, United States Track & Field [USATF]) send athletes who may not be expected to place high or medal. This strategy may be viewed as an investment in the future performances of these athletes by allowing them to gain experience at major international competitions. While this strategy carries a financial burden of
Search Results
World Championship and Olympic Games Experience Influences Future Medal Performance in Track-and-Field Athletes
Timothy J. Fulton, Marissa N. Baranauskas, and Robert F. Chapman
Thinking About Elite Performance: The Experience and Impact of Mental Fatigue in Elite Sport Coaching
Suzanna Russell, Shona L. Halson, David G. Jenkins, Steven B. Rynne, Bart Roelands, and Vincent G. Kelly
coaches experience mental fatigue, alongside other markers of psychobiological stress, during a preseason training phase. Second, the project aimed to explore the potential relationship between coach perceived mental fatigue and readiness to perform. Methods Subjects Coaching and performance staff (n = 3
The Influence of Playing Experience and Position on Injury Risk in NCAA Division I College Football Players
Robert McCunn, Hugh H.K. Fullagar, Sean Williams, Travis J. Halseth, John A. Sampson, and Andrew Murray
relatively novice athletes and those that have been within the program for several years and possess significant training/playing experience? Fortington and colleagues 7 observed a greater risk of injury among emerging Australian Rules football players compared to those with 3 or more years of
Aerobic Fitness, Maturation, and Training Experience in Youth Basketball
Humberto M. Carvalho, Manuel J. Coelho-e-Silva, Joey C. Eisenmann, and Robert M. Malina
Relationships among chronological age (CA), maturation, training experience, and body dimensions with peak oxygen uptake (VO2max) were considered in male basketball players 14–16 y of age. Data for all players included maturity status estimated as percentage of predicted adult height attained at the time of the study (Khamis-Roche protocol), years of training, body dimensions, and VO2max (incremental maximal test on a treadmill). Proportional allometric models derived from stepwise regressions were used to incorporate either CA or maturity status and to incorporate years of formal training in basketball. Estimates for size exponents (95% CI) from the separate allometric models for VO2max were height 2.16 (1.23–3.09), body mass 0.65 (0.37–0.93), and fat-free mass 0.73 (0.46–1.02). Body dimensions explained 39% to 44% of variance. The independent variables in the proportional allometric models explained 47% to 60% of variance in VO2max. Estimated maturity status (11–16% of explained variance) and training experience (7–11% of explained variance) were significant predictors with either body mass or estimated fat-free mass (P ≤ .01) but not with height. Biological maturity status and training experience in basketball had a significant contribution to VO2max via body mass and fat-free fat mass and also had an independent positive relation with aerobic performance. The results highlight the importance of considering variation associated with biological maturation in aerobic performance of late-adolescent boys.
Perceived Exertion in Coaches and Young Swimmers With Different Training Experience
Renato Barroso, Ronaldo K. Cardoso, Everton Crivoi Carmo, and Valmor Tricoli
Session rating of perceived exertion (SRPE) is a practical method to assess internal training load to provide appropriate stimuli. However, coaches and athletes might rate training sessions differently, which can impair performance development. In addition, SRPE might be influenced by athletes’ training experience. The authors studied 160 swimmers of different age groups and different competitive swimming experience and 9 coaches. SRPE was indicated by the swimmers 30 min after the end of a training session and before the training session by the coaches. Training-session intensities were classified into easy (SRPE <3), moderate (SRPE 3–5), and difficult (SRPE >5), based on coaches’ perception. We observed that the correlation between coaches’ and athletes’ SRPE increased with increased age and competitive swimming experience, r = .31 for the 11- to 12-y-old group (P < .001), r = .51 for the 13- to 14-y-old group (P < .001), and r = .74 for the 15- to 16-y-old group (P < .001). In addition, younger swimmers (11–12 y, P < .01; 13–14 y, P < .01) rated training intensity differently from coaches in all 3 categories (easy, moderate, and difficult), while the older group rated differently in only 1 category (difficult, P < .01). These findings suggest that the more experienced swimmers are, the more accurate their SRPE is.
Longitudinal Assessment of the Effect of Age and Experience on Performance in 161-km Ultramarathons
Martin D. Hoffman and Carol A. Parise
Purpose:
This work longitudinally assesses the influence of aging and experience on time to complete 161-km ultramarathons.
Methods:
From 29,331 finishes by 4066 runners who had completed 3 or more 161-km ultramarathons in North America from 1974 through 2010, independent cohorts of men (n = 3,092), women (n = 717), and top-performing men (n = 257) based on age-group finish place were identified. Linear mixed-effects regression was used to assess the effects of aging and previous 161-km finish number on finish time adjusted for the random effects of runner, event, and year.
Results:
Men and women up to 38 y of age slowed by 0.05–0.06 h/y with advancing age. Men slowed 0.17 h/y from 38 through 50 y and 0.23 h/y after 50 y. Women slowed 0.20–0.23 h/y with advancing age from 38 y. Top-performing men under 38 y did not slow with increasing age but slowed by 0.26 and 0.39 h/y from 38 through 50 y and after 50 y, respectively. Finish number was inversely associated with finish time for all 3 cohorts. A 10th or higher finish was 1.3, 1.7, and almost 3 h faster than a first finish for men, women, and top-performing men, respectively.
Conclusions:
High-level performances in 161-km ultramarathoners can be sustained late into the 4th decade of life, but subsequent aging is associated with declines in performance. Nevertheless, the adverse effects of aging on performance can be offset by greater experience in these events.
Improvement of Prediction of Noncontact Injury in Elite Australian Footballers With Repeated Exposure to Established High-Risk Workload Scenarios
Marcus J. Colby, Brian Dawson, Peter Peeling, Jarryd Heasman, Brent Rogalski, Michael K. Drew, and Jordan Stares
challenges to the integrated high-performance team 16 , 17 charged with managing the workload of athletes. Furthermore, factors such as aerobic fitness, 11 accumulated preseason workload, 4 , 15 playing experience, 7 , 18 and previous injury 19 may also moderate the injury risk associated with these
Weight Management Practices of Australian Olympic Combat Sport Athletes
Reid Reale, Gary Slater, and Louise M. Burke
competitions; athletes’ characteristics and their RWLSs are displayed in Table 3 . Table 1 Subject Characteristics and Lifetime Experience of Weight Making for Competition Sex (%male/%female) Age, y Weight, kg Height, cm Competition experience, y Prevalence of weight loss within competition preparation
Power–Force–Velocity Profiling as a Function of Used Loads and Task Experience
Isabella Fessl, Hans-Peter Wiesinger, and Josef Kröll
experience. Thus, P–F–v profiles of elite, highly task-experienced athletes likely provide smaller deviations of single data points, improved test–retest reliability, and higher sensitivity to detect intervention effects. The influence of the cohort characteristics on the reliability of P–F–v profile
Rapid Weight Loss Is Not Associated With Competitive Success in Elite Youth Olympic-Style Boxers in Europe
Damir Zubac, Hrvoje Karnincic, and Damir Sekulic
used to determine the associations between the following variables: period, methods, dietary supplement intake, RWL practice, and symptoms associated with body weight management protocols. To establish the association between the studied covariates (BH, body weight, BMI, competitive experience, RWL