Evidence map›Paper›PMID 36790846›Full record

ArticleJMIR research protocols2023

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

Delia Indira Chiarello, Fabian Pardo, Jessica Moya, Maricela Pino, Andrea Rodríguez, María Eugenia Araneda, Ayleen Bertini, Jaime Gutiérrez

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05114174 (Evaluation and Implementation of an mHealth Intervention to Prevent Gestational Obesity in the Metropolitan Region and the Aconcagua Valley.), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05114174 nacompletednot on this map

Evaluation and Implementation of an mHealth Intervention to Prevent Gestational Obesity in the Metropolitan Region and the Aconcagua Valley.

TypeinterventionalSponsorUniversidad San SebastiánRan2022 to 2023Enrolled70ConditionsGestational Weight Gain, Obesity, MaternalArmsmami-educ
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Delia Indira ChiarelloCellular Signaling and Differentiation Laboratory, School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile.ORCID https://orcid.org/0000-0002-1530-0458
Fabian PardoMetabolic Diseases Research Laboratory, Interdisciplinary Center for Research in Territorial Health of the Aconcagua Valley, Center for Biomedical Research, Universidad de Valparaíso, San Felipe, Chile.ORCID https://orcid.org/0000-0002-6994-0418
Jessica MoyaSchool of Nutrition and Dietetics, Faculty of Sciences for Health Care, Universidad San Sebastián, Santiago, Chile.ORCID https://orcid.org/0000-0001-7411-6266
Maricela PinoSchool of Obstetrics, Faculty of Sciences for Health Care, Universidad San Sebastián, Santiago, Chile.ORCID https://orcid.org/0000-0003-3433-0617
Andrea RodríguezSchool of Obstetrics, Faculty of Sciences for Health Care, Universidad San Sebastián, Santiago, Chile.ORCID https://orcid.org/0000-0002-7419-8764
María Eugenia AranedaSchool of Psychology, Universidad Católica Silva Henríquez, Santiago, Chile.ORCID https://orcid.org/0000-0002-4071-1048
Ayleen BertiniMetabolic Diseases Research Laboratory, Interdisciplinary Center for Research in Territorial Health of the Aconcagua Valley, Center for Biomedical Research, Universidad de Valparaíso, San Felipe, Chile.ORCID https://orcid.org/0000-0003-2917-4437
Jaime GutiérrezCellular Signaling and Differentiation Laboratory, School of Medical Technology, Faculty of Medicine and Science, Universidad San Sebastián, Santiago, Chile.ORCID https://orcid.org/0000-0002-6378-2893
San Sebastián University · CLUniversity of Valparaíso · CLUniversidad Católica Silva Henríquez · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

objectiveThis study aims to evaluate the effectiveness of an mHealth intervention to reduce excessive weight gain in pregnant women who attend family health care centers.

methodsThe 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.

resultsThe 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.

conclusionsData 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 registrationClinicalTrials.gov NCT05114174; https://clinicaltrials.gov/ct2/show/NCT05114174. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44456.

Indexed as

gestational obesitymHealthprimary carerandomized controlled trial

Identifiers

PMID36790846
PMCPMC9978990
OpenAlexW4312110091

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.