Effectiveness of an AI-Enabled Mobile Intervention on Lifestyle Behaviors and Maternal-Infant Health

May 6, 2026 updated by: Fangbiao Tao

Effects of an AI-driven Mobile Health Management Intervention to Prevent Gestational Diabetes Mellitus in High-risk Pregnant Women: A Pragmatic Randomized Controlled Trial

The goal of this pragmatic randomized controlled trial is to evaluate the effectiveness of an AI-enabled mobile health management application ("Better Pregnancy" app), grounded in the Theory of Planned Behavior, in preventing gestational diabetes mellitus (GDM) among pregnant women at high risk of GDM, and to assess its impact on maternal and infant health outcomes.

Study Population: Eligible participants are pregnant women aged 18-49 years, with a singleton pregnancy, gestational age <12 weeks at enrollment, and at least one GDM risk factor (age ≥35 years, pre-pregnancy BMI ≥24 kg/m², family history of diabetes, previous history of GDM, prior delivery of a macrosomic infant [birth weight ≥4000 g], or polycystic ovary syndrome). Participants must have no heart, liver, or kidney diseases, use an Android smartphone, and provide written informed consent.

The main questions it aims to answer are:

Can the AI-driven mobile lifestyle intervention reduce the incidence of GDM in high-risk pregnant women?

Does the intervention improve lifestyle behaviors (diet, physical activity, sleep) and glycemic control (measured by continuous glucose monitoring) in participants?

What is the adherence, acceptability, and cost-effectiveness of this intervention in real-world clinical settings?

Comparison: Researchers will compare two groups of pregnant women: the intervention group (receiving the AI-enabled "Better Pregnancy" app plus routine antenatal care) and the control group (receiving routine antenatal care alone).

Participants will:

Enroll in the first trimester (<12 weeks of gestation) and complete a baseline lifestyle and health status questionnaire

In the intervention group: watch 7 cognitive-attitudinal videos within the first week, then complete 12 weeks of AI-driven personalized intervention (daily check-ins, receiving tailored recommendations on diet, physical activity, sleep, etc.)

During the intervention period, participants in the intervention group will wear a continuous glucose monitoring device for 7 days to assess the impact of the intervention on glycemic fluctuations

Complete the first follow-up lifestyle and health status assessment after the intervention (approximately in the second trimester)

Undergo an oral glucose tolerance test during the second trimester (24-28 weeks)

Complete the second follow-up lifestyle and health status assessment in the third trimester (≥28 weeks)

Complete the third follow-up lifestyle and health status assessment at 42 days postpartum, along with collection of delivery outcomes and infant health information

A subset of participants may voluntarily provide blood and stool samples for mechanistic studies

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

400

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Pregnant women aged ≥18 years
  • Singleton pregnancy
  • Gestational age <13+6 weeks at enrollment

  • At least one of the following GDM risk factors:

    1. Age ≥35 years
    2. Pre-pregnancy BMI ≥24 kg/m²
    3. Family history of diabetes (first-degree relatives)
    4. Previous history of gestational diabetes mellitus
    5. Prior delivery of a macrosomic infant (birth weight ≥4000 g)
  • Polycystic ovary syndrome
  • Use of an Android smartphone
  • No severe heart, liver, or kidney diseases
  • Voluntary participation and signed informed consent

Exclusion Criteria:

  • Pre-pregnancy diagnosis of diabetes mellitus (type 1 or type 2)
  • Severe mental illness
  • Confirmed severe pregnancy complications (e.g., preeclampsia, placental abruption, etc.)
  • Inability to complete questionnaires or intervention
  • Participation in other interventional studies

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention Group: AI-Enabled Mobile Health Management App Plus Routine Antenatal Care
Participants receive a 12-week AI-powered intervention via the "PregSelfCare" app plus routine antenatal care. The intervention includes: (1) watching 7 theory-based videos and completing an attitude questionnaire in week 1; (2) daily check-in (mood, water, fruit, bowel movements, sunlight, weight) and receiving AI-driven personalized recommendations (diet photo feedback, step goals, sleep advice, emotion-relief videos, supplement reminders) during weeks 1-12, with content dynamically adjusted based on baseline lifestyle assessment and adherence; (3) wearing a continuous glucose monitor for 7 days; (4) completing a satisfaction questionnaire after the intervention (week 12), with a subset invited for semi-structured interviews.
Behavioral: Multi-component lifestyle intervention
Participants receive a 12-week AI-powered intervention via the "PregSelfCare" app plus routine antenatal care. The intervention includes: (1) watching 7 theory-based videos and completing an attitude questionnaire in week 1; (2) daily check-ins (mood, water, fruit, bowel movements, sunlight, weight) and receiving AI-driven personalized recommendations (diet photo feedback, step goals, sleep advice, emotion-relief videos, supplement reminders) during weeks 1-12, with content dynamically adjusted based on baseline lifestyle assessment and adherence; (3) wearing a continuous glucose monitor for 7 days; (4) completing a satisfaction questionnaire after the intervention (week 12), with a subset invited for semi-structured interviews.
No Intervention: Control Group: Routine Antenatal Care Alone
Participants in the control group receive routine antenatal care and standardized pregnancy health education (including verbal guidance and conventional brochures) provided by their hospitals. They do not have access to the "Better Pregnancy" app and receive no additional mobile health intervention. Data collection, including questionnaires and oral glucose tolerance tests, is completed at the same time points as the intervention group. After study completion, control participants will be offered access to the app.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
The prevalence of gestational diabetes mellitus
Time Frame: 24 Weeks
The diagnostic criteria for Potential simultaneous submissions were found in: International Journal of Nursing Sciences will follow the International Association of Diabetes and Pregnancy Study Groups (IADPSG) guidelines. Glucose tolerance tests will be conducted at 24 weeks of gestation (calculated from the last menstrual period). According to the diagnostic criteria, reference values for fasting, one-hour, and two-hour blood glucose levels are 5.1 mmol/L, 10.0 mmol/L, and 8.5 mmol/L, respectively. A diagnosis of gestational diabetes mellitus is confirmed if any of these values meet or exceed the specified thresholds
24 Weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Adverse pregnancy and adverse birth outcomes
Time Frame: 42 days postpartum
Maternal pregnancy outcomes and general neonatal outcomes were collected via self administered scales
42 days postpartum

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Fangbiao Tao

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

August 10, 2026

Primary Completion (Estimated)

December 31, 2027

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

May 6, 2026

First Submitted That Met QC Criteria

May 6, 2026

First Posted (Actual)

May 12, 2026

Study Record Updates

Last Update Posted (Actual)

May 12, 2026

Last Update Submitted That Met QC Criteria

May 6, 2026

Last Verified

May 1, 2026

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 20260506

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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