Clinical trial Recruiting at 1 site Interventional Ages 21 to 39 Women only

Early pregnancy lifestyle patterns and glucose changes in a TOFFFY sub-study

Official title: Early-Pregnancy Chronobehavioural Profiles and Continuous Glucose Dynamics: A Nested Randomised Pilot Study of TOFFFY

Run by KK Women's and Children's Hospital · NCT07534670 · Data updated 2026-11-12

This study tests whether daily patterns like sleep, activity, and meal timing in early pregnancy affect glucose levels and the risk of gestational diabetes, using CGM and wearable data in pregnant women in Singapore.

Quick facts

Study typeInterventional
Ages21 Years to 39 Years
SexWomen only
Enrollment140 (estimated)
SponsorKK Women's and Children's Hospital
Government
Locations1 site (Singapore, Singapore)
StatusRecruiting
StartedMay 1, 2026
Main results expectedApril 30, 2027
Study endsJune 30, 2027
Registry record updatedSeptember 15, 2026
Trial IDNCT07534670 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Pregnant women ≤13 weeks gestation enrolled in the TOFFFY study without pre-existing diabetes or conditions affecting glucose metabolism.

Probably not a fit

Those with pre-existing diabetes, multiple gestation, or conditions that severely limit study participation may not benefit from this approach.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This is a nested randomized pilot trial within the TOFFFY cohort at KK Women's and Children's Hospital. It uses continuous glucose monitoring, wrist actigraphy, and a diet-logging app to characterize how chronobiology and meal timing relate to glucose dynamics in early pregnancy. The study aims to see if early behavioral and CGM-derived measures can predict later glucose regulation and metabolic outcomes, and whether real-time self-monitoring improves glycemic outcomes versus usual care. Eligible participants are pregnant women ≤13 weeks gestation enrolled in TOFFFY, excluding those with pre-existing diabetes or conditions affecting glucose metabolism. The intervention explores whether wearable and digital tools can identify at-risk individuals early and guide interventions to prevent GDM.

Why it matters

Potential benefit: If successful, this approach could enable earlier identification and personalized guidance to reduce the risk of gestational diabetes.

How similar studies have gone: Previous work shows promise using CGM and wearable data to understand metabolic patterns in pregnancy, but this exact nested pilot with real-time self-monitoring is exploratory in nature.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Enrolled in the Towards Optimal Fertility, Fathering and Fatherhood studY (TOFFFY) (NCT06293235)
* Females who are currently pregnant and with viable intrauterine pregnancy at ≤13 weeks gestation at enrolment

Exclusion Criteria:

* Females with pre-existing diabetes mellitus (Type 1 or Type 2) and/or chronic medical conditions affecting glucose metabolism
* Females who are taking medications known to significantly affect glucose metabolism
* Females with multiple pregnancy (e.g., twins or higher-order gestation)
* Females who are unable to comply with study procedures, including: Inability to use smartphone-based applications and inability to wear wrist actigraphy device

Where it's running

  • KK Women's and Children's Hospital
    Singapore, Singapore, Singapore
    Recruiting

Study contacts

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.