Digital Commons@Lindenwood University - 2024 Student Academic Showcase: Effect of Sleep Duration and Quality on External Workload in Women's Collegiate Lacrosse Athletes
 

Effect of Sleep Duration and Quality on External Workload in Women's Collegiate Lacrosse Athletes

Presenter Information

Paige Sutton, Lindenwood University

Start Date

9-4-2024 12:00 AM

Description

PURPOSE: Determine the relationship between self-reported sleep parameters and measures of external workload during training.

METHODS: Twenty NCAA DI women’s lacrosse athletes participated in this study. Athletes wore Polar Team Pro monitors during off-season training and completed a morning sleep questionnaire for four weeks. Workload was evaluated via total distance (TD), high-speed distance (HSR), rate of distance (rDIST, m/min), and relative high-speed distance (rHSR, %TD). Self-reported sleep duration (SD) was recorded in hours and sleep quality (SQ) on a 5-point scale. Linear regression analysis evaluated the relationship between sleep and workload measures while adjusting for training sessions. RESULTS: SD did not significantly predict TD (p = 0.467), HSR (p = 0.058), or rDIST (p = 0.117). However, SD had a significant relationship with rHSR (p = 0.012). SQ did not significantly predict TD (p = 0.963), HSR (p = 0.515), rDIST (p = 0.106), or rHSR (p = 0.412).

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Apr 9th, 12:00 AM

Effect of Sleep Duration and Quality on External Workload in Women's Collegiate Lacrosse Athletes

PURPOSE: Determine the relationship between self-reported sleep parameters and measures of external workload during training.

METHODS: Twenty NCAA DI women’s lacrosse athletes participated in this study. Athletes wore Polar Team Pro monitors during off-season training and completed a morning sleep questionnaire for four weeks. Workload was evaluated via total distance (TD), high-speed distance (HSR), rate of distance (rDIST, m/min), and relative high-speed distance (rHSR, %TD). Self-reported sleep duration (SD) was recorded in hours and sleep quality (SQ) on a 5-point scale. Linear regression analysis evaluated the relationship between sleep and workload measures while adjusting for training sessions. RESULTS: SD did not significantly predict TD (p = 0.467), HSR (p = 0.058), or rDIST (p = 0.117). However, SD had a significant relationship with rHSR (p = 0.012). SQ did not significantly predict TD (p = 0.963), HSR (p = 0.515), rDIST (p = 0.106), or rHSR (p = 0.412).