Neuromuscular Responses to Impact and Collision During Elite Rugby League Match Play

McLellan, Chris; Lovell, Dale I.

doi:10.1519/jsc.0b013e318231a627

Cited by 81 publications

(143 citation statements)

References 24 publications

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“…Research in rugby league has shown no relationship between contact events (tackles and hit-ups) and accelerometer measures 19 , but did show that accelerometer measurements were correlated with decreases in peak rate of force development and International Journal of Sports Physiology and Performance F o r P e e r R e v i e w 9 peak power up to 24 h post match. These findings indicate that even though accelerometer measures do not match up with the number of contact events that players are exposed to during rugby union match play, they may be an important indicator of physical load.…”

Section: Discussionmentioning

confidence: 91%

“…Waldron et al 18 showed the reliability of accelerometer measures to be acceptable (CV = 4.7-5.2%). Research has shown correlations between high intensity impacts (>8G) and markers of muscle damage 16 , as well as neuromuscular markers of post-match fatigue 19 in rugby league. These results show that accelerometer data may be an indicator of the overall mechanical load that players are exposed to.…”

Section: Methodsmentioning

confidence: 99%

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Impact of Fatigue on Positional Movements During Professional Rugby Union Match Play

Tee¹,

Lambert²,

Coopoo³

2017

International Journal of Sports Physiology and Performance

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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 -1 ) was decreased in the 2 nd 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 2 nd 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 -1 ) frequency (forwards -29, ±79%; ES = likely small vs. backs -13, ±18%; ES = possibly small) and acceleration (>2.75 m.s -2 ) frequency (forwards -27, ±24%; ES = likely medium vs. backs -5, ±46%, ES = unclear). Analysis of 1 st and 2 nd 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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Section: Discussionmentioning

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Impact of Fatigue on Positional Movements During Professional Rugby Union Match Play

Tee¹,

Lambert²,

Coopoo³

2017

International Journal of Sports Physiology and Performance

View full text Add to dashboard Cite

show abstract

“…A total of 81 player observations were used for analysis, 43 for the forwards and 38 for the backs. Each player was involved in a minimum of 75% of the total game time (McLellan and Lovell, 2012). Ethical approval was granted by the University ethics committee and written informed consent was acquired from participants along with parental consent.…”

Section: Subjectsmentioning

confidence: 99%

The Use of Accelerometers to Quantify Collisions and Running Demands of Rugby Union Match-Play

Roe

Halkier²,

Beggs

et al. 2016

International Journal of Performance Analysis in Sport

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“…Researchers have not shown any correlation between high-intensity impacts and collision events like tackles during rugby league matches. [16] Despite this, research has shown correlations between high-intensity impacts (>8G) and markers of muscle damage [17] , as well as neuromuscular markers of post-match fatigue [16] in rugby league. Accelerometer data have not previously been reported in elite rugby union competitions, and may be of some value in terms of quantifying physical impacts sustained and planning recovery strategies.…”

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confidence: 99%

Movement and impact characteristics of South African professional rugby union players

Tee¹

2016

S Afr J SM

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Background. Global positioning system (GPS) technology can provide accurate, non-invasive, real-time movement analysis of players participating in team sports. The application of this technology to rugby union will improve training practices by allowing improved understanding of movement characteristics and more individualised programmes. Objectives. To characterise the movement and impact patterns of South African professional rugby union players during match play and compare these to previously reported data. Methods. Nineteen professional rugby players were tracked using GPS systems during 24 matches during the 2013 rugby season. Players were grouped as (i) backs or forwards and (ii) tight forwards, loose forwards, scrumhalves, inside backs or outside backs. Movements were categorised in speed zones corresponding to walking (0 -2 m.s ). Walking and jogging were classified as low-intensity and striding and sprinting as high-intensity movement zones. An inbuilt triaxial accelerometer (sampling frequency 100 Hz) measured the total impacts >5G and high-intensity impacts >8G. All data were normalised to time on field and reported as mean (standard deviation).Results. There was no difference between forwards and backs in relative distance covered. Backs reached higher maximum speeds than forwards (backs 8.8 (1.1) v. forwards 7.6 (1.3) m.s -1 , effect size (ES) 1.0, and outside backs were the fastest positional group (9.4 (0.9) m.s -1 , ES 0.4 -2.2). Players in all positions spent the majority of time walking (79 -84%). Backs covered more distance than forwards in high-intensity speed zones (forwards 11 (5) v. backs 14 (4) m.min -1 , ES 0.7). Tight forwards covered the most distance in low-intensity zones (63 (6) m.min -1 , ES 0.3 -1.7) while scrumhalves ran the most distance in high-intensity zones (20 (5) m.min -1 , ES 1.2 -3.6). Highintensity : low-intensity running ratios ranged from 1:13 (tight forwards) to 1:3 (scrumhalves). Loose forwards and inside backs exhibited similar movement patterns. There was no difference in impact variables between forwards and backs. Inside backs sustained the least total impacts (6.5 (1.2) >5G.min -1 , ES 0.9 -2.0) and high-intensity impacts (0.7 (0.2) >8G.min -1 , ES 0.5 -1.4). Conclusions. There were notable differences in the movement of professional rugby union players in different positions, and effective training programmes should reflect these variations.

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Neuromuscular Responses to Impact and Collision During Elite Rugby League Match Play

Cited by 81 publications

References 24 publications

Impact of Fatigue on Positional Movements During Professional Rugby Union Match Play

Impact of Fatigue on Positional Movements During Professional Rugby Union Match Play

The Use of Accelerometers to Quantify Collisions and Running Demands of Rugby Union Match-Play

Movement and impact characteristics of South African professional rugby union players

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