However, the influence of rotations on running intensity has only been investigated in male players; how rotations affect activity profiles in female AF players is yet to be explored. The relatively recent introduction of females into national and state leagues of AF requires a stronger evidence base for
Georgia M. Black, Tim J. Gabbett, Richard D. Johnston, Geraldine Naughton, Michael H. Cole and Brian Dawson
Yang Bai, Kelly Allums-Featherston, Pedro F. Saint-Maurice, Gregory J. Welk and Norma Candelaria
. Instruments The primary measures of PA and SB for the study were obtained with the youth activity profile (YAP), an online, self-assessment tool that has been calibrated to provide accurate group-level estimates of time spent in PA and SB in school-aged youth ( 30 ). The YAP consists of 10 activity
Yang Liu and Senlin Chen
are originated from the following source: National Association for Sport and Physical Education ( 2010 , 2011 ). PAF knowledge = knowledge of physical activity and fitness; PDs = performance descriptors. Physical activity and sedentary behavior The Youth Activity Profile (YAP) was used to measure
Mitchell J. Henderson, Job Fransen, Jed J. McGrath, Simon K. Harries, Nick Poulos and Aaron J. Coutts
match performance variables were collected alongside player well-being variables and individual contextual factors relating to the match. Data Collection Activity profiles during matches were measured using 15-Hz global positioning system devices (SPI HPU; GPSports, Canberra, Australia). These have
Alex V. Rowlands, Tatiana Plekhanova, Tom Yates, Evgeny M. Mirkes, Melanie Davies, Kamlesh Khunti and Charlotte L. Edwardson
al., 2018 ). As they are not population specific, reflect directly measured acceleration, and together describe the volume and intensity of the entire activity profile in two metrics ( Rowlands, Edwardson, et al., 2018 ), they are good candidates for comparing and/or pooling physical activity data. Methods
Samuel Ryan, Aaron J. Coutts, Joel Hocking, Patrick A. Dillon, Anthony Whitty and Thomas Kempton
physical capacity being placed in positions where greater running volumes are required, such as midfield. 27 While we observed associations between MAS and match activity profiles, no relationships were identified with other performance measures. This finding is surprising, given the relationship between
In the article by Rhodes JM, Mason BS, Perrat B, et al, “Activity Profiles of Elite Wheelchair Rugby Players During Competition,” in Int J Sport Physiol Perform. 10(3), the character for “less than/equal to” (≤) was printed incorrectly. In text—twice on p. 319, twice on p. 320, and once on p. 323—it appears as a small box with an “X” in it (£). Five times in Table 3, on p. 320, it appears as the British pound sign (£).
Christopher M. Young, Paul B. Gastin, Nick Sanders, Luke Mackey and Dan B. Dwyer
The activity profile of competition and training in elite netball has not been comprehensively reported in the literature.
To measure and analyze player load in elite netballers during matches and training sessions. The primary research question was, How does player load vary between playing positions in a match and between matches and training sessions?
Various measures of player load were recorded in 12 elite professional netballers with a mean ± SD age of 26 ± 4.9 y and height of 183.2 ± 8.7 cm. Player load was assessed using a published method that uses accelerometry. Load was represented as total load in arbitrary units (au), playing intensity (au/min), and relative time spent in each of 4 playing intensity zones (low, low to moderate, moderate, and high). Data from 15 games and up to 17 training sessions were analyzed for each player.
Player load in matches for the goal-based positions (goal shooter, goal keeper, and goal defense) tended to be lower than the attacking and wing-based positions (goal attack, wing attack, wing defense, and center). The difference was largely due to the amount of time spent in low-intensity activity. Playing intensity of matches was greater than in training sessions; however, the total time spent in moderate- to high-intensity activities was not practically different.
Accelerometry is a valuable method of measuring player load in netball, and the present results provide new information about the activity profile of different playing positions.
Ryu Nagahara, Jean-Benoit Morin and Masaaki Koido
To assess soccer-specific impairment of mechanical properties in accelerated sprinting and its relation with activity profiles during an actual match.
Thirteen male field players completed 4 sprint measurements, wherein running speed was obtained using a laser distance-measurement system, before and after the 2 halves of 2 soccer matches. Macroscopic mechanical properties (theoretical maximal horizontal force [F0], maximal horizontal sprinting power [Pmax], and theoretical maximal sprinting velocity [V0]) during the 35-m sprint acceleration were calculated from speed–time data. Players’ activity profiles during the matches were collected using global positioning system units.
After the match, although F0 and Pmax did not significantly change, V0 was reduced (P = .038), and the magnitude of this reduction correlated with distance (positive) and number (negative) of high-speed running, number of running (negative), and other low-intensity activity distance (negative) during the match. Moreover, Pmax decreased immediately before the second half (P = .014).
The results suggest that soccer-specific fatigue probably impairs players’ maximal velocity capabilities more than their maximal horizontal force-production abilities at initial acceleration. Furthermore, long-distance running, especially at high speed, during the match may induce relatively large impairment of maximal velocity capabilities. In addition, the capability of producing maximal horizontal power during sprinting is presumably impaired during halftime of a soccer match with passive recovery. These findings could be useful for players and coaches aiming to train effectively to maintain sprinting performance throughout a soccer match when planning a training program.
Jace A. Delaney, Heidi R. Thornton, John F. Pryor, Andrew M. Stewart, Ben J. Dascombe and Grant M. Duthie
To quantify the duration and position-specific peak running intensities of international rugby union for the prescription and monitoring of specific training methodologies.
Global positioning systems (GPS) were used to assess the activity profile of 67 elite-level rugby union players from 2 nations across 33 international matches. A moving-average approach was used to identify the peak relative distance (m/min), average acceleration/deceleration (AveAcc; m/s2), and average metabolic power (Pmet) for a range of durations (1–10 min). Differences between positions and durations were described using a magnitude-based network.
Peak running intensity increased as the length of the moving average decreased. There were likely small to moderate increases in relative distance and AveAcc for outside backs, halfbacks, and loose forwards compared with the tight 5 group across all moving-average durations (effect size [ES] = 0.27–1.00). Pmet demands were at least likely greater for outside backs and halfbacks than for the tight 5 (ES = 0.86–0.99). Halfbacks demonstrated the greatest relative distance and Pmet outputs but were similar to outside backs and loose forwards in AveAcc demands.
The current study has presented a framework to describe the peak running intensities achieved during international rugby competition by position, which are considerably higher than previously reported whole-period averages. These data provide further knowledge of the peak activity profiles of international rugby competition, and this information can be used to assist coaches and practitioners in adequately preparing athletes for the most demanding periods of play.