Predictors of Maternal Weight Gain and Neonatal Body Composition



Status:Terminated
Conditions:Obesity Weight Loss
Therapuetic Areas:Endocrinology
Healthy:No
Age Range:18 - 45
Updated:5/20/2018
Start Date:November 2006
End Date:July 2008

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Resting Metabolic Rate, Insulin Resistance, and Attitude Towards Weight Gain During Pregnancy to Predict Maternal Weight Gain and Neonatal Body Composition.

Obesity is a significant health issue in the United States with 30% of the US population
considered obese defined as a body mass index above 30 kg/m2. Obesity is associated with long
term health complications including diabetes and cardiovascular disorders. During pregnancy,
obesity is associated with an increased risk of fetal macrosomia and birth injury, as well as
increased risk of gestational diabetes, preeclampsia, cesarean birth, and preterm birth. The
intrauterine environment has been purported to influence the early childhood and lifelong
risk of obesity and the metabolic syndrome (obesity, hyperlipidemia, and insulin resistance
[IR]). The Institute of Medicine guidelines for maternal weight gain in pregnancy provide an
estimate for population goals, but may be inadequate for individual patient needs. Other
factors, such as the degree of maternal IR and resting metabolic rate (RMR) may be more
predictive of actual nutritional needs during pregnancy. A better determination of caloric
and exercise needs may allow the development of more specific dietary recommendations during
pregnancy. Optimal nutrition will result in improved maternal and neonatal outcomes. As the
intrauterine environment may have important impacts on neonatal and childhood metabolic and
cardiovascular outcomes, creation of a favorable intrauterine environment through optimal
maternal nutritional and exercise guidelines may reduce well documented problems such as
fetal macrosomia, birth injury, cesarean delivery, and later predisposition toward childhood
obesity.

The goal of this pilot trial therefore is to correlate maternal resting metabolic rate,
dietary characteristics, and insulin resistance levels with fetal birth weight and body
composition in an effort to determine which factors are associated with excessive fat mass in
the neonate, placing them at increased lifetime risk of obesity.

We hypothesize that women with lower resting metabolic rates (RMR) in the first trimester
will demonstrate a greater maternal weight gain, when adjusted for caloric intake and
activity. It is also hypothesized that for a given RMR, the degree of maternal insulin
resistance (IR) predicts birthweight adjusted for a given caloric intake. A third hypothesis
is that women with increased insulin resistance (measured by HOMA) will result in neonates
with larger birth weights and a greater degree of neonatal fat mass as measure by DEXA scan,
adjusted for RMR and diet characteristics.


Inclusion Criteria:

- Women must be obtaining prenatal care at Cannon Place clinic or at the Prenatal
Wellness Center

- Enrolled for prenatal care at less than 16 weeks gestational age

- Singleton pregnancy without fetal abnormalities

- Ability to provide informed consent

- Subjects must complete prenatal visits when data will be collected, and be willing and
able to attend three GCRC study visits

- Maternal age >18 and <45

- Neonate born to mother enrolled in trial

Exclusion Criteria:

- Subjects with diabetes, hypertension, prior preterm birth, chronic respiratory disease
(asthma on daily medication, COPD, cystic fibrosis) or maternal cardiac disease

- Subjects currently taking insulin sensitizing medications (metformin)

- Subject unable to perform MedGem procedure

- Neonates delivered prior to 34 weeks gestational age will be excluded from analysis by
the DEXA scan

- Neonates with fetal anomalies diagnoses in the antenatal period or postpartum will not
be included in the study
We found this trial at
1
site
171 Ashley Avenue
Charleston, South Carolina 29425
843-792-1414
Medical University of South Carolina The Medical University of South Carolina (MUSC) has grown from...
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mi
from
Charleston, SC
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