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An mHealth Intervention to Reduce Gestational Obesity (mami-educ): Protocol for a Randomized Controlled Trial

BACKGROUND: The World Federation of Obesity warns that the main health problem of the next decade will be childhood obesity. It is known that factors such as gestational obesity produce profound effects on fetal programming and are strong predictors of overweight and obesity in children. Therefore,...

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Autores principales: Chiarello, Delia Indira, Pardo, Fabian, Moya, Jessica, Pino, Maricela, Rodríguez, Andrea, Araneda, María Eugenia, Bertini, Ayleen, Gutiérrez, Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978990/
https://www.ncbi.nlm.nih.gov/pubmed/36790846
http://dx.doi.org/10.2196/44456
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author Chiarello, Delia Indira
Pardo, Fabian
Moya, Jessica
Pino, Maricela
Rodríguez, Andrea
Araneda, María Eugenia
Bertini, Ayleen
Gutiérrez, Jaime
author_facet Chiarello, Delia Indira
Pardo, Fabian
Moya, Jessica
Pino, Maricela
Rodríguez, Andrea
Araneda, María Eugenia
Bertini, Ayleen
Gutiérrez, Jaime
author_sort Chiarello, Delia Indira
collection PubMed
description BACKGROUND: The World Federation of Obesity warns that the main health problem of the next decade will be childhood obesity. It is known that factors such as gestational obesity produce profound effects on fetal programming and are strong predictors of overweight and obesity in children. Therefore, establishing healthy eating behaviors during pregnancy is the key to the primary prevention of the intergenerational transmission of obesity. Mobile health (mHealth) programs are potentially more effective than face-to-face interventions, especially during a public health emergency such as the COVID-19 outbreak. OBJECTIVE: This study aims to evaluate the effectiveness of an mHealth intervention to reduce excessive weight gain in pregnant women who attend family health care centers. METHODS: The design of the intervention corresponds to a classic randomized clinical trial. The participants are pregnant women in the first trimester of pregnancy who live in urban and semiurban areas. Before starting the intervention, a survey will be applied to identify the barriers and facilitators perceived by pregnant women to adopt healthy eating behaviors. The dietary intake will be estimated in the same way. The intervention will last for 12 weeks and consists of sending messages through a multimedia messaging service with food education, addressing the 3 domains of learning (cognitive, affective, and psychomotor). Descriptive statistics will be used to analyze the demographic, socioeconomic, and obstetric characteristics of the respondents. The analysis strategy follows the intention-to-treat principle. Logistic regression analysis will be used to compare the intervention with routine care on maternal pregnancy outcome and perinatal outcome. RESULTS: The recruitment of study participants began in May 2022 and will end in May 2023. Results include the effectiveness of the intervention in reducing the incidence of excessive gestational weight gain. We also will examine the maternal-fetal outcome as well as the barriers and facilitators that influence the weight gain of pregnant women. CONCLUSIONS: Data from this effectiveness trial will determine whether mami-educ successfully reduces rates of excessive weight gain during pregnancy. If successful, the findings of this study will generate knowledge to design and implement personalized prevention strategies for gestational obesity that can be included in routine primary care. TRIAL REGISTRATION: ClinicalTrials.gov NCT05114174; https://clinicaltrials.gov/ct2/show/NCT05114174 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44456
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spelling pubmed-99789902023-03-03 An mHealth Intervention to Reduce Gestational Obesity (mami-educ): Protocol for a Randomized Controlled Trial Chiarello, Delia Indira Pardo, Fabian Moya, Jessica Pino, Maricela Rodríguez, Andrea Araneda, María Eugenia Bertini, Ayleen Gutiérrez, Jaime JMIR Res Protoc Protocol BACKGROUND: The World Federation of Obesity warns that the main health problem of the next decade will be childhood obesity. It is known that factors such as gestational obesity produce profound effects on fetal programming and are strong predictors of overweight and obesity in children. Therefore, establishing healthy eating behaviors during pregnancy is the key to the primary prevention of the intergenerational transmission of obesity. Mobile health (mHealth) programs are potentially more effective than face-to-face interventions, especially during a public health emergency such as the COVID-19 outbreak. OBJECTIVE: This study aims to evaluate the effectiveness of an mHealth intervention to reduce excessive weight gain in pregnant women who attend family health care centers. METHODS: The design of the intervention corresponds to a classic randomized clinical trial. The participants are pregnant women in the first trimester of pregnancy who live in urban and semiurban areas. Before starting the intervention, a survey will be applied to identify the barriers and facilitators perceived by pregnant women to adopt healthy eating behaviors. The dietary intake will be estimated in the same way. The intervention will last for 12 weeks and consists of sending messages through a multimedia messaging service with food education, addressing the 3 domains of learning (cognitive, affective, and psychomotor). Descriptive statistics will be used to analyze the demographic, socioeconomic, and obstetric characteristics of the respondents. The analysis strategy follows the intention-to-treat principle. Logistic regression analysis will be used to compare the intervention with routine care on maternal pregnancy outcome and perinatal outcome. RESULTS: The recruitment of study participants began in May 2022 and will end in May 2023. Results include the effectiveness of the intervention in reducing the incidence of excessive gestational weight gain. We also will examine the maternal-fetal outcome as well as the barriers and facilitators that influence the weight gain of pregnant women. CONCLUSIONS: Data from this effectiveness trial will determine whether mami-educ successfully reduces rates of excessive weight gain during pregnancy. If successful, the findings of this study will generate knowledge to design and implement personalized prevention strategies for gestational obesity that can be included in routine primary care. TRIAL REGISTRATION: ClinicalTrials.gov NCT05114174; https://clinicaltrials.gov/ct2/show/NCT05114174 INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44456 JMIR Publications 2023-02-15 /pmc/articles/PMC9978990/ /pubmed/36790846 http://dx.doi.org/10.2196/44456 Text en ©Delia Indira Chiarello, Fabian Pardo, Jessica Moya, Maricela Pino, Andrea Rodríguez, María Eugenia Araneda, Ayleen Bertini, Jaime Gutiérrez. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 15.02.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Chiarello, Delia Indira
Pardo, Fabian
Moya, Jessica
Pino, Maricela
Rodríguez, Andrea
Araneda, María Eugenia
Bertini, Ayleen
Gutiérrez, Jaime
An mHealth Intervention to Reduce Gestational Obesity (mami-educ): Protocol for a Randomized Controlled Trial
title An mHealth Intervention to Reduce Gestational Obesity (mami-educ): Protocol for a Randomized Controlled Trial
title_full An mHealth Intervention to Reduce Gestational Obesity (mami-educ): Protocol for a Randomized Controlled Trial
title_fullStr An mHealth Intervention to Reduce Gestational Obesity (mami-educ): Protocol for a Randomized Controlled Trial
title_full_unstemmed An mHealth Intervention to Reduce Gestational Obesity (mami-educ): Protocol for a Randomized Controlled Trial
title_short An mHealth Intervention to Reduce Gestational Obesity (mami-educ): Protocol for a Randomized Controlled Trial
title_sort mhealth intervention to reduce gestational obesity (mami-educ): protocol for a randomized controlled trial
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978990/
https://www.ncbi.nlm.nih.gov/pubmed/36790846
http://dx.doi.org/10.2196/44456
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