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Completed

NCT Number: NCT07677371

Position-Specific Lower Limb Performance and AI-Based Injury Risk Analysis in Young Male Basketball Players

This observational study aims to evaluate lower extremity performance characteristics in young male basketball players according to their playing positions and to explore injury risk patterns using artificial intelligence (AI)-based analysis. Basketball requires frequent jumping, sprinting, rapid changes of direction, acceleration, deceleration, and single-leg movements, all of which place significant demands on lower extremity function.

Participants will undergo a single assessment session including anthropometric measurements and performance tests such as countermovement jump, reactive strength testing, single-leg performance tests, and agility assessments. Information regarding previous lower extremity injuries, training history, and playing position will also be collected.

The study will compare performance characteristics among different basketball positions, including guards, forwards, and centers. In addition, AI and machine learning techniques will be used to analyze the collected performance data and identify patterns associated with injury risk. The purpose of the AI analysis is not to diagnose injuries but to investigate whether combinations of performance variables can help identify athletes who may demonstrate higher-risk movement or performance profiles.

The findings may contribute to the development of position-specific training strategies, individualized performance monitoring, and evidence-based injury prevention approaches in youth basketball players.

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Key information

Conditions

Basketball Performance Athletic Performance Injury Prevention Lower Extremity Performance Sports Injury Risk Youth Basketball Players

Age range

12 year–18 year

Sex eligibility

Male

Study type

Observational

Primary location

Istanbul Gelisim University

Istanbul, 34290, Turkey (Türkiye)

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Male basketball players aged 12 to 18 years.
  • Registered youth basketball athletes.
  • Participation in regular basketball training for at least 1 year.
  • Participation in basketball training at least 3 times per week.
  • No acute lower extremity injury affecting performance testing within the previous 6 months.
  • Ability to understand and follow testing instructions.
  • Written informed consent provided by a parent or legal guardian and assent provided by the participant.

Exclusion criteria

  • Lower extremity surgery within the previous 6 months.
  • Acute musculoskeletal injury affecting test performance.
  • Neurological, vestibular, or severe orthopedic conditions affecting balance, coordination, or motor performance.
  • Pain, illness, fatigue, or any health condition that could affect performance on the assessment day.
  • Cardiovascular or systemic conditions preventing completion of the testing protocol.
  • Incomplete performance testing data or technically invalid measurements.

Treatment and study plan

Lower Extremity Performance Assessment

Diagnostic Test

Participants will complete lower extremity performance tests including countermovement jump, reactive strength index testing, single-leg performance tests, and agility/change-of-direction assessments. Performance data will be analyzed using artificial intelligence-based methods to explore injury risk patterns.

Primary outcomes

  1. Countermovement Jump Height

    Time frame: Baseline assessment (single session)

    Vertical jump height measured during the countermovement jump (CMJ) test using an artificial intelligence-based performance assessment system.

  2. Reactive Strength Index (RSI)

    Time frame: Baseline assessment (single session)

    Reactive strength performance calculated from jump height and ground contact time during reactive jump testing.

  3. AI-Based Injury Risk Classification Score

    Time frame: Baseline assessment (single session)

    Injury risk profile generated using artificial intelligence and machine learning algorithms based on lower extremity performance variables, asymmetry measures, agility performance, and injury history.

Secondary outcomes

  1. Single-Leg Hop Performance

    Time frame: Baseline assessment (single session)

    Distance and performance outcomes obtained from right and left single-leg hop tests used to evaluate unilateral lower extremity function and limb asymmetry.

  2. Time to Complete the T-Test Agility Assessment (seconds)

    Time frame: Baseline assessment (single session)

    Time required to complete the standardized T-Test agility assessment. Lower completion times indicate superior agility and change-of-direction ability in young basketball players.

  3. Limb Symmetry Index Calculated from Single-Leg Countermovement Jump Height (%)

    Time frame: Baseline assessment (single session)

    Limb Symmetry Index (LSI) calculated as the ratio between dominant and non-dominant lower extremity performance during the single-leg countermovement jump test. Values closer to 100% indicate greater inter-limb symmetry.

  4. Previous Lower Extremity Injury History

    Time frame: At study enrollment

    Self-reported history of lower extremity injuries occurring within the previous 12 months.

  5. Countermovement Jump Height Measured by the D-Wall Athlete Performance System (cm)

    Time frame: Baseline

    Countermovement jump height obtained from the D-Wall Athlete Performance System and compared among point guards, shooting guards/small forwards, power forwards, and centers.

  6. Acceleration and Deceleration Scores Measured by the D-Wall Athlete Performance System (%)

    Time frame: Baseline

    Acceleration and deceleration performance scores generated by the D-Wall Athlete Performance System during athletic performance testing. These scores quantify the athlete's ability to rapidly increase and decrease movement velocity.

Sponsors and collaborators

Lead sponsor

Istanbul Gelisim University

Other

Registry information

Official study title

Position-Specific Lower Extremity Performance and Artificial Intelligence-Based Injury Risk Analysis in Young Male Basketball Players

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Jun 30, 2026
Registry last updated
Jun 30, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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