The Snack Study: The Feasibility of Changing Night-time Food Choices to Improve Glucose Tolerance in Pregnancy

NCT02634593 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 30

Last updated 2019-03-25

No results posted yet for this study

Summary

Obesity during pregnancy increases the risk for high glucose and diabetes in the mother, and for obesity and comorbid metabolic disease in the offspring. Results of previous intervention studies designed to improve the metabolic health of obese mothers, and thereby reduce the risk to their offspring, have been modest at best. Furthermore, few studies have proved to be efficacious among low income African American women who have high risk for the transmission of obesity to future generations. The purpose of this study is to examine the feasibility of changing the types of foods and drinks that are consumed at night during late pregnancy in order to improve maternal glucose tolerance and reduce the risk for future obesity in the child.

Conditions

Interventions

BEHAVIORAL

Low glycemic load snacks

Intervention to replace standard night-time food and drinks with lower glycemic load options

Sponsors & Collaborators

  • National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

    collaborator NIH
  • University of Alabama at Birmingham

    lead OTHER

Principal Investigators

  • Paula Chandler-Laney, PhD · University of Alabama at Birmingham

Study Design

Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
16 Years
Max Age
45 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2016-06-30
Primary Completion
2018-01-31
Completion
2019-01-31

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02634593 on ClinicalTrials.gov