Position-Specific Lower Extremity Performance and Artificial Intelligence-Based Injury Risk Analysis in Young Male Basketball Players
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 81
- 试验地点
- 1
- 主要终点
- Countermovement Jump Height
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- 12 Years 至 18 Years（Child, Adult）
- 性别
- Male
- 接受健康志愿者
- 是
入选标准
- •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.
排除标准
- •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.
结局指标
主要结局
Countermovement Jump Height
时间窗: Baseline assessment (single session)
Vertical jump height measured during the countermovement jump (CMJ) test using an artificial intelligence-based performance assessment system.
Reactive Strength Index (RSI)
时间窗: Baseline assessment (single session)
Reactive strength performance calculated from jump height and ground contact time during reactive jump testing.
AI-Based Injury Risk Classification Score
时间窗: 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.
次要结局
- Single-Leg Hop Performance(Baseline assessment (single session))
- Time to Complete the T-Test Agility Assessment (seconds)(Baseline assessment (single session))
- Limb Symmetry Index Calculated from Single-Leg Countermovement Jump Height (%)(Baseline assessment (single session))
- Previous Lower Extremity Injury History(At study enrollment)
- Countermovement Jump Height Measured by the D-Wall Athlete Performance System (cm)(Baseline)
- Acceleration and Deceleration Scores Measured by the D-Wall Athlete Performance System (%)(Baseline)