Skip to main content
placeholder image

Development and evaluation of a simple, multifactorial model based on landing performance to indicate injury risk in surfing athletes

Journal Article


Abstract


  • Purpose: To develop and evaluate a multifactorial model based on landing performance to estimate injury risk for surfing athletes. Methods: Five measures were collected from 78 competitive surfing athletes and used to create a model to serve as a screening tool for landing tasks and potential injury risk. In the second part of the study, the model was evaluated using junior surfing athletes (n = 32) with a longitudinal follow-up of their injuries over 26 wk. Two models were compared based on the collected data, and magnitude-based inferences were applied to determine the likelihood of differences between injured and noninjured groups. Results: The study resulted in a model based on 5 measures—ankle-dorsiflexion range of motion, isometric midthigh-pull lower-body strength, time to stabilization during a drop-and-stick (DS) landing, relative peak force during a DS landing, and frontal-plane DS-landing video analysis—for male and female professional surfers and male and female junior surfers. Evaluation of the model showed that a scaled probability score was more likely to detect injuries in junior surfing athletes and reported a correlation of r = .66, P = .001, with a model of equal variable importance. The injured (n = 7) surfers had a lower probability score (0.18 ± 0.16) than the noninjured group (n = 25, 0.36 ± 0.15), with 98% likelihood, Cohen d = 1.04. Conclusions: The proposed model seems sensitive and easy to implement and interpret. Further research is recommended to show full validity for potential adaptations for other sports.

Authors


  •   Lundgren, Lina (external author)
  •   Tran, Tai (external author)
  •   Nimphius, Sophia (external author)
  •   Raymond, Ellen (external author)
  •   Secomb, Josh (external author)
  •   Farley, Oliver (external author)
  •   Newton, Robert U. (external author)
  •   Steele, Julie R.
  •   Sheppard, Jeremy M. (external author)

Publication Date


  • 2015

Citation


  • Lundgren, L. E., Tran, T. T., Nimphius, S., Raymond, E., Secomb, J. L., Farley, O. R. L., Newton, R. U., Steele, J. R. & Sheppard, J. M. (2015). Development and evaluation of a simple, multifactorial model based on landing performance to indicate injury risk in surfing athletes. International Journal of Sports Physiology and Performance, 10 (8), 1029-1035.

Scopus Eid


  • 2-s2.0-84946838436

Ro Metadata Url


  • http://ro.uow.edu.au/smhpapers/3454

Has Global Citation Frequency


Number Of Pages


  • 6

Start Page


  • 1029

End Page


  • 1035

Volume


  • 10

Issue


  • 8

Place Of Publication


  • United States

Abstract


  • Purpose: To develop and evaluate a multifactorial model based on landing performance to estimate injury risk for surfing athletes. Methods: Five measures were collected from 78 competitive surfing athletes and used to create a model to serve as a screening tool for landing tasks and potential injury risk. In the second part of the study, the model was evaluated using junior surfing athletes (n = 32) with a longitudinal follow-up of their injuries over 26 wk. Two models were compared based on the collected data, and magnitude-based inferences were applied to determine the likelihood of differences between injured and noninjured groups. Results: The study resulted in a model based on 5 measures—ankle-dorsiflexion range of motion, isometric midthigh-pull lower-body strength, time to stabilization during a drop-and-stick (DS) landing, relative peak force during a DS landing, and frontal-plane DS-landing video analysis—for male and female professional surfers and male and female junior surfers. Evaluation of the model showed that a scaled probability score was more likely to detect injuries in junior surfing athletes and reported a correlation of r = .66, P = .001, with a model of equal variable importance. The injured (n = 7) surfers had a lower probability score (0.18 ± 0.16) than the noninjured group (n = 25, 0.36 ± 0.15), with 98% likelihood, Cohen d = 1.04. Conclusions: The proposed model seems sensitive and easy to implement and interpret. Further research is recommended to show full validity for potential adaptations for other sports.

Authors


  •   Lundgren, Lina (external author)
  •   Tran, Tai (external author)
  •   Nimphius, Sophia (external author)
  •   Raymond, Ellen (external author)
  •   Secomb, Josh (external author)
  •   Farley, Oliver (external author)
  •   Newton, Robert U. (external author)
  •   Steele, Julie R.
  •   Sheppard, Jeremy M. (external author)

Publication Date


  • 2015

Citation


  • Lundgren, L. E., Tran, T. T., Nimphius, S., Raymond, E., Secomb, J. L., Farley, O. R. L., Newton, R. U., Steele, J. R. & Sheppard, J. M. (2015). Development and evaluation of a simple, multifactorial model based on landing performance to indicate injury risk in surfing athletes. International Journal of Sports Physiology and Performance, 10 (8), 1029-1035.

Scopus Eid


  • 2-s2.0-84946838436

Ro Metadata Url


  • http://ro.uow.edu.au/smhpapers/3454

Has Global Citation Frequency


Number Of Pages


  • 6

Start Page


  • 1029

End Page


  • 1035

Volume


  • 10

Issue


  • 8

Place Of Publication


  • United States