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Analysis of Injury Risk Factors in Elite Athletes

Analysis of Injury Risk Factors in Elite Athletes. A Cross-sectional Cohort Study.

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06906666
Enrollment
81
Registered
2025-04-02
Start date
2025-03-31
Completion date
2025-05-15
Last updated
2026-02-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Athletic Injuries

Keywords

Muscle Injury, Athletics, Risk, Secondary Prevention, Physiotherapy

Brief summary

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

Interventions

OTHERAthletes 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.

Sponsors

University of Oviedo
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to 35 Years
Healthy volunteers
Yes

Inclusion criteria

* Elite federated athletes * Who have not undergone previous musculoskeletal surgery in the seasons under study * Who were federated at least one year before the study period * Sign the informed consent document.

Exclusion criteria

* Athletes who have not participated in competition, during the study seasons, for a period of more than 6 months due to a musculoskeletal injury

Design outcomes

Primary

MeasureTime frameDescription
Measurement of number of lower limb tendon injuriesScreening visitThe primary variable will be the number of lower limb tendon injuries in the last three seasons

Secondary

MeasureTime frameDescription
Measurement of ageScreening visitThe measurement of age (measured in completed years) will be a secondary variable.
Measurement of the weekly training loadScreening visitThe measurement of the weekly training load (measured in minutes) will be a secondary variable.
Measurement of the type of footwearScreening visitThe 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.
Measurement of the type of dietScreening visitThe 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.
Measurement of the practice of another physical activityScreening visitThe evaluation of the practice of another physical activity on a regular basis will be a secondary variable.

Countries

Spain

Contacts

STUDY_DIRECTORRubén Cuesta-Barriuso

Universidad de Oviedo

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 11, 2026