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Thompson F, Rongen F, Cowburn I, Till K. A Longitudinal Mixed Methods Case Study Investigation of the Academic, Athletic, Psychosocial and Psychological Impacts of Being a Sport School Student Athlete. Sports Med 2024:10.1007/s40279-024-02021-4. [PMID: 38635007 DOI: 10.1007/s40279-024-02021-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/11/2024] [Indexed: 04/19/2024]
Abstract
BACKGROUND Sport schools are popular environments for simultaneously delivering education and sport to young people. Previous research suggests sport school involvement to have impact (i.e. the positive/negative, intended/unintended and long/short-term outcomes, results and effects) on student athlete's holistic (i.e. academic, athletic, psychosocial and psychological) development. However, previous research is limited by (1) cross-sectional methods, (2) limited multidimensional assessments, (3) lack of consideration for athlete characteristics (e.g. sex) and (4) failure to evaluate how sport school features affect student-athlete impacts. OBJECTIVES The study, using a mixed methods case study approach, aims to (1) longitudinally evaluate the impact of sport school involvement on the holistic development of student athletes, (2) evaluate the impact on holistic development by student-athlete characteristics and (3) explore the features and processes of the sport-school programme that drive/facilitate holistic impacts. METHODS A longitudinal mixed methods design was employed across one full academic school year (33 weeks). Six data-collection methods (i.e. online questionnaire, physical fitness testing battery, academic assessment grades, log diaries, field notes/observation and timeline diagram/illustration) were used to assess the academic, athletic, psychosocial and psychological impacts for 72 student athletes from one sport school in the United Kingdom (UK). RESULTS Student athletes developed positive long-term holistic overall impacts (i.e. academically, athletically and personally), including maintaining stable and relatively high levels of sport confidence, academic motivation, general recovery, life skills, resilience and friends, family and free time scores. Despite positive impacts, juggling academic and sport workload posed challenges for student athletes, having the potential to lead to negative holistic impacts (e.g. fatigue, stress and injury). Positive and negative impacts were linked to many potential features and processes of the sport school (e.g. academic and athletic support services versus insufficient training load build-up, communication, coordination, flexibility and planning). Furthermore, when considering student-athlete characteristics, females had lower sport confidence, higher general stress and body image concerns and less general recovery than males and student athletes who played sport outside the school had lower general recovery. CONCLUSIONS This mixed method, longitudinal study demonstrated sport school involvement resulted in many positive academic (e.g. good grades), athletic (e.g. fitness development), psychosocial (e.g. enhanced confidence) and psychological (e.g. improved resilience) impacts attributed to the academic and athletic support services provided. However, juggling heavy academic and athletic workloads posed challenges leading to negative impacts including fatigue, pressure, stress and injury. Furthermore, holistic impacts may be sex dependent and further support may be required for female student athletes in sport school environments. Overall, these findings demonstrate the complex nature of combining education and sport commitments and how sport schools should manage, monitor and evaluate the features of their programme to maximise the holistic impacts of sport-school student athletes.
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Affiliation(s)
- Ffion Thompson
- Room G07, Cavendish Hall, Carnegie School of Sport, Leeds Beckett University, Headingley Campus, Leeds, LS6 3QS, UK.
- Queen Ethelburga's College, York, UK.
| | - Fieke Rongen
- School of Science and Technology, Nottingham Trent University, Nottingham, UK
| | - Ian Cowburn
- Room G07, Cavendish Hall, Carnegie School of Sport, Leeds Beckett University, Headingley Campus, Leeds, LS6 3QS, UK
| | - Kevin Till
- Room G07, Cavendish Hall, Carnegie School of Sport, Leeds Beckett University, Headingley Campus, Leeds, LS6 3QS, UK
- Leeds Rhinos Rugby League Club, Leeds, UK
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Salter J, Julian R, Mentzel SV, Hamilton A, Hughes JD, De St Croix M. Maturity status influences perceived training load and neuromuscular performance during an academy soccer season. Res Sports Med 2024; 32:235-247. [PMID: 35860914 DOI: 10.1080/15438627.2022.2102916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 06/20/2022] [Indexed: 10/17/2022]
Abstract
Commonly we see large within-age-group variations in physique, including body mass, stature, and percentages of predicted adult height, which suggests that age-specified training loads are flawed. Aims were to investigate how maturation impacts training load and neuromuscular response within academy soccer and to provide recommendations for practitioners. Fifty-five male soccer players (age 14.5 ± 1.2 years; stature 172 ± 10 cm; body mass 59.8 ± 10 kg; 94.1 ± 1.8% predicted adult height) reported differential ratings of perceived exertion (AU) across a season. Neuromuscular performance (countermovement jump, reactive strength index, absolute and relative leg stiffness) was measured at three time points across the season. Perceived exertion and neuromuscular performance were examined using linear mixed modelling, supplemented with non-clinical magnitude-based decisions. Analysis indicates every 5% increase in maturity status results in players perceiving overall session intensity 6.9 AU lower and 13.9 AU lower for a 10% maturity shift. Both 5% and 10% changes in maturity most likely resulted in higher countermovement jump, with likely to very likely differences observed for RSI and ABS. Maturity substantially influences neuromuscular performance over the season. Therefore, maturity-specific load prescription may prevent significant within age-group differences in accumulated load, possibly reducing injury risk and/or burnout.
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Affiliation(s)
- Jamie Salter
- School of Science, Technology and Health, York St John University, York, England
- School of Sport and Exercise, University of Gloucestershire, Gloucester, UK
| | - Ross Julian
- School of Sport and Exercise, University of Gloucestershire, Gloucester, UK
- Institute of Sport and Exercise Sciences, University of Muenster, Muenster, Germany
| | - Stijn V Mentzel
- Institute of Sport and Exercise Sciences, University of Muenster, Muenster, Germany
| | | | - Jonathan D Hughes
- School of Sport and Exercise, University of Gloucestershire, Gloucester, UK
| | - Mark De St Croix
- School of Sport and Exercise, University of Gloucestershire, Gloucester, UK
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Thompson F, Rongen F, Cowburn I, Till K. What is it like to be a sport school student-athlete? A mixed method evaluation of holistic impacts and experiences. PLoS One 2023; 18:e0289265. [PMID: 38033107 PMCID: PMC10688867 DOI: 10.1371/journal.pone.0289265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 07/17/2023] [Indexed: 12/02/2023] Open
Abstract
Assessing the holistic impact of student-athletes within sport schools is important due to the increasing popularity of sport school programmes, the likelihood that most youth athletes do not ultimately succeed in their sport and the multiple and wide ranging positive and negative impacts associated with intensified youth sport. Therefore, this study, using a mixed method design, aimed to evaluate the 'in-time' holistic impacts and experiences of being a sport school student-athlete. Five data collection methods (i.e., online questionnaire, physical fitness testing battery, academic assessments grades, injury data and log diaries) were used to assess athletic, academic, psychological and psychosocial holistic impacts and experiences of 83 student-athletes from one sport school in the United Kingdom (UK). Due to the mixed method approach, a triangulation design was used whereby quantitative and qualitative data were firstly analysed separately and then integrated and presented together. Overall, the findings demonstrated there were a multitude of positive impacts and experiences associated with being a sport school student-athlete. These included: high average academic attainment, satisfaction with academic support, sport competence, all-round sport development, higher general and sport specific recovery than stress, inter- and intra-personal development, social support, positive peer and parent relationships and dual career motivation. However, impacts and experiences of concern were also apparent including: participation in sport external to the school context, difficulty balancing education and sport, academic lessons missed, injury, fatigue, lack of free time, extra-curricular and social sacrifice, social intensity and body image concerns. Large inter-individual variability was demonstrated across all data analyses highlighting the variable nature of the impacts and experiences of being a sports school student-athlete. Overall, sport schools have the potential to promote many positive holistic impacts, however stakeholders need to be aware, monitor and mitigate the potential negative impacts. Flexible development programmes, individualised support and student-athlete monitoring are essential features required of sport schools to ensure healthy and holistic development for all sport school student-athletes.
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Affiliation(s)
- Ffion Thompson
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
| | - Fieke Rongen
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
| | - Ian Cowburn
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
| | - Kevin Till
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
- Leeds Rhinos Rugby League Club, Leeds, United Kingdom
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Dudley C, Johnston R, Jones B, Till K, Westbrook H, Weakley J. Methods of Monitoring Internal and External Loads and Their Relationships with Physical Qualities, Injury, or Illness in Adolescent Athletes: A Systematic Review and Best-Evidence Synthesis. Sports Med 2023; 53:1559-1593. [PMID: 37071283 PMCID: PMC10356657 DOI: 10.1007/s40279-023-01844-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/19/2023] [Indexed: 04/19/2023]
Abstract
BACKGROUND With the increasing professionalisation of youth sports, training load monitoring is increasingly common in adolescent athletes. However, the research examining the relationship between training load and changes in physical qualities, injury, or illness in adolescent athletes is yet to be synthesised in a systematic review. OBJECTIVE The aim of this review was to systematically examine the research assessing internal and external methods of monitoring training load and physical qualities, injury, or illness in adolescent athletes. METHODS Systematic searches of SPORTDiscus, Web of Science, CINAHL and SCOPUS were undertaken from the earliest possible records to March 2022. Search terms included synonyms relevant to adolescents, athletes, physical qualities, injury, or illness. To be eligible for inclusion, articles were required to (1) be original research articles; (2) be published in a peer-reviewed journal; (3) include participants aged between 10 and 19 years and participating in competitive sport; (4) report a statistical relationship between a measure of internal and/or external load and physical qualities, injury or illness. Articles were screened and assessed for methodological quality. A best-evidence synthesis was conducted to identify trends in the relationships reported. RESULTS The electronic search yielded 4125 articles. Following screening and a review of references, 59 articles were included. The most commonly reported load monitoring tools were session ratings of perceived exertion (n = 29) and training duration (n = 22). Results of the best-evidence synthesis identified moderate evidence of positive relationships between resistance training volume load and improvement in strength, and between throw count and injury. However, evidence for other relationships between training load and change in physical qualities, injury, or illness were limited or inconsistent. CONCLUSIONS Practitioners should consider monitoring resistance training volume load for strength training. Additionally, where appropriate, monitoring throw counts may be useful in identifying injury risk. However, given the lack of clear relationships between singular measures of training load with physical qualities, injury, or illness, researchers should consider multivariate methods of analysing training load, as well as factors that may mediate the load-response relationship, such as maturation.
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Affiliation(s)
- Charles Dudley
- School of Behavioural and Health Sciences, Australian Catholic University, Banyo Campus, Brisbane, Australia.
- St Joseph's Nudgee College, Boondall, Brisbane, Australia.
| | - Rich Johnston
- School of Behavioural and Health Sciences, Australian Catholic University, Banyo Campus, Brisbane, Australia
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
| | - Ben Jones
- 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
- Premiership Rugby, London, UK
- Leeds Rhinos Rugby League Club, Leeds, UK
- England Performance Unit, The Rugby Football League, Leeds, UK
| | - Kevin Till
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- Leeds Rhinos Rugby League Club, Leeds, UK
| | | | - Jonathon Weakley
- School of Behavioural and Health Sciences, Australian Catholic University, Banyo Campus, Brisbane, Australia
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, UK
- Sports Performance, Recovery, Injury and New Technologies (SPRINT) Research Centre, Australian Catholic University, Brisbane, Australia
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Salter J, Black J, Mallett J, Barrett S, Towlson C, Hughes JD, De St Croix M. Does biologically categorised training alter the perceived exertion and neuromuscular movement profile of academy soccer players compared to traditional age-group categorisation? Eur J Sport Sci 2023; 23:1490-1499. [PMID: 35999705 DOI: 10.1080/17461391.2022.2117090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
The individual response to load is multifactorial and complicated by transient temporal changes in biological maturation. The period surrounding peak height velocity exposes potentially "fragile" individuals to systematic, age-related increases in training loads. Bio-banding allows practitioners to manage the biological diversity and align training to the individual development needs . This study explores the acute impact of maturation on neuromuscular performance and perceived intensity through comparing both chronological and bio-banded training sessions. 55 male soccer players (mean ± SD; age 13.8 ± 1.4 years) were recruited from an EPPP academy. Following a warm-up and standardised sub-maximal run (30-15IFT), players competed in five bouts of 5-min 6v6 small-sided games (SSGs) before repeating the standardised sub-maximal run. The sessions were repeated on three occasions with chronological SSGs and the same with bio-banded SSGs wearing foot-mounted inertial measurement units (PlayerMakerTM) with differential ratings of perceived exertion used to quantify internal loads. Mixed linear modelling indicated maturity-specific pre-post differences in neuromuscular response, stride length and cadence having contrasting responses pre- (reduced) and post-PHV (increased), and larger changes in post sessions stiffness for pre- (∼18.6 kN·m-1) and circa-PHV (∼12.1 kN·m-1) players. Secondly, there were small to large differences in neuromuscular response (RSI, stride length, stiffness, and contact time) and perceptions of intensity between conditions, with bio-banding generally reducing pre-post changes. Bio-banding may therefore offer a mechanism to prescribe maturity-specific training loads which may help to alleviate the impact of repeated exposure to high-intensity activity, thus reducing injury risk whilst promoting long-term player development.Highlights Utilising a sub-maximal running protocol (30-15IFT) with foot mounted accelerometers can detect maturity specific responses to football specific training activity, which aligns with subjective perceptions of intensity.Chronologically derived small-sided games elicit different acute responses between players of varying maturity status, which is somewhat negated when bio-banded small-sided games are used instead.Bio-banding training sessions may offer practitioners a practical way of managing maturity-specific trainings load to reduce injury risk and promote long-term players development.
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Affiliation(s)
- Jamie Salter
- School of Science, Technology and Health, York St John University, York, England
- School of Sport and Exercise, University of Gloucestershire, Gloucester, England
| | - James Black
- School of Science, Technology and Health, York St John University, York, England
| | - James Mallett
- Faculty of Health Sciences, University of Hull, Hull, England
- Hull City FC, Hull, England
| | | | | | - Jonathan D Hughes
- School of Sport and Exercise, University of Gloucestershire, Gloucester, England
| | - Mark De St Croix
- School of Sport and Exercise, University of Gloucestershire, Gloucester, England
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The field and resistance training loads of academy rugby league players during a pre-season: Comparisons across playing positions. PLoS One 2022; 17:e0272817. [PMID: 35944037 PMCID: PMC9362933 DOI: 10.1371/journal.pone.0272817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/26/2022] [Indexed: 11/19/2022] Open
Abstract
Male academy rugby league players are required to undertake field and resistance training to develop the technical, tactical and physical qualities important for success in the sport. However, limited research is available exploring the training load of academy rugby league players. Therefore, the purpose of this study was to quantify the field and resistance training loads of academy rugby league players during a pre-season period and compare training loads between playing positions (i.e., forwards vs. backs). Field and resistance training load data from 28 adolescent male (age 17 ± 1 years) rugby league players were retrospectively analysed following a 13-week pre-season training period (85 total training observations; 45 field sessions and 40 resistance training sessions). Global positioning system microtechnology, and estimated repetition volume was used to quantify external training load, and session rating of perceived exertion (sRPE) was used to quantify internal training load. Positional differences (forwards n = 13 and backs n = 15) in training load were established using a linear mixed effect model. Mean weekly training frequency was 7 ± 2 with duration totaling 324 ± 137 minutes, and a mean sRPE of 1562 ± 678 arbitrary units (AU). Backs covered more high-speed distance than forwards in weeks two (p = 0.024), and 11 (p = 0.028). Compared to the forwards, backs completed more lower body resistance training volume in week one (p = 0.02), more upper body volume in week three (p< 0.001) and week 12 (p = 0.005). The findings provide novel data on the field and resistance-based training load undertaken by academy rugby league players across a pre-season period, highlighting relative uniformity between playing positions. Quantifying training load can support objective decision making for the prescription and manipulation of future training, ultimately aiming to maximise training within development pathways.
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Till K, Lloyd RS, McCormack S, Williams G, Baker J, Eisenmann JC. Optimising long-term athletic development: An investigation of practitioners' knowledge, adherence, practices and challenges. PLoS One 2022; 17:e0262995. [PMID: 35077515 PMCID: PMC8789126 DOI: 10.1371/journal.pone.0262995] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Accepted: 01/10/2022] [Indexed: 11/23/2022] Open
Abstract
Long-term athletic development practices have been recommended for the past two decades. However, limited research exists exploring the knowledge and skills required by practitioners to optimise long-term athletic development. Therefore, this study aimed to evaluate the knowledge, adherence, practices, and challenges of practitioners responsible for delivering long-term athletic development. A mixed methods survey was completed by 236 practitioners (e.g., sport coaches, physical education teachers) consisting of four parts; 1) demographics, 2) knowledge, 3) adherence, and 4) practices and challenges. Quantitative and qualitative data were analysed by Friedman’s analysis of variance and thematic analyses, respectively. Quantitative findings showed practitioners 1) recognised their responsibility for delivering long-term athletic development, 2) have a familiarity with existing developmental models, and 3) had high adherence, focused upon health and wellbeing, to delivering long-term athletic development. However, practices associated with growth and maturity, monitoring and assessment, and the systematic progression and individualisation of training had lower adherence. Qualitative analysis indicated that practitioner’s perceived definitions of athleticism and long-term athletic development were inconsistent, especially according to the psychological components (i.e., confidence). Practitioners’ descriptions of their long-term athletic development practices identified two higher order themes; 1) goals, in which long-term athletic development “is for life” and the importance of “an individual centered journey” highlighted as sub-themes; and 2) realities of delivering long-term athletic development, whereby variety in programme delivery, monitoring development and practical challenges were noted as key priorities. Eight practical challenges were identified including governance and priorities, resources, education, early specialization, high training volumes, staff communication, parents and youth motivation. This mixed method survey highlighted a multitude of knowledge, adherence, practices and challenges towards long-term athletic development. These novel findings can help inform policy to optimise long-term athletic development and to support the complex problem of developing a healthier, fitter and more physically active youth population.
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Affiliation(s)
- Kevin Till
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
- Leeds Rhinos Rugby League Club, Leeds, United Kingdom
- * E-mail:
| | - Rhodri S. Lloyd
- Youth Physical Development Centre, Cardiff School of Sport, Cardiff Metropolitan University, Cardiff, United Kingdom
- Sports Performance Research Institute New Zealand (SPRINZ), AUT University, Auckland, New Zealand
- Centre for Sport Science and Human Performance, Waikato Institute of Technology, Hamilton, New Zealand
| | - Sam McCormack
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
- England Performance Unit, Rugby Football League, Leeds, United Kingdom
| | | | - Joseph Baker
- School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada
| | - Joey C. Eisenmann
- Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
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Scantlebury S, Till K, Sawczuk T, Dalton-Barron N, Phibbs P, Jones B. The Frequency and Intensity of Representative and Nonrepresentative Late Adolescent Team-Sport Athletes' Training Schedules. J Strength Cond Res 2021; 35:3400-3406. [PMID: 32084108 DOI: 10.1519/jsc.0000000000003449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
ABSTRACT Scantlebury, S, Till, K, Sawczuk, T, Dalton-Barron, N, Phibbs, P, and Jones, B. The frequency and intensity of representative and nonrepresentative late adolescent team-sport athletes' training schedules. J Strength Cond Res 35(12): 3400-3406, 2021-This study aimed to identify and compare the training frequency and intensity (via session rating of perceived exertion load [sRPE load]) of representative and nonrepresentative late adolescent athletes. Thirty-six team sport athletes completed a web-based questionnaire daily over an 8-month period, reporting their training/match activities from the previous day. Athletes were categorized as representative (academy/county/international) or nonrepresentative (club/school) depending on the highest level of their sport they participated. Mean weekly frequencies and sRPE load of different training/match activities were quantified for each athlete across 5 school terms. Mann-Whitney U tests established the significance of differences and effect sizes between playing standards for mean weekly frequencies and mean sRPE load. Within-athlete weekly sRPE loads were highly variable for both playing standards; however, representative level athletes participated in significantly more activity outside of school compared with nonrepresentative athletes during November-December (effect size; 0.43-club technical training; 0.36-club matches), January-February (effect size; 0.78-club technical training; 0.75-club matches), and February-March (effect size; 0.63-club technical training; 0.44-club matches). Therefore, club and school coaches must ensure that all elements of representative athletes training schedules are coordinated and flexible to promote positive adaptions to training such as skill and physical development and prevent maladaptive responses such as overuse injury and nonfunctional overreaching. A cooperative and malleable training schedule between club/school coaches and the athlete will allow the athlete to perform on multiple fronts while also being able to meet the demands of additional stressors such as schoolwork.
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Affiliation(s)
- Sean Scantlebury
- Carnegie Applied Rugby Research (CARR) Center, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, United Kingdom
- Queen Ethelburgas Collegiate, York, United Kingdom
| | - Kevin Till
- Carnegie Applied Rugby Research (CARR) Center, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, United Kingdom
- Yorkshire Carnegie Rugby Union Club, Leeds, United Kingdom
| | - Thomas Sawczuk
- Carnegie Applied Rugby Research (CARR) Center, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, United Kingdom
- Queen Ethelburgas Collegiate, York, United Kingdom
| | - Nicholas Dalton-Barron
- Carnegie Applied Rugby Research (CARR) Center, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, United Kingdom
- Catapult Sports, Melbourne, Australia
| | - Padraic Phibbs
- Carnegie Applied Rugby Research (CARR) Center, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, United Kingdom
| | - Ben Jones
- Carnegie Applied Rugby Research (CARR) Center, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, United Kingdom
- Yorkshire Carnegie Rugby Union Club, Leeds, United Kingdom
- England Performance Unit, The Rugby Football League, Leeds, United Kingdom
- School of Science and Technology, University of New England, Armidale, New South Wales, Australia
- Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, The University of Cape Town and the Sports Science Institute of South Africa, Cape Town, South Africa ; and
- Leeds Rhinos RLFC, Leeds, United Kingdom
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Jayanthi N, Schley S, Cumming SP, Myer GD, Saffel H, Hartwig T, Gabbett TJ. Developmental Training Model for the Sport Specialized Youth Athlete: A Dynamic Strategy for Individualizing Load-Response During Maturation. Sports Health 2021; 14:142-153. [PMID: 34763556 DOI: 10.1177/19417381211056088] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
CONTEXT Most available data on athletic development training models focus on adult or professional athletes, where increasing workload capacity and performance is a primary goal. Development pathways in youth athletes generally emphasize multisport participation rather than sport specialization to optimize motor skill acquisition and to minimize injury risk. Other models emphasize the need for accumulation of sport- and skill-specific hours to develop elite-level status. Despite recommendations against sport specialization, many youth athletes still specialize and need guidance on training and competition. Medical and sport professionals also recommend progressive, gradual increases in workloads to enhance resilience to the demands of high-level competition. There is no accepted model of risk stratification and return to play for training a specialized youth athlete through periods of injury and maturation. In this review, we present individualized training models for specialized youth athletes that (1) prioritize performance for healthy, resilient youth athletes and (2) are adaptable through vulnerable maturational periods and injury. EVIDENCE ACQUISITION Nonsystematic review with critical appraisal of existing literature. STUDY DESIGN Clinical review. LEVEL OF EVIDENCE Level 4. RESULTS A number of factors must be considered when developing training programs for young athletes: (1) the effect of sport specialization on athlete development and injury, (2) biological maturation, (3) motor and coordination deficits in specialized youth athletes, and (4) workload progressions and response to load. CONCLUSION Load-sensitive athletes with multiple risk factors may need medical evaluation, frequent monitoring, and a program designed to restore local tissue and sport-specific capacity. Load-naive athletes, who are often skeletally immature, will likely benefit from serial monitoring and should train and compete with caution, while load-tolerant athletes may only need occasional monitoring and progress to optimum loads. STRENGTH OF RECOMMENDATION TAXONOMY (SORT) B.
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Affiliation(s)
- Neeru Jayanthi
- Departments of Orthopaedics and Family Medicine, Emory School of Medicine, Atlanta, Georgia.,Emory Sports Medicine Center, Johns Creek, Georgia.,Emory Sport Performance and Research Center, Flowery Branch, Georgia
| | | | - Sean P Cumming
- Department for Health, University of Bath, Bath, United Kingdom
| | - Gregory D Myer
- Emory Sports Medicine Center, Johns Creek, Georgia.,Emory Sport Performance and Research Center, Flowery Branch, Georgia.,Department of Orthopaedics, Emory University School of Medicine, Atlanta, Georgia.,The Micheli Center for Sports Injury Prevention, Waltham, Massachusetts
| | - Heather Saffel
- South Bend-Notre Dame Sports Medicine Fellowship, Beacon Bone & Joint Specialists, South Bend, Indiana
| | - Tim Hartwig
- School of Behavioural and Health Sciences, Strathfield Campus, Australian Catholic University, Strathfield, New South Wales, Australia
| | - Tim J Gabbett
- Gabbett Performance Solutions, Brisbane, Queensland, Australia.,Centre for Health Research, University of Southern Queensland, Ipswich, Queensland, Australia
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Abstract
Context: The assumed risks of early specialization in sport are well known, with several international consensus statements advising against specialization in early athlete development. However, there have been recent calls for more focused research in this area. Evidence Acquisition: Research evidence from several scientific disciplines (eg, sport psychology, sports medicine, human development) were synthesized to develop a framework for practitioners working with adolescent athletes. Study Design: Narrative review. Level of Evidence: Level 4. Results: There appear to be risks associated with a highly specialized approach to athlete training, but the mechanisms driving these effects are largely unknown. Greater attention to understanding these mechanisms would help mitigate risk and develop stronger policy for athlete development. Recommendations for program modifications are provided. Conclusion: Early specialization remains an important topic for researchers and practitioners working with youth and adolescent athletes. However, more work needs to be done to provide truly evidence-based recommendations for youth athlete training.
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Affiliation(s)
| | - Kevin Till
- Leeds Beckett University, Leeds, England, UK
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11
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Saidi O, Pereira B, Peyrel P, Maso F, Doré E, Rochette E, Ratel S, Walrand S, Duché P. Sleep pattern and staging in elite adolescent rugby players during the in-season competitive phase compared to an age matched non-athlete population. Eur J Sport Sci 2021; 22:499-510. [PMID: 33546579 DOI: 10.1080/17461391.2021.1887368] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Young athletes must contend with the constraints of elite sports on top of school commitments and the physiological processes associated with adolescence. This study assessed week and weekend sleep and schedule of activities in elite adolescent rugby players during the in-season competitive phase compared with age-matched non-athlete controls. 32 adolescents (GR: 16 elite rugby players, GC: 16 controls) from the same boarding school filled out a daily schedule of activities and a sleep diary, and wore a multichannel electroencephalogram for 14 days. They later filled out questionnaires on their sleep quality, sleepiness, and perceived stress. Both groups showed insufficient sleep duration during the week (<7 h). Only GC caught up on their sleep debt during the weekend (increased TIB, TST and time spent in REM sleep, all p < 0.001). Weekend TIB, TST and, N3 sleep remained similar to that for weekdays in GR. However, GR experienced lower sleep quality (decreased SE, increased WASO, all p < 0.01) and a decrease in REM sleep (p < 0.01). Schedules of activities showed an increase in time spent on overall activities during the weekend, mainly due to competition and sport-specific travel, which resulted in a decrease in sleep opportunity time compared with GC (p < 0.001). Δ sleep opportunity time (weekend-week) was associated with Δ TST (weekend-week), and Δ TST (weekend-week) was associated with sleepiness and perceived stress. Busy schedules during the competitive season decreased sleep opportunity time and prevented elite adolescent rugby players from catching up on their sleep at weekends.HIGHLIGHTS Adolescent rugby players have insufficient sleep during both week and weekend of the in-season competitive phaseCongested schedule prevented elite adolescent rugby players from catching up on their sleep at weekends.Sleep considerations are necessary when planning the weekend sporting schedules.
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Affiliation(s)
- Oussama Saidi
- Clermont Auvergne University, laboratory of Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), Clermont-Ferrand, France.,Center for Research in Human Nutrition Auvergne Clermont-Ferrand, France.,Toulon University, laboratory Physical Activity impact on Health (IAPS) Toulon, France
| | - Bruno Pereira
- Biostatistics Unit (DRCI), Clermont-Ferrand University Hospital Clermont-Ferrand, France
| | - Paul Peyrel
- Clermont Auvergne University, laboratory of Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), Clermont-Ferrand, France
| | - Freddy Maso
- Rugby Training Center of the Sportive Association Montferrandaise Clermont-Ferrand, France
| | - Eric Doré
- Clermont Auvergne University, laboratory of Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), Clermont-Ferrand, France.,Center for Research in Human Nutrition Auvergne Clermont-Ferrand, France
| | - Emmanuelle Rochette
- Toulon University, laboratory Physical Activity impact on Health (IAPS) Toulon, France.,Department of Pediatrics, Clermont-Ferrand University Hospital Clermont-Ferrand, France.,Clermont Auvergne University, INSERM, CIC 1405 Clermont-Ferrand, France
| | - Sébastien Ratel
- Clermont Auvergne University, laboratory of Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), Clermont-Ferrand, France.,Center for Research in Human Nutrition Auvergne Clermont-Ferrand, France
| | - Stéphane Walrand
- Center for Research in Human Nutrition Auvergne Clermont-Ferrand, France.,Clermont Auvergne University, INRA Clermont-Ferrand, France
| | - Pascale Duché
- Toulon University, laboratory Physical Activity impact on Health (IAPS) Toulon, France
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12
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Geeson-Brown T, Jones B, Till K, Chantler S, Deighton K. Body composition differences by age and playing standard in male rugby union and rugby league: A systematic review and meta-analysis. J Sports Sci 2020; 38:2161-2176. [PMID: 32546054 DOI: 10.1080/02640414.2020.1775990] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
This systematic review and meta-analysis aimed to determine differences in body compositionn between playing standard and age in male rugby union and rugby league athletes. The MOOSE (Meta-analysis of Observational Studies in Epidemiology) guidelines for design, implementation, and reporting were followed. Studies were required to be in male rugby union or league and have body composition as the primary or secondary outcome. Data was required to be presented separately for positional groups and body composition presented as whole-body. A systematic search was performed in PubMed, Cochrane Library, MEDLINE, SPORTDiscus, and CINHAHL via EBSCOhost. 57 studies were included for meta-analysis. Results highlighted significantly higher fat-free mass in senior elite than senior sub-elite or junior elite athletes for all RU and RL forwards. Small and non-significant differences were found in fat mass between rugby union playing standards and age categories. Rugby league senior elite forwards had less fat mass than junior elite forwards. Practitioners should prioritise training and nutritional strategies that maximise fat-free mass development, especially in junior elite cohorts.
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Affiliation(s)
- Tom Geeson-Brown
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University , Leeds, UK.,Leeds Rhinos Rugby League Club , Leeds, UK
| | - Ben Jones
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University , Leeds, UK.,Leeds Rhinos Rugby League Club , Leeds, UK.,England Performance Unit, The Rugby Football League , Leeds, UK.,School of Science and Technology, University of New England , Armidale, Australia.,Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, The University of Cape Town and the Sports Science Institute of South Africa , Cape Town, South Africa
| | - Kevin Till
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University , Leeds, UK.,Leeds Rhinos Rugby League Club , Leeds, UK
| | - Sarah Chantler
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University , Leeds, UK.,Yorkshire Carnegie Rugby Union Club , Leeds, UK
| | - Kevin Deighton
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University , Leeds, UK
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13
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Owen C, Till K, Weakley J, Jones B. Testing methods and physical qualities of male age grade rugby union players: A systematic review. PLoS One 2020; 15:e0233796. [PMID: 32497130 PMCID: PMC7272054 DOI: 10.1371/journal.pone.0233796] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 05/12/2020] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Rugby union match demands are complex, requiring the development of multiple physical qualities concurrently. Quantifying the physical qualities of age grade rugby union players is vital for practitioners to support athlete preparation and long-term development. AIM This systematic review aimed to identify the methods used to quantify the physical qualities of male age grade (≤ Under-20) rugby union players, present the normative values for physical qualities, and compare physical qualities between age grades and positions. METHODS Electronic databases were systematically reviewed from the earliest record to November 2019 using key words relating to sex, age, sport and physical testing. RESULTS Forty-two studies evaluated the physical qualities of age grade rugby union players. Seventy-five tests were used to quantify body composition, muscular strength, muscular power, linear speed, change of direction ability, aerobic capacity and anaerobic endurance. Thirty-one studies met the eligibility criteria to present the physical qualities. Physical qualities differentiate between age groups below Under-16, while differences in older age groups (Under-16 to Under-20) are not clear. Positional differences are present with forwards possessing greater height, body mass, body fat percentage and strength while backs are faster and have greater aerobic capacities. CONCLUSIONS A wide variety of tests are used to assess physical qualities limiting between study comparisons. Although differences in older age grades are unclear, older age groups (Under-19-20) generally performed better in physical tests. Positional differences are associated with match demands where forwards are exposed to less running but a greater number of collisions. Practitioners can use the results from this review to evaluate the physical qualities of age grade rugby union players to enhance training prescription, goal setting and player development. Future research should consider the use of national standardised testing batteries due to the inconsistency in testing methods and small samples limiting the reporting of positional differences.
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Affiliation(s)
- Cameron Owen
- Leeds Beckett University, Carnegie Applied Rugby Research (CARR) centre, Carnegie School of Sport, Leeds, United Kingdom
- Yorkshire Carnegie Rugby Union club, Leeds, United Kingdom
| | - Kevin Till
- Leeds Beckett University, Carnegie Applied Rugby Research (CARR) centre, Carnegie School of Sport, Leeds, United Kingdom
- Leeds Rhinos Rugby League club, Leeds, United Kingdom
| | - Jonathon Weakley
- Leeds Beckett University, Carnegie Applied Rugby Research (CARR) centre, Carnegie School of Sport, Leeds, United Kingdom
- School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Queensland, Australia
| | - Ben Jones
- Leeds Beckett University, Carnegie Applied Rugby Research (CARR) centre, Carnegie School of Sport, Leeds, United Kingdom
- Leeds Rhinos Rugby League club, Leeds, United Kingdom
- England Performance Unit, The Rugby Football League, Leeds, United Kingdom
- School of Science and Technology, University of New England, Armidale, NSW, Australia
- Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, the University of Cape Town and the Sports Science Institute of South Africa, Cape Town, South Africa
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14
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Scantlebury S, Till K, Sawczuk T, Phibbs P, Jones B. Navigating the Complex Pathway of Youth Athletic Development: Challenges and Solutions to Managing the Training Load of Youth Team Sport Athletes. Strength Cond J 2020. [DOI: 10.1519/ssc.0000000000000564] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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15
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Till K, Baker J. Challenges and [Possible] Solutions to Optimizing Talent Identification and Development in Sport. Front Psychol 2020; 11:664. [PMID: 32351427 PMCID: PMC7174680 DOI: 10.3389/fpsyg.2020.00664] [Citation(s) in RCA: 69] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 03/19/2020] [Indexed: 11/13/2022] Open
Abstract
The modern-day landscape of Olympic and Professional sport is arguably more competitive than ever. One consequence of this is the increased focus on identifying and developing early athletic talent. In this paper, we highlight key challenges associated with talent (athlete) identification and development and propose possible solutions that could be considered by research and practice. The first challenge focuses on clarifying the purposes of talent identification initiatives such as defining what talent is and how its meaning might evolve over time. Challenge two centers on ways to best identify, select and develop talent, including issues with different approaches to identification, the need to understand the impact of development and the need to have appropriate resourcing in the system to support continued development of knowledge. Finally, we discuss two challenges in relation to the 'healthiness' of talent identification and development. The first examines whether a talent identification and development system is 'healthy' for athletes while the second focuses on how sport stakeholders could discourage the apparent trend toward early specialization in youth sport settings. Whilst this paper discusses the research in relation to these challenges, we propose multiple possible solutions that researchers and practitioners could consider for optimizing their approach to talent identification and development. In summary, talent is a complex and largely misunderstood phenomenon lacking robust research evidence, and given concerns that it is potentially unhealthy, talent identification and selection at younger ages is not recommended.
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Affiliation(s)
- Kevin Till
- Carnegie Applied Rugby Research (CARR) Centre, Carnegie School of Sport, Leeds Beckett University, Leeds, United Kingdom
| | - Joseph Baker
- School of Kinesiology and Health Science, York University, Toronto, ON, Canada
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16
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O'Keeffe S, O'Connor S, Ní Chéilleachair N. Are internal load measures associated with injuries in male adolescent Gaelic football players? Eur J Sport Sci 2020; 20:249-260. [PMID: 31179835 DOI: 10.1080/17461391.2019.1621950] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
This study aimed to examine internal loads in male adolescent Gaelic footballers and their association with musculoskeletal injury. Written training diaries were completed by 97 male adolescent Gaelic footballers weekly and injuries, defined as any injury sustained during training or competition causing restricted performance or time lost from play, were assessed by a Certified Athletic Therapist. Daily load was determined for each player (session rating of perceived exertion by session duration) and summed to give weekly load. Univariate and multiple logistic regressions were conducted to determine the association with injury. Twenty-two injuries were recorded with match injuries significantly more common than training injuries. Periodic variations in weekly load and injuries were evident throughout the season. Univariate analysis identified weekly load (OR = 2.75; 95%CI = 1.00-7.59), monotony (OR = 4.17; 95%CI = 1.48-11.72) and absolute change in load (OR = 3.27; 95%CI = 1.15-9.32) greater than the team average were significant injury risk factors. Multiple logistic regression with 2-weekly and 3-weekly cumulative loads, absolute change, monotony, strain, ACWR and age as independent variables identified internal load measures (monotony, strain and absolute change) were associated with injury with high specificity (96.0%) but low sensitivity (25.0%). The findings highlight the need to monitor team and individual loads to avoid sudden week-to-week changes or excessive weekly loads. Open communication between players, parents, coaches and sports medicine clinicians enables effective load monitoring that can reduce injury risk and may subsequently minimise dropout, improve team success and overall sport enjoyment and promote life-long sports participation.
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Affiliation(s)
- Sinéad O'Keeffe
- Department of Sport and Health Science, Athlone Institute of Technology, Athlone, Ireland
| | - Siobhán O'Connor
- School of Health and Human Performance, Dublin City University, Dublin, Ireland
| | - Niamh Ní Chéilleachair
- Department of Sport and Health Science, Athlone Institute of Technology, Athlone, Ireland
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17
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Till K, Weakley J, Read DB, Phibbs P, Darrall-Jones J, Roe G, Chantler S, Mellalieu S, Hislop M, Stokes K, Rock A, Jones B. Applied Sport Science for Male Age-Grade Rugby Union in England. SPORTS MEDICINE-OPEN 2020; 6:14. [PMID: 32086645 PMCID: PMC7035403 DOI: 10.1186/s40798-020-0236-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 01/13/2020] [Indexed: 11/10/2022]
Abstract
Rugby union (RU) is a skill-collision team sport played at junior and senior levels worldwide. Within England, age-grade rugby governs the participation and talent development of youth players. The RU player development pathway has recently been questioned, regarding player performance and well-being, which sport science research can address. The purpose of this review was to summarise and critically appraise the literature in relation to the applied sport science of male age-grade RU players in England focussing upon (1) match-play characteristics, (2) training exposures, (3) physical qualities, (4) fatigue and recovery, (5) nutrition, (6) psychological challenges and development, and (7) injury. Current research evidence suggests that age, playing level and position influence the match-play characteristics of age-grade RU. Training exposures of players are described as 'organised chaos' due to the multiple environments and stakeholders involved in coordinating training schedules. Fatigue is apparent up to 72 h post match-play. Well-developed physical qualities are important for player development and injury risk reduction. The nutritional requirements are high due to the energetic costs of collisions. Concerns around the psychological characteristics have also been identified (e.g. perfectionism). Injury risk is an important consideration with prevention strategies available. This review highlights the important multi-disciplinary aspects of sport science for developing age-grade RU players for continued participation and player development. The review describes where some current practices may not be optimal, provides a framework to assist practitioners to effectively prepare age-grade players for the holistic demands of youth RU and considers areas for future research.
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Affiliation(s)
- Kevin Till
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, West Yorkshire, UK. .,Leeds Rhinos RLFC, Leeds, UK. .,Yorkshire Carnegie RUFC, Leeds, UK.
| | - Jonathon Weakley
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, West Yorkshire, UK.,School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, Australia
| | - Dale B Read
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, West Yorkshire, UK
| | - Padraic Phibbs
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, West Yorkshire, UK.,Leinster Rugby, Belfield, Dublin, Republic of Ireland
| | - Josh Darrall-Jones
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, West Yorkshire, UK.,Bath RUFC, Bath, UK
| | - Greg Roe
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, West Yorkshire, UK.,Bath RUFC, Bath, UK
| | - Sarah Chantler
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, West Yorkshire, UK.,Yorkshire Carnegie RUFC, Leeds, UK
| | | | | | - Keith Stokes
- University of Bath, Bath, UK.,Rugby Football Union, London, UK
| | | | - Ben Jones
- Carnegie Applied Rugby Research (CARR) Centre, Institute for Sport, Physical Activity and Leisure, Leeds Beckett University, Leeds, West Yorkshire, UK.,Leeds Rhinos RLFC, Leeds, UK.,Yorkshire Carnegie RUFC, Leeds, UK.,England Performance Unit, Rugby Football League, Red Hall, Leeds, UK.,School of Science and Technology, University of New England, Armidale, NSW, Australia.,Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, The University of Cape Town and the Sports Science Institute of South Africa, Cape Town, South Africa
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18
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Kölling S, Ferrauti A, Meyer T, Pfeiffer M, Kellmann M. Modification and Applicability of Questionnaires to Assess the Recovery-Stress State Among Adolescent and Child Athletes. Front Physiol 2019; 10:1414. [PMID: 31824332 PMCID: PMC6882283 DOI: 10.3389/fphys.2019.01414] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2018] [Accepted: 10/31/2019] [Indexed: 11/13/2022] Open
Abstract
Despite the general consensus regarding the implementation of self-report measures in the training monitoring, there is a lack of research about their applicability and comprehensibility among developing athletes. However, this target group needs special considerations to manage the increasing training demands while maintaining health and performance. This study deals with challenges of applying recovery-stress questionnaires which were validated with adult populations among developing athletes and presents a possible approach to enhance their applicability. In two phases, the Acute Recovery and Stress Scale (ARSS), a 32-adjective list covering eight scales, and the 8-item derived version, the Short Recovery and Stress Scale (SRSS) were answered by 1052 athletes between 10 and 16 years. Phase 1 included 302 14- to 16-year-old athletes who used the original questionnaires with the additional option to mark "I don't understand," while modified versions with additional explanations (phase 2) were applied to 438 adolescents (14.7 ± 0.6 years) and 312 child athletes (11.8 ± 1.1 years). Data of the original validation sample (n = 442) were reanalyzed to examine measurement invariance between adults and adolescents. The results showed comparable psychometric properties to the validation sample (e.g., r it > 0.30) and acceptable fit indices via confirmatory factor analyses (CFA), although more difficulties and limitations were present within the younger groups (e.g., Cronbach's α between 0.50 and 0.87), especially among 10- and 11-year-olds. The original as well as the modified SRSS, on the other hand, indicated good applicability (Cronbach's α between 0.72 and 0.80). Multigroup CFA revealed measurement invariance of the original ARSS among adults and adolescents and of the modified ARSS among adolescents and children. Overall, the present study confirmed the assumption that questionnaires designed by and for adults cannot be directly transferred to younger athletes. The peculiarities and differences in the cognitive and affective development of each age group need to be considered. Future research needs to identify a cut-off age to start the proper use of psychometric tools, especially for state-oriented assessments for routine application in training monitoring. Further modifications and long-term investigations are necessary to implement psychometric monitoring in high-performance environments within youth sport.
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Affiliation(s)
- Sarah Kölling
- Faculty of Sport Science, Ruhr University Bochum, Bochum, Germany
- Department of Sport Science, Stellenbosch University, Stellenbosch, South Africa
| | | | - Tim Meyer
- Institute of Sports and Preventive Medicine, Saarland University, Saarbrücken, Germany
| | - Mark Pfeiffer
- Institute of Sports Science, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Michael Kellmann
- Faculty of Sport Science, Ruhr University Bochum, Bochum, Germany
- School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD, Australia
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19
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Matos S, Clemente FM, Brandão A, Pereira J, Rosemann T, Nikolaidis PT, Knechtle B. Training Load, Aerobic Capacity and Their Relationship With Wellness Status in Recreational Trail Runners. Front Physiol 2019; 10:1189. [PMID: 31607945 PMCID: PMC6755333 DOI: 10.3389/fphys.2019.01189] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 09/02/2019] [Indexed: 01/22/2023] Open
Abstract
The present study aimed to analyze the relationship between variables related to the internal and external loads of training and competition races as well as to athletes’ perceptions of well-being measured throughout the course of a 4-week mesocycle. It also aimed to analyze the intra- and inter-week variations in terms of training load and well-being. The study included the participation of 47 male recreational athletes competing in the national championships of trail running in Portugal (age: 34.85 ± 8.88 years; height: 1.77 ± 0.58 m; body mass: 65.89 ± 3.17 kg). During the 4 weeks, subjective perception of effort (RPE), training time (min), session-RPE (sRPE), distance covered (km), and perception of well-being (Hooper’s questionnaire) were monitored. Weekly RPE was greater in week 1 than in week 3 (p = 0.001; d = 0.563, small effect). Moreover, weekly sRPE was greater in week 1 than in week 2 (p = 0.001; d = 0.441, small effect). The correlations between the well-being variables and RPE that were found to be significant with small magnitudes are those between sleep and RPE (r = 0.287; p = 0.001), stress and RPE (r = 0.217; p = 0.001), fatigue and RPE (r = 0.191; p = 0.001), muscle soreness and RPE (r = 0.240; p = 0.001), and Hooper’s index and RPE (r = 0.279; p = 0.001). Among the variables of the Cooper test and the competition race load, it was verified that VO2max had a negative correlation of an average magnitude with pace (r = −0.396, p = 0.015). The findings of the study suggest that small variations in training stimulus during the period of analysis and increases in maximal oxygen uptake result in improvements in the performance of trail running athletes when considering the running speed in the race.
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Affiliation(s)
- Sérgio Matos
- School of Sport and Leisure, Polytechnic Institute of Viana do Castelo, Melgaço, Portugal.,Unidade de Investigação e Treino em Trabalhos em Alturas e Atividades de Ar Livre, Melgaço, Portugal
| | - Filipe Manuel Clemente
- School of Sport and Leisure, Polytechnic Institute of Viana do Castelo, Melgaço, Portugal.,Instituto de Telecomunicações, Delegação da Covilhã, Covilhã, Portugal
| | - António Brandão
- School of Sport and Leisure, Polytechnic Institute of Viana do Castelo, Melgaço, Portugal.,Unidade de Investigação e Treino em Trabalhos em Alturas e Atividades de Ar Livre, Melgaço, Portugal
| | - Joel Pereira
- School of Sport and Leisure, Polytechnic Institute of Viana do Castelo, Melgaço, Portugal.,Unidade de Investigação e Treino em Trabalhos em Alturas e Atividades de Ar Livre, Melgaço, Portugal
| | - Thomas Rosemann
- Institute of Primary Care, University of Zurich, Zurich, Switzerland
| | | | - Beat Knechtle
- Institute of Primary Care, University of Zurich, Zurich, Switzerland.,Medbase St. Gallen Am Vadianplatz, St. Gallen, Switzerland
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