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

Delia Indira Chiarello1, Fabian Pardo2,3, Jessica Moya4

  • 1Cellular Signaling and Differentiation Laboratory, School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile.

JMIR Research Protocols
|February 15, 2023
PubMed

Insights

This study tested a mobile health (mHealth) program to help pregnant women manage weight gain. The mHealth intervention aims to reduce excessive gestational weight gain and prevent childhood obesity.

Area of Science:

  • Public Health
  • Maternal Health
  • Digital Health

Background:

  • Childhood obesity is a growing global concern, with gestational obesity being a key predictor.
  • Healthy eating behaviors during pregnancy are crucial for preventing intergenerational obesity transmission.
  • Mobile health (mHealth) interventions show promise for effective health management, especially during public health crises.

Purpose of the Study:

  • To evaluate the effectiveness of an mHealth intervention for reducing excessive weight gain in pregnant women.
  • To identify barriers and facilitators to healthy eating behaviors in pregnant women.
  • To assess maternal and perinatal outcomes associated with the mHealth intervention.

Main Methods:

  • A randomized clinical trial involving pregnant women in their first trimester.
  • A 12-week mHealth intervention delivering educational messages via multimedia messaging service.
  • Assessment of dietary intake, barriers, and facilitators, alongside maternal-fetal and perinatal outcomes.

Main Results:

  • The study is ongoing, with recruitment from May 2022 to May 2023.
  • Key results will focus on the intervention's success in reducing excessive gestational weight gain.
  • Analysis will also cover maternal-fetal outcomes and factors influencing weight gain.

Conclusions:

  • This trial will determine the efficacy of the mami-educ mHealth program in managing gestational weight gain.
  • Successful findings could lead to personalized prevention strategies for gestational obesity in primary care.
Abstract