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

2026年6月24日 更新者：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.

研究概览

地位

完全的

条件

干预/治疗

研究类型

观察性的

注册 (实际的)

81

联系人和位置

本节提供了进行研究的人员的详细联系信息，以及有关进行该研究的地点的信息。

学习地点

参与标准

研究人员寻找符合特定描述的人，称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 孩子
  • 成人

接受健康志愿者

是的

取样方法

非概率样本

研究人群

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.

描述

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.

学习计划

本节提供研究计划的详细信息，包括研究的设计方式和研究的衡量标准。

研究是如何设计的？

设计细节

队列和干预

团体/队列
干预/治疗
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.
诊断测试：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
诊断测试：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.
诊断测试：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.
诊断测试：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.

研究衡量的是什么？

主要结果指标

结果测量
措施说明
大体时间
Countermovement Jump Height
大体时间：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)
大体时间：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
大体时间：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)

次要结果测量

结果测量
措施说明
大体时间
Single-Leg Hop Performance
大体时间：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)
大体时间：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 (%)
大体时间：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
大体时间：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)
大体时间：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 (%)
大体时间：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

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

赞助

Istanbul Gelisim University

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查，以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2026年5月15日

初级完成 (实际的)

2026年5月22日

研究完成 (实际的)

2026年5月22日

研究注册日期

首次提交

2026年6月18日

首先提交符合 QC 标准的

2026年6月24日

首次发布 (实际的)

2026年6月30日

研究记录更新

最后更新发布 (实际的)

2026年6月30日

上次提交的符合 QC 标准的更新

2026年6月24日

最后验证

2026年6月1日

更多信息

与本研究相关的术语

其他研究编号

  • IGU-SINTECH-BASKET-AI-2026-01

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)？

不

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

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