Limits...
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: Results.For athlete illnesses (n = 378), the majority (P < 0.01) resulted in time-loss (270) compared with performance-restriction (101) (7 unclassified).Conclusions.

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

Theoretical model of pain and injury consequence (adapted from Bahr, [20]).
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC4590896&req=5

fig4: Theoretical model of pain and injury consequence (adapted from Bahr, [20]).

Mentions: Multiple person-to-person physical and psychological factors and sport-to-sport sociological and environmental factors combine to determine an athlete's threshold and tolerance to pain, [31] and athletes may experience time-loss or restrictions to training/competition at different points along their own pain continuum. Figure 4 is an adaptation to the pain model presented by Bahr [20] that shows injury pain thresholds for an athlete moving from medical-attention through performance-restriction, complete time-loss, and recovery.


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)

Theoretical model of pain and injury consequence (adapted from Bahr, [20]).
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig4: Theoretical model of pain and injury consequence (adapted from Bahr, [20]).
Mentions: Multiple person-to-person physical and psychological factors and sport-to-sport sociological and environmental factors combine to determine an athlete's threshold and tolerance to pain, [31] and athletes may experience time-loss or restrictions to training/competition at different points along their own pain continuum. Figure 4 is an adaptation to the pain model presented by Bahr [20] that shows injury pain thresholds for an athlete moving from medical-attention through performance-restriction, complete time-loss, and recovery.

Bottom Line: Results.For athlete illnesses (n = 378), the majority (P < 0.01) resulted in time-loss (270) compared with performance-restriction (101) (7 unclassified).Conclusions.

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