scholarly journals Trait and state anxiety in male and female cross-country runners.

1983 ◽  
Vol 17 (1) ◽  
pp. 24-26 ◽  
Author(s):  
F. H. Sanderson ◽  
T. Reilly
1990 ◽  
Vol 2 (4) ◽  
pp. 313-321 ◽  
Author(s):  
Lee N. Cunningham

To compare the physiologic differences between adolescent male and female cross-country runners, 12 male and 12 female high school nonelite distance runners who had competed successfully at the All State 5-km championship cross-country meet were tested in the laboratory. Data were analyzed in relation to maximal oxygen consumption (VO2max), ventilatory threshold (VT), and running economy (RE). Male runners were taller, heavier, had less body fat, and ran faster by 2 minutes and 18 seconds than female runners. Running economy was similar between gender. VO2 at a 215 m•min−1 pace was 46.7 ml•kg−1•min−1 for male runners and 47.8 ml•kg−1•min−1 for female runners. At the VT, males demonstrated a higher VO2 and treadmill velocity than females. Heart rate, percent HR max, and percent VO2 max at the VT were not different between gender. Males demonstrated a higher VO2 max of 74.6 versus 66.1 ml•kg−1•min−1 than female runners. The fractional utilization of VO2 at race pace was not different between males (90%) and females (91%). In conclusion, the primary physiologic determinant for performance differences between nonelite, competitive male and female adolescent distance runners is associated with VO2 max.


2020 ◽  
Vol 38 (5) ◽  
pp. 542-551
Author(s):  
C. Nathan Vannatta ◽  
Thomas G. Almonroeder ◽  
Thomas W. Kernozek ◽  
Stacey Meardon

1988 ◽  
Vol 2 (4) ◽  
pp. 298-313 ◽  
Author(s):  
Thomas W. Hanson ◽  
Daniel Gould

This study assessed the ability of coaches to estimate their athletes’ A-trait and A-state levels, examined variables influencing this ability, and attempted to identify what physical or behavioral cues coaches use in assessing the anxiety levels of their athletes. Collegiate cross-country coaches (N=126) and athletes served as subjects. Overall, the coaches were found to be inaccurate estimators of both levels, accounting for less than 8% of the variance. Multiple regression analyses also revealed that the coach’s age was a significant predictor of ability to assess an athlete’s A-trait level, and the size of the team affected a coach’s A-state estimating ability. Coaches of women’s teams were significantly more accurate than coaches of men’s teams in their estimates of A-trait and A-state levels. Finally, coaches rated changes in athletes’ communication levels and behavior patterns as the most important cues to look for when assessing anxiety levels.


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