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Delves RIM, Thornton HR, Hodges J, Cupples B, Ball K, Aughey R, Duthie GM. The introduction of the six-again rule has increased acceleration intensity across all positions in the National Rugby League competition. SCI MED FOOTBALL 2023; 7:47-56. [PMID: 35259314 DOI: 10.1080/24733938.2022.2051729] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
The impact of the six-again rule change on the movement of National Rugby League (NRL) athletes was examined. Player Global Navigation Satellite System (GNSS) data (10 Hz) was collected from 42 athletes who competed in 56 matches across the 2019 to 2021 NRL seasons. Maximal mean speed (m·min-1) and acceleration (m·s-2) were established across a 10 s to 10-min duration via raw GNSS files, with subsequent intercept (mean estimates) and slope values determined via power law analysis. The distributions of match distance (m) and impulse (kN·s-1) were established during ball-in-play time. To determine the significance between positions and seasons under different rules, linear mixed models were used. Effects were described using standardised effect sizes (ES) with 90% confidence limits (CL). Acceleration intercepts (power law-derived) across all positions were substantially greater (>0.6 SD) following the introduction of the six-again rule in the 2020 (mean ± SD; 1.02 ± 0.10 m·s-2) and 2021 seasons (1.05 ± 0.08 m·s-2) compared to the 2019 season (0.91 ± 0.07 m·s-2). Mean acceleration during ball-in-play time was greater in 2020 (ES; 90% CL = 0.75; ± 0.32) compared to 2019. The acceleration requirements of rugby league increased across all positional groups following the modification in NRL competition rules. Practitioners should tailor training programs for athletes to reflect the increased acceleration intensity found under the revised competition format.
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Affiliation(s)
- Robert I M Delves
- Melbourne Storm Rugby League Club, Melbourne, Australia.,Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Heidi R Thornton
- Gold Coast Suns Football Club, Carrara, Australia.,Applied Sports Science and Exercise Testing Laboratory, University of Newcastle, Ourimbah, Australia
| | - Joshua Hodges
- School of Behavioural and Health Sciences, Australian Catholic University, Strathfield, Australia
| | - Balin Cupples
- Sydney School of Education and Social Work, The University of Sydney, Sydney, Australia.,Newcastle Knights Rugby League Club, Newcastle, Australia
| | - Kevin Ball
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Robert Aughey
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Grant M Duthie
- School of Behavioural and Health Sciences, Australian Catholic University, Strathfield, Australia
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Cupples B, O'Connor D, Cobley S. Assessing the Ecological-Context Strengths of School-Based Talent Development Programs in Rugby League. Res Q Exerc Sport 2021; 92:723-735. [PMID: 32845211 DOI: 10.1080/02701367.2020.1769010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 05/11/2020] [Indexed: 06/11/2023]
Abstract
Purpose: Adopting an ecological perspective, the study explored the context-strengths of three successful school-based TDEs in rugby league. Method: Utilizing a mixed methods approach, incorporating validated psychometric questionnaires (N = 118) and semi-structured interviews, various stakeholder perspectives (N = 30; i.e., current/past students and coaches) were triangulated and corroborated to identify TDE ecological strengths. Results: Compared to benchmark TDE data, and supplemented by descriptions of TDE features and processes, results confirmed strong coherence to "effective" factors in TDE literature. Collective "ecological strengths" included quantitative findings of a highly supportive culture, shared "person" and "athlete" desired outcomes, and a long-term focus; and qualitative features of high behavioral expectations, strong values of hard work, and the promotion of personal ownership in athlete development. Opportunities to enhance TDE effectiveness were also identified, with psychological skill development (e.g., self-reflection, coping) and balancing intra-rugby league pathway demands (i.e., competition/training loads) highlighted. Conclusion: Findings identify characteristics, components, and processes of school-TDE environments associated with successful athlete development in schools and beyond (i.e., transition into an athlete development pathway).
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Keaney LC, Kilding AE, Merien F, Shaw DM, Borotkanics RJ, Cupples B, Dulson DK. Predictors of upper respiratory tract symptom risk: Differences between elite rugby union and league players. J Sports Sci 2021; 39:1594-1601. [PMID: 33629651 DOI: 10.1080/02640414.2021.1888430] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
This study examined possible predictors of upper respiratory tract symptom (URTS) episodes in elite rugby union and league players (n = 51) during intensive pre-season training. Baseline saliva and blood samples were collected in the first week of pre-season training for analysis of salivary secretory immunoglobulin A (SIgA) and cytomegalovirus. Thereafter, SIgA, URTS, internal training load and self-reported wellness data were repeatedly measured throughout a 10-week pre-season training period. Univariate frailty model analysis, which included 502 observations, was performed for each rugby code for the following independent predictor variables: SIgA concentration, internal training load, total wellness, sleep quantity, sleep quality and stress. Rugby union and league players experienced a similar number of URTS episodes; however, predictors of URTS episodes differed between the codes. No biomarkers or self-reported measures significantly predicted URTS risk in rugby union players, while reductions in self-reported total wellness (HR: 0.731, p = 0.004) and sleep quality (HR: 0.345, p = 0.001) predicted increased URTS risk in rugby league players. The findings from this study highlight that factors influencing URTS risk are perhaps sport specific and this may be attributed to different sporting demands and/or different management of players by team-practitioners.
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Affiliation(s)
- Lauren Catherine Keaney
- Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand
| | - Andrew E Kilding
- Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand
| | - Fabrice Merien
- Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand.,AUT-Roche Diagnostics Laboratory, Auckland University of Technology, Auckland, New Zealand
| | - David M Shaw
- Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand
| | - Robert J Borotkanics
- Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand
| | - Balin Cupples
- Faculty of Education and Social Work, The University of Sydney, Sydney, Australia
| | - Deborah K Dulson
- Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand
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Cummins C, Welch M, Inkster B, Cupples B, Weaving D, Jones B, King D, Murphy A. Modelling the relationships between volume, intensity and injury-risk in professional rugby league players. J Sci Med Sport 2018; 22:653-660. [PMID: 30651223 DOI: 10.1016/j.jsams.2018.11.028] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 11/06/2018] [Accepted: 11/29/2018] [Indexed: 11/15/2022]
Abstract
OBJECTIVE This study aimed to: (a) identify the association between external-workloads and injury-risk in the subsequent week; and (b) understand the effectiveness of workload variables in establishing injury-risk. DESIGN Retrospective cohort study. METHODS Workload and injury data (soft-tissue) were collected from forty-eight professional male rugby league players. Load variables included duration (min), total distance (m), relative distance (mmin-1), high speed distance ([m]>20kmh-1), very-high speed distance ([m]>25kmh-1), acceleration and deceleration efforts (count) and PlayerLoad (Arbitrary Unit: AU). Cumulative two-, three- and four-weekly loads; Acute:Chronic Workload Ratio (ACWR); Mean-Standard Deviation Workload Ratio (MSWR) and strain values were calculated and divided into three equally-sized bins (low, moderate and high). Generalised Estimating Equations analysed relationships between workload variables and injury probability in the subsequent week. RESULTS Injury-risk increased alongside increases in the ACWR for duration, total distance and PlayerLoad. Conversely, injury-risk decreased (Area Under Curve: 0.569-0.585) with increases in the four-weekly duration, total distance, accelerations, decelerations and PlayerLoad. For relative distance, high four-weekly workloads (high: >60mmin-1) demonstrated a positive association with injury-risk, whilst high two-weekly loads (high: >82 mmin-1) were negatively associated. CONCLUSIONS A range of external workload metrics and summary statistics demonstrate either positive or negative associations with injury-risk status. Such findings provide the framework for the development of decision-support systems in which external workload metrics (e.g. total or high speed distance) can be uniquely and routinely monitored across a range of summary statistics (i.e. cumulative weekly loads and ACWR) in order to optimise player performance and welfare.
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Affiliation(s)
- Cloe Cummins
- School of Science and Technology, University of New England, Australia; Institute for Sport Physical Activity and Leisure, Leeds Beckett University, United Kingdom.
| | - Mitchell Welch
- School of Science and Technology, University of New England, Australia
| | | | - Balin Cupples
- Vodafone Warriors, New Zealand; Sydney School of Education and Social Work, The University of Sydney, Australia
| | - Dan Weaving
- Institute for Sport Physical Activity and Leisure, Leeds Beckett University, United Kingdom; Leeds Rhinos Rugby League club, United Kingdom
| | - Ben Jones
- School of Science and Technology, University of New England, Australia; Institute for Sport Physical Activity and Leisure, Leeds Beckett University, United Kingdom; Leeds Rhinos Rugby League club, United Kingdom; Yorkshire Carnegie Rugby Union club, United Kingdom; The Rugby Football League, United Kingdom
| | - Doug King
- School of Science and Technology, University of New England, Australia; Sports Performance Research Institute New Zealand (SPRINZ) at AUT Millennium, Faculty of Health and Environment Sciences, Auckland University of Technology, New Zealand
| | - Aron Murphy
- School of Science and Technology, University of New England, Australia
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Affiliation(s)
- Matthew Driller
- Health, Sport & Human Performance, University of Waikato, Hamilton, New Zealand
| | - Balin Cupples
- Faculty of Education and Social Work, The University of Sydney, Sydney, Australia
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Abstract
Contemporary models of athlete development (e.g., Development Model of Sport Participation) suggest attainment benefits from early age multi-sport "sampling" behaviour before progressive transition into "invested" single-sport involvement in teenage years compared to intensive early-age specialisation. However, specific examinations of these development patterns across a number of team sports and cultural contexts remains limited. This study involved a large sample of professional Australian Rugby League (RL) players (N = 224) who progressed along the RL system pathways. It defined two contrasting athlete development trajectories based upon initial entry into formal age group representative teams ("Early": U16, U18; "Later": U20+) to compare their developmental participation patterns using the National Rugby League Athlete Development Questionnaire (NRLADQ). Between-Within Analyses of Variance (BW-ANOVA)'s identified interaction effects as the 'Later' group reported lower volumes of deliberate practice from 10-20 years, RL-game involvement from 10-20 years, deliberate play from 5-12 years, and a later reduction in other sporting involvement. Group differences in RL-related deliberate practice and play were supported by qualitative descriptions of training at age-categories. CONCLUSION RL professional senior elite success level can be attained via early intensified specialised investment and accelerated youth success as well as by a rather decelerated, much less cost-intensive participation pattern.
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Affiliation(s)
- Balin Cupples
- a Sydney School of Education and Social Work , The University of Sydney , Sydney , NSW , Australia
| | - Donna O'Connor
- a Sydney School of Education and Social Work , The University of Sydney , Sydney , NSW , Australia
| | - Stephen Cobley
- b Faculty of Health Sciences , The University of Sydney , Sydney , NSW , Australia
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Caia J, Thornton HR, Kelly VG, Scott TJ, Halson SL, Cupples B, Driller MW. Does self-perceived sleep reflect sleep estimated via activity monitors in professional rugby league athletes? J Sports Sci 2017; 36:1492-1496. [DOI: 10.1080/02640414.2017.1398885] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Johnpaul Caia
- Performance Sciences Department, Brisbane Broncos Rugby League Club, Brisbane, Australia
- School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Australia
| | - Heidi R. Thornton
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University Bundoora Campus, Melbourne, Victoria, Australia
- Newcastle Knights Rugby League Club, Mayfield, Australia
| | - Vincent G. Kelly
- Performance Sciences Department, Brisbane Broncos Rugby League Club, Brisbane, Australia
- School of Human Movement and Nutrition Sciences, University of Queensland, Brisbane, Australia
| | - Tannath J. Scott
- Performance Sciences Department, Brisbane Broncos Rugby League Club, Brisbane, Australia
| | - Shona L. Halson
- Department of Physiology, Australian Institute of Sport, Canberra, Australian Capital Territory
| | - Balin Cupples
- New Zealand Warriors Rugby League Club, Auckland, New Zealand
- Faculty of Education and Social Work, The University of Sydney, Sydney, Australia
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Culver KC, Cupples B. Why withholding treatment is not assisted suicide. Health Law Can 1999; 20:12-6. [PMID: 10747745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
We have shown why it is that withholding medical treatment is not properly considered to be an assisted suicide. We have said nothing about the desirability or need for new legislation to support assisting a patient in a suicide. We have been concerned only to show that any plausible arguments for assisted suicide must stand on their merits and the attempt to justify a practice of assisted suicide by linking it to the withdrawing of medical treatment through an analysis of causation fails. In this closing section we place our discussion in a broader setting and draw out some of the implications of the distinctions we have made. One central point we wish to emphasize is the role of context in discussions of withholding treatment and assisting a suicide. We have noted the difference between the "normative" and "scientific" sense of "cause". The normative sense is used when holding a person responsible, either legally or morally, for what he or she has actually or scientifically caused (the cause-in-fact). When we hold a person responsible for the consequences of his or her actions, we do so in a way that is sensitive to the context of that action. There is no set formula for determining how broad a context must be considered, whether it be a year and a day, or some shorter or longer interval. The determination of context will involve judgments of relevance and reasonableness and will depend on any special relationships that may hold between the parties involved. Finally, we emphasize how essential context is to a determination of causation. If one fails to consider both the scientific and normative dimensions of causation and relies only on the scientific dimension, one ends up with the counter-intuitive judgments that, in the Olson case, the neurosurgeon who withdrew life support for Erickson is the cause of death, and similarly for the example given by Schaffner and the Nancy B. case discussed by Fish and Singer. Our advice is, "Don't go there".
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Affiliation(s)
- K C Culver
- University of New Brunswick, Fredericton
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