Benjamin P Raysmith1, Michael K Drew2. 1. Department of Physical Therapies, Australian Institute of Sport, Australia. Electronic address: ben.raysmith@ausport.gov.au. 2. Department of Physical Therapies, Australian Institute of Sport, Australia; Australian Centre for Research into Injury in Sport and its Prevention (ACRISP), Federation University, Australia.
Abstract
OBJECTIVES: To investigate the impact of training modification on achieving performance goals. Previous research demonstrates an inverse relationship between injury burden and success in team sports. It is unknown whether this relationship exists within individual sport such as athletics. DESIGN: A prospective, cohort study (n=33 International Track and Field Athletes; 76 athlete seasons) across five international competition seasons. METHODS: Athlete training status was recorded weekly over a 5-year period. Over the 6-month preparation season, relationships between training weeks completed, the number of injury/illness events and the success or failure of a performance goal at major championships was investigated. Two-by-two table were constructed and attributable risks in the exposed (AFE) calculated. A mixed-model, logistic regression was used to determine the relationship between failure and burden per injury/illness. Receiver Operator Curve (ROC) analysis was performed to ascertain the optimal threshold of training week completion to maximise the chance of success. RESULTS: Likelihood of achieving a performance goal increased by 7-times in those that completed >80% of planned training weeks (AUC, 0.72; 95%CI 0.64-0.81). Training availability accounted for 86% of successful seasons (AFE=0.86, 95%CI, 0.46 to 0.96). The majority of new injuries occurred within the first month of the preparation season (30%) and most illnesses occurred within 2-months of the event (50%). For every modified training week the chance of success significantly reduced (OR=0.74, 95%CI 0.58 to 0.94). CONCLUSIONS: Injuries and illnesses, and their influence on training availability, during preparation are major determinants of an athlete's chance of performance goal success or failure at the international level.
OBJECTIVES: To investigate the impact of training modification on achieving performance goals. Previous research demonstrates an inverse relationship between injury burden and success in team sports. It is unknown whether this relationship exists within individual sport such as athletics. DESIGN: A prospective, cohort study (n=33 International Track and Field Athletes; 76 athlete seasons) across five international competition seasons. METHODS: Athlete training status was recorded weekly over a 5-year period. Over the 6-month preparation season, relationships between training weeks completed, the number of injury/illness events and the success or failure of a performance goal at major championships was investigated. Two-by-two table were constructed and attributable risks in the exposed (AFE) calculated. A mixed-model, logistic regression was used to determine the relationship between failure and burden per injury/illness. Receiver Operator Curve (ROC) analysis was performed to ascertain the optimal threshold of training week completion to maximise the chance of success. RESULTS: Likelihood of achieving a performance goal increased by 7-times in those that completed >80% of planned training weeks (AUC, 0.72; 95%CI 0.64-0.81). Training availability accounted for 86% of successful seasons (AFE=0.86, 95%CI, 0.46 to 0.96). The majority of new injuries occurred within the first month of the preparation season (30%) and most illnesses occurred within 2-months of the event (50%). For every modified training week the chance of success significantly reduced (OR=0.74, 95%CI 0.58 to 0.94). CONCLUSIONS: Injuries and illnesses, and their influence on training availability, during preparation are major determinants of an athlete's chance of performance goal success or failure at the international level.
Authors: Toni Caparrós; Eduard Alentorn-Geli; Gregory D Myer; Lluís Capdevila; Kristian Samuelsson; Bruce Hamilton; Gil Rodas Journal: J Sports Sci Med Date: 2016-08-05 Impact factor: 2.988
Authors: Martin Schwellnus; Torbjørn Soligard; Juan-Manuel Alonso; Roald Bahr; Ben Clarsen; H Paul Dijkstra; Tim J Gabbett; Michael Gleeson; Martin Hägglund; Mark R Hutchinson; Christa Janse Van Rensburg; Romain Meeusen; John W Orchard; Babette M Pluim; Martin Raftery; Richard Budgett; Lars Engebretsen Journal: Br J Sports Med Date: 2016-09 Impact factor: 13.800