Term of Award

Spring 2010

Degree Name

Master of Science in Kinesiology (M.S.)

Document Type and Release Option

Thesis (open access)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


Department of Health and Kinesiology

Committee Chair

Thomas Buckley

Committee Member 1

Stephen Rossi

Committee Member 2

Jim McMillan

Committee Member 3

Barry Joyner

Committee Member 3 Email



Objective: To monitor the stress and recovery of college swimmers throughout a competitive season. The priori hypothesis was that RESTQ-SPORT scores will change with changes in training load through the season Patients or Other Participants: 23 female swimmers (mean age = 19.48±1.16, mean height = 168.6 cm ± 5.5, mean weight = 65.91kg ± 7.78) that were members of a southeastern Division I intercollegiate swim team. Interventions: The training load was measured using session rate of perceived exertion (RPE). RPE uses a 0-10 Borg scale to define effort. Each individual's daily score was multiplied by practice duration to give a training load. The RESTQ-SPORT 76 was given monthly. The data was then placed into the RESTQ-SPORT computer program to calculate scores. Main Outcome Measures: RESTQ-SPORT 76 mean scores for recovery-stress state, global stress, and global recovery were recorded to two decimal places. A repeated measures ANOVA was run on each mean and significance was set at p=0.05. Results: There was a significant time effect for scores over the season (F5=4.67; P<.001) for RESTQ total. A simple contrast using the initial RESTQ-Sport as a baseline (M=9.85 ± 10.34) showed the RESTQ total was significantly less at time point 2 (F1=9.55, M=4.14 ± 10.06 P=.006) and time point 4 (F1=5.88, M=11.65 P=.026). There was no significance for global recovery. Global stress showed a significant time effect for scores over the season (F5=9.85, P<.001). There was no group effect or interaction. A simple contrast using the initial RESTQ-Sport as a baseline (M=19.60 ± 5.71) showed that time point 2 (F1=21.23, M=24.00 ± 6.80 P<.001), time point 4 (F1=20.96, M=26.08 ± 7.72 P<.001), and time point 5 (F1=4.54, M=22.89 ± 7.68 P=.047) were significantly less than baseline. The highest training loads were seen at time points 2 and 4. Conclusions: The study shows that as training load increases through a season, the internal stress increases. This can lead to an increased risk of underrecovery. Swimmers need to be taught better strategies for recovery to gain the intended training effects and improve performance.

Research Data and Supplementary Material