Modeling Metabolic Syndrome with Biomarkers.

• Activity Number: 522 - Contributed Poster Presentations: Biometrics Section
• Type: Contributed
• Date/Time: Wednesday, July 31, 2019 : 10:30 AM to 12:20 PM
• Sponsor: Biometrics Section
• Author(s): Alexander Nielson* and Adam Baker and David Aguilar-Alvarez and Julian Chan
• Companies: Weber State University and Weber State University and Weber State University and Weber State University
• Keywords: Health; Applied Statistics; Model Selection

Abstract

We investigated the factors of Metabolic Syndrome. In particular, we hypothesize that variation in the consumption amount and the percentage of daily calorie goals for each of the five food groups (grains, fruits, vegetables, dairy, protein and empty calories) will significantly modulate Metabolic Syndrome in the study participants.