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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.
  • Chiarello DI; Cellular Signaling and Differentiation Laboratory, School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile.
  • Pardo F; Metabolic Diseases Research Laboratory, Interdisciplinary Center for Research in Territorial Health of the Aconcagua Valley, Center for Biomedical Research, Universidad de Valparaíso, San Felipe, Chile.
  • Moya J; School of Medicine, Campus San Felipe, Faculty of Medicine, Universidad de Valparaíso, San Felipe, Chile.
  • Pino M; School of Nutrition and Dietetics, Faculty of Sciences for Health Care, Universidad San Sebastián, Santiago, Chile.
  • Rodríguez A; School of Obstetrics, Faculty of Sciences for Health Care, Universidad San Sebastián, Santiago, Chile.
  • Araneda ME; School of Obstetrics, Faculty of Sciences for Health Care, Universidad San Sebastián, Santiago, Chile.
  • Bertini A; School of Psychology, Universidad Católica Silva Henríquez, Santiago, Chile.
  • Gutiérrez J; Metabolic Diseases Research Laboratory, Interdisciplinary Center for Research in Territorial Health of the Aconcagua Valley, Center for Biomedical Research, Universidad de Valparaíso, San Felipe, Chile.
JMIR Res Protoc ; 12: e44456, 2023 Feb 15.
Article in English | MEDLINE | ID: covidwho-2239772
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Language: English Journal: JMIR Res Protoc Year: 2023 Document Type: Article Affiliation country: 44456

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Language: English Journal: JMIR Res Protoc Year: 2023 Document Type: Article Affiliation country: 44456