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Grainger A, Comfort P, Twist C, Heffernan SM, Tarantino G. Real-World Fatigue Testing in Professional Rugby Union: A Systematic Review and Meta-analysis. Sports Med 2024; 54:855-874. [PMID: 38114782 DOI: 10.1007/s40279-023-01973-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/12/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Professional rugby union is a high-intensity contact sport with position-specific high training and match volumes across a season that may lead to periods of fatigue if above a typically experienced threshold. This study assesses the influence of match play and/or training on fatigue levels in rugby union players. OBJECTIVE We aimed to perform a systematic review and meta-analysis of measures used to assess fatigue status in male professional rugby union players. METHODS Using electronic databases (PubMed, SPORTDiscus, Web of Science, Cochrane Library, EMBASE, and MEDLINE), a systematic review of fatigue testing in rugby union was conducted on (1) neuromuscular, (2) subjective self-report, (3) biochemical, and (4) heart rate-derived measures. RESULTS Thirty-seven articles were included in this systematic review, of which 14 were further included in a meta-analysis. The results of the meta-analysis revealed small, yet not significant, decreases in countermovement jump height immediately after (effect size [ES] = - 0.29; 95% confidence interval [CI] - 0.64 to 0.06), 24 h (ES = - 0.43; 95% CI - 3.99 to 3.21), and 48 h (ES = - 0.22; 95% CI - 0.47 to 0.02) after exposure to rugby union match play or training. Reported wellness (ES = - 0.33; 95% CI - 1.70 to 1.04) and tiredness (ES = - 0.14; 95% CI - 1.30 to 1.03) declined over a period of a few weeks (however, the results were not-statistically significant), meanwhile muscle soreness increased (ES = 0.91; 95% CI 0.06 to 1.75) within the 96 h after the exposure to rugby union match play or training. Finally, while cortisol levels (ES = 1.87; 95% CI - 1.54 to 5.29) increased, testosterone declined (ES = - 1.54; 95% CI - 7.16 to 4.08) within the 24 h after the exposure. However, these results were not statistically significant. CONCLUSIONS Subjective measures of muscle soreness can be used to assess fatigue after match play and training in rugby union players. Within-study and between-study variability for countermovement jump height, biochemical markers, and heart rate-derived measures means the utility (practical application) of these measures to assess fatigue in professional rugby union players after matches and training is unclear. CLINICAL TRIAL REGISTRATION PROSPERO ID: CRD42020216706.
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Affiliation(s)
- Adam Grainger
- Kitman Labs, Dublin, Ireland.
- Institute of Sport and Health, University College Dublin, Dublin, Ireland.
| | - Paul Comfort
- University of Salford, Salford, Greater Manchester, UK
- Edith Cowan University, Joondalup, WA, Australia
| | - Craig Twist
- Research Institute of Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, UK
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Hu X, Boisbluche S, Philippe K, Maurelli O, Ren X, Li S, Xu B, Prioux J. Position-specific workload of professional rugby union players during tactical periodization training. PLoS One 2024; 19:e0288345. [PMID: 38551898 PMCID: PMC10980212 DOI: 10.1371/journal.pone.0288345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 06/20/2023] [Indexed: 04/01/2024] Open
Abstract
The positional workload characteristics in rugby union on three acquisition days (i.e. strength, endurance, and speed days) of tactical periodization are still relatively unknown. Therefore, the primary aim of this study was to shed light on the positional external workload variables (10 Hz Global Positioning System and accelerometer microtechnology) and internal workload indicators (the session rating of perceived exertion) of players in a professional rugby union team by utilizing and comparing two tactical periodization models. Twenty-six male players (15 forwards and 11 backs) were recruited from a French second-division rugby club. Data were obtained over 10 weeks of in-season home games: a total of 780 observations were analyzed. Student's t-test observed different external workload profiles between positions among acquisition days. Mean external workload values, except PlayerLoadslow, were significantly higher (p≤0.01; effect size: 0.41-1.93) for backs than forwards for all acquisition days. Moreover, forwards perceived a higher internal workload than backs on the strength day of both models. The findings demonstrate that applying these two tactical periodization models could result in effective rugby union training. Validating external and internal workload characteristics on tactical periodization acquisition days enables extensive analysis of training load monitoring data; these data can be utilized to discover the unique characteristics of each position and design position-specific acquisition days to improve performance.
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Affiliation(s)
- Xiaopan Hu
- Sino-French Joint Research Center of Sport Science, College of Physical Education and Health, East China Normal University, Shanghai, China
- Movement, Sport, and Health Sciences Laboratory, Rennes 2 University, Bruz, France
- Department of Sport Sciences and Physical Education, École Normale Supérieure de Rennes, Bruz, France
| | | | - Kilian Philippe
- Department of Sport Sciences and Physical Education, École Normale Supérieure de Rennes, Bruz, France
- Movement, Balance, Performance, and Health Laboratory, University of Pau and Pays de l’Adour, Tarbes, France
| | - Olivier Maurelli
- Muscle Dynamics and Metabolism Laboratory, University of Montpellier, Montpellier, France
| | - Xiangyu Ren
- Sino-French Joint Research Center of Sport Science, College of Physical Education and Health, East China Normal University, Shanghai, China
- Movement, Sport, and Health Sciences Laboratory, Rennes 2 University, Bruz, France
- Department of Sport Sciences and Physical Education, École Normale Supérieure de Rennes, Bruz, France
| | - Shichang Li
- Sino-French Joint Research Center of Sport Science, College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Bo Xu
- Sino-French Joint Research Center of Sport Science, College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Jacques Prioux
- Sino-French Joint Research Center of Sport Science, College of Physical Education and Health, East China Normal University, Shanghai, China
- Movement, Sport, and Health Sciences Laboratory, Rennes 2 University, Bruz, France
- Department of Sport Sciences and Physical Education, École Normale Supérieure de Rennes, Bruz, France
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Loturco I, Pereira LA, Moura TBMA, Mercer VP, Betelli MT, Ramos MS, Zabaloy S, Pareja-Blanco F. Jump Squats Performed with Both Light and Heavy Loads Have Similar Effects on the Physical Performance of Elite Rugby Players during the Initial Phase of the Competitive Period. J Hum Kinet 2024; 91:175-188. [PMID: 38689591 PMCID: PMC11057615 DOI: 10.5114/jhk/186340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 03/21/2024] [Indexed: 05/02/2024] Open
Abstract
We examined the effectiveness of two different jump-squat (JS) loading ranges on the physical performance of rugby players. Twenty-eight elite male rugby players were divided into two JS training groups: a light-load JS group ("LJS"; JS at 40% of the one-repetition maximum [1RM] in the half-squat (HS) exercise) and a heavy-load JS group ("HJS"; JS at 80% HS-1RM). Players completed the distinct training programs over four weeks, three times per week, during the initial phase of the competitive period. Pre- and post-training tests were conducted in the following sequence: vertical jumps, a 30-m speed test, peak power in the JS and the HS, and maximum isometric force in the HS. Additionally, the rating of perceived exertion (RPE) was assessed at the end of all training sessions throughout the intervention. A two-way ANOVA with repeated measures, followed by the Tukey's post-hoc test, was employed to analyze differences between groups. The level of significance was set at p < 0.05. Effect sizes were used to assess the magnitude of differences between pre- and post-training data. Except for the RPE values (which were lower in the LJS group), no significant changes were detected for any other variable. In summary, using either a light- (40% HS-1RM) or a heavy-load (80% HS-1RM) JS during the initial phase of the competitive period is equally effective in maintaining physical performance levels attained during the preceding training period (pre-season), with the significant advantage of the light-load protocol resulting in lower levels of the RPE. This finding may have important implications for resistance training programming, especially in disciplines where acute and chronic fatigue is always a problematic issue.
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Affiliation(s)
- Irineu Loturco
- NAR—Nucleus of High Performance in Sport, São Paulo, Brazil
- Department of Human Movement Sciences, Federal University of São Paulo, São Paulo, Brazil
- Department of Sport, Health, and Exercise Science, University of South Wales, Pontypridd, Wales, United Kingdom
| | | | | | | | - Marina T. Betelli
- NAR—Nucleus of High Performance in Sport, São Paulo, Brazil
- CBRu—Brazilian Rugby Confederation, São Paulo, Brazil
| | | | - Santiago Zabaloy
- Faculty of Physical Activity and Sports, University of Flores, Buenos Aires, Argentina
| | - Fernando Pareja-Blanco
- Physical Performance & Sports Research Center, Department of Sports and Computer Sciences, Universidad Pablo de Olavide, Seville, Spain
- Faculty of Sport Sciences, Department of Sports and Computer Sciences, Universidad Pablo de Olavide, Seville, Spain
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Evans SL, Whittaker G, Elphinstone Davis O, Jones ES, Hardy J, Owen JA. Noncontact Injury Distribution and Relationship With Preseason Training Load and Nonmodifiable Risk Factors in Rugby Union Players Across Multiple Seasons. J Strength Cond Res 2023; 37:1456-1462. [PMID: 36445853 DOI: 10.1519/jsc.0000000000004402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/20/2023]
Abstract
ABSTRACT Evans, SL, Whittaker, G, Elphinstone Davis, E, Jones, ES, Hardy, J, and Owen, JA. Noncontact injury distribution and relationship with preseason training load and non-modifiable risk factors in Rugby Union players across multiple seasons. J Strength Cond Res 37(7): 1456-1462, 2023-This study examined the distribution of noncontact injury during phases of the competitive season and the association between preseason training load (TL) and nonmodifiable risk factors on injury risk during these phases. Injury data were recorded from 1 senior academy team over 3 seasons (2017-2020) and analyzed across early-season, midseason, and late-season phases. A generalized estimating equation was used to model risk factors with noncontact injury for selected phases. The highest noncontact injury incidence occurred in the late-season phase (22.2 per 1,000 hours) compared with early (13.7 per 1,000 hours, p < 0.001) and midseason phases (15.5 per 1,000 hours, p = 0.001). Low preseason TL (8,949-12,589 arbitrary units; odds ratio [OR], 95% confidence interval [CI] = 4.7, 1.0-21.6; p = 0.04) and low preseason TL combined with high early-season TL and injury in the early-season phase (OR, 95% CI = 6.5, 1.1-35.5; p = 0.03) were associated with greater midseason noncontact injury risk. In addition, low preseason TL combined with previous injury was associated with increased risk of noncontact injury risk in the late season (OR, 95% CI = 12.2, 0.9-15.6, p = 0.05). Our results suggest players are at a greater injury risk during the late-season phase, with low preseason cumulative loads combined with a history of previous injury associated with increased in-season injury risk. Strength and conditioning coaches should therefore monitor cumulative preseason TL alongside screening for previous injury history to identify athletes at greater risk of noncontact injury risk during the competitive season.
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Affiliation(s)
- Seren L Evans
- School of Human and Behavioural Sciences, Institute for Applied Human Physiology, Bangor University, Bangor, United Kingdom
| | | | | | - Eleri S Jones
- School of Human and Behavioural Sciences, Institute for Psychology of Elite Performance, Bangor University, Bangor, United Kingdom
| | - James Hardy
- School of Human and Behavioural Sciences, Institute for Psychology of Elite Performance, Bangor University, Bangor, United Kingdom
| | - Julian A Owen
- School of Human and Behavioural Sciences, Institute for Applied Human Physiology, Bangor University, Bangor, United Kingdom
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Hu X, Baba NT, Philippe K, Jiang D, Boisbluche S, Maurelli O, Prioux J. Effects of preseason training on body composition, running performance, biochemical markers and workload variation in professional rugby union players. Heliyon 2023; 9:e16250. [PMID: 37265613 PMCID: PMC10230214 DOI: 10.1016/j.heliyon.2023.e16250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 05/02/2023] [Accepted: 05/10/2023] [Indexed: 06/03/2023] Open
Abstract
Few studies have examined the impact of a preseason training intervention through systematic measures in Pro D2 rugby union (RU). Therefore, this study aimed to describe the effects of 12 weeks of preseason training (three blocks) on body composition, running performance, biochemical markers, and workload (WL) variation in professional RU players. Physiological (physical and biochemical) responses to preseason WL were analyzed by examining changes in anthropometric characteristics, Yo-Yo intermittent recovery level 1 (Yo-Yo IR1) test, blood samples (BS), Hooper index (1-7), the 10-Hz global positioning system (GPS), and session rating of perceived exertion (s-RPE) in nineteen elite male players. Changes throughout the preseason were analyzed using the one-way and mixed-model analysis of variance. Significant (p < 0.01) improvements occurred in anthropometry and Yo-Yo IR1 running performance in forwards and backs. Total distance (p < 0.01) and impact (p < 0.05) during the second block were meaningfully higher than the other two blocks, with backs showing higher values than forwards. As expected, WL decreased significantly (p < 0.01) during the last training block. The WL variations were correlated with changes in biochemical markers over the preseason period. The collected data can be used for i) profiling French Pro D2 rugby championships players, ii) establishing effective training strategies, and iii) setting preseason WL expectations.
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Affiliation(s)
- Xiaopan Hu
- Sino-French Joint Research Center of Sport Science, Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, College of Physical Education and Health, East China Normal University, 200241 Shanghai, China
- Movement, Sport, Health Laboratory, Rennes 2 University, 35170 Bruz, France
- Department of Sports Sciences and Physical Education, École Normale Supérieure de Rennes, 35170 Bruz, France
| | - Noe Thierry Baba
- Department of Physical Education and Sport Science, University of Limerick, V94 XD21 Limerick, Ireland
| | - Kilian Philippe
- Movement, Sport, Health Laboratory, Rennes 2 University, 35170 Bruz, France
- Department of Sports Sciences and Physical Education, École Normale Supérieure de Rennes, 35170 Bruz, France
- Laboratory of Movement, Balance, Performance and Health, University of Pau and Pays de l’Adour, 65000 Tarbes, France
| | - Danyang Jiang
- Ersha Sports Training Center of Guangdong Province, 510105 Guangdong, China
| | - Simon Boisbluche
- Rugby Club Vannes, French Rugby Federation, 56000 Vannes, France
| | - Olivier Maurelli
- Muscle Dynamics and Metabolism Laboratory, University of Montpellier, 34060 Montpellier, France
| | - Jacques Prioux
- Sino-French Joint Research Center of Sport Science, Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, College of Physical Education and Health, East China Normal University, 200241 Shanghai, China
- Movement, Sport, Health Laboratory, Rennes 2 University, 35170 Bruz, France
- Department of Sports Sciences and Physical Education, École Normale Supérieure de Rennes, 35170 Bruz, France
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Burghardt WP, Pfeiffer KA, Kuenze C. Assessing the Relationship Between External Workloads and Noncontact Injuries During Summer Conditioning and Preseason Practice in National Collegiate Athletic Association Division 1 Football Players. J Strength Cond Res 2023; 37:816-822. [PMID: 35876439 DOI: 10.1519/jsc.0000000000004325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
ABSTRACT Burghardt, WP, Pfeiffer, KA, and Kuenze, C. Assessing the relationship between external workloads and noncontact injuries during summer conditioning and preseason practice in National Collegiate Athletic Association Division 1 football players. J Strength Cond Res 37(4): 816-822, 2023-The purpose of this study was to prospectively investigate the relationship between noncontact injuries and workload in collegiate football during summer conditioning and preseason training. Workload and noncontact injury data were collected over the summer conditioning and preseason practice periods for a Division 1 National Collegiate Athletic Association football team ( n = 34). Seven- and 21-day exponentially weighted moving averages (EWMA) were calculated daily for each athlete. The acute:chronic ratio (A:C ratio) of these 2 measures was also calculated daily. Injury rates for noncontact injuries were calculated for both periods. Continuous variable modeling (panel logistic regression and restricted cubic spline) was used to assess the relationship of EWMA A:C ratio and noncontact injury using a 3-day lag period. Athletic exposures (AEs) were defined as individual sport training, practice, or competition sessions. Nine injuries were observed (6.97/1,000 AEs), with 4 injuries resulting in lost time (3.09/1,000 AEs). The mean EWMA A:C ratio was 0.92 ± 0.41 (95% confidence interval: 0.03-2.09). Both the panel logistic regression and the restricted cubic spline models showed a significant relationship between EWMA A:C ratio and noncontact injuries. However, the odds ratio (14.16) in the logistic regression had a very large standard error (14.51) and a wide 95% confidence interval (1.90-105.49). The restricted cubic spline model had a pseudo R2 of 0.136. Injury occurrence at given EWMA ratio values was lower than reported in previous research. Although both continuous models demonstrated a significant relationship between the EWMA A:C ratio and subsequent noncontact injuries over the next 3 days, neither model had sufficient goodness of fit to warrant adoption at this time.
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Affiliation(s)
- William P Burghardt
- Department of Kinesiology, Michigan State University, East Lansing, Michigan
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Cross R, Lovell R, Marshall PW, Norris D, Siegler JC. Scheduling Concurrent Training 48 versus 72 h after Simulated Match Play: Effects on Neuromuscular Function and Fatigue. Med Sci Sports Exerc 2023; 55:301-310. [PMID: 36635860 DOI: 10.1249/mss.0000000000003044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
INTRODUCTION Scheduling concurrent training (CT) during the in-season microcycle in field-based team sport is driven by prematch and postmatch recovery. This study examined the neuromuscular function, fatigue, and soreness responses to CT administered 48 h (match day (MD) + 2) versus 72 h (MD + 3) after match. METHODS Ten male recreational-level team sport athletes were monitored daily during two 5-d microcycles, which began with a simulated match (Soccer-specific Aerobic Field Test (SAFT90)) and CT performed either 48 or 72 h after match. Maximal voluntary force, quadriceps maximum EMG, voluntary activation, muscle contractile function (evoked twitch responses), muscle soreness, and fatigue were assessed immediately before and after the SAFT90, and every 24 up to 96 h after match. Outcome measures were also assessed immediately after CT. The CT consisted of an intermittent sprint protocol and a lower limb resistance training session separated by 1 h. RESULTS Immediately after the SAFT90 in both conditions, maximal voluntary force was below baseline (mean change (Δ), -14.6% ± 10.0%; P = 0.03), recovering 48 h post. Quadriceps contractile function (Δ, -31.5% ± 11.4%; P = 0.003) and voluntary activation (Δ, -8.9 ± 6.2%; P = 0.003) were also hampered after the SAFT90, recovering 24 h post in both conditions. In addition, the SAFT90 elicited elevated levels of fatigue and muscle soreness that recovered 24 h after the SAFT90 before increasing at 72 and 96 h post in the MD + 2 and MD + 3 conditions, respectively. CONCLUSIONS Recovery of fatigue was only observed at the end of the microcycle when CT was prescribed on MD + 2. Therefore, CT scheduled early (MD + 2) in the microcycle might avoid compromising forthcoming match preparation.
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Affiliation(s)
| | - Ric Lovell
- School of Health Sciences, Western Sydney University, AUSTRALIA
| | | | - Dean Norris
- School of Health Sciences, Western Sydney University, AUSTRALIA
| | - Jason C Siegler
- College of Health Solutions, Arizona State University, Phoenix, AZ
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Mellalieu SD, Sellars P, Arnold R, Williams S, Campo M, Lyons D. Professional male rugby union players' perceived psychological recovery and physical regeneration during the off-season. BMJ Open Sport Exerc Med 2023; 9:e001361. [PMID: 36987513 PMCID: PMC10040030 DOI: 10.1136/bmjsem-2022-001361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/01/2023] [Indexed: 03/30/2023] Open
Abstract
We explored male professional rugby union players' experiences and perceptions of their mental and physical health and well-being across the northern hemisphere off-season. 34 professional male rugby union players participated in individual semistructured interviews (mean (SD) age=27.5 (4.3) years). Interviews were recorded, transcribed verbatim and analysed using reflexive thematic analysis. The off-season was characterised by three phases players undergo to preserve their mental and physical health and well-being to recover from the previous season and regenerate in preparation for the upcoming season. These included decompression from previous season, cognitive detachment from the rugby environment and preparation for preseason. Successful progression through all three phases was influenced by several variables (work and life demands, contextual factors, experience level). Recovery and regeneration strategies focused on physical distancing/getting away from the rugby environment to cognitively detach. Injured players appear an at-risk subgroup for threats to mental well-being (isolation, anxiety, reduced sense of achievement) as a result of reduced or minimal time away from the workplace due to treatment obligations. Younger professionals are a subgroup at risk of overtraining/injury due to inadequate rest, especially as this group are least likely to seek support/guidance. This study is the first investigation into male professional rugby union players' experiences and perceptions of their mental and physical health and well-being across the off-season period. It highlights the distinct phases players undertake to mentally recover and regenerate and the need to consider education and support for potential at risk subgroups.
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Affiliation(s)
- Stephen D Mellalieu
- Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University - Cyncoed Campus, Cardiff, UK
| | - Paul Sellars
- Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University - Cyncoed Campus, Cardiff, UK
| | | | | | - Mickael Campo
- Facultés de sciences du sports de Dijon, Université Bourgogne Franche-Comté, Besancon, France
- Département d’accompagnement à la performance, Fédération Française de Rugby, Paris, France
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Zhang M, Zhang Y, Hao L. PHYSIOLOGICAL AND BIOCHEMICAL MONITORING IN DANCESPORT ATHLETES. REV BRAS MED ESPORTE 2022. [DOI: 10.1590/1517-8692202228062022_0082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
ABSTRACT Introduction The dancesport is an emerging sports competition that integrates competitive sports and dance; college students have been using the training for aesthetic purposes in body delineation. However, the biochemical alterations are still underexplored. Objective Explore the physiological and biochemical changes caused by dancesport. Methods The volunteers were submitted to a two-week high-intensity dancesport protocol. Changes in physiological and biochemical indicators were monitored before and after the experiment. Results The athletes exhibited individual changes in biochemical indicators (P<0.05), with emphasis on an increase in hemoglobin (from 152.3g/L to 169.2g/L). The physiological indices also changed significantly, with an average body fat reduction of over 5%. Conclusion Dancesport proved to help improve its practitioners’ physical and biochemical function. Evidence Level II; Therapeutic Studies – Investigating the results.
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Daly E, Blackett AD, Pearce AJ, Ryan L. Protect the Player, Protect the Game: Reflections from Ex-Professional Rugby Union Players on Law Changes, Protective Equipment, and Duty of Care in the Professional Game. J Funct Morphol Kinesiol 2022; 7:jfmk7040091. [PMID: 36278752 PMCID: PMC9624300 DOI: 10.3390/jfmk7040091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 10/14/2022] [Accepted: 10/17/2022] [Indexed: 11/16/2022] Open
Abstract
The emphasis of this study was to interview ex-professional male rugby union players (n = 23, mean age 35.5 ± 4.7 years) and discuss concussion management during their careers. In this study, two major themes were identified: (1) the duty of care to professional rugby union players by medical personnel, coaching staff, and owners of professional clubs and (2) the use of protective equipment and law changes to enhance player safety. In total, twenty-three ex-professional rugby union players were interviewed, and the majority (61%) had represented their countries at international test-level rugby. These interviews highlighted the belief that medical teams should be objective, independent entities within a professional rugby club. Furthermore, medical teams should not be in a position of being pressurised by head coaches, members of the coaching team, or club owners regarding return-to-play (RTP) protocols specific to concussion. The interviewees believed that they were pressured by coaches or members of the coaching team to play with concussion or concussive symptoms and other physical injuries. The results indicated that they had manipulated concussion testing themselves or with assistance to pass standard concussion testing protocols. The interviewees indicated that club owners have a duty of care to players even in retirement due to the high incidence of physical and mental injuries endured as a professional rugby player. Most participants indicated that a reduction in match playing time and reducing the amount of time engaged in contact training (workload volume) may assist in reducing concussion incidence. The participants suggested that changes to the current laws of the game or the use of protective equipment did not mitigate against concussion risk in the game of rugby union. The main limitation to the study is that participants had retired in the past ten years, and conditions for players may have changed. This study has highlighted that additional efforts are required by professional clubs to ensure the highest duty of care is delivered to current players and recently retired players.
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Affiliation(s)
- Ed Daly
- School of Science & Computing, Atlantic Technological University, H91 T8NW Galway, Ireland
| | - Alexander D. Blackett
- School of Life Sciences and Education, Staffordshire University, Stoke-on-Trent ST4 2DF, UK
| | - Alan J. Pearce
- College of Sport, Health and Engineering, La Trobe University, Melbourne, VIC 3086, Australia
| | - Lisa Ryan
- School of Science & Computing, Atlantic Technological University, H91 T8NW Galway, Ireland
- Correspondence:
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Effects of an Offshore Sailing Competition on Anthropometry, Muscular Performance, Subjective Wellness, and Salivary Cortisol in Professional Sailors. Int J Sports Physiol Perform 2022; 17:1205-1212. [PMID: 35700975 DOI: 10.1123/ijspp.2021-0575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 04/19/2022] [Accepted: 04/19/2022] [Indexed: 11/18/2022]
Abstract
INTRODUCTION Evidence regarding the impact of offshore sailing on fatigue and readiness variables is conspicuous by its absence. This study investigated the acute effects of an offshore sailing regatta on anthropometry, muscular performance, subjective recovery, and salivary biomarker cortisol. METHODS Ten professional offshore sailors from a mixed-sex crew partook in the study (N = 10; mean [SD] age = 32.2 [3.96] y; stature = 179.1 [7.30] cm; body mass = 84.2 [12.1] kg). The race involved 3 offshore legs over a 3-week period. Baseline measures of anthropometry, lower- and upper-body muscular function, perceptions of subjective wellness, and salivary cortisol were assessed 3 hours prior to competition (ie, before the first leg). These measures were repeated within 30 minutes after the cessation of each leg. During each leg, boat movements were recorded via global positioning system units. RESULTS There were significant reductions in lower (effect size [ES] = 0.49) and upper muscular (ES = 0.21) functions, as well as in subjective wellness (ES = 1.65). Salivary cortisol levels increased (ES = 0.84). CONCLUSION These results demonstrate that, during an intensified period of sailing competition, fatigue will progressively increase. This may impede sailing performance by reducing physical and cognitive efficiency. Furthermore, countermovement jump, handgrip strength, perception of subjective wellness, and cortisol concentration appear to be sensitive measures for monitoring fatigue and readiness in professional sailors.
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Brisola GMP, Claus GM, Zagatto AM. Monitoring Training Load, Immune-Endocrine, Autonomic Nervous System Responses, and Swimming Performance in Women's Water Polo. RESEARCH QUARTERLY FOR EXERCISE AND SPORT 2022:1-11. [PMID: 35344471 DOI: 10.1080/02701367.2021.1976377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 08/31/2021] [Indexed: 06/14/2023]
Abstract
Purpose: The purposes of the study were to: i) verify the variations in training load and the subsequent effects on swimming performance parameters, biochemical parameters, and autonomic nervous activity during a water polo season; ii) investigate the sensitivity of physiological markers in tracking training load and performance variations, and iii) verify the overreaching prevalence. Method: The training load of 20 female water polo players was monitored (using the session rating of perceived exertion method [sRPE], training monotony, and strain), and the lactate minimum speed (LMS), repeated sprint ability (RSA), plasma hormone and glutamine concentration, salivary immunoglobulin A (SIgA), and heart rate variability (lnRMSSD) were evaluated during the season. Result: The training load parameters were higher in the competitive cycle (p ≤ 0.002). The LMS improved only in the general cycle from baseline (p = .015), while the RSA best time improved in the general (p = .002) and specific cycles (p = .012) from baseline and deteriorated in the competitive from general cycle (p = .008). The SIgA secretion rate presented a reduction only in the specific cycle from baseline (p = .032), while the lnRMSSD increased in the general (p = .038) and competitive (p < .001) cycles from baseline. Five athletes were diagnosed as overreaching state. Conclusion: Therefore, the physiological markers (i.e., plasma hormone and glutamine concentration, SIgA, and lnRMSSD) showed little sensitivity to detect changes in training load and swimming performance. The higher training loads applied in the competitive cycle seem to limit swimming performance gains.
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Paul L, Naughton M, Jones B, Davidow D, Patel A, Lambert M, Hendricks S. Quantifying Collision Frequency and Intensity in Rugby Union and Rugby Sevens: A Systematic Review. SPORTS MEDICINE - OPEN 2022; 8:12. [PMID: 35050440 PMCID: PMC8776953 DOI: 10.1186/s40798-021-00398-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 12/13/2021] [Indexed: 11/10/2022]
Abstract
Background Collisions in rugby union and sevens have a high injury incidence and burden, and are also associated with player and team performance. Understanding the frequency and intensity of these collisions is therefore important for coaches and practitioners to adequately prepare players for competition. The aim of this review is to synthesise the current literature to provide a summary of the collision frequencies and intensities for rugby union and rugby sevens based on video-based analysis and microtechnology. Methods A systematic search using key words was done on four different databases from 1 January 1990 to 1 September 2021 (PubMed, Scopus, SPORTDiscus and Web of Science). Results Seventy-three studies were included in the final review, with fifty-eight studies focusing on rugby union, while fifteen studies explored rugby sevens. Of the included studies, four focused on training—three in rugby union and one in sevens, two focused on both training and match-play in rugby union and one in rugby sevens, while the remaining sixty-six studies explored collisions from match-play. The studies included, provincial, national, international, professional, experienced, novice and collegiate players. Most of the studies used video-based analysis (n = 37) to quantify collisions. In rugby union, on average a total of 22.0 (19.0–25.0) scrums, 116.2 (62.7–169.7) rucks, and 156.1 (121.2–191.0) tackles occur per match. In sevens, on average 1.8 (1.7–2.0) scrums, 4.8 (0–11.8) rucks and 14.1 (0–32.8) tackles occur per match. Conclusions This review showed more studies quantified collisions in matches compared to training. To ensure athletes are adequately prepared for match collision loads, training should be prescribed to meet the match demands. Per minute, rugby sevens players perform more tackles and ball carries into contact than rugby union players and forwards experienced more impacts and tackles than backs. Forwards also perform more very heavy impacts and severe impacts than backs in rugby union. To improve the relationship between matches and training, integrating both video-based analysis and microtechnology is recommended. The frequency and intensity of collisions in training and matches may lead to adaptations for a “collision-fit” player and lend itself to general training principles such as periodisation for optimum collision adaptation. Trial Registration PROSPERO registration number: CRD42020191112. Supplementary Information The online version contains supplementary material available at 10.1186/s40798-021-00398-4.
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Affiliation(s)
- Lara Paul
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa. .,Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
| | - Mitchell Naughton
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Sippy Downs, QLD, Australia.,Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, QLD, Australia
| | - Ben Jones
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.,School of Science and Technology, University of New England, Armidale, NSW, Australia.,Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.,Leeds Rhinos Rugby League Club, Leeds, UK.,England Performance Unit, The Rugby Football League, Leeds, UK
| | - Demi Davidow
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.,Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Amir Patel
- Department of Electrical Engineering, African Robotics unit, University of Cape Town, Western Cape, South Africa
| | - Mike Lambert
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.,Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Sharief Hendricks
- Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.,Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK.,Health Through Physical Activity, Lifestyle and Sport Research Centre (HPALS), Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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Shushan T, McLaren SJ, Buchheit M, Scott TJ, Barrett S, Lovell R. Submaximal Fitness Tests in Team Sports: A Theoretical Framework for Evaluating Physiological State. Sports Med 2022; 52:2605-2626. [PMID: 35817993 PMCID: PMC9584880 DOI: 10.1007/s40279-022-01712-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/22/2022] [Indexed: 02/01/2023]
Abstract
Team-sports staff often administer non-exhaustive exercise assessments with a view to evaluating physiological state, to inform decision making on athlete management (e.g., future training or recovery). Submaximal fitness tests have become prominent in team-sports settings for observing responses to a standardized physical stimulus, likely because of their time-efficient nature, relative ease of administration, and physiological rationale. It is evident, however, that many variations of submaximal fitness test characteristics, response measures, and monitoring purposes exist. The aim of this scoping review is to provide a theoretical framework of submaximal fitness tests and a detailed summary of their use as proxy indicators of training effects in team sports. Using a review of the literature stemming from a systematic search strategy, we identified five distinct submaximal fitness test protocols characterized in their combinations of exercise regimen (continuous or intermittent) and the progression of exercise intensity (fixed, incremental, or variable). Heart rate-derived indices were the most studied outcome measures in submaximal fitness tests and included exercise (exercise heart rate) and recovery (heart rate recovery and vagal-related heart rate variability) responses. Despite the disparity between studies, these measures appear more relevant to detect positive chronic endurance-oriented training effects, whereas their role in detecting negative transient effects associated with variations in autonomic nervous system function is not yet clear. Subjective outcome measures such as ratings of perceived exertion were less common in team sports, but their potential utility when collected alongside objective measures (e.g., exercise heart rate) has been advocated. Mechanical outcome measures either included global positioning system-derived locomotor outputs such as distance covered, primarily during standardized training drills (e.g., small-sided games) to monitor exercise performance, or responses derived from inertial measurement units to make inferences about lower limb neuromuscular function. Whilst there is an emerging interest regarding the utility of these mechanical measures, their measurement properties and underpinning mechanisms are yet to be fully established. Here, we provide a deeper synthesis of the available literature, culminating with evidence-based practical recommendations and directions for future research.
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Affiliation(s)
- Tzlil Shushan
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
| | - Shaun J. McLaren
- Newcastle Falcons Rugby Club, Newcastle upon Tyne, UK ,grid.8250.f0000 0000 8700 0572Department of Sport and Exercise Sciences, Durham University, Durham, UK
| | - Martin Buchheit
- HIIT Science, Revelstoke, BC Canada ,grid.418501.90000 0001 2163 2398French National Institute of Sport (INSEP), Laboratory of Sport, Expertise and Performance (EA 7370), Paris, France ,Kitman Labs, Performance Research Intelligence Initiative, Dublin, Ireland ,grid.1019.90000 0001 0396 9544Institute for Health and Sport, Victoria University, Melbourne, VIC Australia
| | - Tannath J. Scott
- Netball Australia, Melbourne, VIC Australia ,grid.10346.300000 0001 0745 8880Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - Steve Barrett
- Department of Sport Science Innovation, Playermaker, London, UK
| | - Ric Lovell
- grid.1029.a0000 0000 9939 5719School of Health Sciences, Western Sydney University, Sydney, NSW Australia
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Purdom TM, Levers KS, Giles J, Brown L, McPherson CS, Howard J. Accumulative Competitive Season Training Stress Affects Neuromuscular Function and Increases Injury Risk in Uninjured D1 Female Athletes. Front Sports Act Living 2021; 2:610475. [PMID: 33644748 PMCID: PMC7902694 DOI: 10.3389/fspor.2020.610475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/31/2020] [Indexed: 11/23/2022] Open
Abstract
Previous research has shown that acute competition training stress negatively affects neuromuscular function which can perpetuate a predisposition to injury. This study's aim was to investigate the effect of accumulated competition training stress effect on neuromuscular function and incidence of increased injury risk in uninjured female D1 soccer players. Neuromuscular function was evaluated in fifteen female division I soccer athletes who played >85% of competitive season competitions who were tested for mobility/stability, leg length symmetry, and vertical power at three different points across the competitive season (pre, mid, and post time blocks). Leg length symmetry was measured from the anterior superior iliac spine to the lateral malleolus prior to Y-balance testing. The Y-balance testing measures unilateral anterior, posteromedial, and posterolateral reach achieved in single leg stance using metrics that include L/R normalized composite reach (NCOMP), L/R normalized antiorior reach (NANT), and L/R NCOMP/NANT segmental differences across time. Injury risk was evaluated using validated objective criteria that included: (NCOMP total reach <94% of limb length*3), (NANT reach distance <84% leg length) along with NCOMP and NANT asymmetries >4.0. Maximal vertical power (MVP) was measured via vertical jump. Multiple repeated measures ANOVAs evaluated NCOMP, NANT, MVP, and leg length symmetry across time with LSD post hoc testing when relevant (X ± SD). A significant main effect was found [F(1, 14) = 62.92, p < 0.001; η2 =0.82] with training stress and neuromuscular function without affecting maximal vertical power. Eighty percent of subject's bilateral NCOMP scores fell below the YBT reach standard at midseason (ES = 0.95, p = 0.02) while all subjects NANT reach distance remained below the reach threshold (ES = 0.74, p = 0.003) indicating a 6.5× and 2.5× greater injury risk, respectively. Competition stress affected neuromuscular function without affecting maximal power, which negatively impacted stability and increased injury risk.
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Affiliation(s)
- Troy M Purdom
- Department of Kinesiology, North Carolina Agriculture and Technical State University, Greensboro, NC, United States
| | - Kyle S Levers
- Department of Exercise and Nutrition Sciences, George Washington University, Washington, DC, United States
| | - Jacob Giles
- Department of Health, Athletic Training, Recreation, and Kinesiology, Longwood University, Farmville, VA, United States
| | - Lindsey Brown
- Department of Health, Athletic Training, Recreation, and Kinesiology, Longwood University, Farmville, VA, United States.,Department of Occupational Therapy, Virginia Common Wealth University, Richmond, VA, United States
| | - Chase S McPherson
- Department of Health, Athletic Training, Recreation, and Kinesiology, Longwood University, Farmville, VA, United States
| | - Jordan Howard
- Department of Health, Athletic Training, Recreation, and Kinesiology, Longwood University, Farmville, VA, United States
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Rugby game performances and weekly workload: Using of data mining process to enter in the complexity. PLoS One 2020; 15:e0228107. [PMID: 31995600 PMCID: PMC6988915 DOI: 10.1371/journal.pone.0228107] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Accepted: 01/07/2020] [Indexed: 11/24/2022] Open
Abstract
This study aimed to i) identify key performance indicators of professional rugby matches, ii) define synthetic indicators of performance and iii) analyze how weekly workload (2WL) influences match performance throughout an entire season at different time-points (considering WL of up to 8 weeks prior to competition). This study uses abundant sports data and data mining techniques to assess player performance and to determine the influence of 2WL on performance. WL, locomotor activity and rugby specific actions were collected on 14 professional players (26.9 ± 1.9 years) during training and official matches. In order to highlight key performance indicators, a mixed-linear model was used to compare the players’ activity relatively to competition results. This analysis showed that defensive skills represent a fundamental factor of team performance. Furthermore, a principal component analysis demonstrated that 88% of locomotor activity could be highlighted by 2 dimensions including total distance, high-speed/metabolic efforts and the number of sprints and accelerations. The final purpose of this study was to analyze the influence that WL has on match performance. To verify this, 2 different statistical models were used. A threshold-based model, from data mining processes, identified the positive influence (p<0.05) that chronic body impacts has on the ability to win offensive 1 on 1 duels during competition. This study highlights practical implications necessary for developing a better understanding of rugby match performance through the use of data mining processes.
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