Posters

Relationship Between Self-Reported Fatigue, Sleep Quantity, and Baseline Neurocognitive Test Scores

Student Author Information

Bryanna GarrettFollow

Location

Hall Memorial Ballroom

Access Type

Campus Access Only

Start Date

4-4-2018 12:00 PM

Department

Athletic Training

Abstract

Context: Concussion baseline testing is important for athletic trainers because it provides patients’ normal cognitive, physical, and behavioral states. Concussion baseline testing might be difficult for athletes who are mentally or physically tired and provide an inadequate measure of typical function. Capturing baseline data that does not represent best performance may result in inappropriate clinical decisions post-injury. Objective: To assess the relationship between self-reported fatigue, sleep quantity, and CNS Vital Signs (CNSVS) neurocognitive testing subsection scores. Design: Cross sectional study. Setting: Computer lab. Participants: A total of 159 (N=71 females, N=86 males, N=2 unspecified; age=19.17±1.150 years) voluntarily consented to participate in the study. Participants played soccer (N=72), basketball (N=2), lacrosse (N=83), and Unspecified (N=2) . Interventions: CNS Vital Signs neurocognitive testing subsection scores (reaction time, visual memory, verbal memory, executive function) served as the independent variables. Main Outcome Measures: Self-Reported fatigue ratings and sleep quantity served as the dependent variables. We determined self-reported fatigue on a scale that ranged from 0-100, 100 being completely awake and 0 being extremely exhausted. We used multiple linear regression to determine the relationship between the 4 subscales of CNSVS and each of the two dependent variables. Results: Average self-reported fatigue scores were 72.70±18.50 (range=15-100) and the number of sleep quantity 6.70±1.40 (range=4-11). We found a non-significant regression equation (F= 4,149 =.300, P=.870) using the 4 CNSVS subsection scores to predict participants’ self-reported fatigue rating. There was also a non-significant regression equation (F= 4,149 =1.300, P=.270) between sleep quantity and the 4 CNSVS subsection scores. Conclusion: Variations in self-reported fatigue ratings and sleep quantity do not alter neurocognitive performance as measured by the CNSVS subsection scores.

Faculty Mentor(s)

Thomas Bowman

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Apr 4th, 12:00 PM

Relationship Between Self-Reported Fatigue, Sleep Quantity, and Baseline Neurocognitive Test Scores

Hall Memorial Ballroom

Context: Concussion baseline testing is important for athletic trainers because it provides patients’ normal cognitive, physical, and behavioral states. Concussion baseline testing might be difficult for athletes who are mentally or physically tired and provide an inadequate measure of typical function. Capturing baseline data that does not represent best performance may result in inappropriate clinical decisions post-injury. Objective: To assess the relationship between self-reported fatigue, sleep quantity, and CNS Vital Signs (CNSVS) neurocognitive testing subsection scores. Design: Cross sectional study. Setting: Computer lab. Participants: A total of 159 (N=71 females, N=86 males, N=2 unspecified; age=19.17±1.150 years) voluntarily consented to participate in the study. Participants played soccer (N=72), basketball (N=2), lacrosse (N=83), and Unspecified (N=2) . Interventions: CNS Vital Signs neurocognitive testing subsection scores (reaction time, visual memory, verbal memory, executive function) served as the independent variables. Main Outcome Measures: Self-Reported fatigue ratings and sleep quantity served as the dependent variables. We determined self-reported fatigue on a scale that ranged from 0-100, 100 being completely awake and 0 being extremely exhausted. We used multiple linear regression to determine the relationship between the 4 subscales of CNSVS and each of the two dependent variables. Results: Average self-reported fatigue scores were 72.70±18.50 (range=15-100) and the number of sleep quantity 6.70±1.40 (range=4-11). We found a non-significant regression equation (F= 4,149 =.300, P=.870) using the 4 CNSVS subsection scores to predict participants’ self-reported fatigue rating. There was also a non-significant regression equation (F= 4,149 =1.300, P=.270) between sleep quantity and the 4 CNSVS subsection scores. Conclusion: Variations in self-reported fatigue ratings and sleep quantity do not alter neurocognitive performance as measured by the CNSVS subsection scores.