年轻男性足球运动员冲刺和跳跃表现之间的纵向关联:对人才发展的影响
Mihkel M Laas1, Matthew Wright2, Kevin Enright3
1Ulster University.
Research quarterly for exercise and sport
|December 15, 2025
概括
反运动跳跃 (CMJ) 并不是随着时间的推移对年轻男性足球运动员冲刺表现变化的可靠预测. 年代学年龄显著影响冲刺发展,需要直接冲刺评估以进行准确的监测.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 青年运动员发展 青年运动员发展
背景情况:
- 长度监测身体表现对于足球人才发展至关重要.
- 反运动跳跃 (CMJ) 和冲刺表现是足球运动员的关键身体属性.
- 了解CMJ和冲刺能力之间的关系可以为培训和人才识别提供信息.
研究的目的:
- 分析青年男性足球运动员中短冲刺表现和反运动跳跃 (CMJ) 之间的纵向关系.
- 为了确定CMJ是否可以预测随着时间的推移,冲刺表现的有意义变化.
- 调查时间表年龄对这种关系的影响.
主要方法:
- 纵向研究设计涉及304名年轻男性足球运动员 (年龄13.0±1.9岁).
- 收集了10个赛季的数据,包括多次冲刺测试 (10米,20米) 和CMJ测量.
- 统计分析包括玩家内部和玩家之间的相关性和线性混合模型 (LMM).
主要成果:
- 观察到CMJ和冲刺时间之间存在强烈的负相关性.
- 在内部玩家层面上发现了中等到较大的负相关性.
- 线性混合模型表明,时间表年龄,而不是CMJ,影响了随着时间的推移冲刺变化.
结论:
- 反运动跳跃 (CMJ) 对于区分球员之间的冲刺能力很有用,但不是用于纵向跟踪个人冲刺发展.
- 年代年龄是年轻足球运动员冲刺表现变化的重要因素.
- 建议直接进行冲刺评估,以对这一群体的冲刺表现进行纵向监测.
相关概念视频
Motion of a Projectile
2.5K
Projectile motion becomes evident when a player kicks the ball into the air. The launch angle, or the angle at which the ball is kicked, plays a crucial role in determining the trajectory of the projectile. As the ball soars through the air, influenced solely by gravity, its motion can be dissected into two independent velocity components: the horizontal and the vertical.
Horizontal motion, governed by the initial kick, maintains a constant velocity throughout the flight of the soccer ball.
Horizontal motion, governed by the initial kick, maintains a constant velocity throughout the flight of the soccer ball.
2.5K
Longitudinal Research
13.0K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
13.0K
Longitudinal Studies
446
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
446
Exercise and Muscle Performance
2.2K
Exercise induces a range of adaptations in muscle tissue, depending on the type and duration of activity. Such physical training can be broadly categorized into two types: endurance exercises and resistance exercises.
Endurance exercises
Endurance exercises involve running, swimming, or cycling, which require repetitive movements with low force output. When a person engages in endurance exercise, a few noticeable changes occur in their skeletal muscles. For instance, the number of capillaries...
Endurance exercises
Endurance exercises involve running, swimming, or cycling, which require repetitive movements with low force output. When a person engages in endurance exercise, a few noticeable changes occur in their skeletal muscles. For instance, the number of capillaries...
2.2K
Social Facilitation
36.0K
Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
36.0K
Standard Deviation
27.3K
The most commonly used measure of variation is the standard deviation. It is a numerical value measuring how far data values are from their mean. The standard deviation value is small when the data are concentrated close to the mean, exhibiting slight variation or spread. The standard deviation value is never negative, it is either positive or zero. The standard deviation is larger when the data values are more spread out from the mean, which means the data values are exhibiting more variation.
27.3K


