Tracking Competitive Season Training Load via TRIMP in a Collegiate Distance Runner: A Case Study Public Deposited

http://ir.library.oregonstate.edu/concern/undergraduate_thesis_or_projects/5d86p205w

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  • Objectively quantifying workload is challenging due to a variety of factors. One way to measure workload is by training impulse (TRIMP). TRIMP uses time in physiologically significant heart rate zones to quantify a workload for a given bout of physical activity. Tracking average workload over time can then be used to assess individual fitness and fatigue levels. This method has been used in elite male cyclists and recreational male distance runners, but not female endurance athletes. This study assesses the acute and chronic exercise training load placed upon a female collegiate distance runner by quantifying time spent in physiologically significant heart rate zones. One individual was observed over a six-month period during the fall collegiate cross country training and competitive season. Heart rate was recorded with a wearable monitor, and TRIMP scores were calculated via the SportTracks 3.1 computer software. Heart rate zones were determined by a 3-minute, 30-second endurance capacity test. Chronic training load (CTL) increased as mileage and overall workout intensities increased. Acute training load (ATL) generally decreased preceding competitions. Race performance did not consistently reflect training stress balance (TSB) scores. Although the TSB scores prior to important races were positive, a successful race outcome did not always occur. However, the participant’s most successful race did follow the most positive TSB score.
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  • description.provenance : Submitted by Morgan Anderson (andersmo@oregonstate.edu) on 2016-06-03T20:17:08Z No. of bitstreams: 1 AndersonMorganJ2016.pdf: 544260 bytes, checksum: 206177f3a9ac98d9bd762c165e92af01 (MD5)
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2016-06-07T17:53:30Z (GMT) No. of bitstreams: 1 AndersonMorganJ2016.pdf: 544260 bytes, checksum: 206177f3a9ac98d9bd762c165e92af01 (MD5)

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