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. 2020 Apr;54(7):372-389.
doi: 10.1136/bjsports-2019-101969. Epub 2020 Feb 18.

International Olympic Committee consensus statement: methods for recording and reporting of epidemiological data on injury and illness in sport 2020 (including STROBE Extension for Sport Injury and Illness Surveillance (STROBE-SIIS))

Roald Bahr  1   2 , Ben Clarsen  3   4 , Wayne Derman  5 , Jiri Dvorak  6 , Carolyn A Emery  7   8 , Caroline F Finch  9 , Martin Hägglund  10 , Astrid Junge  11   12 , Simon Kemp  13   14 , Karim M Khan  15   16 , Stephen W Marshall  17 , Willem Meeuwisse  18   19 , Margo Mountjoy  20   21 , John W Orchard  22 , Babette Pluim  23   24   25 , Kenneth L Quarrie  26   27 , Bruce Reider  28 , Martin Schwellnus  29 , Torbjørn Soligard  30   31 , Keith A Stokes  32   33 , Toomas Timpka  34   35 , Evert Verhagen  36 , Abhinav Bindra  37 , Richard Budgett  30 , Lars Engebretsen  3   30 , Uğur Erdener  30 , Karim Chamari  38
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International Olympic Committee consensus statement: methods for recording and reporting of epidemiological data on injury and illness in sport 2020 (including STROBE Extension for Sport Injury and Illness Surveillance (STROBE-SIIS))

Roald Bahr et al. Br J Sports Med. 2020 Apr.

VSports app下载 - Abstract

Injury and illness surveillance, and epidemiological studies, are fundamental elements of concerted efforts to protect the health of the athlete. To encourage consistency in the definitions and methodology used, and to enable data across studies to be compared, research groups have published 11 sport-specific or setting-specific consensus statements on sports injury (and, eventually, illness) epidemiology to date VSports手机版. Our objective was to further strengthen consistency in data collection, injury definitions and research reporting through an updated set of recommendations for sports injury and illness studies, including a new Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist extension. The IOC invited a working group of international experts to review relevant literature and provide recommendations. The procedure included an open online survey, several stages of text drafting and consultation by working groups and a 3-day consensus meeting in October 2019. This statement includes recommendations for data collection and research reporting covering key components: defining and classifying health problems; severity of health problems; capturing and reporting athlete exposure; expressing risk; burden of health problems; study population characteristics and data collection methods. Based on these, we also developed a new reporting guideline as a STROBE Extension-the STROBE Sports Injury and Illness Surveillance (STROBE-SIIS). The IOC encourages ongoing in- and out-of-competition surveillance programmes and studies to describe injury and illness trends and patterns, understand their causes and develop measures to protect the health of the athlete. Implementation of the methods outlined in this statement will advance consistency in data collection and research reporting. .

Keywords: consensus statement; epidemiology; illness; injuries; methodology V体育安卓版. .

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Conflict of interest statement

Competing interests: BR receives payment for duties as Editor-in-Chief of the The Orthopaedic Journal of Sports Medicine VSports最新版本. KK is the Editor-in-Chief of the British Journal of Sports Medicine.

Figures

Figure 1
Figure 1
Distribution of health problems by consequences (not to scale). Adapted from Clarsen and Bahr.
Figure 2
Figure 2
Examples of hypothetical prospectively collected injury/illness data (adapted from Finch and Marshall). The X indicates when a period of surveillance is ended because the athlete left, unrelated to health problems, before the end of the study period; this is called censoring.
Figure 3
Figure 3
Classification tree for subsequent health problems (adapted from Hamilton et al 31). Definitions: (1) index injury (illness)=the first recorded injury (illness), (2) subsequent injury (illness)=any injury (illness) occurring after the index injury (illness) ((i) subsequent injury to a different location than the index injury (subsequent illness involving a different system than the index illness); (ii) subsequent injury to the same location but of a different tissue type than the index injury (subsequent illness of involving the same system but of a different type/other diagnosis) or (iii) subsequent recurrent injury (illness)=subsequent injury to the same site and of the same type as the index injury (subsequent illness involving the same system and type as the index illness). Third, fourth or more health problems should be assessed relative to the initial index health problem and all other previous ones (eg, second and third health problem).
Figure 5
Figure 5
Risk matrix based on the duration of time loss illustrating the burden of match injuries among professional rugby teams in New Zealand between 2005 and 2018 (unpublished data). The darker the yellow, the greater the burden. The curved grey lines represent point with equal burden. The vertical and horizontal error bars represent 95% CIs. See also table 6, illustrating the same dataset in more detail.
Figure 4
Figure 4
Example of severity scores being used to track the severity of three ‘typical’ health problems. Each black dot represents the weekly severity score. The area in orange represents a gradual-onset injury (cumulative severity score (the sum of weekly scores, the area under the curve): 1820), the black area represents a short-duration illness (100) and the dark red area represents an acute medial collateral ligament injury (362).
Figure 6
Figure 6
Risk matrix based on Oslo Sports Trauma Research Center Questionnaire on Health Problems severity scores illustrating the burden of injuries and illnesses affecting elite Norwegian endurance athletes (unpublished data). Error bars represent 95% CIs.
See this image and copyright information in PMC

References

    1. Orchard JW, Ranson C, Olivier B, et al. . International consensus statement on injury surveillance in cricket: a 2016 update. Br J Sports Med 2016;50:1245–51. 10.1136/bjsports-2016-096125 - DOI - PubMed
    1. Fuller CW, Ekstrand J, Junge A, et al. . Consensus statement on injury definitions and data collection procedures in studies of football (soccer) injuries. Clin J Sport Med 2006;16:97–106. 10.1097/00042752-200603000-00003 - DOI - PubMed
    1. Fuller CW, Molloy MG, Bagate C, et al. . Consensus statement on injury definitions and data collection procedures for studies of injuries in rugby Union. Br J Sports Med 2007;41:328–31. 10.1136/bjsm.2006.033282 - DOI - PMC - PubMed
    1. King DA, Gabbett TJ, Gissane C, et al. . Epidemiological studies of injuries in rugby League: suggestions for definitions, data collection and reporting methods. J Sci Med Sport 2009;12:12–19. 10.1016/j.jsams.2007.12.001 - DOI - PubMed
    1. Mountjoy M, Junge A, Alonso JM, et al. . Consensus statement on the methodology of injury and illness surveillance in FINA (aquatic sports): Table 1. Br J Sports Med 2016;50:590–6. 10.1136/bjsports-2015-095686 - DOI (V体育2025版) - PubMed

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