Glucose Intolerance During Pregnancy

The goal of this clinical trial is to examine how daily behavioral patterns in early pregnancy, including sleep, physical activity, and meal timing, influence continuous glucose dynamics and subsequent risk of gestational diabetes mellitus (GDM) in pregnant women without pre-existing diabetes. The main questions it aims to answer are: 1. Do early-pregnancy chronobehavioral patterns (e.g., irregular sleep, night eating, and unstable rest-activity rhythms) relate to continuous glucose patterns measured using continuous glucose monitoring (CGM)? 2. Can early behavioral and CGM-derived measures predict glucose regulation and metabolic outcomes later in pregnancy (24-28 weeks)? 3. Does real-time self-monitoring using wearable devices and food logging improve glycemic outcomes compared to usual care? This study is a prospective, nested randomized pilot trial embedded within the ongoing Towards Optimal Fertility, Fathering and Fatherhood studY (TOFFFY) cohort (NCT06293235) at KK Women's and Children's Hospital, Singapore. A total of 140 pregnant women without pre-existing diabetes, recruited at ≤13 weeks gestation, will be randomized in a 1:1 ratio to either a pilot arm (wearable-based self-monitoring) or a control arm (usual care). Participants in the pilot arm (n=70) will undergo intensive behavioral and metabolic monitoring over a 14-day period in early pregnancy, including continuous glucose monitoring using a CGM device, wrist actigraphy to assess sleep-wake and rest-activity patterns, and an AI-supported mobile application to record meal timing and dietary intake. Participants will have real-time access to their glucose data and behavioral feedback, enabling self-monitoring and potential behavioral adjustments.

The effects of consuming non-nutritive sweeteners (NNS) during pregnancy and lactation on infant obesity and cardiometabolic disease risk are not well understood. In this project, pregnant women who frequently consume NNS will be randomly assigned to an NNS-restriction intervention (NNS restriction during pregnancy and lactation or during lactation only) or a control group (no NNS restriction) to determine whether NNS consumption during pregnancy and/or lactation affects infant body composition, maternal blood sugar during pregnancy, and the infants' gut microbiome and metabolome. The results of this study have the potential to shape recommendations around NNS consumption during pregnancy and lactation, thereby potentially improving maternal and infant metabolic health and reducing the global burden of obesity and cardiometabolic disease.

The goal of this randomized, double-blind, placebo-controlled study included pregnant women at high risk of GDM at 6-15 weeks of gestation is to investigate whether supplementation with vitamin D (1600 IU per day) or prebiotics (inulin, 10 gram per day) during pregnancy has beneficial effects on controlling blood glucose during pregnancy.

The primary objective of the STRIVE study is to compare two implementation strategies for Diabetes Prevention Program delivery: an in-person health coach strategy (standard 24 in-person sessions at WIC clinics) vs. a multifaceted technology-assisted health coach implementation strategy (12 in-person sessions at WIC clinics supplemented by technology support) on implementation and health-related outcomes in postpartum women.

Pregnant women aged 18-40 with gestational diabetes (GDM) will take part in this study. We want to see how two different insulin treatments affect their blood sugar after they eat. These women usually use a rapid-acting insulin analog (RAA) that's injected to control their blood sugar before and after meals. They will come to the clinic for two meal sessions. For the first meal, we will randomly decide if they will use the usual RAA insulin or a newer inhaled insulin called technosphere insulin (TI). They will use the other type of insulin for their second meal. After each meal, we will compare their blood sugar levels.

This new feasibility pilot study aims to refine the design and protocols for a larger trial that will investigate the potential benefits of early oral glucose tolerance test (OGTT) screening in a population traditionally defined as low-risk for development of gestational diabetes. The study will evaluate its potential effectiveness in reducing the risks of neonatal morbidity/mortality and obstetric complications. Additionally, a machine learning algorithm to predict gestational diabetes mellitus (GDM) risk based on routinely obtained clinical information at pregnancy booking, and minimally invasive methods, such as continuous glucose monitoring (CGM) and gingival crevicular fluid (GCF) sampling, are being explored to predict the risk of hyperglycaemia. This study aims to investigate the utility of early pregnancy screening to enable timely detection and management of early gestational diabetes development in a low-risk population, ultimately promoting better health outcomes for mothers and their babies.

Both 50 gr OGTT-100 gr OGTT and 75 gr OGTT are used for detecting gestational diabetes mellitus. Two approaches are approved by obstetricians. With this study, we aim to compare the gestational diabetes mellitus detection rate of these different tests.