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 type | Interventional |
|---|---|
| Ages | 21 Years to 39 Years |
| Sex | Women only |
| Enrollment | 140 (estimated) |
| Sponsor | KK Women's and Children's Hospital Government |
| Locations | 1 site (Singapore, Singapore) |
| Status | Recruiting |
| Started | May 1, 2026 |
| Main results expected | April 30, 2027 |
| Study ends | June 30, 2027 |
| Registry record updated | September 15, 2026 |
| Trial ID | NCT07534670 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
- Principal investigator: See Ling Loy — KK Women's and Children's Hospital
- Study coordinator: Benjarat Oh
- Email: benjarat.oh@kkh.com.sg
- Phone: +6563948105
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.