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The Injury/Illness Performance Project (IIPP): A Novel Epidemiological Approach for Recording the Consequences of Sports Injuries and Illnesses.

Palmer-Green D, Fuller C, Jaques R, Hunter G - J Sports Med (Hindawi Publ Corp) (2013)

Bottom Line: For athlete illnesses (n = 378), the majority (P < 0.01) resulted in time-loss (270) compared with performance-restriction (101) (7 unclassified).Conclusions.Including a performance-restriction classification could provide a deeper understanding of injuries/illnesses and better informed prevention initiatives.

View Article: PubMed Central - PubMed

Affiliation: University of Nottingham, Nottingham, UK.

ABSTRACT
Background. Describing the frequency, severity, and causes of sports injuries and illnesses reliably is important for quantifying the risk to athletes and providing direction for prevention initiatives. Methods. Time-loss and/or medical-attention definitions have long been used in sports injury/illness epidemiology research, but the limitations to these definitions mean that some events are incorrectly classified or omitted completely, where athletes continue to train and compete at high levels but experience restrictions in their performance. Introducing a graded definition of performance-restriction may provide a solution to this issue. Results. Results from the Great Britain injury/illness performance project (IIPP) are presented using a performance-restriction adaptation of the accepted surveillance consensus methodologies. The IIPP involved 322 Olympic athletes (males: 172; female: 150) from 10 Great Britain Olympic sports between September 2009 and August 2012. Of all injuries (n = 565), 216 were classified as causing time-loss, 346 as causing performance-restriction, and 3 were unclassified. For athlete illnesses (n = 378), the majority (P < 0.01) resulted in time-loss (270) compared with performance-restriction (101) (7 unclassified). Conclusions. Successful implementation of prevention strategies relies on the correct characterisation of injury/illness risk factors. Including a performance-restriction classification could provide a deeper understanding of injuries/illnesses and better informed prevention initiatives.

No MeSH data available.


Related in: MedlinePlus

IIPP VAS pain score (at DOI) distribution for time-loss and performance-restriction injuries recorded between 2009 and 2012.
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fig8: IIPP VAS pain score (at DOI) distribution for time-loss and performance-restriction injuries recorded between 2009 and 2012.

Mentions: For all injuries reported in the IIPP study, athletes were asked to rate their pain at the initial date of injury (DOI) using a visual analogue scale (VAS) from 0 (no pain) to 10 (the worst pain). The athlete's pain scores were also recorded at each COS and DOR. All injured athletes reported having some level of pain at DOI (VAS: mean = 6.1; SD 2.1) and 39% some level of pain at DOR (VAS: mean = 1.8; SD 1.0). Figure 8 shows the distribution of pain levels at DOI for time-loss and performance-restriction injuries, with pain scores generally higher for time-loss compared with performance-restriction injuries. With the majority of time-loss injuries reported to be acute in nature and performance-restriction injuries to be overuse, this supports the theory proposed that acute injuries present more pain.


The Injury/Illness Performance Project (IIPP): A Novel Epidemiological Approach for Recording the Consequences of Sports Injuries and Illnesses.

Palmer-Green D, Fuller C, Jaques R, Hunter G - J Sports Med (Hindawi Publ Corp) (2013)

IIPP VAS pain score (at DOI) distribution for time-loss and performance-restriction injuries recorded between 2009 and 2012.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4590896&req=5

fig8: IIPP VAS pain score (at DOI) distribution for time-loss and performance-restriction injuries recorded between 2009 and 2012.
Mentions: For all injuries reported in the IIPP study, athletes were asked to rate their pain at the initial date of injury (DOI) using a visual analogue scale (VAS) from 0 (no pain) to 10 (the worst pain). The athlete's pain scores were also recorded at each COS and DOR. All injured athletes reported having some level of pain at DOI (VAS: mean = 6.1; SD 2.1) and 39% some level of pain at DOR (VAS: mean = 1.8; SD 1.0). Figure 8 shows the distribution of pain levels at DOI for time-loss and performance-restriction injuries, with pain scores generally higher for time-loss compared with performance-restriction injuries. With the majority of time-loss injuries reported to be acute in nature and performance-restriction injuries to be overuse, this supports the theory proposed that acute injuries present more pain.

Bottom Line: For athlete illnesses (n = 378), the majority (P < 0.01) resulted in time-loss (270) compared with performance-restriction (101) (7 unclassified).Conclusions.Including a performance-restriction classification could provide a deeper understanding of injuries/illnesses and better informed prevention initiatives.

View Article: PubMed Central - PubMed

Affiliation: University of Nottingham, Nottingham, UK.

ABSTRACT
Background. Describing the frequency, severity, and causes of sports injuries and illnesses reliably is important for quantifying the risk to athletes and providing direction for prevention initiatives. Methods. Time-loss and/or medical-attention definitions have long been used in sports injury/illness epidemiology research, but the limitations to these definitions mean that some events are incorrectly classified or omitted completely, where athletes continue to train and compete at high levels but experience restrictions in their performance. Introducing a graded definition of performance-restriction may provide a solution to this issue. Results. Results from the Great Britain injury/illness performance project (IIPP) are presented using a performance-restriction adaptation of the accepted surveillance consensus methodologies. The IIPP involved 322 Olympic athletes (males: 172; female: 150) from 10 Great Britain Olympic sports between September 2009 and August 2012. Of all injuries (n = 565), 216 were classified as causing time-loss, 346 as causing performance-restriction, and 3 were unclassified. For athlete illnesses (n = 378), the majority (P < 0.01) resulted in time-loss (270) compared with performance-restriction (101) (7 unclassified). Conclusions. Successful implementation of prevention strategies relies on the correct characterisation of injury/illness risk factors. Including a performance-restriction classification could provide a deeper understanding of injuries/illnesses and better informed prevention initiatives.

No MeSH data available.


Related in: MedlinePlus