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Not yet recruitingNCT07582068Updated May 12, 2026

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

An interventional study of Multi-component lifestyle intervention in Mobile Health Apps, Lifestyle Intervention and Prevention, sponsored by Fangbiao Tao. Not yet recruiting at 1 site in China. Open to female participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-05-12.

Sponsored by Fangbiao Tao · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
400
Allocation
Randomized
Ages
18 Years and older
Sex
Female
01

Study summary

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

02

Conditions studied

  • Mobile Health Apps
  • Lifestyle Intervention
  • Prevention
  • Multi-component Based Behavioral Intervention

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Keywords

  • Prevention
  • Gestational diabetes mellitus
  • Mobile health
  • Randomized controlled trial
03

In context

Diabetes, Gestational

842 studies on the registry are indexed under Diabetes, Gestational; 198 are open to participants now.

This study's planned enrollment of 400 is above the median of 110 across 550 interventional studies indexed under Diabetes, Gestational.

Browse Diabetes, Gestational studies →

Lead sponsor

Fangbiao Tao is the lead sponsor of 10 studies on the registry; 8 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
Female
Accepts healthy volunteers
Yes

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

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
05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
400 participants (estimated)

Study arms

  • 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

  • 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.

Interventions

  • BehavioralMulti-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.

06

What researchers measure

Primary outcomes

  1. The prevalence of gestational diabetes mellitus

    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

    Time frame: 24 Weeks

Secondary outcomes

  1. Adverse pregnancy and adverse birth outcomes

    Maternal pregnancy outcomes and general neonatal outcomes were collected via self administered scales

    Time frame: 42 days postpartum

07

Study locations

1 site
08

References and documents

Publications

  • Duan B, Liu L, Ma C, Liu Z, Gou B, Liu W. Effects of mobile health management model on the prevention of gestational diabetes mellitus in pregnant women at risk of gestational diabetes: A randomized controlled trial. Int J Nurs Stud. 2026 Jan;173:105252. doi: 10.1016/j.ijnurstu.2025.105252. Epub 2025 Oct 16. PubMed 41135300 ↗

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 12, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07582068
Lead sponsor
Fangbiao Tao
Responsible party
Fangbiao Tao (Professor, Anhui Medical University) — Sponsor-investigator
First posted
May 12, 2026
Start date
Aug 10, 2026 (estimated)
Primary completion
Dec 31, 2027 (estimated)
Completion
Dec 31, 2027 (estimated)
Last update
May 12, 2026

Study contacts

Fangbiao Tao, PhD
Contact
taofangbiao@126.com
13856986775
Tiemei Li, PhD
Contact
tiemei.li@foxmail.com
13541602092

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in May 2026. You cannot join it, but the record below documents what was studied.

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