Relations among Heavy Training Stress, Mood State, and Performance for Male Junior Rowers

2002 ◽  
Vol 95 (2) ◽  
pp. 520-526 ◽  
Author(s):  
Jaak Jürimäe ◽  
Jarek Mäestu ◽  
Priit Purge ◽  
Toivo Jürimäe ◽  
Terje Sööt

This study investigated the influence of rapidly increased training volume on performance and recovery-stress state perceived by 10 male junior rowers. The training during the 6-day period amounted to 21.5 ± 2.2 hr., which was equivalent to an average increase in training load by approximately 100% compared to their average training volume during the previous 4 wk. The time to row 2,000 m on a rowing ergometer and resting cortisol level were significantly increased after the 6-day training period. Scores on subscales of the Recovery Stress Questionnaire for Athletes significantly increased for somatic component of stress (Fatigue) and decreased factor indicating recovery (Social Relaxation) after the heavy training period. A correlation of .63 was found between increased training volume and scores on the Conflicts/Pressure subscale at the end of the heavy training period. Correlations were also found between changes in training volume with changes on subscales of Sleep Quality ( r = −.64) and Burnout/Personal Accomplishment ( r = −.66). Changes in resting cortisol levels as a result of heavy training stress were related to the changes in the following stress subscales: Social Stress ( r = .76), Fatigue ( r = .64), Disturbed Breaks ( r = .65), and Fitness/Injury ( r = 67). Changes in performance, perceived recovery-stress state and resting plasma cortisol level reflect increased stress due to high training. These results suggest that the Recovery Stress Questionnaire for Athletes could be used to evaluate the effects of rapidly increased training volume for male junior rowers.

2021 ◽  
Vol 16 (2) ◽  
pp. 101-111
Author(s):  
Ashlyne Paige Vineyard ◽  
Andrew Gallucci ◽  
Kathleen Adair ◽  
Leslie Oglesby ◽  
Kristina White ◽  
...  

Context Burnout is a psychological syndrome consisting of increased emotional exhaustion (EE), depersonalization (DP), and decreased personal accomplishment (PA). To date, examinations of burnout among athletic training students (ATS) is limited. Objective To determine prevalence and antecedents of burnout among ATS. Design Cross-sectional study. Setting Web-based survey. Patients or Other Participants Students enrolled in athletic training programs (ATP). Intervention(s) A survey assessed demographics, stressors, and burnout measured by the Maslach Burnout Inventory–Human Services Survey. Main Outcome Measure(s) Multiple regression analyses were used to determine relationships between variables. Results A total of 725 students participated. Most respondents were undergraduates (n = 582, 80%), female (n = 518, 71%), Caucasian (n = 564, 78%), and single (n = 422, 58%). Mean burnout scores for EE, DP, and PA were 33 ± 10, 17 ± 4.5, and 39 ± 5.8, respectively. Survey responses showed that 70.8% of undergraduate and 62.9% of graduate students reported high EE. All the students (100%) in both samples reported high DP. Undergraduates pursuing internships or residencies (b = −7.69, P < .001) and who were currently enrolled in non–Division I institutions (b = −2.90, P < .01) had decreased EE. Increased stress revealed increased EE (overall stress: b = 3.11, P < .001; social stress: b = 1.32, P < .05; class stress: b = 1.45, P < .05). Increases in clinical hours also related to increased EE (b = 1.49, P < .001). Those pursuing internships or residencies (b = −2.10, P < .05) and who were female (b = −2.10, P < .05) reported decreased DP. Being married (b = 2.87, P < .01), increased clinical hours (b = 0.77, P < .001), and social stress (b = 0.59, P < .05) resulted in increased DP. Increased PA was seen in students intending to pursue graduate education (b = 1.76, P < .05) and female students (b = 1.17, P < .05). Graduate students' stress levels revealed increased EE (b = 6.57, P < .01) and DP (b = 0.98, P < .05). Conclusions Differences exist between undergraduate and graduate burnout scores and associated predictors. Further research is needed to identify student responses to burnout.


2017 ◽  
pp. 3-18 ◽  
Author(s):  
Jahan Heidari ◽  
Sarah Kölling ◽  
Maximilian Pelka ◽  
Michael Kellmann
Keyword(s):  

2018 ◽  
Vol 9 ◽  
Author(s):  
Robert Collette ◽  
Michael Kellmann ◽  
Alexander Ferrauti ◽  
Tim Meyer ◽  
Mark Pfeiffer

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