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Principal Investigator
Name
Yikyung Park
Degrees
Sc.D
Institution
Washington University in St. Louis
Position Title
Associate professor
Email
About this CDAS Project
Study
IDATA (Learn more about this study)
Project ID
2019-0001
Initial CDAS Request Approval
Sep 11, 2020
Title
Temporal dietary patterns and metabolic markers
Summary
Dietary patterns represent the totality of individual’s diet by capturing the overall quality of diet as well as its constituent foods and nutrients. Commonly used dietary patterns are a priori diet score/index based on a set of dietary recommendations for a healthy diet or data-driven dietary patterns. These dietary patterns were related to the risk of chronic diseases such as heart disease, diabetes, and cancer. However, none of these dietary patterns incorporates eating behavior such as when we eat (i.e., eating time) and how often we eat (i.e. eating frequency) during a day. Emerging evidence suggest that eating time and frequency as well as a meal composition play roles in body weight regulation and metabolic health. Therefore, we are currently developing temporal dietary patterns using the IDATA study (Project ID: IDATA11) and examining the characteristics of the temporal patterns. We would like to expand the project IDATA11 and investigate if the temporal dietary patterns are associated with metabolic and inflammatory biomarkers.
Aims

1. To investigate whether the temporal dietary patterns are associated with metabolic biomarkers.
2. To investigate whether the temporal dietary patterns are associated with inflammatory markers.

Collaborators

Yikyung Park (Washington University in St. Louis)