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Identification of earlier predictors of pregnancy complications through wearable technologies in a Brazilian multicentre cohort: Maternal Actigraphy Exploratory Study I (MAES-I) study protocol

INTRODUCTION: Non-invasive tools capable of identifying predictors of maternal complications would be a step forward for improving maternal and perinatal health. There is an association between modification in physical activity (PA) and sleep–wake patterns and the occurrence of inflammatory, metabol...

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Autores principales: Souza, Renato T, Cecatti, Jose Guilherme, Mayrink, Jussara, Galvão, Rafael Bessa, Costa, Maria Laura, Feitosa, Francisco, Rocha Filho, Edilberto, Leite, Debora F, Vettorazzi, Janete, Tedesco, Ricardo P, Santana, Danielly S, Souza, Joao Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500316/
https://www.ncbi.nlm.nih.gov/pubmed/31005906
http://dx.doi.org/10.1136/bmjopen-2018-023101
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author Souza, Renato T
Cecatti, Jose Guilherme
Mayrink, Jussara
Galvão, Rafael Bessa
Costa, Maria Laura
Feitosa, Francisco
Rocha Filho, Edilberto
Leite, Debora F
Vettorazzi, Janete
Tedesco, Ricardo P
Santana, Danielly S
Souza, Joao Paulo
author_facet Souza, Renato T
Cecatti, Jose Guilherme
Mayrink, Jussara
Galvão, Rafael Bessa
Costa, Maria Laura
Feitosa, Francisco
Rocha Filho, Edilberto
Leite, Debora F
Vettorazzi, Janete
Tedesco, Ricardo P
Santana, Danielly S
Souza, Joao Paulo
author_sort Souza, Renato T
collection PubMed
description INTRODUCTION: Non-invasive tools capable of identifying predictors of maternal complications would be a step forward for improving maternal and perinatal health. There is an association between modification in physical activity (PA) and sleep–wake patterns and the occurrence of inflammatory, metabolic, pathological conditions related to chronic diseases. The actigraphy device is validated to estimate PA and sleep–wake patterns among pregnant women. In order to extend the window of opportunity to prevent, diagnose and treat specific maternal conditions, would it be possible to use actigraphy data to identify risk factors for the development of adverse maternal outcomes during pregnancy? METHODS AND ANALYSIS: A cohort will be held in five centres from the Brazilian Network for Studies on Reproductive and Perinatal Health. Maternal Actigraphy Exploratory Study I (MAES-I) will enrol 400 low-risk nulliparous women who will wear the actigraphy device on their wrists day and night (24 hours/day) uninterruptedly from 19 to 21 weeks until childbirth. Changes in PA and sleep–wake patterns will be analysed throughout pregnancy, considering ranges in gestational age in women with and without maternal complications such as pre-eclampsia, preterm birth (spontaneous or provider-initiated), gestational diabetes, maternal haemorrhage during pregnancy, in addition to perinatal outcomes. The plan is to design a predictive model using actigraphy data for screening pregnant women at risk of developing specific adverse maternal and perinatal outcomes. ETHICS AND DISSEMINATION: MAES-I has been reviewed and approved by each institutional review board and also by the National Council for Ethics in Research. Detailed information about the study is provided in the Brazilian Cohort website (www.medscinet.com/samba) and findings will be published in the scientific literature and institutional webpages.
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spelling pubmed-65003162019-05-21 Identification of earlier predictors of pregnancy complications through wearable technologies in a Brazilian multicentre cohort: Maternal Actigraphy Exploratory Study I (MAES-I) study protocol Souza, Renato T Cecatti, Jose Guilherme Mayrink, Jussara Galvão, Rafael Bessa Costa, Maria Laura Feitosa, Francisco Rocha Filho, Edilberto Leite, Debora F Vettorazzi, Janete Tedesco, Ricardo P Santana, Danielly S Souza, Joao Paulo BMJ Open Obstetrics and Gynaecology INTRODUCTION: Non-invasive tools capable of identifying predictors of maternal complications would be a step forward for improving maternal and perinatal health. There is an association between modification in physical activity (PA) and sleep–wake patterns and the occurrence of inflammatory, metabolic, pathological conditions related to chronic diseases. The actigraphy device is validated to estimate PA and sleep–wake patterns among pregnant women. In order to extend the window of opportunity to prevent, diagnose and treat specific maternal conditions, would it be possible to use actigraphy data to identify risk factors for the development of adverse maternal outcomes during pregnancy? METHODS AND ANALYSIS: A cohort will be held in five centres from the Brazilian Network for Studies on Reproductive and Perinatal Health. Maternal Actigraphy Exploratory Study I (MAES-I) will enrol 400 low-risk nulliparous women who will wear the actigraphy device on their wrists day and night (24 hours/day) uninterruptedly from 19 to 21 weeks until childbirth. Changes in PA and sleep–wake patterns will be analysed throughout pregnancy, considering ranges in gestational age in women with and without maternal complications such as pre-eclampsia, preterm birth (spontaneous or provider-initiated), gestational diabetes, maternal haemorrhage during pregnancy, in addition to perinatal outcomes. The plan is to design a predictive model using actigraphy data for screening pregnant women at risk of developing specific adverse maternal and perinatal outcomes. ETHICS AND DISSEMINATION: MAES-I has been reviewed and approved by each institutional review board and also by the National Council for Ethics in Research. Detailed information about the study is provided in the Brazilian Cohort website (www.medscinet.com/samba) and findings will be published in the scientific literature and institutional webpages. BMJ Publishing Group 2019-04-20 /pmc/articles/PMC6500316/ /pubmed/31005906 http://dx.doi.org/10.1136/bmjopen-2018-023101 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Obstetrics and Gynaecology
Souza, Renato T
Cecatti, Jose Guilherme
Mayrink, Jussara
Galvão, Rafael Bessa
Costa, Maria Laura
Feitosa, Francisco
Rocha Filho, Edilberto
Leite, Debora F
Vettorazzi, Janete
Tedesco, Ricardo P
Santana, Danielly S
Souza, Joao Paulo
Identification of earlier predictors of pregnancy complications through wearable technologies in a Brazilian multicentre cohort: Maternal Actigraphy Exploratory Study I (MAES-I) study protocol
title Identification of earlier predictors of pregnancy complications through wearable technologies in a Brazilian multicentre cohort: Maternal Actigraphy Exploratory Study I (MAES-I) study protocol
title_full Identification of earlier predictors of pregnancy complications through wearable technologies in a Brazilian multicentre cohort: Maternal Actigraphy Exploratory Study I (MAES-I) study protocol
title_fullStr Identification of earlier predictors of pregnancy complications through wearable technologies in a Brazilian multicentre cohort: Maternal Actigraphy Exploratory Study I (MAES-I) study protocol
title_full_unstemmed Identification of earlier predictors of pregnancy complications through wearable technologies in a Brazilian multicentre cohort: Maternal Actigraphy Exploratory Study I (MAES-I) study protocol
title_short Identification of earlier predictors of pregnancy complications through wearable technologies in a Brazilian multicentre cohort: Maternal Actigraphy Exploratory Study I (MAES-I) study protocol
title_sort identification of earlier predictors of pregnancy complications through wearable technologies in a brazilian multicentre cohort: maternal actigraphy exploratory study i (maes-i) study protocol
topic Obstetrics and Gynaecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500316/
https://www.ncbi.nlm.nih.gov/pubmed/31005906
http://dx.doi.org/10.1136/bmjopen-2018-023101
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