Position-Specific Lower Limb Performance and AI-Based Injury Risk Analysis in Young Male Basketball Players
24. juni 2026 oppdatert av: 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.
Studieoversikt
Status
Fullført
Forhold
Intervensjon / Behandling
Studietype
Observasjonsmessig
Registrering (Faktiske)
81
Kontakter og plasseringer
Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.
Studiesteder
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-
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Istanbul, Tyrkia (Türkiye), 34290
- Istanbul Gelisim University
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Deltakelseskriterier
Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Barn
- Voksen
Tar imot friske frivillige
Ja
Prøvetakingsmetode
Ikke-sannsynlighetsprøve
Studiepopulasjon
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.
Beskrivelse
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.
Studieplan
Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.
Hvordan er studiet utformet?
Designdetaljer
Kohorter og intervensjoner
Gruppe / Kohort |
Intervensjon / Behandling |
|---|---|
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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.
|
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
|
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.
|
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.
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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.
|
Hva måler studien?
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
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Countermovement Jump Height
Tidsramme: 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)
Tidsramme: Baseline assessment (single session)
|
Reactive strength performance calculated from jump height and ground contact time during reactive jump testing.
|
Baseline assessment (single session)
|
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AI-Based Injury Risk Classification Score
Tidsramme: 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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Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
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Single-Leg Hop Performance
Tidsramme: 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)
Tidsramme: 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 (%)
Tidsramme: 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
Tidsramme: 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)
Tidsramme: 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 (%)
Tidsramme: 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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Samarbeidspartnere og etterforskere
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Sponsor
Studierekorddatoer
Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.
Studer hoveddatoer
Studiestart (Faktiske)
15. mai 2026
Primær fullføring (Faktiske)
22. mai 2026
Studiet fullført (Faktiske)
22. mai 2026
Datoer for studieregistrering
Først innsendt
18. juni 2026
Først innsendt som oppfylte QC-kriteriene
24. juni 2026
Først lagt ut (Faktiske)
30. juni 2026
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
30. juni 2026
Siste oppdatering sendt inn som oppfylte QC-kriteriene
24. juni 2026
Sist bekreftet
1. juni 2026
Mer informasjon
Begreper knyttet til denne studien
Andre studie-ID-numre
- IGU-SINTECH-BASKET-AI-2026-01
Plan for individuelle deltakerdata (IPD)
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NEI
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