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Activity Number: 515 - Statistical Modeling for Sports Science and Applications
Type: Contributed
Date/Time: Wednesday, August 2, 2017 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Sports
Abstract #324243
Title: Leveraging Multivariate Modeling and Mapping Techniques to Determine How Athletes' Gastro-Intestinal Comfort Drives Their Sensory Perception of Sports Beverages
Author(s): Peter John De Chavez* and Jon K. Davis and Lindsay B. Baker and John R. Stofan and Laura Daray and Bridget Sopena
Companies: PepsiCo and Gatorade Sports Science Institute and Gatorade Sports Science Institute and Gatorade Sports Science Institute and Gatorade Sports Science Institute and Gatorade Sports Science Institute
Keywords: multivariate modeling ; sports science ; multivariate mapping ; multi-collinearity ; short and wide data

Consuming a sports drink is an important part of an athlete's regimen for the provision of carbohydrate and replacement of fluid and electrolytes lost during physical activity. However, sports beverages have ingredients that may impact gastro-intestinal (GI) comfort among athletes who consume them, which in turn may impact the sensory perception of the said beverages during exercise. Hence, it is important to establish the relationship between sensory perception and GI comfort as it provides insights such as: (1) comparison of hydration products relative to the sensory and GI endpoints, and (2) the manner by which GI comfort drives sensory and hedonic perception of the said products by athletes. Establishing this relationship is not straight-forward because of several data issues: e.g., multi-collinear endpoints describing sensory perception and GI comfort, and a small number of treatments relative to the number of endpoints. This study explores multivariate modeling and mapping techniques that allow us to obtain the aforementioned insights from data with constraints on multi-collinearity and small treatment size.

Authors who are presenting talks have a * after their name.

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