Position-Specific Lower Limb Performance and AI-Based Injury Risk Analysis in Young Male Basketball Players
24 czerwca 2026 zaktualizowane przez: 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.
Przegląd badań
Status
Zakończony
Warunki
Interwencja / Leczenie
Typ studiów
Obserwacyjny
Zapisy (Rzeczywisty)
81
Kontakty i lokalizacje
Ta sekcja zawiera dane kontaktowe osób prowadzących badanie oraz informacje o tym, gdzie badanie jest przeprowadzane.
Lokalizacje studiów
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Istanbul, Turcja (Türkiye), 34290
- Istanbul Gelisim University
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Kryteria uczestnictwa
Badacze szukają osób, które pasują do określonego opisu, zwanego kryteriami kwalifikacyjnymi. Niektóre przykłady tych kryteriów to ogólny stan zdrowia danej osoby lub wcześniejsze leczenie.
Kryteria kwalifikacji
Wiek uprawniający do nauki
- Dziecko
- Dorosły
Akceptuje zdrowych ochotników
Tak
Metoda próbkowania
Próbka bez prawdopodobieństwa
Badana populacja
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.
Opis
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.
Plan studiów
Ta sekcja zawiera szczegółowe informacje na temat planu badania, w tym sposób zaprojektowania badania i jego pomiary.
Jak projektuje się badanie?
Szczegóły projektu
Kohorty i interwencje
Grupa / Kohorta |
Interwencja / Leczenie |
|---|---|
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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.
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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.
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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
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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.
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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.
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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.
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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.
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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.
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Co mierzy badanie?
Podstawowe miary wyniku
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
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Countermovement Jump Height
Ramy czasowe: Baseline assessment (single session)
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Vertical jump height measured during the countermovement jump (CMJ) test using an artificial intelligence-based performance assessment system.
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Baseline assessment (single session)
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Reactive Strength Index (RSI)
Ramy czasowe: Baseline assessment (single session)
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Reactive strength performance calculated from jump height and ground contact time during reactive jump testing.
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Baseline assessment (single session)
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AI-Based Injury Risk Classification Score
Ramy czasowe: Baseline assessment (single session)
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Injury risk profile generated using artificial intelligence and machine learning algorithms based on lower extremity performance variables, asymmetry measures, agility performance, and injury history.
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Baseline assessment (single session)
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Miary wyników drugorzędnych
Miara wyniku |
Opis środka |
Ramy czasowe |
|---|---|---|
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Single-Leg Hop Performance
Ramy czasowe: Baseline assessment (single session)
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Distance and performance outcomes obtained from right and left single-leg hop tests used to evaluate unilateral lower extremity function and limb asymmetry.
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Baseline assessment (single session)
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Time to Complete the T-Test Agility Assessment (seconds)
Ramy czasowe: Baseline assessment (single session)
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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.
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Baseline assessment (single session)
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Limb Symmetry Index Calculated from Single-Leg Countermovement Jump Height (%)
Ramy czasowe: Baseline assessment (single session)
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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.
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Baseline assessment (single session)
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Previous Lower Extremity Injury History
Ramy czasowe: At study enrollment
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Self-reported history of lower extremity injuries occurring within the previous 12 months.
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At study enrollment
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Countermovement Jump Height Measured by the D-Wall Athlete Performance System (cm)
Ramy czasowe: Baseline
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Countermovement jump height obtained from the D-Wall Athlete Performance System and compared among point guards, shooting guards/small forwards, power forwards, and centers.
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Baseline
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Acceleration and Deceleration Scores Measured by the D-Wall Athlete Performance System (%)
Ramy czasowe: Baseline
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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.
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Baseline
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Współpracownicy i badacze
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Sponsor
Daty zapisu na studia
Daty te śledzą postęp w przesyłaniu rekordów badań i podsumowań wyników do ClinicalTrials.gov. Zapisy badań i zgłoszone wyniki są przeglądane przez National Library of Medicine (NLM), aby upewnić się, że spełniają określone standardy kontroli jakości, zanim zostaną opublikowane na publicznej stronie internetowej.
Główne daty studiów
Rozpoczęcie studiów (Rzeczywisty)
15 maja 2026
Zakończenie podstawowe (Rzeczywisty)
22 maja 2026
Ukończenie studiów (Rzeczywisty)
22 maja 2026
Daty rejestracji na studia
Pierwszy przesłany
18 czerwca 2026
Pierwszy przesłany, który spełnia kryteria kontroli jakości
24 czerwca 2026
Pierwszy wysłany (Rzeczywisty)
30 czerwca 2026
Aktualizacje rekordów badań
Ostatnia wysłana aktualizacja (Rzeczywisty)
30 czerwca 2026
Ostatnia przesłana aktualizacja, która spełniała kryteria kontroli jakości
24 czerwca 2026
Ostatnia weryfikacja
1 czerwca 2026
Więcej informacji
Terminy związane z tym badaniem
Inne numery identyfikacyjne badania
- IGU-SINTECH-BASKET-AI-2026-01
Plan dla danych uczestnika indywidualnego (IPD)
Planujesz udostępniać dane poszczególnych uczestników (IPD)?
NIE
Informacje o lekach i urządzeniach, dokumenty badawcze
Bada produkt leczniczy regulowany przez amerykańską FDA
Nie
Bada produkt urządzenia regulowany przez amerykańską FDA
Nie
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