Purpose

This study plans to learn more about how triglyceride levels in pregnancy affect newborn fat mass. Obesity in pregnancy, in the absence of gestational diabetes, is now the most common cause of large-for-gestational-age infants and increased newborn fat mass. Previous data supports the idea that maternal triglycerides, not glucose, are the strongest predictor of both total newborn fat mass and liver fat. In this study, mothers will monitor triglyceride and glucose levels at specific points in pregnancy using point-of-care meters at home. Two weeks after birth, infants will have total fat measured by air-displacement plethysmography (PEAPOD) and liver fat measures by Magnetic Resonance Spectroscopy (MRS). The central hypothesis is that in obesity, fasting triglycerides and postprandial triglycerides will predict newborn fat mass in a free-living environment.

Condition

Eligibility

Eligible Ages
Between 0 Years and 39 Years
Eligible Sex
All
Accepts Healthy Volunteers
Yes

Inclusion Criteria

  • Pregnant women less than 16 weeks gestational age - Between the ages of 21-39 years - Pre-pregnancy BMI 28-39 kg/m2

Exclusion Criteria

  • Pre-gestational diabetes or prediabetes - History of gestational diabetes - History of pre-eclampsia, spontaneous pre-term delivery, or gestational hypertension <34wks - Tobacco or illicit substance use - Chronic steroid use

Study Design

Phase
Study Type
Observational
Observational Model
Cohort
Time Perspective
Prospective

Recruiting Locations

University of Colorado/Anschutz Medical Campus
Aurora, Colorado 80045
Contact:
Emily Dunn, MS, RDN
303-724-0320
Emily.2.Dunn@cuanschutz.edu

More Details

NCT ID
NCT04394806
Status
Recruiting
Sponsor
University of Colorado, Denver

Study Contact

Emily Z Dunn, MS, RDN
303-724-0320
Emily.2.Dunn@cuanschutz.edu

Notice

Study information shown on this site is derived from ClinicalTrials.gov (a public registry operated by the National Institutes of Health). The listing of studies provided is not certain to be all studies for which you might be eligible. Furthermore, study eligibility requirements can be difficult to understand and may change over time, so it is wise to speak with your medical care provider and individual research study teams when making decisions related to participation.