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

24. Juni 2026 aktualisiert von: Istanbul Gelisim University

Position-Specific Lower Extremity Performance and Artificial Intelligence-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.

Studienübersicht

Status

Abgeschlossen

Bedingungen

Intervention / Behandlung

Studientyp

Beobachtungs

Einschreibung (Tatsächlich)

81

Kontakte und Standorte

Dieser Abschnitt enthält die Kontaktdaten derjenigen, die die Studie durchführen, und Informationen darüber, wo diese Studie durchgeführt wird.

Studienorte

Teilnahmekriterien

Forscher suchen nach Personen, die einer bestimmten Beschreibung entsprechen, die als Auswahlkriterien bezeichnet werden. Einige Beispiele für diese Kriterien sind der allgemeine Gesundheitszustand einer Person oder frühere Behandlungen.

Zulassungskriterien

Studienberechtigtes Alter

  • Kind
  • Erwachsene

Akzeptiert gesunde Freiwillige

Ja

Probenahmeverfahren

Nicht-Wahrscheinlichkeitsprobe

Studienpopulation

The study population consists of youth male basketball players competing at the developmental level. Participants are recruited from basketball clubs and youth training programs and are classified according to their primary playing position, including point guard, shooting guard/small forward, power forward, and center.

Beschreibung

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.

Studienplan

Dieser Abschnitt enthält Einzelheiten zum Studienplan, einschließlich des Studiendesigns und der Messung der Studieninhalte.

Wie ist die Studie aufgebaut?

Designdetails

Kohorten und Interventionen

Gruppe / Kohorte
Intervention / Behandlung
Point Guard Players
Young male basketball players whose primary playing position is point guard. Participants will undergo lower extremity performance assessments and AI-based injury risk analysis.
Diagnosetest: Lower Extremity Performance Assessment
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.
Shooting Guard / Small Forward Players
Young male basketball players whose primary playing position is shooting guard or small forward. Participants will undergo lower extremity performance assessments and AI-based injury risk analysi
Diagnosetest: Lower Extremity Performance Assessment
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.
Power Forward Players
Young male basketball players whose primary playing position is power forward. Participants will undergo lower extremity performance assessments and AI-based injury risk analysis.
Diagnosetest: Lower Extremity Performance Assessment
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.
Center Players
Young male basketball players whose primary playing position is center. Participants will undergo lower extremity performance assessments and AI-based injury risk analysis.
Diagnosetest: Lower Extremity Performance Assessment
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.

Was misst die Studie?

Primäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Countermovement Jump Height
Zeitfenster: Baseline assessment (single session)
Vertical jump height measured during the countermovement jump (CMJ) test using an artificial intelligence-based performance assessment system.
Baseline assessment (single session)
Reactive Strength Index (RSI)
Zeitfenster: Baseline assessment (single session)
Reactive strength performance calculated from jump height and ground contact time during reactive jump testing.
Baseline assessment (single session)
AI-Based Injury Risk Classification Score
Zeitfenster: 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.
Baseline assessment (single session)

Sekundäre Ergebnismessungen

Ergebnis Maßnahme
Maßnahmenbeschreibung
Zeitfenster
Single-Leg Hop Performance
Zeitfenster: 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.
Baseline assessment (single session)
Time to Complete the T-Test Agility Assessment (seconds)
Zeitfenster: 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.
Baseline assessment (single session)
Limb Symmetry Index Calculated from Single-Leg Countermovement Jump Height (%)
Zeitfenster: 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.
Baseline assessment (single session)
Previous Lower Extremity Injury History
Zeitfenster: At study enrollment
Self-reported history of lower extremity injuries occurring within the previous 12 months.
At study enrollment
Countermovement Jump Height Measured by the D-Wall Athlete Performance System (cm)
Zeitfenster: 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.
Baseline
Acceleration and Deceleration Scores Measured by the D-Wall Athlete Performance System (%)
Zeitfenster: 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.
Baseline

Mitarbeiter und Ermittler

Hier finden Sie Personen und Organisationen, die an dieser Studie beteiligt sind.

Sponsor

Istanbul Gelisim University

Studienaufzeichnungsdaten

Diese Daten verfolgen den Fortschritt der Übermittlung von Studienaufzeichnungen und zusammenfassenden Ergebnissen an ClinicalTrials.gov. Studienaufzeichnungen und gemeldete Ergebnisse werden von der National Library of Medicine (NLM) überprüft, um sicherzustellen, dass sie bestimmten Qualitätskontrollstandards entsprechen, bevor sie auf der öffentlichen Website veröffentlicht werden.

Haupttermine studieren

Studienbeginn (Tatsächlich)

15. Mai 2026

Primärer Abschluss (Tatsächlich)

22. Mai 2026

Studienabschluss (Tatsächlich)

22. Mai 2026

Studienanmeldedaten

Zuerst eingereicht

18. Juni 2026

Zuerst eingereicht, das die QC-Kriterien erfüllt hat

24. Juni 2026

Zuerst gepostet (Tatsächlich)

30. Juni 2026

Studienaufzeichnungsaktualisierungen

Letztes Update gepostet (Tatsächlich)

30. Juni 2026

Letztes eingereichtes Update, das die QC-Kriterien erfüllt

24. Juni 2026

Zuletzt verifiziert

1. Juni 2026

Mehr Informationen

Begriffe im Zusammenhang mit dieser Studie

Andere Studien-ID-Nummern

  • IGU-SINTECH-BASKET-AI-2026-01

Plan für individuelle Teilnehmerdaten (IPD)

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NEIN

Arzneimittel- und Geräteinformationen, Studienunterlagen

Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt

Nein

Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt

Nein

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