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Lacey A, Whyte E, Dillon S, O’Connor S, Burke A, Moran K. Definitions and surveillance methods of running-related injuries: A scoping review. Eur J Sport Sci 2024; 24:950-963. [PMID: 38956793 PMCID: PMC11235823 DOI: 10.1002/ejsc.12123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 04/12/2024] [Accepted: 04/30/2024] [Indexed: 07/04/2024]
Abstract
Inconsistent and restricted definitions of injury have contributed to limitations in determining injury rates and identifying risk factors for running-related injuries (RRIs). The aim of this scoping review was to investigate the definitions and surveillance methods of RRIs. A systematic electronic search was performed using PubMed, Scopus, SPORTDiscuss, MEDLINE, and Web of Science databases. Included studies were published in English between January 1980 and June 2023 which investigated RRIs in adult running populations, providing a definition for a general RRI. Results were extracted and collated. 204 articles were included. Three primary criteria were used to define RRIs: physical description, effect on training and medical intervention, while three secondary criteria are also associated with definitions: cause/onset of injury, location, and social consequences. Further descriptors and sub-descriptors form these criteria. The use of Boolean operators resulted in nine variations in definitions. Inconsistency is evident among definitions of RRIs. Injury definitions seem to be important for two main reasons: firstly, determining accurate injury rates, and secondly, in research examining risk factors. For the latter, definitions seem to be very limited, only capturing severe injuries and failing to recognise the full development process of RRIs, precluding the identification of conclusive risk factors. A potential two-approach solution is the initial use of a broad definition acting as a gatekeeper for identifying any potential injury, and follow-up with an extensive surveillance tool to capture the specific consequences of the varying severity of RRIs.
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Affiliation(s)
- Aisling Lacey
- School of Health and Human PerformanceDublin City UniversityDublinIreland
- Insight SFI Research Centre for Data AnalyticsDublinIreland
| | - Enda Whyte
- School of Health and Human PerformanceDublin City UniversityDublinIreland
- Centre for Injury Prevention and PerformanceSchool of Health and Human PerformanceDublin City UniversityDublinIreland
| | - Sarah Dillon
- School of Allied HealthUniversity of LimerickLimerickIreland
| | - Siobhán O’Connor
- School of Health and Human PerformanceDublin City UniversityDublinIreland
- Centre for Injury Prevention and PerformanceSchool of Health and Human PerformanceDublin City UniversityDublinIreland
| | - Aoife Burke
- School of Health and Human PerformanceDublin City UniversityDublinIreland
- Centre for Injury Prevention and PerformanceSchool of Health and Human PerformanceDublin City UniversityDublinIreland
| | - Kieran Moran
- School of Health and Human PerformanceDublin City UniversityDublinIreland
- Insight SFI Research Centre for Data AnalyticsDublinIreland
- Centre for Injury Prevention and PerformanceSchool of Health and Human PerformanceDublin City UniversityDublinIreland
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2
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Kalkhoven JT. Athletic Injury Research: Frameworks, Models and the Need for Causal Knowledge. Sports Med 2024; 54:1121-1137. [PMID: 38507193 PMCID: PMC11127898 DOI: 10.1007/s40279-024-02008-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2024] [Indexed: 03/22/2024]
Abstract
Within applied sports science and medicine research, many challenges hinder the establishment and detailed understanding of athletic injury causality as well as the development and implementation of appropriate athletic injury prevention strategies. Applied research efforts are faced with a lack of variable control, while the capacity to compensate for this lack of control through the application of randomised controlled trials is often confronted by a number of obstacles relating to ethical or practical constraints. Such difficulties have led to a large reliance upon observational research to guide applied practice in this area. However, the reliance upon observational research, in conjunction with the general absence of supporting causal inference tools and structures, has hindered both the acquisition of causal knowledge in relation to athletic injury and the development of appropriate injury prevention strategies. Indeed, much of athletic injury research functions on a (causal) model-blind observational approach primarily driven by the existence and availability of various technologies and data, with little regard for how these technologies and their associated metrics can conceptually relate to athletic injury causality and mechanisms. In this article, a potential solution to these issues is proposed and a new model for investigating athletic injury aetiology and mechanisms, and for developing and evaluating injury prevention strategies, is presented. This solution is centred on the construction and utilisation of various causal diagrams, such as frameworks, models and causal directed acyclic graphs (DAGs), to help guide athletic injury research and prevention efforts. This approach will alleviate many of the challenges facing athletic injury research by facilitating the investigation of specific causal links, mechanisms and assumptions with appropriate scientific methods, aiding the translation of lab-based research into the applied sporting world, and guiding causal inferences from applied research efforts by establishing appropriate supporting causal structures. Further, this approach will also help guide the development and adoption of both relevant metrics (and technologies) and injury prevention strategies, as well as encourage the construction of appropriate theoretical and conceptual foundations prior to the commencement of applied injury research studies. This will help minimise the risk of resource wastage, data fishing, p-hacking and hypothesising after the results are known (HARK-ing) in athletic injury research.
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Affiliation(s)
- Judd T Kalkhoven
- School of Health Sciences, Western Sydney University, Campbelltown, NSW, Australia.
- Human Performance Research Centre, Faculty of Health, University of Technology Sydney, Sydney, NSW, Australia.
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3
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Harøy J, Bache-Mathiesen LK, Andersen TE. Lower HAGOS subscale scores associated with a longer duration of groin problems in football players in the subsequent season. BMJ Open Sport Exerc Med 2024; 10:e001812. [PMID: 38685919 PMCID: PMC11057268 DOI: 10.1136/bmjsem-2023-001812] [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: 04/10/2024] [Indexed: 05/02/2024] Open
Abstract
Introduction Groin injuries represent a considerable problem in football. Although the Adductor Strengthening Programme reduced groin injury risk, players can still experience groin symptoms throughout the season. This study aimed to determine whether preseason Copenhagen Hip and Groin Outcome Score (HAGOS) and a history of previous injury can identify individuals at risk of having a longer duration of groin problems the subsequent season, using an 'any physical complaint' definition of injury. Methods Preseason HAGOS score and weekly groin problems were registered with the Oslo Sports Trauma Research Center Overuse questionnaire during one full season in 632 male semiprofessional adult players. Results The prognostic model showed a decreased number of weeks with groin problems for each increase in HAGOS score for 'groin-related quality of life' (QOL) (IRR=0.99, p=0.003). A 10-point higher 'QOL' score predicted 10% fewer weeks of groin problems. Additionally, previous hip/groin injury was associated with a 74% increase in the number of weeks with symptoms (p<0.001). Conclusion The HAGOS questionnaire applied preseason can detect players at risk of getting more weeks with groin problems the following season. The 'QOL' subscale seems to be the superior subscale for estimating subsequent groin problem duration. While HAGOS appears promising in identifying players at risk, previous groin injury is the most robust indicator, showing a substantial 74% increase in weeks with symptoms.
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Affiliation(s)
- Joar Harøy
- Oslo Sports Trauma Research Center, Department of of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
- The Norwegian Football Association's Sports Medicine Center, Oslo, Norway
| | - Lena Kristin Bache-Mathiesen
- Oslo Sports Trauma Research Center, Department of of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
| | - Thor Einar Andersen
- Oslo Sports Trauma Research Center, Department of of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
- The Norwegian Football Association's Sports Medicine Center, Oslo, Norway
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4
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Farhart P, Beakley D, Diwan A, Duffield R, Rodriguez EP, Chamoli U, Watsford M. Intrinsic variables associated with low back pain and lumbar spine injury in fast bowlers in cricket: a systematic review. BMC Sports Sci Med Rehabil 2023; 15:114. [PMID: 37730648 PMCID: PMC10512628 DOI: 10.1186/s13102-023-00732-1] [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: 02/24/2023] [Accepted: 09/12/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND Lumbar spine injuries in fast bowlers account for the greatest missed playing time in cricket. A range of extrinsic and intrinsic variables are hypothesised to be associated with low back pain and lumbar spine injury in fast bowlers, and an improved understanding of intrinsic variables is necessary as these may alter load tolerance and injury risk associated with fast bowling. This review critically evaluated studies reporting intrinsic variables associated with low back pain and lumbar spine injury in fast bowlers and identified areas for future investigation. METHODS OVID Medline, EMBASE, SPORTDiscus, CINAHL, Web of Science and SCOPUS databases were last searched on 3 June 2022 to identify studies investigating intrinsic variables associated with low back pain and lumbar spine injury in cricket fast bowlers. Terms relevant to cricket fast bowling, and intrinsic variables associated with lumbar spine injury and low back pain in fast bowlers were searched. 1,503 abstracts were screened, and 118 full-text articles were appraised to determine whether they met inclusion criteria. Two authors independently screened search results and assessed risk of bias using a modified version of the Quality in Prognostic Studies tool. RESULTS Twenty-five studies met the inclusion criteria. Overall, no included studies demonstrated a low risk of bias, two studies were identified as moderate risk, and twenty-three studies were identified as high risk. Conflicting results were reported amongst studies investigating associations of fast bowling kinematics and kinetics, trunk and lumbar anatomical features, anthropometric traits, age, and neuromuscular characteristics with low back pain and lumbar spine injury. CONCLUSION Inconsistencies in results may be related to differences in study design, injury definitions, participant characteristics, measurement parameters, and statistical analyses. Low back pain and lumbar spine injury occurrence in fast bowlers remain high, and this may be due to an absence of low bias studies that have informed recommendations for their prevention. Future research should employ clearly defined injury outcomes, analyse continuous datasets, utilise models that better represent lumbar kinematics and kinetics during fast bowling, and better quantify previous injury, lumbar anatomical features and lumbar maturation. TRIAL REGISTRATION Open Science Framework https://doi.org/10.17605/OSF.IO/ERKZ2 .
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Affiliation(s)
- Patrick Farhart
- School of Sport, Exercise and Rehabilitation, Faculty of Health, Human Performance Research Centre, Moore Park Precinct, University of Technology Sydney, Broadway, NSW, 2007, Australia.
- Spine Labs, Discipline of Surgery, St. George and Sutherland Campus of the Clinical School, Faculty of Medicine, University of New South Wales, Kogarah, NSW, 2217, Australia.
- Cricket New South Wales, 161 Silverwater Road, Sydney Olympic Park, Sydney, NSW, 2127, Australia.
- Delhi Capitals, JSW GMR Cricket Private Limited, Bahadurshah Zafar Marg, New Delhi, 110002, India.
| | - David Beakley
- Deakin University, Burwood Highway, Burwood, VIC, 3125, Australia
| | - Ashish Diwan
- Spine Labs, Discipline of Surgery, St. George and Sutherland Campus of the Clinical School, Faculty of Medicine, University of New South Wales, Kogarah, NSW, 2217, Australia
- Spine Service, Department of Orthopaedic Surgery, St. George Hospital Campus, Kogarah, NSW, 2217, Australia
| | - Rob Duffield
- School of Sport, Exercise and Rehabilitation, Faculty of Health, Human Performance Research Centre, Moore Park Precinct, University of Technology Sydney, Broadway, NSW, 2007, Australia
| | - Elizabeth Pickering Rodriguez
- School of Sport, Exercise and Rehabilitation, Faculty of Health, Human Performance Research Centre, Moore Park Precinct, University of Technology Sydney, Broadway, NSW, 2007, Australia
| | - Uphar Chamoli
- Spine Labs, Discipline of Surgery, St. George and Sutherland Campus of the Clinical School, Faculty of Medicine, University of New South Wales, Kogarah, NSW, 2217, Australia
- School of Biomedical Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Broadway, NSW, 2007, Australia
| | - Mark Watsford
- School of Sport, Exercise and Rehabilitation, Faculty of Health, Human Performance Research Centre, Moore Park Precinct, University of Technology Sydney, Broadway, NSW, 2007, Australia
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Losciale JM, Bullock GS, Collins GS, Arundale AJH, Hughes T, Arden NK, Whittaker JL. Description, Prediction, and Causation in Sport and Exercise Medicine Research: Resolving the Confusion to Improve Research Quality and Patient Outcomes. J Orthop Sports Phys Ther 2023; 53:381–387. [PMID: 37125681 DOI: 10.2519/jospt.2023.11773] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
SYNOPSIS: Researchers often assign a label (such as a risk factor or predictor) to a characteristic that is statistically associated with an outcome (such as future injury). Labeling signifies that the characteristic has an established clinical value. More often than not, these labels are assigned prematurely and haphazardly. The rampant practice conflates research goals, the ultimate clinical value of the findings, and many risk factors/predictors that may not warrant the label. To address these issues and improve injury prevention research, we (1) outline the problem; (2) clarify the key differences between the research goals of description, causation, and prediction/prognosis (along with labeling conventions); (3) differentiate the clinical implications for each label; and (4) frame an appropriate scientific process to follow before applying a label. J Orthop Sports Phys Ther 2023;53(7):1-7. Epub: 26 April 2023. doi:10.2519/jospt.2023.11773.
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6
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Liu T. IMPACT OF POSTURE AND RECOVERY METHODS ON SPORTS INJURIES. REV BRAS MED ESPORTE 2022. [DOI: 10.1590/1517-8692202228062022_0059] [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 Exercise methods with incorrect posture or inadequate repetitive movements may cause irreversible long-term body damage. There is a growing interest in ergonomics in martial arts, but taekwondo lacks studies. Objective Evaluate the postural ergonomics impact on injuries and rehabilitation in taekwondo athletes. Methods 13 taekwondo team members from a sports academy had their posture and injury characteristics evaluated. Research methods, experimental and mathematical statistics investigated the athletes’ postural and body diagnosis, confronting the information with their injury history, pain, and injury duration. Results Nine athletes suffered injuries and pain in the pelvic girdle and ankle joints; the odds are 69.23%, pelvic girdle and ankle joints have the highest frequency of injuries, followed by knee injuries (46.15%), and foot joints (30.77%). Injuries to the thigh, wrist, and shoulder joints were detected in 23.08% of athletes. Conclusions The results of this study indicate postural dysfunctions can be corrected with motor function evaluation and early rehabilitation based on ergonomic sports posture. Evidence Level II; Therapeutic Studies - Investigating the result.
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Affiliation(s)
- Tao Liu
- Hanjiang Normal University, China
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7
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Zhao J. Application of MRI in the Prevention of Sports Injuries in Physical Education Teaching. SCANNING 2022; 2022:7738233. [PMID: 36105554 PMCID: PMC9444470 DOI: 10.1155/2022/7738233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/12/2022] [Accepted: 08/17/2022] [Indexed: 05/25/2023]
Abstract
In order to explore the situation of ankle sports injury in physical education, the author proposed the application method of MRI in sports injury prevention in physical education. In a retrospective analysis of 28 patients with clinically diagnosed ankle injuries, taking ankle arthroscopy/incision as the standard, the sensitivity and diagnostic value of MRI examination for ankle sports injury were analyzed statistically. The result shows that 6 cases of ankle fracture were correctly diagnosed by MRI, and the diagnostic sensitivity for bone marrow contusion and edema was 100%. Among the 19 cases of clinically diagnosed ankle ligament injury, 16 cases were diagnosed by MRI, and the overall sensitivity was 84%. Of the 8 cases of calcaneofibular ligament injury, 6 cases were correctly diagnosed by MRI, with a sensitivity of 75%. Conclusion. 3.0 T MRI examination has high sensitivity for ligament, tendon, and cartilage injury, which can well show ankle joint injury and provide an objective basis for early clinical treatment and rehabilitation.
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Affiliation(s)
- Jing Zhao
- Department of Public Physical Education, Taiyuan University, Shanxi, China 030032
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8
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Sá K, Costa e Silva A, Gorla J, Silva A, Magno e Silva M. Injuries in Wheelchair Basketball Players: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5869. [PMID: 35627406 PMCID: PMC9141608 DOI: 10.3390/ijerph19105869] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 05/06/2022] [Accepted: 05/07/2022] [Indexed: 12/04/2022]
Abstract
BACKGROUND Sports injuries have physical and psychological effects that negatively affect sports performance. Although there are data available on sports injuries in wheelchair basketball, some aspects need to be clarified, such as the location, mechanisms and risk factors for injury, which are not well described due to variations and/or a lack of definition of injury. The aim of this study was to determine epidemiological information, primary injury characteristics and affected body regions in wheelchair basketball players; Methods: The PubMed, Science Direct, Scopus, Web of Science and Google Scholar databases were used; Results: eight articles were included in this review. The shoulder was the body region most affected (N = 60; 22.1%). When divided by body segments, the upper limbs were the most affected (N = 128; 47.2%), followed by the head and/or face (N = 53; 19.5%), trunk (included spine and ribs) (N = 48; 17.8%) and lower limbs (N = 42; 15.5%); Conclusions: wheelchair basketball players suffer a large number of injuries with different characteristics that are mainly linked to biomechanics and sport. These results can be used to guide coaches in structuring training to minimize recurring injuries, in addition to assisting in the organization of medical teams in competitions.
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Affiliation(s)
- Karina Sá
- Faculty of Physical Education, State University of Campinas, Campinas 13083-851, Brazil;
| | - Anselmo Costa e Silva
- Graduate Program in Human Movement Sciences, Federal University of Pará, Belém 66075-110, Brazil;
| | - José Gorla
- Faculty of Physical Education, State University of Campinas, Campinas 13083-851, Brazil;
| | - Andressa Silva
- School Physical Education, Physical Therapy and Occupational Therapy, Federal University of Minas Gerais, Belo Horizonte 31270-901, Brazil;
| | - Marília Magno e Silva
- Faculty of Physical Therapy and Occupational Therapy, Federal University of Pará, Belém 66075-110, Brazil;
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9
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Ardern CL, Büttner F, Andrade R, Weir A, Ashe MC, Holden S, Impellizzeri FM, Delahunt E, Dijkstra HP, Mathieson S, Rathleff MS, Reurink G, Sherrington C, Stamatakis E, Vicenzino B, Whittaker JL, Wright AA, Clarke M, Moher D, Page MJ, Khan KM, Winters M. Implementing the 27 PRISMA 2020 Statement items for systematic reviews in the sport and exercise medicine, musculoskeletal rehabilitation and sports science fields: the PERSiST (implementing Prisma in Exercise, Rehabilitation, Sport medicine and SporTs science) guidance. Br J Sports Med 2022; 56:175-195. [PMID: 34625401 PMCID: PMC8862073 DOI: 10.1136/bjsports-2021-103987] [Citation(s) in RCA: 167] [Impact Index Per Article: 55.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/17/2021] [Indexed: 02/01/2023]
Abstract
Poor reporting of medical and healthcare systematic reviews is a problem from which the sports and exercise medicine, musculoskeletal rehabilitation, and sports science fields are not immune. Transparent, accurate and comprehensive systematic review reporting helps researchers replicate methods, readers understand what was done and why, and clinicians and policy-makers implement results in practice. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement and its accompanying Explanation and Elaboration document provide general reporting examples for systematic reviews of healthcare interventions. However, implementation guidance for sport and exercise medicine, musculoskeletal rehabilitation, and sports science does not exist. The Prisma in Exercise, Rehabilitation, Sport medicine and SporTs science (PERSiST) guidance attempts to address this problem. Nineteen content experts collaborated with three methods experts to identify examples of exemplary reporting in systematic reviews in sport and exercise medicine (including physical activity), musculoskeletal rehabilitation (including physiotherapy), and sports science, for each of the PRISMA 2020 Statement items. PERSiST aims to help: (1) systematic reviewers improve the transparency and reporting of systematic reviews and (2) journal editors and peer reviewers make informed decisions about systematic review reporting quality.
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Affiliation(s)
- Clare L Ardern
- Musculoskeletal & Sports Injury Epidemiology Center, Sophiahemmet University, Stockholm, Sweden
- Sport and Exercise Medicine Research Centre, La Trobe University, Melbourne, Victoria, Australia
- Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada
| | - Fionn Büttner
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Renato Andrade
- Clinical Research, Clínica do Dragão, Espregueira-Mendes Sports Centre - FIFA Medical Centre of Excellence, Porto, Portugal
- Porto Biomechanics Laboratory (LABIOMEP), Faculty of Sports, University of Porto, Porto, Portugal
| | - Adam Weir
- Aspetar Sports Groin Pain Centre, Aspetar Orthopaedic & Sports Medicine Hospital, Doha, Qatar
- Department of Orthopaedics and Sports Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Sport Medicine and Exercise Clinic Haarlem (SBK), Haarlem, The Netherlands
| | - Maureen C Ashe
- Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Hip Health and Mobility, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sinead Holden
- SMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
- Center for General Practice, Aalborg University, Aalborg, Denmark
| | - Franco M Impellizzeri
- Faculty of Health, University of Technology Sydney, Sydney, New South Wales, Australia
| | - Eamonn Delahunt
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - H Paul Dijkstra
- Sports Medicine, Aspetar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
- Department for Continuing Education, University of Oxford, Oxford, UK
| | - Stephanie Mathieson
- Institute for Musculoskeletal Health, Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Michael Skovdal Rathleff
- SMI, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
- Center for General Practice, Aalborg University, Aalborg, Denmark
| | - Guus Reurink
- Academic Center for Evidence Based Sports Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Catherine Sherrington
- Institute for Musculoskeletal Health, Sydney School of Public Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Emmanuel Stamatakis
- Charles Perkins Centre, School of Health Sciences, University of Sydney, Sydney, New South Wales, Australia
| | - Bill Vicenzino
- University of Queensland School of Health and Rehabilitation Sciences: Physiotherapy, The University of Queensland, Brisbane, Queensland, Australia
| | - Jackie L Whittaker
- Department of Physical Therapy, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
- Arthritis Research Canada, Vancouver, British Columbia, Canada
| | - Alexis A Wright
- Doctor of Physical Therapy Program, Tufts University School of Medicine, Tufts University, Boston, Massachusetts, USA
| | - Mike Clarke
- School of Medicine, Dentistry and Biomedical Sciences, Centre for Public Health, Queen's University, Belfast, UK
| | - David Moher
- Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Matthew J Page
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Karim M Khan
- Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada
- School of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada
- Canadian Institutes of Health Research-Institute of Musculoskeletal Health, Vancouver, British Columbia, Canada
| | - Marinus Winters
- Center for General Practice, Aalborg University, Aalborg, Denmark
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10
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Bache-Mathiesen LK, Andersen TE, Clarsen B, Fagerland MW. Handling and reporting missing data in training load and injury risk research. SCI MED FOOTBALL 2021; 6:452-464. [DOI: 10.1080/24733938.2021.1998587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- L. K. Bache-Mathiesen
- Oslo Sports Trauma Research Centre, Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
| | - Thor Einar Andersen
- Oslo Sports Trauma Research Centre, Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
| | - Benjamin Clarsen
- Oslo Sports Trauma Research Centre, Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
- Centre for Disease Burden, Norwegian Institute of Public Health, Bergen, Norway
| | - Morten Wang Fagerland
- Oslo Sports Trauma Research Centre, Department of Sports Medicine, Norwegian School of Sports Sciences, Oslo, Norway
- Oslo Centre for Biostatistics and Epidemiology, Research Support Services, Oslo University Hospital, Oslo, Norway
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11
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MacMillan C, Olivier B, Benjamin-Damons N. Sport Science Lab® Screening Protocol: The association between physical fitness Parameters and injury among elite rugby players. Phys Ther Sport 2021; 52:272-279. [PMID: 34695773 DOI: 10.1016/j.ptsp.2021.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 10/01/2021] [Accepted: 10/04/2021] [Indexed: 12/19/2022]
Abstract
CONTEXT AND OBJECTIVES The Sport Science Lab® (SSL®) screening protocol includes novel methods of assessing flexibility, strength, plyometric ability and rugby specific fitness. The objective of this study was to investigate the association between these tests and injury among professional rugby players. DESIGN Prospective cohort study. SETTING Fitness facilities of participating teams. PARTICIPANTS Thirty-nine injury-free, elite, adult (>18 years), male rugby players. MAIN OUTCOME MEASURES The test battery consisted of eleven flexibility-, nine strength- and six plyometric tests and a rugby specific fitness test (RSFT). Injuries were recorded weekly during the 2019 rugby season. Associations between test results and injuries were analysed utilising suitable tests of association i.e., sensitivity, specificity, false positive rate, false negative rate, positive predictive value and negative predictive value and odds ratios (OR) (with confidence intervals (CI)). Bivariate correlations and logistic regression were performed to assess the relationship of the predictor variables to the outcome. RESULTS Players who achieved the set standard for the RSFT (OR = 3.17; 95% CI = 0.79-12.75), triple horizontal broad jump (OR = 2.40; 95% CI = 0.86-19.61) and lateral depth jumps (OR = 2.40-3.44; 95% CI = 0.53-18.84) were two to three times less likely to sustain an injury during the season. CONCLUSION Players with superior rugby specific fitness and cyclic linear- and lateral plyometric ability, may have a decreased risk of sustaining injuries.
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Affiliation(s)
- Candice MacMillan
- Department of Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa.
| | - Benita Olivier
- Department of Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa.
| | - Natalie Benjamin-Damons
- Department of Physiotherapy, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa.
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12
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Mansournia MA, Collins GS, Nielsen RO, Nazemipour M, Jewell NP, Altman DG, Campbell MJ. A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration. Br J Sports Med 2021; 55:1009-1017. [PMID: 33514558 PMCID: PMC9110112 DOI: 10.1136/bjsports-2020-103652] [Citation(s) in RCA: 92] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/07/2021] [Indexed: 12/23/2022]
Abstract
Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have expert knowledge of statistics or may be unconvinced about the importance of applying correct statistics in medical research. Although there are guidelines on reporting statistics in medical papers, a checklist on the more general and commonly seen aspects of statistics to assess when peer-reviewing an article is needed. In this article, we propose a CHecklist for statistical Assessment of Medical Papers (CHAMP) comprising 30 items related to the design and conduct, data analysis, reporting and presentation, and interpretation of a research paper. While CHAMP is primarily aimed at editors and peer reviewers during the statistical assessment of a medical paper, we believe it will serve as a useful reference to improve authors' and readers' practice in their use of statistics in medical research. We strongly encourage editors and peer reviewers to consult CHAMP when assessing manuscripts for potential publication. Authors also may apply CHAMP to ensure the validity of their statistical approach and reporting of medical research, and readers may consider using CHAMP to enhance their statistical assessment of a paper.
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Affiliation(s)
- Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Gary S Collins
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Rasmus Oestergaard Nielsen
- Department of Public Health, Section for Sports Science, Aarhus University, Aarhus, Denmark
- Research Unit for General Practice, Aarhus, Denmark
| | - Maryam Nazemipour
- Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Nicholas P Jewell
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
- Division of Epidemiology & Biostatistics, School of Public Health, University of California, Berkeley, California, USA
| | - Douglas G Altman
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
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13
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Bache-Mathiesen LK, Andersen TE, Dalen-Lorentsen T, Clarsen B, Fagerland MW. Not straightforward: modelling non-linearity in training load and injury research. BMJ Open Sport Exerc Med 2021; 7:e001119. [PMID: 34422292 PMCID: PMC8351477 DOI: 10.1136/bmjsem-2021-001119] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2021] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVES To determine whether the relationship between training load and injury risk is non-linear and investigate ways of handling non-linearity. METHODS We analysed daily training load and injury data from three cohorts: Norwegian elite U-19 football (n=81, 55% male, mean age 17 years (SD 1)), Norwegian Premier League football (n=36, 100% male, mean age 26 years (SD 4)) and elite youth handball (n=205, 36% male, mean age 17 years (SD 1)). The relationship between session rating of perceived exertion (sRPE) and probability of injury was estimated with restricted cubic splines in mixed-effects logistic regression models. Simulations were carried out to compare the ability of seven methods to model non-linear relationships, using visualisations, root-mean-squared error and coverage of prediction intervals as performance metrics. RESULTS No relationships were identified in the football cohorts; however, a J-shaped relationship was found between sRPE and the probability of injury on the same day for elite youth handball players (p<0.001). In the simulations, the only methods capable of non-linear modelling relationships were the quadratic model, fractional polynomials and restricted cubic splines. CONCLUSION The relationship between training load and injury risk should be assumed to be non-linear. Future research should apply appropriate methods to account for non-linearity, such as fractional polynomials or restricted cubic splines. We propose a guide for which method(s) to use in a range of different situations.
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Affiliation(s)
- Lena Kristin Bache-Mathiesen
- Department of Sports Medicine, Oslo Sports Trauma Research Centre, Norwegian School of Sports Sciences, Oslo, Norway
| | - Thor Einar Andersen
- Department of Sports Medicine, Oslo Sports Trauma Research Centre, Norwegian School of Sports Sciences, Oslo, Norway
| | - Torstein Dalen-Lorentsen
- Department of Sports Medicine, Oslo Sports Trauma Research Centre, Norwegian School of Sports Sciences, Oslo, Norway
| | - Benjamin Clarsen
- Department of Sports Medicine, Oslo Sports Trauma Research Centre, Norwegian School of Sports Sciences, Oslo, Norway
- Centre for Disease Burden, Norwegian Institute of Public Health, Bergen, Norway
| | - Morten Wang Fagerland
- Department of Sports Medicine, Oslo Sports Trauma Research Centre, Norwegian School of Sports Sciences, Oslo, Norway
- Research Support Services, Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
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14
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Khan KM. Deimplementing arthroscopy, improving concussion reporting and celebrating research quality. Br J Sports Med 2020. [DOI: 10.1136/bjsports-2020-103518] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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15
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Limited Support for Trunk and Hip Deficits as Risk Factors for Athletic Knee Injuries: A Systematic Review With Meta-analysis and Best-Evidence Synthesis. J Orthop Sports Phys Ther 2020; 50:476-489. [PMID: 32741330 DOI: 10.2519/jospt.2020.9705] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To determine whether neuromuscular deficits in trunk and hip-related function are risk factors for athletic knee injuries. DESIGN Etiology systematic review with meta-analysis. LITERATURE SEARCH Six online databases (MEDLINE, Web of Science, Embase, CINAHL, Scopus, and SPORTDiscus) were searched up to April 2019. STUDY SELECTION CRITERIA Studies assessing trunk and hip neuromuscular function as risk factors for knee injuries in healthy athletic populations were included. DATA SYNTHESIS Outcomes were synthesized quantitatively using meta-analysis of odds ratios, and qualitatively using best-evidence synthesis. RESULTS Twenty-one studies met the inclusion criteria. There was very low-certainty evidence that greater hip external rotation strength protected against knee injuries (odds ratio = 0.78; 95% confidence interval: 0.70, 0.87; P<.05). There was limited evidence that deficits in trunk proprioception and neuromuscular control, and the combination of excessive knee valgus and ipsilateral trunk angle when landing unilaterally from a jump, may be risk factors for knee injuries. CONCLUSION Most variables of trunk and hip function were not risk factors for injuries. Further research is required to confirm whether hip external rotation strength, trunk proprioception and neuromuscular control, and the combination of knee valgus angle and ipsilateral trunk control are risk factors for future knee injuries. J Orthop Sports Phys Ther 2020;50(9):476-489. Epub 1 Aug 2020. doi:10.2519/jospt.2020.9705.
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Büttner F, Toomey E, McClean S, Roe M, Delahunt E. Are questionable research practices facilitating new discoveries in sport and exercise medicine? The proportion of supported hypotheses is implausibly high. Br J Sports Med 2020; 54:1365-1371. [PMID: 32699001 DOI: 10.1136/bjsports-2019-101863] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/03/2020] [Indexed: 11/03/2022]
Abstract
Questionable research practices (QRPs) are intentional and unintentional practices that can occur when designing, conducting, analysing, and reporting research, producing biased study results. Sport and exercise medicine (SEM) research is vulnerable to the same QRPs that pervade the biomedical and psychological sciences, producing false-positive results and inflated effect sizes. Approximately 90% of biomedical research reports supported study hypotheses, provoking suspicion about the field-wide presence of systematic biases to facilitate study findings that confirm researchers' expectations. In this education review, we introduce three common QRPs (ie, HARKing, P-hacking and Cherry-picking), perform a cross-sectional study to assess the proportion of original SEM research that reports supported study hypotheses, and draw attention to existing solutions and resources to overcome QRPs that manifest in exploratory research. We hypothesised that ≥ 85% of original SEM research studies would report supported study hypotheses. Two independent assessors systematically identified, screened, included, and extracted study data from original research articles published between 1 January 2019 and 31 May 2019 in the British Journal of Sports Medicine, Sports Medicine, the American Journal of Sports Medicine, and the Journal of Orthopaedic & Sports Physical Therapy We extracted data relating to whether studies reported that the primary hypothesis was supported or rejected by the results. Study hypotheses, methodologies, and analysis plans were preregistered at the Open Science Framework. One hundred and twenty-nine original research studies reported at least one study hypothesis, of which 106 (82.2%) reported hypotheses that were supported by study results. Of 106 studies reporting that primary hypotheses were supported by study results, 75 (70.8%) studies reported that the primary hypothesis was fully supported by study results. The primary study hypothesis was partially supported by study results in 28 (26.4%) studies. We detail open science practices and resources that aim to safe-guard against QRPs that bely the credibility and replicability of original research findings.
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Affiliation(s)
- Fionn Büttner
- School of Public Health, Physiotherapy and Sports Science, University College Dublin-National University of Ireland, Dublin, Ireland
| | - Elaine Toomey
- School of Allied Health, University of Limerick, Limerick, Ireland
| | - Shane McClean
- School of Public Health, Physiotherapy and Sports Science, University College Dublin-National University of Ireland, Dublin, Ireland
| | - Mark Roe
- School of Public Health, Physiotherapy and Sports Science, University College Dublin-National University of Ireland, Dublin, Ireland
| | - Eamonn Delahunt
- School of Public Health, Physiotherapy and Sports Science, University College Dublin-National University of Ireland, Dublin, Ireland.,Institute for Sport and Health, University College Dublin, Dublin, Ireland
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