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Thesis - University Access Only
Master of Science (MS)
Department / School
Health and Nutritional Sciences
OBJECTIVES: The aim of this project is to establish a new regression equation that could be used to accurately estimate an individual's maximum oxygen uptake (VO2PEAK) from a submaximal shuttle test. A VO2PEAK test requires a considerable amount of time and expensive equipment that is not available to many organizations including athletic departments. If a submaximal test could be developed that accurately predicts VO2PEAK in athletes, specifically soccer players, coaches could test athletes in a safe and efficient manner that would not take expensive equipment. The purpose of this project is for individuals to perform a submaximal shuttle test during which a number of variables will be collected including heart rate. The data obtained will be used to develop a multiple regression equation that can be used to predict or estimate VO2PEAK.
PARTICIPANTS: Young women within the ages of 18-24 with varying degrees of physical fitness levels were recruited and/or asked to volunteer for this study. The aim was to recruit at least 50 individuals participating in soccer and basketball at South Dakota State University (SDSU), but only 20 SDSU soccer players participated.
METHODS: Anthropometric measurements were taken on the subjects via abdomen, waist, and hip circumferences to determine waist-to-hip ratio, 3-site skinfold test, and BOD POD to determine body composition. The 20m shuttle test was conducted on each participant while wearing Polar heart rate monitors to collect heart rate (HR) data. The 20m shuttle data was then compared to a VO2PEAK test on the treadmill used to measure maximal oxygen consumption.
RESULTS: The final prediction equation model of the SDSU equation included maximal velocity (P=0.0007) and abdominal circumference (P=0.0001) resulting in the following equation; VO2PEAK = 35.415 + [3.293 x max velocity (km/hr)] + [-0.401 x abd. Circumf (cm)]. The SDSU equation provides less variation in the prediction of VO2PEAK compared to that of previously used prediction equations displaying correlations of R=0.77, SEE=1.58, ICC=0.88, and confidence limits of -5.9 – 6.0 between predicted and measured VO2PEAK
CONCLUSION: With the use of today’s technology, a new prediction equation was successfully derived in which variability was significantly reduced between predicted VO2PEAK and measured VO2PEAK. However, cross validation of the new equation should be done on a less homogeneous population as this study used Division I Soccer players as its test and control populations.
Library of Congress Subject Headings
Women soccer players
Physical fitness for women
Includes bibliographical references (pages 32-34)
Number of Pages
South Dakota State University
In Copyright - Educational Use Permitted
Ogden, Logan, "Field Testing to Determine the Fitness Level of Division I Collegiate Women Soccer Players" (2013). Electronic Theses and Dissertations. 1616.