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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

Examples of injury/illness occurrences collected during the IIPP based on time-loss and performance-restriction status.
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fig6: Examples of injury/illness occurrences collected during the IIPP based on time-loss and performance-restriction status.

Mentions: Figure 6 provides four examples of time lines of injuries/illnesses recorded within the IIPP study. Athlete A sustained a lower leg fracture initially causing complete time-loss from all competition and training, followed by a prolonged period of graduated training back to full fitness. Athlete B had a shoulder tendinopathy injury, which did not result in time-loss but impacted over an extended period of time on aspects of his training until his return to full fitness. Athlete C initially suffered a recurrence of a chronic lumbar spine disc injury causing the athlete to restrict her training; the athlete's condition began improving but there was a sudden exacerbation of the injury causing complete time-loss. As her condition improved once again, this athlete returned to restricted training where loads (intensity and volume) were progressively increased until she returned to full fitness. Athlete D presented a chronic fatigue illness with varying periods of complete time-loss and restricted training before returning to full fitness.


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)

Examples of injury/illness occurrences collected during the IIPP based on time-loss and performance-restriction status.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig6: Examples of injury/illness occurrences collected during the IIPP based on time-loss and performance-restriction status.
Mentions: Figure 6 provides four examples of time lines of injuries/illnesses recorded within the IIPP study. Athlete A sustained a lower leg fracture initially causing complete time-loss from all competition and training, followed by a prolonged period of graduated training back to full fitness. Athlete B had a shoulder tendinopathy injury, which did not result in time-loss but impacted over an extended period of time on aspects of his training until his return to full fitness. Athlete C initially suffered a recurrence of a chronic lumbar spine disc injury causing the athlete to restrict her training; the athlete's condition began improving but there was a sudden exacerbation of the injury causing complete time-loss. As her condition improved once again, this athlete returned to restricted training where loads (intensity and volume) were progressively increased until she returned to full fitness. Athlete D presented a chronic fatigue illness with varying periods of complete time-loss and restricted training before returning to full fitness.

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