An observational study in Athletic Injuries, sponsored by University of Oviedo. Completed at 1 site in Spain. Open to participants aged 18 Years to 35 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-02-10.
Sponsored by University of Oviedo · Observational
Background information. The different disciplines of athletics place high physical demands on athletes. These different categories of running vary in terms of physical effort and duration, generating different levels of risk of injury. The description of the main injuries that affect elite athletes in the different athletics disciplines, as well as the identification of the specific risk factors of each discipline, will allow the identification of preventive measures to be implemented.
Objective. To identify the risk factors for tendon injury in professional long- and middle-distance athletes, according to the type of event, and to identify the best predictive model for tendon injuries based on anthropometric and athletic variables.
Method. Ambispective cohort study. 81 elite athletes will be recruited. The primary variable will be the number of tendon injuries in the last three seasons. The secondary and modifying variables will be: age (in completed years), weekly training load (in minutes), type of footwear (sneakers without carbon plate, sneakers with carbon plate, spiked sneakers without carbon plate and spiked sneakers with carbon plate), diet (balanced, high in carbohydrates, high-protein, controlled hypocaloric and adapted to the training cycle) and the regular practice of another physical activity. The possible confounding variables will be the body mass index, the date of tendon injuries in that period and the time spent as a federated athlete (in completed months). The analysis will calculate the risk of injury in these athletes and assess the influence of confounding factors and trend analysis on the primary variable, stratified by possible confounding factors.
Expected results. To calculate the risk of injury in elite athletes based on anthropometric and sociodemographic variables. To identify the predictive model of tendon injuries in elite athletes
270 studies on the registry are indexed under Athletic Injuries; 42 are open to participants now.
This study's enrollment of 81 is below the median of 100 across 100 observational studies indexed under Athletic Injuries.
Browse Athletic Injuries studies →University of Oviedo is the lead sponsor of 47 studies on the registry; 10 are open to participants now.
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Elite athletes
Exclusion Criteria:
Other: Athletes sample
Elite athletes in whom the risk of injury will be calculated and the influence of confounding factors will be assessed through a personal interview.
Also known as: Elite athletes group
Measurement of number of lower limb tendon injuries
The primary variable will be the number of lower limb tendon injuries in the last three seasons
Time frame: Screening visit
Measurement of age
The measurement of age (measured in completed years) will be a secondary variable.
Time frame: Screening visit
Measurement of the weekly training load
The measurement of the weekly training load (measured in minutes) will be a secondary variable.
Time frame: Screening visit
Measurement of the type of footwear
The evaluation of the type of footwear (with the response options: shoe without carbon plate, shoe with carbon plate, spike shoe without carbon plate and spike shoe with carbon plate) will be a secondary variable.
Time frame: Screening visit
Measurement of the type of diet
The evaluation of the type of diet (with the response options: balanced, rich in carbohydrates, rich in proteins and adapted to the training cycle) will be a secondary variable.
Time frame: Screening visit
Measurement of the practice of another physical activity
The evaluation of the practice of another physical activity on a regular basis will be a secondary variable.
Time frame: Screening visit
Measurement of the body mass index
The measurement of the body mass index (measured in kg/m2) will be a possible confounding variable.
Time frame: Screening visit
Measurement of the date of tendon injuries
The date of tendon injuries in that period will be a possible confounding variable.
Time frame: Screening visit
Measurement of federated time
The evaluation of federated time (measured in completed months) will be a possible confounding variable.
Time frame: Screening visit
Plan to share: Undecided
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This study is completed, as verified in Mar 2025. You cannot join it, but the record below documents what was studied.
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University of Oviedo