recruited in 18 centers in France between 12 and 22 weeks of gestation, randomized into the intervention or the control arm and followed until 10 weeks of postpartum. The intervention is based on nutrition, eating behavior, physical activity, motivation and well-being advices in which personalization is central, as well as the use of a mobile/tablet application. Inputs includes data from the medical record of participants (medical history, anthropometric data), from the web platform (questionnaires on dietary habits, eating behavior, physical activity and motivation in both groups), and adherence to the program (time of connection for the intervention group only). Data are collected at inclusion, 32 weeks, delivery and 10 weeks postpartum. As primary outcome, we will use a composite endpoint score of obstetrical interventions during labor and delivery, defined as caesarean section and instrumental delivery (forceps and vacuum extractor). Secondary outcomes will consist of data routinely collected as part of usual antenatal and perinatal care, such as GWG, hypertension, preeclampsia, as well as fetal and neonatal outcomes including premature birth, gestational age at birth, birth weight, macrosomia, Apgar score, arterial umbilical cord pH, neonatal traumatism, hyperbilirubinemia, respiratory distress syndrome, transfer in neonatal intensive care unit, and neonatal adiposity. Post-natal outcomes will be duration of breastfeeding, maternal weight retention and child weight at postnatal visit. DISCUSSION: The findings of the ePPOP-ID trial will help design e-health intervention program for obese women in pregnancy. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02924636 / October 5th 2016. |
format | Online Article Text |
id | pubmed-7542973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75429732020-10-13 Rationale and design of ePPOP-ID: a multicenter randomized controlled trial using an electronic-personalized program for obesity in pregnancy to improve delivery Deruelle, Philippe Lelorain, Sophie Deghilage, Sylvie Couturier, Emmanuelle Guilbert, Elodie Berveiller, Paul Sénat, Marie Victoire Vayssière, Christophe Sentilhes, Loïc Perrotin, Franck Gallot, Denis Chauleur, Céline Sananes, Nicolas Roth, Emmanuel Luton, Dominique Caputo, Marie Lorio, Elodie Chatelet, Carla Couster, Julien Timbely, Oumar Doret-Dion, Muriel Duhamel, Alain Pigeyre, Marie BMC Pregnancy Childbirth Study Protocol BACKGROUND: Pre-pregnancy obesity and excessive gestational weight gain (GWG) are established risk factors for adverse pregnancy, delivery and birth outcomes. Pregnancy is an ideal moment for nutritional interventions in order to establish healthier lifestyle behaviors in women at high risk of obstetric and neonatal complications. METHODS: Electronic-Personalized Program for Obesity during Pregnancy to Improve Delivery (ePPOP-ID) is an open multicenter randomized controlled trial which will assess the efficacy of an e-health web-based platform offering a personalized lifestyle program to obese pregnant women in order to reduce the rate of labor procedures and delivery interventions in comparison to standard care. A total of 860 eligible pregnant women will be recruited in 18 centers in France between 12 and 22 weeks of gestation, randomized into the intervention or the control arm and followed until 10 weeks of postpartum. The intervention is based on nutrition, eating behavior, physical activity, motivation and well-being advices in which personalization is central, as well as the use of a mobile/tablet application. Inputs includes data from the medical record of participants (medical history, anthropometric data), from the web platform (questionnaires on dietary habits, eating behavior, physical activity and motivation in both groups), and adherence to the program (time of connection for the intervention group only). Data are collected at inclusion, 32 weeks, delivery and 10 weeks postpartum. As primary outcome, we will use a composite endpoint score of obstetrical interventions during labor and delivery, defined as caesarean section and instrumental delivery (forceps and vacuum extractor). Secondary outcomes will consist of data routinely collected as part of usual antenatal and perinatal care, such as GWG, hypertension, preeclampsia, as well as fetal and neonatal outcomes including premature birth, gestational age at birth, birth weight, macrosomia, Apgar score, arterial umbilical cord pH, neonatal traumatism, hyperbilirubinemia, respiratory distress syndrome, transfer in neonatal intensive care unit, and neonatal adiposity. Post-natal outcomes will be duration of breastfeeding, maternal weight retention and child weight at postnatal visit. DISCUSSION: The findings of the ePPOP-ID trial will help design e-health intervention program for obese women in pregnancy. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02924636 / October 5th 2016. BioMed Central 2020-10-07 /pmc/articles/PMC7542973/ /pubmed/33028261 http://dx.doi.org/10.1186/s12884-020-03288-x Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Study Protocol Deruelle, Philippe Lelorain, Sophie Deghilage, Sylvie Couturier, Emmanuelle Guilbert, Elodie Berveiller, Paul Sénat, Marie Victoire Vayssière, Christophe Sentilhes, Loïc Perrotin, Franck Gallot, Denis Chauleur, Céline Sananes, Nicolas Roth, Emmanuel Luton, Dominique Caputo, Marie Lorio, Elodie Chatelet, Carla Couster, Julien Timbely, Oumar Doret-Dion, Muriel Duhamel, Alain Pigeyre, Marie Rationale and design of ePPOP-ID: a multicenter randomized controlled trial using an electronic-personalized program for obesity in pregnancy to improve delivery |
title | Rationale and design of ePPOP-ID: a multicenter randomized controlled trial using an electronic-personalized program for obesity in pregnancy to improve delivery |
title_full | Rationale and design of ePPOP-ID: a multicenter randomized controlled trial using an electronic-personalized program for obesity in pregnancy to improve delivery |
title_fullStr | Rationale and design of ePPOP-ID: a multicenter randomized controlled trial using an electronic-personalized program for obesity in pregnancy to improve delivery |
title_full_unstemmed | Rationale and design of ePPOP-ID: a multicenter randomized controlled trial using an electronic-personalized program for obesity in pregnancy to improve delivery |
title_short | Rationale and design of ePPOP-ID: a multicenter randomized controlled trial using an electronic-personalized program for obesity in pregnancy to improve delivery |
title_sort | rationale and design of eppop-id: a multicenter randomized controlled trial using an electronic-personalized program for obesity in pregnancy to improve delivery |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542973/ https://www.ncbi.nlm.nih.gov/pubmed/33028261 http://dx.doi.org/10.1186/s12884-020-03288-x |
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