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Activity Number:
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413
- Section on Statistics in Sports Cpapers
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Education
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Abstract #330374
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Presentation
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Title:
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Linking Whole Body Sweat Measurements with Regional Body Sweat Measurements Using Multivariate Mapping Techniques
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Author(s):
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Peter John De Chavez* and Kelly Barnes and Lindsay Baker and Jason Parcon
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Companies:
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PepsiCo and Gatorade Sports Science Institute, PepsiCo and Gatorade Sports Science Institute, PepsiCo and PepsiCo
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Keywords:
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Athlete's sweat rate;
PLS regression
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Abstract:
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Estimation of whole body (WB) sweat rate (SR) and electrolyte concentration (EC) among athletes is important in making recommendations for personalizing fluid replacement. Thus, there has been interest in practical methods to measure sweat fluid and electrolyte losses during exercise. Some practical methods are regional (REG) measurements using absorbent patches placed on specific anatomical sites. However, few studies have investigated the relation between REG absorbent patch method vs. WB for both SR and EC. A body map of sweating patterns for REG SR and EC could help inform best practices in athlete sweat-testing by providing insight on which anatomical sites may be better predictors of WB sweat responses. This presentation discusses a study where SR and EC were obtained at REG and WB levels. There were 9 anatomical sites considered, and the primary aim is to determine how REG measurements are related to WB measurements. In particular, we will focus on how mapping techniques like partial least squares regression are used to get a quick snapshot of which anatomical sites are linked to WB, and those REG measurements will be considered for further statistical analyses.
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Authors who are presenting talks have a * after their name.
