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The purpose of this study was to i) determine the prevalence of anxiety/depression symptoms in professional cricketers and ii) identify factors associated with symptoms of anxiety/depression. One-hundred and seventy-seven (n = 177, response rate of 76%) professional cricketers completed the General Health Questionnaire 12 (GHQ-12). Odd ratios (OR) for anxiety/depression symptoms were related to players' career, family and education. Prevalence of symptoms of anxiety/depression was 59% (n = 104/177). Anxiety/depression symptoms increased when players were contracted for more than 2 years (OR: 5.0; 95% CI: 1.2–21.3; p = 0.028) and if they played their last offseason overseas (OR: 3.5; 95% CI: 1.3–9.6; p = 0.013). Anxiety/depression symptoms decreased by 70% when players made "productive use" of their time in the offseason (OR: 0.3; 95% CI: 0.1–0.9; p = 0.036) and contracted for 2 years (OR: 0.3; 95% CI: 0.1–1.0; p = 0.049). These findings can be incorporated into cricket mental health literacy programmes to improve awareness and understanding, and to encourage early help-seeking. [ABSTRACT FROM AUTHOR]

The aim was to use a combination of video analysis and microtechnology (10 Hz global positioning system [GPS]) to quantify and compare the speed and acceleration of ball-carriers and tacklers during the pre-contact phase (contact − 0.5s) of the tackle event during rugby league match-play. Data were collected from 44 professional male rugby league players from two Super League clubs across two competitive matches. Tackle events were coded and subject to three stages of inclusion criteria to identify front-on tackles. 10 Hz GPS data was synchronised with video to extract the speed and acceleration of the ball-carrier and tackler into each front-on tackle (n = 214). Linear mixed effects models (effect size [ES], confidence intervals, p-values) compared differences. Overall, ball-carriers (4.73 ± 1.12 m∙s−1) had greater speed into front-on tackles than tacklers (2.82 ± 1.07 m∙s−1; ES = 1.69). Ball-carriers accelerated (0.67 ± 1.01 m∙s−2) into contact whilst tacklers decelerated (−1.26 ± 1.36 m∙s−2; ES = 1.74). Positional comparisons showed speed was greater during back vs. back (ES = 0.66) and back vs. forward (ES = 0.40) than forward vs. forward tackle events. Findings can be used to inform strategies to improve performance and player welfare. [ABSTRACT FROM AUTHOR]

Rugby league has a relatively high injury risk, with the tackle having the greatest injury propensity. The number of tackles players engage in, prior to injurious tackles may influence injury risk, which has yet to be investigated. Therefore, this study investigated if rugby league players are involved in more tackles (as either tackler or ball carrier) (i) in the 10 minutes, or (ii) 1-min periods prior to an injurious tackle-event, (iii) differences for ball carriers vs. tacklers, and (iv) forwards vs. backs. Video analysis was utilised to quantify the number and rate of tackles in the 10-min periods prior to 61 tackle-related injuries. One thousand two hundred and eighty 10-min periods where players were not injured, were used as matched-controls. Generalized mixed linear models were used to analyse mean total and rate for tackles. Injured players were involved in significantly fewer tackles during the 10-min period, yet significantly more tackles during the final minute prior to the injurious tackle-event, compared to non-injured players. There were no differences between ball carriers vs. tacklers during the 10-min period. Both injured position groups were involved in significantly more tackles in the final minute. Additional match data sources are needed to further inform injury preventive strategies of tackle events. [ABSTRACT FROM AUTHOR]

Rugby league tackle video analysis research typically uses technical criteria from coaching cues or tackle variables from rugby union. As such, content validity and relevance could be questioned. A video analysis framework that establishes appropriate variables for rugby league is therefore required. The study aimed to adopt a 5-stage process to establish a video analysis framework for the rugby league tackle, which was content valid, relevant and reliable. The 5-stage process included 1) creation of draft video analysis framework, using available rugby tackle research, 2) expert group recruitment and critique, 3) refinement of framework to establish content validity, 4) response process validity task and agreement within expert group, 5) intra- and inter-reliability testing using Kappa statistics. The agreed framework comprised six phases including; tackle event, defensive start point, pre-contact, initial contact, post-contact and play-the-ball. Within the identified phases, 63 variables were established. The intra- and inter-reliability testing resulted in strong agreement within all phases. The video analysis framework can be used in rugby league tackle research, categorising complex tackle events, such as injurious or optimal tackles, improving both player welfare and performance. The application of the framework to future rugby league research will increase coherence and usefulness of research findings. [ABSTRACT FROM AUTHOR]

Rugby union, like many sports, is based around sequences of play, yet this sequential nature is often overlooked, for example in analyses that aggregate performance measures over a fixed time interval. We use recent developments in convolutional and recurrent neural networks to predict the outcomes of sequences of play, based on the ordered sequence of actions they contain and where on the field these actions occur. The outcomes considered are gaining territory, retaining possession, scoring a try, and being awarded or conceding a penalty. We consider several artificial neural network architectures and compare their performance against baseline models. Accounting for sequential data and using field location improved classification accuracy over the baseline for some outcomes. We then investigate how these prediction models can provide tactical decision support to coaches. We demonstrate that tactical insight can be gained by conducting scenario analyses with data visualisations to investigate which strategies yield the highest probability of achieving the desired outcome. [ABSTRACT FROM AUTHOR]

The study's objective was to assess the feasibility of using citizen science to identify and address physical activity (PA) barriers in a low-income South African community. We purposively selected as citizen scientists, eleven participants (21–45 years) from a cohort study who expressed interest in becoming physically active or were already active. They used the Stanford Neighborhood Discovery Tool mobile application to take photos and provide audio narratives of factors in their community that were barriers to or facilitated PA. Thereafter, in a facilitated workshop, citizen scientists thematically reviewed their findings, prioritised issues and proffered potential solutions. Researchers also thematically coded these data. PA levels were measured using standard questionnaires. None of the citizen scientists owned a car, and their PA was either work- or transport-related. Themes identified as priorities that hindered citizen scientists' PA were dirt, sidewalks appropriated by vendors or homeowners, parks and gym vandalisation, and personal safety fears. Access to stadiums and parks enabled PA. Citizen scientists identified their local councillors and street committee chairpersons as fundamental for advocacy for a PA-friendly environment. Low-income community members can be empowered to gather meaningful data using mobile technology and work together to identify potential solutions for promoting PA-friendly environments. [ABSTRACT FROM AUTHOR]

Purpose: To determine how players' attitudes towards injury prevention and performance in the tackle can be influenced by coaching and learning resources.Methods: A questionnaire assessed (i) the attitudes of rugby players (N=164) towards injury prevention and performance, and (ii) reported tackle coaching behaviours and learning resources.Results: Time spent emphasising proper technique to prevent injuries was associated with how important players rated injury prevention χ2=(df 16, N=159) 29.13, p=0.023, Cramer's V=0.21, moderate). Identifying a problem and providing verbal instruction and demonstration were associated with performance, while verbal instruction was associated with how important players rated injury prevention during tackle training (individual χ2=(df 16, N=156) 30.41, p=0.016, Cramer's V=0.22, moderate; team χ2=(df 16, N=156) 34.05, p=0.005, Cramer's V=0.23, moderate).Conclusion: The time coaches spent emphasising proper technique for injury prevention and performance was positively associated with how important players rated the tackle training objective. Verbal instruction was the only coaching method associated with how important players rated injury prevention. Training books, training videos and coaching clinics have the most influence on players' attitude towards injury prevention and performance in the tackle. Coaches and rugby injury prevention programmes can apply these findings to optimise safe and effective tackle training. [ABSTRACT FROM AUTHOR]

This study examined the validity of a tool that assesses tackle and ruck technique in training and established reference data for tackle, ball-carry and ruck technique at different levels of play in rugby union. One hundred and thirty-one amateur rugby union players; 37 senior, 51 first-grade academy and 43 second-grade academy players, participated in a two-on-two contact drill. The drill was filmed and the players' tackle, ball-carry and ruck technique were assessed using standardized technical criteria. Senior level players scored significantly higher in all three assessments; tackle technique senior vs academy 1st (p < 0.01, effect size (ES) = 0.7, moderate), senior vs academy 2nd (p < 0.01, ES = 0.7, moderate); ball-carry technique senior vs academy 1st (p < 0.01, ES = 0.6, moderate), senior vs academy 2nd (p < 0.01, ES = 0.8, moderate); ruck technique senior vs academy 1st (p < 0.01, ES = 0.7, moderate), senior vs academy 2nd (p < 0.01, ES = 0.4, small). These findings emphasize the importance of developing contact technique to allow players to progress to higher levels, and provide validity to an assessment tool which can facilitate this process. [ABSTRACT FROM AUTHOR]

It is necessary to study the rugby tackle as it is associated with successful performance outcomes and is responsible for the majority of contact injuries. A novel collision sport simulator was developed to study tackle performance. The main aim of this validation study was to assess tackle technique performance between two different conditions: simulator versus a standardised one-on-one tackle drill previously used to assess technique. Tackling proficiency was assessed using a list of technical criteria. Mean scores, standard deviations and Cohen's d effect sizes were calculated. Mean overall score for dynamic i.e. running simulator tackles was 7.78 (95%CI 7.58-7.99) (out of 9) or 87% (standard deviation or SD±8.94), and mean overall score for dynamic "live" tackles was 7.85 (95%CI 7.57-8.13) (out of 9) or 87% (SD±9.60) (effect size = 0.08; trivial; p > 0.05). Mean overall score for static i.e. standing simulator tackles was 7.45 (95%CI 7.20-7.69) (out of 9) or 83% (SD±10.71), and mean overall score for static "live" tackles was 8.05 (95%CI 7.83-8.27) (out of 9) or 89% (SD±7.53) (effect size = 0.72; moderate; p < 0.001). The simulator replicates dynamic tackle technique comparable to real-life tackle drills. It may be used for research analysing various aspects of the tackle in rugby and other contact sports. [ABSTRACT FROM AUTHOR]

Limited research has compared the physical qualities of adolescent rugby union (RU) players across differing playing standards. This study therefore compared the physical qualities of academy and school Under-18 RU players. One-hundred and eighty-four (professional regional academy, n = 55 school, n = 129) male RU players underwent a physical testing battery to quantify height, body mass, strength (bench press and pull-up), speed (10, 20 and 40 m), 10 m momentum (calculated; 10 m velocity * body mass) and a proxy measure of aerobic fitness (Yo-Yo Intermittent Recovery Test Level 1; IRTL1). The practical significance of differences between playing levels were assessed using magnitude-based inferences. Academy players were taller (very likely small), heavier (likely moderate) and stronger (bench press possibly large; pull-up plus body mass likely small) than school players. Academy players were faster than school players over 20 and 40 m (possibly and likely small), although differences in 10 m speed were not apparent (possibly trivial). Academy players displayed greater 10 m momentum (likely moderate) and greater IRTL1 performance (likely small) than school players. These findings suggest that body size, strength, running momentum, 40 m speed and aerobic fitness contribute to a higher playing standard in adolescent rugby union. [ABSTRACT FROM AUTHOR]

The most frequently occurring contact events in rugby union are the tackle and ruck. The ability repeatedly to engage and win the tackle and ruck has been associated with team success. To win the tackle and ruck, players have to perform specific techniques. These techniques have not been studied at the highest level of rugby union. Therefore, the purpose of this study was to identify technical determinants of tackle and ruck performance at the highest level of rugby union. A total of 4479 tackle and 2914 ruck events were coded for the Six Nations and Championship competitions. Relative risk ratio (RR), the ratio of the probability of an outcome occurring when a characteristic was observed (versus the non-observed characteristic), was determined using multinomial logistic regression. Executing front-on tackles reduced the likelihood of offloads and tackle breaks in both competitions (Six Nations RR 3.0 Behind tackle, 95% confidence interval [95% CI]: 1.9–4.6, effect size [ES] = large,P < 0.001); Championship RR 2.9 Jersey tackle, 95% CI: 1.3–6.4, ES = moderate,P = 0.01). Fending during contact increased the chances of offloading and breaking the tackle in both competitions (Six Nations RR 4.5 Strong, 95% CI: 2.2–9.2, ES = large,P = P < 0.001; Championship RR 5.1 Moderate, 95% CI: 3.5–7.4, ES = large,P < 0.001). For the ruck, actively placing the ball increased the probability of maintaining possession (Six Nations RR 2.2, 95% CI: 1.1–4.3, ES = moderate,P = 0.03); Championship RR 4.0, 95% CI: 1.3–11.8, ES = large,P = 0.01). The techniques identified in this study should be incorporated and emphasised during training to prepare players for competition. Furthermore, these techniques need to be added to coaching manuals for the tackle and ruck. [ABSTRACT FROM PUBLISHER]

The growth and accessibility of performance analysis (PA) is attributed to the growth of modern PA systems and PA companies that provide the services of match coding. The purpose of this study was to determine and compare the utilisation of PA among Western Province Super League club rugby coaches. Fifty-one coaches involved at senior and under 20-level teams participated in this study. The study had a response rate of 88%. The study revealed that only 16% of coaches have access to video footage after every game and 82% of coaches do not have access to and do not use computerised notational systems (CNS). Despite the fact that 80% of coaches value PA extremely, the study concluded that PA is not being used by a large majority of coaches in Western Province Rugby Union clubs. It was further concluded that this is due to the availability of PA resources (video equipment and CNS) due to budget restraints. [ABSTRACT FROM AUTHOR]

We conduct a validation study to determine which historically statistically significant rugby union team key performance indicators (KPIs) continue to be valid differentiators between winning and losing teams. We examine KPI validity within and among five competitions across 2013, 2014 and 2015 by determining which KPIs continue to achieve statistical significance, as well as provide actionable information to stakeholders (coaches, players, teams, performance analysts, researchers). While most of the historically significant KPIs differentiate between winning and losing teams in at least one competition, few do so across all the competitions considered. We argue that the handful of KPIs that reliably differentiate between winning and losing teams across competitions do not yield much actionable information for stakeholders. We discuss some contributing factors to this result and other important methodological issues in KPI performance analysis in rugby union. [ABSTRACT FROM AUTHOR]

The velocity and acceleration at which the ball-carrier or tackler enters the tackle may contribute to winning the contest and prevailing injury free. Velocity and acceleration have been quantified in controlled settings, whereas in match-play it has been subjectively described. The purpose of this study was to determine the velocity and acceleration of the ball-carrier and tackler before contact during match-play in three competitions (Super 14, Varsity Cup, and Under-19 Currie Cup). Using a two-dimensional scaled version of the field, the velocity and acceleration of the ball-carrier and tackler were measured at every 0.1 s to contact for 0.5 s. For front-on tackles, a significant difference (P < 0.05) between the ball-carrier (4.6 ± 1 m · s–1) and tackler (7.1 ± 3.5 m · s–1) was found at the 0.5 s time to contact interval in the Varsity Cup. For side-on tackles, differences between the two opposing players were found at 0.5 s (ball-carrier: 4.6 ± 1.7 m · s–1; tackler: 3.1 ± 1.2 m · s–1) and 0.4 s (ball-carrier: 6.3 ± 2.3 m · s–1; tackler: 3.7 ± 1.6 m · s–1) at Under-19 level. After 0.4 s, no significant differences (P > 0.05) were evident. Also, the ball-carrier's velocity over the 0.5 s was relatively stable compared with that of the tackler. Results suggest that tacklers adjust their velocity to reach a suitable relative velocity before making contact with the ball-carrier. [ABSTRACT FROM PUBLISHER]