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Lieselot Decroix, Robert P. Lamberts and Romain Meeusen

During training camps, cyclists aim to optimize their training status by increasing training load, which is followed by a short but still sufficient recovery period. 1 Although this method is effective to increase performance, it also holds the risk of disturbing the balance between training load

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Michele Lastella, Gregory D. Roach, Grace E. Vincent, Aaron T. Scanlan, Shona L. Halson and Charli Sargent

commitments such as school, social activities, and part-time work, which may further disrupt their sleep/wake behaviors. 9 For elite, adolescent athletes, attending intensive training camps is common. During training camps, additional commitments of school, social life, and work may be eliminated, as these

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Hiroyuki Sagayama, Makiko Toguchi, Jun Yasukata, Kazunari Yonaha, Yasuki Higaki and Hiroaki Tanaka

in a training camp. Methods Data were obtained from 11 healthy Japanese collegiate sailors in our Fukuoka University (nine males and two females; mean age: 20.1 ± 0.9 years). All participants belonged to the college sailing club and competed at the domestic level or at the Kyushu regional

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Ed Maunder, Andrew E. Kilding, Christopher J. Stevens and Daniel J. Plews

which may contribute to fatigue and nonfunctional overreaching. 7 Indeed, a recent study showed 5 days of high-intensity interval training performed under heat stress actually impaired exercise capacity, which induced maladaptation. 8 Therefore, when considering undertaking a heat stress training camp

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Jason D. Vescovi and Greig Watson

exercise, multiple training sessions sometimes occur on a single day (e.g., training camps), and matches are sometimes played on consecutive days (e.g., field hockey tournaments include ∼5 matches in 7–8 days). The prevalence of minimal hypohydration (first morning urine specific gravity [Usg] = 1.010 − 1

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Lieselot Decroix, Maria Francesca Piacentini, Gerard Rietjens and Romain Meeusen

Purpose:

High training loads combined with other stressors can lead to performance decrements. The time needed to recover determines the diagnosis of (non)-functional overreaching or the overtraining syndrome. The aim of this study was to describe the effects of an 8-day (intensified) training camp of professional female cyclists on physical and cognitive performance.

Methods:

Nine subjects performed a 30-min time trial (TT), cognitive test, and Profile of Mood States questionnaire before, during, and after a training camp (49% increased training volume). On data collection, cyclists were classified as “overreached” (OR) or “adapted” (A) based on TT performance. Two-way repeated-measures analysis of variance was used to detect changes in physical and cognitive parameters.

Results:

Five cyclists were described as OR based on decreased mean power output (MPO) (–7.03%) on day 8. Four cyclists were classified as A (increased MPO: +1.72%). MPO and maximal heart rate were significantly different between A and OR groups. A significant slower reaction time (RT) (+3.35%) was found in OR subjects, whereas RT decreased (–4.59%) in A subjects. The change in MPO was negatively correlated with change in RT in the cognitive test (R 2 = .52).

Conclusions:

This study showed that the use of objective, inexpensive, and easy-to-interpret physical and cognitive tests can facilitate the monitoring of training adaptations in professional female athletes.

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Kimberly T. Watanabe, Rory A. Cooper, Annette J. Vosse, Fred D. Baldini and Rick N. Robertson

A survey designed to record training practices of athletes with disabilities was administered to participants in the 1990 and 1991 National Wheelchair Athletic Association Elite and Developmental Athlete Training Camp. Information on age, weight, nature and level of disability, the sport and experience in it, sources of training information, dietary practices, and alcohol and cigarette consumption was requested. The athletes were also asked to report their weekly training practices by quarters for the previous year concerning average number of workouts per week, number of hours per workout, number of miles per week, percent of time spent on speed work and/or interval training per week, number of weight training sessions per week, and the number of competitions entered per quarter. Results indicate that most of the athletes derived much of their training information from personal contact with coaches, other athletes, and sport scientists. Many do not set goals in developing training routines, training diets, or competition schedules.

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Heidi R. Thornton, Grant M. Duthie, Nathan W. Pitchford, Jace A. Delaney, Dean T. Benton and Ben J. Dascombe

Purpose:

To investigate the effects of a training camp on the sleep characteristics of professional rugby league players compared with a home period.

Methods:

During a 7-d home and 13-d camp period, time in bed (TIB), total sleep time (TST), sleep efficiency (SE), and wake after sleep onset were measured using wristwatch actigraphy. Subjective wellness and training loads (TL) were also collected. Differences in sleep and TL between the 2 periods and the effect of daytime naps on nighttime sleep were examined using linear mixed models. Pearson correlations assessed the relationship of changes in TL on individuals’ TST.

Results:

During the training camp, TST (–85 min), TIB (–53 min), and SE (–8%) were reduced compared with home. Those who undertook daytime naps showed increased TIB (+33 min), TST (+30 min), and SE (+0.9%). Increases in daily total distance and training duration above individual baseline means during the training camp shared moderate (r = –.31) and trivial (r = –.04) negative relationships with TST.

Conclusions:

Sleep quality and quantity may be compromised during training camps; however, daytime naps may be beneficial for athletes due to their known benefits, without being detrimental to nighttime sleep.

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John Hough, Caroline Robertson and Michael Gleeson

Purpose:

This study examined the influence of 10 days of intensified training on salivary cortisol and testosterone responses to 30-min, high-intensity cycling (55/80) in a group of male elite triathletes.

Methods:

Seven elite male triathletes (age 19 ± 1 y, V̇O2max 67.6 ± 4.5 mL · kg–1 · min–1) completed the study. Swim distances increased by 45%. Running and cycling training hours increased by 25% and 229%, respectively. REST-Q questionnaires assessed mood status before, during, and after the training period. Unstimulated saliva samples were collected before, after, and 30 min after a continuous, high-intensity exercise test. Salivary cortisol and testosterone concentrations were assessed.

Results:

Compared with pretraining, blunted exercise-induced salivary testosterone responses to the posttraining 55/80 were found (P = .004). The absolute response of salivary testosterone concentrations to the 55/80 decreased pretraining to posttraining from 114% to 85%. No changes were found in exercise-induced salivary cortisol concentration responses to the 55/80. REST-Q scores indicated no changes in the participants’ psychological stress–recovery levels over the training camp.

Conclusions:

The blunted exercise-induced salivary testosterone is likely due to decreased testicular testosterone production and/or secretion, possibly attributable to hypothalamic dysfunction or reduced testicular blood flow. REST-Q scores suggest that the triathletes coped well with training-load elevations, which could account for the finding of no change in the exercise-induced salivary cortisol concentration. Overall, these findings suggest that the 55/80 can detect altered exercise-induced salivary testosterone concentrations in an elite athletic population due to increased training stress. However, this alteration occurs independently of a perceived elevation of training stress.

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Sebastien Racinais, Martin Buchheit, Johann Bilsborough, Pitre C. Bourdon, Justin Cordy and Aaron J. Coutts

Purpose:

To examine the physiological and performance responses to a heat-acclimatization camp in highly trained professional team-sport athletes.

Methods:

Eighteen male Australian Rules Football players trained for 2 wk in hot ambient conditions (31–33°C, humidity 34–50%). Players performed a laboratory-based heat-response test (24-min walk + 24 min seated; 44°C), a YoYo Intermittent Recovery Level 2 Test (YoYoIR2; indoor, temperate environment, 23°C) and standardized training drills (STD; outdoor, hot environment, 32°C) at the beginning and end of the camp.

Results:

The heat-response test showed partial heat acclimatization (eg, a decrease in skin temperature, heart rate, and sweat sodium concentration, P < .05). In addition, plasma volume (PV, CO rebreathing, +2.68 [0.83; 4.53] mL/kg) and distance covered during both the YoYoIR2 (+311 [260; 361] m) and the STD (+45.6 [13.9; 77.4] m) increased postcamp (P < .01). None of the performance changes showed clear correlations with PV changes (r < .24), but the improvements in running STD distance in hot environment were correlated with changes in hematocrit during the heat-response test (r = –.52, 90%CI [–.77; –.12]). There was no clear correlation between the performance improvements in temperate and hot ambient conditions (r < .26).

Conclusion:

Running performance in both hot and temperate environments was improved after a football training camp in hot ambient conditions that stimulated heat acclimatization. However, physiological and performance responses were highly individual, and the absence of correlations between physical-performance improvements in hot and temperate environments suggests that their physiological basis might differ.