scholarly journals The Effect of Contextual Factors on Physiological and Activity Profiles in International Women’s Rugby Sevens

2017 ◽  
Vol 12 (3) ◽  
pp. 370-376 ◽  
Author(s):  
Tyler L. Goodale ◽  
Tim J. Gabbett ◽  
Ming-Chang Tsai ◽  
Trent Stellingwerff ◽  
Jeremy Sheppard

Purpose:To evaluate the effects of contextual game factors on activity and physiological profiles of international-level women’s rugby sevens players.Methods:Twenty international-level female rugby sevens players from the same national team participated in this study. Global positioning system and heart-rate data were collected at 5 World Rugby Women’s Sevens Series events (2013–14 season).Results:Total, moderate-speed (0.2–3.5 m/s), and high-speed running (3.5–5.0 m/s) distances were significantly greater in the first half (20.1% ± 4.1%, 17.6% ± 6.9%, 24.5% ± 7.8%), during losses (11.4% ± 6.1%, 6.1% ± 6.4%, 26.9% ± 9.8%), during losses of large magnitudes (≥2 tries) (12.9% ± 8.8%, 6.8% ± 10.0%, 31.2% ± 14.9%), and against top-4 opponents (12.6% ± 8.7%, 11.3% ± 8.5%, 15.5% ± 13.9%). In addition, total distance increased (5.0% ± 5.5%) significantly from day 1 to day 2 of tournaments, and very-high-speed (5.0–6.5 m/s) running distance increased significantly (26.0% ± 14.2%) during losses. Time spent between 90% and 100% of maximum heart rate (16.4% ± 14.5%) and player load (19.0% ± 5.1%) were significantly greater in the second half. No significant differences in physiological or activity profiles were observed between forwards and backs.Conclusions:Game half, game outcome, tournament day, opponent rank, and margin of outcome all affected activity profiles, whereas game half affected physiological profiles. No differences in activity or physiological profiles were found between playing positions. Practitioners are advised to develop high-speed running ability in women’s rugby sevens players to prepare them to tolerate the varying factors that affect activity profiles.

2016 ◽  
Vol 11 (6) ◽  
pp. 853-858 ◽  
Author(s):  
Shane Malone ◽  
Kieran D Collins ◽  
Dominic A Doran

The current study examined the extent to which pitch dimensions can influence the physical and estimated energetic demands of hurling small-sided games. Training data ( n = 990) were collected from 24 (age 25.5 ± 3.2 years; height 178.9 ± 3.2 cm; body mass 78.5 ± 4.5 kg) hurling players using 4-Hz global positioning system technology (VX Sport, Lower Hutt, New Zealand). Total distance (m), high-speed running distance (m; ≥ 17 km/h), very high-speed running distance (m; ≥ 22 km/h), total accelerations ( n), acceleration distance (m), peak and mean velocity (km/h) were considered. In addition changes in velocity were analysed by assessing the acceleration actions during SSG. This allowed for the assessment of estimated energy expenditure (kJ/kg) and the equivalent distance covered a different metabolic power thresholds. The main findings show that traditional speed-based data increased as pitch dimensions were increased ( p = 0.002; d = 4.53 ± 0.46; very large). Furthermore, as relative player area increased there was an increase in estimated energy expenditure ( p = 0.004; d = 2. 16 ± 0.20; very large) and average metabolic power metrics ( p = 0.002; d = 1.13 ± 0.46; moderate). Distances covered at metabolic power categories (TP) increased with small-sided games pitch dimension ( p = 0.002; d = 0.3 ± 0.06; small). The study enables coaches to better understand the physical demands imposed on players during specific hurling small-sided games pitch dimensions, and highlights that traditional speed-based data underestimate the running demands of small-sided games.


Author(s):  
Matthew Fairbank ◽  
Jamie Highton ◽  
Matthew Daniels ◽  
Craig Twist

This study reports on the content and periodisation of the preseason field-based training for a professional rugby league team. Thirty professional male rugby league players (26 ± 5 years, 180.9 ± 6.5 cm, 94 ± 9 kg) completed an 8-week preseason. Global positioning system devices and heart rate were used to monitor physical and physiological responses of different field-based training components (speed, conditioning, rugby skill and game-based training). Rugby skill training contributed the most to the total distance covered, conditioning was the greatest contributor to high-speed running (>15 km/h) and game-based training provided the greatest high metabolic distance (>20 W/kg) and overall external load. Game-based training provided the greatest time with heart rate ≥80% estimated maximum. The weekly preseason cycle had lower loads on Monday and Thursday whereas Tuesday and Friday produced the highest loads. The preseason described herein adopted a progressive overload comprising a weekly undulating cycle. This study emphasises how skill and games-based training contributes significantly to the overall load of a professional rugby league team's preseason with more traditional conditioning promoting high-speed running load and high metabolic load.


2015 ◽  
Vol 10 (6) ◽  
pp. 786-790 ◽  
Author(s):  
Alex Ross ◽  
Nicholas D. Gill ◽  
John B. Cronin

Purpose: To compare the running demands and match activity profiles of international and provincial rugby sevens players. Participants: 84 rugby sevens players, consisting of 16 international players from 1 team and 68 provincial players from 8 teams. Methods: Global positioning system analysis was completed during international and provincial tournament matches. Video analysis was also used to quantify the individual match activities during tournament matches. Results: Trivial to moderate differences were found in the running demands of international and provincial players, with internationals covering a greater distance at very high speed (ES = 0.30) and performing a greater number of sprints (ES = 0.80). Small differences were found between the 2 levels in all but total tackles (ES = 0.07) and defensive ruck effectiveness (ES = 0.64). International matches incurred a greater overall ball-in-play time than provincial matches (proportion ratio = 1.32). Conclusions: These findings demonstrate that both physical and technical factors distinguish international and provincial rugby sevens, although overall match demands are similar.


Author(s):  
Daniel A. Evans ◽  
Daniel T. Jackson ◽  
Adam L. Kelly ◽  
Craig A. Williams ◽  
Alexander B. T. McAuley ◽  
...  

Abstract Introduction: Countermovement jump (CMJ) and perceived wellness measures are useful for monitoring fatigue. Fatigue indicators should simultaneously show sensitivity to previous load and demonstrate influence on subsequent physical output; however, this has not been examined. This study examined the efficacy of CMJ and wellness measures to both detect post-match fatigue and predict subsequent physical match output in elite youth soccer. Methods: Sixteen soccer players (18 ± 1 years) participated in 36 English Football League Youth Alliance League fixtures. Physical match outputs (total distance, high-speed running, very high-speed running, and accelerations and decelerations) were recorded using a 10 Hz global positioning system and 200 Hz accelerometer device during competitive match play. CMJ height and perceived wellness were assessed weekly and daily, respectively, as indirect indicators of fatigue. Four sub-units of wellness (perceived soreness, energy, general stress, and sleep) were measured using customised psychometric questionnaires. Results: Simple linear regression showed that match accelerations and decelerations (AD) were predictive of energy (R2 = 0.08, P = 0.001), stress (R2 = 0.09, P < 0.001), and total wellness (R2 = 0.06, P = 0.002) 2 days post-match. CMJ (R2 = 0.05, P = 0.002), stress (R2 = 0.08, P < 0.001), sleep (R2 = 0.03, P = 0.034), and total wellness (R2 = 0.05, P = 0.006) 5 days pre-match (MD-5) were predictive of AD during the subsequent match. Conclusion: CMJ and wellness may be useful in detecting post-match fatigue. Wellness scores, but not CMJ, on MD-5 influence subsequent match output and therefore may be used to plan and periodise training for the upcoming microcycle.


Author(s):  
Charly Fornasier-Santos ◽  
Gregoire P Millet ◽  
Paul Stridgeon ◽  
Olivier Girard ◽  
Franck Brocherie ◽  
...  

AbstractThe purpose of this study is to evaluate the influence of competition level on running patterns for five playing position in the most successful 2014–2015 European rugby union team. Seventeen French rugby union championship and seven European rugby Champions Cup games were analysed. Global positioning system (sampling: 10 Hz) were used to determine high-speed movements, high-intensity accelerations, repeated high-intensity efforts and high-intensity micro-movements characteristics for five positional groups. During European Champions Cup games, front row forwards performed a higher number of repeated high-intensity efforts compared to National championship games (5.8±1.6 vs. 3.6±2.3; +61.1%), and back row forwards travelled greater distance both at high-speed movements (3.4±1.8 vs. 2.4±0.9 m·min-1; +41.7%) and after high-intensity accelerations (78.2±14.0 vs. 68.1 ±13.4 m; +14.8%). In backs, scrum halves carried out more high-intensity accelerations (24.7±3.1 vs. 14.8±5.0; +66.3%) whereas outside backs completed a higher number of high-speed movements (62.7±25.4 vs. 48.3±17.0; +29.8%) and repeated high-intensity efforts (13.5±4.6 vs. 9.7±4.9;  +39.2%). These results highlighted that the competition level affected the high-intensity activity differently among the five playing positions. Consequently, training programs in elite rugby should be tailored taking into account both the level of competition and the high-intensity running pattern of each playing position.


2006 ◽  
Vol 84 (7) ◽  
pp. 1951-1967 ◽  
Author(s):  
A. Brosh ◽  
Z. Henkin ◽  
E. D. Ungar ◽  
A. Dolev ◽  
A. Orlov ◽  
...  

2017 ◽  
Vol 12 (2) ◽  
pp. 175-182 ◽  
Author(s):  
Padraic J Phibbs ◽  
Ben Jones ◽  
Gregory AB Roe ◽  
Dale B Read ◽  
Joshua Darrall-Jones ◽  
...  

Limited information is available regarding the training loads of adolescent rugby union players. One-hundred and seventy male players (age 16.1 ± 1.0 years) were recruited from 10 teams representing two age categories (under-16 and under-18) and three playing standards (school, club and academy). Global positioning systems, accelerometers, heart rate and session-rating of perceived exertion (s-RPE) methods were used to quantify mean session training loads. Session demands differed between age categories and playing standards. Under-18 academy players were exposed to the highest session training loads in terms of s-RPE (236 ± 42 AU), total distance (4176 ± 433 m), high speed running (1270 ± 288 m) and PlayerLoad™ (424 ± 56 AU). Schools players had the lowest session training loads in both respective age categories. Training loads and intensities increased with age and playing standard. Individual monitoring of training load is key to enable coaches to maximise player development and minimise injury risk.


2015 ◽  
Vol 47 (1) ◽  
pp. 179-188 ◽  
Author(s):  
Javier Mallo ◽  
Esteban Mena ◽  
Fabio Nevado ◽  
Víctor Paredes

AbstractThe aim of this study was to examine the physical demands imposed on professional soccer players during 11-a-side friendly matches in relation to their playing position, using global positioning system (GPS) technology. One hundred and eleven match performances of a Spanish “La Liga” team during the 2010-11 and 2011-12 pre-seasons were selected for analysis. The activities of the players were monitored using GPS technology with a sampling frequency of 1 Hz. Total distance covered, distance in different speed categories, accelerations, and heart rate responses were analyzed in relation to five different playing positions: central defenders (n=23), full-backs (n=20), central midfielders (n=22), wide midfielders (n=26), and forwards (n=20). Distance covered during a match averaged 10.8 km, with wide and central midfielders covering the greatest total distance. Specifically, wide midfielders covered the greatest distances by very high-intensity running (>19.8 km·h-1) and central midfielders by jogging and running (7.2-19.7 km·h-1). On the other hand, central defenders covered the least total distance and at high intensity, although carried out more (p<0.05-0.01) accelerations than forwards, wide midfielders, and fullbacks. The work rate profile of the players obtained with the GPS was very similar to that obtained with semi-automatic image technologies. However, when comparing results from this study with data available in the literature, important differences were detected in the amount of distance covered by sprinting, which suggests that caution should be taken when comparing data obtained with the GPS with other motion analysis systems, especially regarding high-intensity activities.


2018 ◽  
Vol 13 (10) ◽  
pp. 1273-1280 ◽  
Author(s):  
Mathieu Lacome ◽  
Ben Simpson ◽  
Nick Broad ◽  
Martin Buchheit

Purpose: To examine the ability of multivariate models to predict the heart-rate (HR) responses to some specific training drills from various global positioning system (GPS) variables and to examine the usefulness of the difference in predicted vs actual HR responses as an index of fitness or readiness to perform. Method: All data were collected during 1 season (2016–17) with players’ soccer activity recorded using 5-Hz GPS and internal load monitored using HR. GPS and HR data were analyzed during typical small-sided games and a 4-min standardized submaximal run (12 km·h−1). A multiple stepwise regression analysis was used to identify which combinations of GPS variables showed the largest correlations with HR responses at the individual level (HRACT, 149 [46] GPS/HR pairs per player) and was further used to predict HR during individual drills (HRPRED). Then, HR predicted was compared with actual HR to compute an index of fitness or readiness to perform (HRΔ, %). The validity of HRΔ was examined while comparing changes in HRΔ with the changes in HR responses to a submaximal run (HRRUN, fitness criterion) and as a function of the different phases of the season (with fitness being expected to increase after the preseason). Results: HRPRED was very largely correlated with HRACT (r = .78 [.04]). Within-player changes in HRΔ were largely correlated with within-player changes in HRRUN (r = .66, .50–.82). HRΔ very likely decreased from July (3.1% [2.0%]) to August (0.8% [2.2%]) and most likely decreased further in September (−1.5% [2.1%]). Conclusions: HRΔ is a valid variable to monitor elite soccer players’ fitness and allows fitness monitoring on a daily basis during normal practice, decreasing the need for formal testing.


2017 ◽  
Vol 12 (3) ◽  
pp. 310-315 ◽  
Author(s):  
César Meylan ◽  
Joshua Trewin ◽  
Kelly McKean

The aims of the current study were to examine the external validity of inertial-based parameters (inertial movement analysis [IMA]) to detect multiplanar explosive actions during maximal sprinting and change of direction (COD) and to further determine its reliability, set appropriate magnitude bands for match analysis, and assess its variability during international women’s soccer matches. Twenty U20 female soccer players, wearing global positioning system (GPS) units with a built-in accelerometer, completed 3 trials of a 40-m sprint and a 20-m sprint with a change of direction to the right or left at 10 m. Furthermore, 13 women’s national-team players (157 files; 4–27 matches/player) were analyzed to ascertain match-to-match variability. Video synchronization indicated that the IMA signal was instantaneous with explosive movement (acceleration, deceleration, COD). Peak GPS velocity during the 40-m sprint showed similar reliability (coefficient of variation [CV] = 2.1%) to timing gates but increased before and after COD (CV = 4.5–13%). IMA variability was greater at the start of sprints (CV = 16–21%) than before and after COD (CV = 13–16%). IMA threshold for match analysis was set at 2.5 m · s–1 · s–1 by subtracting 1 SD from the mean IMA during sprint trials. IMA match variability (CV = 14%) differed from high-speed GPS metrics (35–60%). Practitioners are advised that timing lights should remain the gold standard for monitoring sprint and acceleration capabilities of athletes. However, IMA could be a reliable method to monitor explosive actions between matches and assess changes due to various factors such as congested schedule, tactics, heat, or altitude.


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