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Colleen McConnell, Alyssa McPherson and Kathleen Woolf

marching arts is thought to be a physically demanding sport, only one study to date has attempted to quantify the physical demands required of these athletes. Erdmann et al. ( 2003 ) found the physical demands of high school marching artists to be approximately 4.5 to 6.0 Metabolic Equivalents (METs

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Jeremiah J. Peiffer, Chris R. Abbiss, Eric C. Haakonssen and Paolo Menaspà

variable nature of competition. 1 , 6 A greater understanding of this variability is important to more accurately quantify training and racing load, thereby informing the development of more efficient and effective training and racing strategies. Studies examining the physical demands of cycling have

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Jordan D. Philpott, Chris Donnelly, Ian H. Walshe, Elizabeth E. MacKinley, James Dick, Stuart D.R. Galloway, Kevin D. Tipton and Oliver C. Witard

). Reliability of the visual analog scale for measurement of acute pain . Academic Emergency Medicine, 8 ( 12 ), 1153 – 1157 . PubMed doi:10.1111/j.1553-2712.2001.tb01132.x 10.1111/j.1553-2712.2001.tb01132.x Bloomfield , J. , Polman , R. , & O’Donoghue , P. ( 2007 ). Physical demands of different

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Laura C. Reid, Jason R. Cowman, Brian S. Green and Garrett F. Coughlan

Global positioning systems (GPS) are widely used in sport settings to evaluate the physical demands on players in training and competition. The use of these systems in the design and implementation of rehabilitation and return-to-running programs has not yet been elucidated.

Objective:

To demonstrate the application of GPS technology in the management of return to play in elite-club Rugby Union.

Design:

Case series.

Setting:

Professional Rugby Union club team.

Participants:

8 elite Rugby Union players (age 27.86 ± 4.78 y, height 1.85 ± 0.08 m, weight 99.14 ± 9.96 kg).

Intervention:

Players wore GPS devices for the entire duration of a club game.

Main Outcome Measures:

Variables of locomotion speed and distance were measured.

Results:

Differences in physical demands between playing positions were observed for all variables.

Conclusions:

An analysis of the position-specific physical demands measured by GPS provides key information regarding the level and volume of loads sustained by a player in a game environment. Using this information, sports-medicine practitioners can develop rehabilitation and return-to-running protocols specific to the player position to optimize safe return to play.

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Paul G. Montgomery, David B. Pyne and Clare L. Minahan

Purpose:

To characterize the physical and physiological responses during different basketball practice drills and games.

Methods:

Male basketball players (n = 11; 19.1 ± 2.1 y, 1.91 ± 0.09 m, 87.9 ± 15.1 kg; mean ± SD) completed offensive and defensive practice drills, half court 5on5 scrimmage play, and competitive games. Heart rate, VO2 and triaxial accelerometer data (physical demand) were normalized for individual participation time. Data were log-transformed and differences between drills and games standardized for interpretation of magnitudes and reported with the effect size (ES) statistic.

Results:

There was no substantial difference in the physical or physiological variables between offensive and defensive drills; physical load (9.5%; 90% confidence limits ±45); mean heart rate (-2.4%; ±4.2); peak heart rate (-0.9%; ±3.4); and VO2 (–5.7%; ±9.1). Physical load was moderately greater in game play compared with a 5on5 scrimmage (85.2%; ±40.5); with a higher mean heart rate (12.4%; ±5.4). The oxygen demand for live play was substantially larger than 5on5 (30.6%; ±15.6).

Conclusions:

Defensive and offensive drills during basketball practice have similar physiological responses and physical demand. Live play is substantially more demanding than a 5on5 scrimmage in both physical and physiological attributes. Accelerometers and predicted oxygen cost from heart rate monitoring systems are useful for differentiating the practice and competition demands of basketball.

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F. Marcello Iaia, Rampinini Ermanno and Jens Bangsbo

This article reviews the major physiological and performance effects of aerobic high-intensity and speed-endurance training in football, and provides insight on implementation of individual game-related physical training. Analysis and physiological measurements have revealed that modern football is highly energetically demanding, and the ability to perform repeated high-intensity work is of importance for the players. Furthermore, the most successful teams perform more high-intensity activities during a game when in possession of the ball. Hence, footballers need a high fitness level to cope with the physical demands of the game. Studies on football players have shown that 8 to 12 wk of aerobic high-intensity running training (>85% HRmax) leads to VO2max enhancement (5% to 11%), increased running economy (3% to 7%), and lower blood lactate accumulation during submaximal exercise, as well as improvements in the yo-yo intermittent recovery (YYIR) test performance (13%). Similar adaptations are observed when performing aerobic high-intensity training with small-sided games. Speed-endurance training has a positive effect on football-specific endurance, as shown by the marked improvements in the YYIR test (22% to 28%) and the ability to perform repeated sprints (~2%). In conclusion, both aerobic and speed-endurance training can be used during the season to improve high-intensity intermittent exercise performance. The type and amount of training should be game related and specific to the technical, tactical, and physical demands imposed on each player.

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Sebastian Altfeld, Paul Schaffran, Jens Kleinert and Michael Kellmann

Paid coaches have to regularly deal with a range of potential stressors in the workplace. These stressors may include emotional and physical demands caused by the complex nature of coaching work. Many coaches have developed useful strategies to cope with these demands. Nevertheless, unexpected changes within the dynamic environment in which they typically operate (e.g., injury, public scrutiny, social media), problems with members of the board or management, continuous negative performance results, or personal factors may challenge the adequacy of coaches’ coping mechanisms. This inability to cope with these stresses can lead to a state of chronic stress. If that state manifests permanently, it can result in a state of emotional exhaustion, ultimately leading to coach burnout. The aim of this article is to define the burnout phenomenon and to provide a clear description of the triggering factors. Furthermore, ideas are presented to guide how coaches can protect themselves and how officials (club or association management) can reduce coaches’ burnout.

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Daniel Gould, Susan Jackson and Laura Finch

This investigation examined stress and sources of stress experienced by U.S. national champion figure skaters. Seventeen national champions, who held their titles between 1985 and 1990, were interviewed about the stress they experienced as national champions and were asked to identify specific sources of stress. Qualitative methodology was used to inductively analyze the interview transcripts and revealed that 71% of the skaters experienced more stress after winning their title than before doing so. Stress source dimensions were also identified and included: relationship issues, expectations and pressure to perform, psychological demands on skater resources, physical demands on skater resources, environmental demands on skater resources, life direction concerns, and a number of individual specific uncategorizable sources. In general, these findings parallel the previous elite figure skaters stress source research of Scanlan, Stein, and Ravizza (1991), although there were several points of divergence relative to the type of stressors experienced by this sample of national champion athletes.

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Jason C. Tee, Mike I. Lambert and Yoga Coopoo

Purpose:

In team sports, fatigue is manifested by a self-regulated decrease in movement distance and intensity. There is currently limited information on the effect of fatigue on movement patterns in rugby union match play, particularly for players in different position groups (backs vs forwards). This study investigated the effect of different match periods on movement patterns of professional rugby union players.

Methods:

Global positioning system (GPS) data were collected from 46 professional match participations to determine temporal effects on movement patterns.

Results:

Total relative distance (m/min) was decreased in the 2nd half for both forwards (–13%, ±8%, ES = very likely large) and backs (–9%, ±7%, ES = very likely large). A larger reduction in high-intensity-running distance in the 2nd half was observed for forwards (–27%, ±16%, ES = very likely medium) than for backs (–10%, ±15%; ES = unclear). Similar patterns were observed for sprint (>6 m/s) frequency (forwards –29%, ±29%, ES = likely small vs backs –13% ±18%, ES = possibly small) and acceleration (>2.75 m/s2) frequency (forwards –27%, ±24%, ES = likely medium vs backs –5%, ±46%, ES = unclear). Analysis of 1st- and 2nd-half quartiles revealed differing pacing strategies for forwards and backs. Forwards display a “slow-positive” pacing strategy, while the pacing strategy of backs is “flat.”

Conclusions:

Forwards suffered progressively greater performance decrements over the course of the match, while backs were able to maintain performance intensity. These findings reflect differing physical demands, notably contact and running loads, of players in different positions.

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Carl Petersen, David B. Pyne, Marc R. Portus, Stuart Karppinen and Brian Dawson

Purpose:

The time-motion characteristics and the within-athlete variability in movement patterns were quantified for the same male fast bowler playing One Day International (ODI) cricket matches (n = 12).

Methods:

A number of different time motion characteristics were monitored using a portable 5-Hz global positioning system (GPS) unit (Catapult, Melbourne, Australia).

Results:

The bowler’s mean workload per ODI was 8 ± 2 overs (mean ± SD). He covered a total distance of 15.9 ± 2.5 km per game; 12 ± 3% or 1.9 ± 0.2 km was striding (0.8 ± 0.2 km) or sprinting (1.1 ± 0.2 km), whereas 10.9 ± 2.1 km was spent walking. One high-intensity (running, striding, or sprinting) repetition (HIR) occurred every 68 ± 12 s, and the average duration of a HI effort was 2.7 ± 0.1 s. The player also completed 66 ± 11 sprints per game; mean sprint distance was 18 ± 3 m and maximum sprinting speed 8.3 ± 0.9 m·s−1.

Conclusions:

The movement patterns of this fast bowler were a combination of highly intermittent activities of variable intensity on the base of ~16 km per game. This information provides insight for conditioning coaches to determine the physical demands and to adapt the training and recovery processes of ODI fast bowlers.