Continuous Glucose and E-Monitoring to Support Healthy Weight Gain in Pregnancies - The GEM Study

NCT ID: NCT06666257

Last Updated: 2025-08-15

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

16 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-10-01

Study Completion Date

2026-07-30

Brief Summary

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This single-arm pilot study will evaluate the feasibility and acceptability of a remotely delivered behavioral lifestyle intervention, adapted from the SmartMoms framework, to promote health gestational weight gain in pregnant women with overweight and obesity. Twelve to sixteen participants will receive weekly virtual motivational interview sessions with trained health coaches, review their daily weight data, step count, and continuous glucose monitoring data, and tailored guidance on physical activity and nutrition. Educational content will be delivered electronically, with peer support provided through a closed online group. A simulated (mock) control arm will be created post hoc from existing records for preliminary comparisons; all enrolled participants will receive the intervention.

Detailed Description

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The purpose of this study is to assess the feasibility of delivering a remotely administered behavioral lifestyle intervention for pregnant women with overweight and obesity, adapted from the established SmartMoms framework, using a simulated (mock) control arm for comparison. This pilot study will enroll approximately 12-16 participants and will focus on evaluating feasibility, acceptability, and preliminary signals of impact to inform a future randomized controlled trial.

The intervention is tailored to the needs of women in Arkansas and aims to promote healthy gestational weight gain through motivational interviewing, physical activity promotion, education on dietary recommendations and self-monitoring. Participants will be encouraged to meet current pregnancy exercise guidelines (\>= 30 minutes of moderate-intensity activity on most, if not all days) and to follow a balanced diet consistent with caloric intake recommendations for appropriate gestational weight gain based on individual pre-pregnancy BMI.

Each participant will be provided with an internet connected bodyweight scal, and pedometer for daily self-monitoring. These devices will automatically transmit weight and step data to the study team. Participants will also wear a continuous glucose monitor (CGM) throughout their pregnancy to track temporal glucose patterns, which will be reviewed with the study's registered dietitian (RD) and health coaches.

Intervention delivery will include weekly virtual motivational interview sessions with a trained health coach. Sessions will review weight gain trajectory, dietary intake, physical activity patterns, and CGM data, and will provide tailored behavioral strategies for meeting gestational weight gain goals. Educational materials will be delivered electronically to participants' smartphones. A closed online forum will be available for peer support, following the SmartMoms framework.

The simulated control arm will be generated post hoc by matching trial participants to publicly available datasets based on gestational age, BMI category, and other relevant covariates. This mock control will serve only as a comparator for preliminary analyses; all enrolled participants will receive the active intervention.

The intervention will begin between 16-20 weeks' gestation and continue until delivery (20-24 weeks per participant). All motivational interviewing sessions will be delivered remotely, and participants will be trained individually on safe and effective use of study tools.

Conditions

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Pregnancies at Increased Risk for Excessive Gestational Weight Gain Ecological Momentary Assessment and Intervention Continuous Glucose Monitor

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

This pilot study tests the feasibility of a single-arm, remotely delivered behavioral lifestyle intervention program for pregnant women with overweight and obesity. Modeled after the SmartMoms approach, the program combined weekly virtual health coach sessions with motivational interview techniques, daily weight and activity tracking, continuous glucose monitoring, and tailored education to support healthy gestational weight gain. A simulated control arm will be created from existing datasets for preliminary comparisons.
Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

Study Groups

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Remote Weight & Step Monitoring + CGM

Women will engage in the remote intervention resembling efforts used by the SmartMoms intervention, but adapted to the needs of Arkansas women while also wearing unblinded CGM devices providing insights to glycemic trends in response to lifestyle factors.

Group Type EXPERIMENTAL

Continuous Glucose and E-Monitoring to Support Healthy Weight Gain in Pregnancy

Intervention Type BEHAVIORAL

The intervention we are basing our adaptations on is a ecological momentary intervention, meaning it is integrated into participants daily lifestyle and schedule. Using an established framework for tracking daily body weight and physical activity, a gestational weight gain trajectory is estimated. Based on the data, recommendation prompts for exercise and diet will be discussed with participants during motivational interviewing. For the CGM piece, participants will wear unblinded CGM devices and have access to CGM linked app features that allow insights and reactivity to personal glycemic data

Interventions

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Continuous Glucose and E-Monitoring to Support Healthy Weight Gain in Pregnancy

The intervention we are basing our adaptations on is a ecological momentary intervention, meaning it is integrated into participants daily lifestyle and schedule. Using an established framework for tracking daily body weight and physical activity, a gestational weight gain trajectory is estimated. Based on the data, recommendation prompts for exercise and diet will be discussed with participants during motivational interviewing. For the CGM piece, participants will wear unblinded CGM devices and have access to CGM linked app features that allow insights and reactivity to personal glycemic data

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* pregnant women less than 20 weeks of gestation at time of screening
* 18-45 years of age
* BMI of 25 - 40 kg/m-2
* Expecting a singleton pregnancy
* Smartphone and/or reliable internet access
* Willing to be identifiable to other study participants in the study program .

Exclusion Criteria

* Smoker
* Preexisting medical conditions that might be exacerbated by pregnancy (e.g., diabetes mellitus, chronic renal failure, hypertension, malignancies, seizure disorder, lupus, drug or alcohol abuse, serious psychiatric disorders)
* Current mental health or eating disorder
* Contraindication to exercise (OB/GYN release is obtained prior to consent)
* Conceived with assisted fertility treatments
* Medications during pregnancy known to influence fetal growth (e.g., thyroid hormone, glucocorticoids, insulin, oral hypoglycemic agents)
* Plans to move out of the state in the next 6 months following screening.
Minimum Eligible Age

18 Years

Maximum Eligible Age

45 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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National Institute of General Medical Sciences (NIGMS)

NIH

Sponsor Role collaborator

Arkansas Children's Hospital Research Institute

OTHER

Sponsor Role lead

Responsible Party

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Lisa Jansen

Assistant Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Lisa T Jansen, PhD

Role: PRINCIPAL_INVESTIGATOR

Arkansas Children's Hospital Research Institute; University of Arkansas for Medical Sciences

Central Contacts

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Lisa T Jansen, PhD

Role: CONTACT

5013646516

Sharon E Sanders, PhD, MPH, CHES

Role: CONTACT

501-364-5118

Other Identifiers

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5P20GM109096

Identifier Type: NIH

Identifier Source: secondary_id

View Link

276728

Identifier Type: -

Identifier Source: org_study_id

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