Relationship between training load and injury in professional rugby league players

Gabbett, Tim J.; Jenkins, David G.

doi:10.1016/j.jsams.2010.12.002

Cited by 164 publications

(136 citation statements)

References 10 publications

Supporting

Mentioning

117

Contrasting

Unclassified

Order By: Relevance

“…23 Although the risk of team sport athletes sustaining a contact injury has been associated with poor high-intensity running ability, 24 changes in locomotor distance and acceleration workloads (i.e. acute:chronic workload ratios >1.7), 5 and session-RPE workloads, 25 to date no study has investigated the influence of acute and chronic contact workloads on contact injury risk in professional team sport. Given that the acute:chronic workload ratio derived from distance covered is associated with injury in rugby league players.…”

Section: Discussionmentioning

confidence: 99%

Wearable microtechnology can accurately identify collision events during professional rugby league match-play

Hulin

Gabbett²,

Johnston

et al. 2017

Journal of Science and Medicine in Sport

Self Cite

View full text Add to dashboard Cite

Objectives: Collision frequency during rugby league matches is associated with team success, greater and longer lasting fatigue and increased injury risk. This study researched the sensitivity and specificity of microtechnology to count collision events during rugby league matches. Design: Diagnostic accuracy studyMethods: While wearing a microtechnology device (Catapult, Optimeye S5), eight professional rugby league players were subjected to a total of 380 collision events during matches. Video footage of each match was synchronised with microtechnology data. The occurrence of each collision event was coded in comparison with whether that event was or was not detected by microtechnology.Results: Microtechnology detected 371 true-positive collision events (sensitivity = 97.6 ± 1.5%). When low-intensity (<1 PlayerLoad AU), short duration (<1 second) events were excluded from the analysis, specificity was 91.7 ± 2.5%, accuracy was 92.7 ± 1.3%, positive likelihood ratio was 11.4 ×/÷ 1.4 and the typical error of estimate was 7.8% ×/÷ 1.9 (d = 0.29 ×/÷ 1.9, small). Microtechnology collisions 2 were strongly and positively correlated with video coded collision events (r = 0.96). The ability of microtechnology to detect collision events improved as the intensity and duration of the collision increased. Conclusions:Microtechnology can identify 97.6% of collision events during rugby league match-play.The typical error associated with measuring contact events can be reduced to 7.8%, with accuracy (92.7%) and specificity (91.7%) improving, when low-intensity (<1 PlayerLoad AU) and short duration (<1 second) collision reports are excluded. This provides practitioners with a measurement of contact workload during professional rugby league matches.

show abstract

Section: Discussionmentioning

confidence: 99%

Wearable microtechnology can accurately identify collision events during professional rugby league match-play

Hulin

Gabbett²,

Johnston

et al. 2017

Journal of Science and Medicine in Sport

Self Cite

View full text Add to dashboard Cite

show abstract

“…For example, greater overall TL was associated with increased injury risk (r = 0.86, p < 0.05; r = 0.82, p < 0.01) in rugby league players 13,14 . Specific loads attributed to field training were also found to have a significant relationship with non-contact soft tissue injury (r = 0.68, p < 0.05) 14 This highlights the possibility that TL from different training modalities may influence the risk of specific injury types. Research in this area specific to ARF is limited.…”

Section: Introductionmentioning

confidence: 99%

Different methods of training load quantification and their relationship to injury and illness in elite Australian football

Veugelers

Young

Fahrner

et al. 2016

Journal of Science and Medicine in Sport

View full text Add to dashboard Cite

“…In addition, the muscular increases seen in the senior pack players can be explained by the practice of weight training which is typical for players wishing to play at a competitive level in the senior category. 30 Among the players in the current study population, 73% of seniors trained in the gym (85% of the front row and pack, 50% of the backs), as compared to only 12% of juniors and 18% of veterans. It is common practice in training schedules for junior and senior (not veterans) playing categories in Belgian elite divisions, for players to have at least one weekly whole body weight training session included in their training schedule.…”

Section: Comparisons Between Front Row Players and Players In Other Pmentioning

confidence: 86%

Ultrasonographic Assessment of Neck Muscular Size and Range of Motion in Rugby Players

Hemelryck

Calistri²,

Papadopoulou

et al. 2018

Intl J Sports Phys Ther

View full text Add to dashboard Cite

B ackground: Wo rld Rugby Union laws are constantly evolving towards stringent injury-prevention, particularly for contested scrums, since front row players are most at risk of cervical spine injuries. Recently, some countries have also introduced tailored training programs and minimum performance requirements for playing in the front row. Nevertheless, these approaches lack an objective assessment of each cervical muscle that would provide protective support.Objective: Si nce front row players are the most at risk for cervical spine injuries due to the specific type of contact during scrums, the purpose of this study was to ascertain whether significant differences exist in neck muscle size and range of motion between front row players and players of other positions, across playing categories.Study Design: Cross-sectional controlled laboratory study Methods: 129 sub-elite male subjects from various first-team squads of Belgian Rugby clubs were recruited. Su bjects were grouped according to age: Junior (J) < 19 years old, Senior (S) 19 to 35 years old and Veteran (V) > 35 years old; as well as playing position: Front row players (J=10, S=12, V=11 subjects), (Rest of the) pack (J=12, S=12, V=10), backs (J=10, S=11, V=11). An age-matched control group of non-rugby players was also recruited (J=10, S=10, V=10).For each subject, the total neck circumference (NC) and the cervical range of motion (CROM) were measured. In addition, the thickness of the trapezius (T), splenius capitis (SCa), semispinalis capitis (SCb), semispinalis cervicis (SPC), sternocleidomastoid muscles (SCOM), and the total thickness of all four structures (TT), were measured using ultrasonography. Results:In each age category, compared to controls, rugby players were found to have decreased CROM, an increase in neck circumference (NC), and increased total thickness (TT), trapezius (T), semispinalis capitis (SCb) and sternocleidomastoid muscles (SCOM) sizes. For junior players, the thickness of the semispinalis cervicis (SPC) was also increased compared to controls. The CROM was decreased in front row players compared to pack and back players for all age categories; Front row seniors also showed an increase in trapezius (T), splenius capitis (SCa), semispinalis capitis (SCb) and total thickness (TT), compared to back players. Conclusion:In regard of the differences in cervical values found between player positions, the implementation of both range of motion and echography muscle thickness assessments could serve to create an additional measurement for all front row players, that could complement current pre-participation screening used by rugby federations by objectively monitoring muscular size and motion amplitude around the cervical spine. Statement of fi nancial disclosure and confl ict of interest:The authors affi rm that they have no fi nancial affi liation (including research funding) or involvement with any commercial organization that has a direct fi nancial interest in any matter included in this manuscript. There are also no ot...

show abstract

Relationship between training load and injury in professional rugby league players

Cited by 164 publications

References 10 publications

Wearable microtechnology can accurately identify collision events during professional rugby league match-play

Wearable microtechnology can accurately identify collision events during professional rugby league match-play

Different methods of training load quantification and their relationship to injury and illness in elite Australian football

Ultrasonographic Assessment of Neck Muscular Size and Range of Motion in Rugby Players

Contact Info

Product

Resources

About