塑造训练负荷,技术战术行为,和幸福在足球:一个系统的回顾。

IF 2.9 Q2 SPORT SCIENCES
Sports Pub Date : 2025-07-25 DOI:10.3390/sports13080244
Pedro Afonso, Pedro Forte, Luís Branquinho, Ricardo Ferraz, Nuno Domingos Garrido, José Eduardo Teixeira
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引用次数: 0

摘要

足球表现是身体、战术、技术和心理维度之间动态相互作用的结果,每一个维度都影响着球员的健康、恢复和准备。然而,综合监测方法仍然很少,特别是在青年和次精英群体中。本系统综述筛选了来自PubMed、Scopus和Web of Science的341条记录,其中46项研究符合纳入标准(n = 1763名参与者,年龄范围:13.2-28.7岁)。44项研究使用gps导出的指标(如总距离和高速跑步)报告了物理外部负荷,而36项研究通过rpe(感知运动率×持续时间)、心率区、训练冲量(TRIMP)和球员负荷(PL)检查了内部负荷。共有22项研究包括健康指标,包括疲劳、睡眠质量、压力水平和肌肉酸痛,通过胡珀指数(HI)、总质量恢复(TQR)量表和各种李克特型或综合健康评分等工具。战术行为(n = 15)来自位置跟踪系统,而技术表现(n = 7)使用传球精度和预期进球等指标进行评估,这些指标通常来自Wyscout®或TRACAB®(多摄像头光学跟踪系统)。只有五项研究采用多变量模型来检验绩效领域之间的相互作用或预测幸福感结果。大多数仍然是观察性的,依赖于描述性分析和孤立地检查每个领域。这些发现揭示了一种分散的球员监控方法,并且缺乏身体、心理、战术和技术指标之间的概念整合。未来的研究应该优先考虑多维的、标准化的监测框架,结合上下文、心理生理和表现数据,以提高应用决策和支持球员健康,特别是在亚精英和青年人群中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Shaping Training Load, Technical-Tactical Behaviour, and Well-Being in Football: A Systematic Review.

Shaping Training Load, Technical-Tactical Behaviour, and Well-Being in Football: A Systematic Review.

Football performance results from the dynamic interaction between physical, tactical, technical, and psychological dimensions-each of which also influences player well-being, recovery, and readiness. However, integrated monitoring approaches remain scarce, particularly in youth and sub-elite contexts. This systematic review screened 341 records from PubMed, Scopus, and Web of Science, with 46 studies meeting the inclusion criteria (n = 1763 players; age range: 13.2-28.7 years). Physical external load was reported in 44 studies using GPS-derived metrics such as total distance and high-speed running, while internal load was examined in 36 studies through session-RPE (rate of perceived exertion × duration), heart rate zones, training impulse (TRIMP), and Player Load (PL). A total of 22 studies included well-being indicators capturing fatigue, sleep quality, stress levels, and muscle soreness, through tools such as the Hooper Index (HI), the Total Quality Recovery (TQR) scale, and various Likert-type or composite wellness scores. Tactical behaviours (n = 15) were derived from positional tracking systems, while technical performance (n = 7) was assessed using metrics like pass accuracy and expected goals, typically obtained from Wyscout® or TRACAB® (a multi-camera optical tracking system). Only five studies employed multivariate models to examine interactions between performance domains or to predict well-being outcomes. Most remained observational, relying on descriptive analyses and examining each domain in isolation. These findings reveal a fragmented approach to player monitoring and a lack of conceptual integration between physical, psychological, tactical, and technical indicators. Future research should prioritise multidimensional, standardised monitoring frameworks that combine contextual, psychophysiological, and performance data to improve applied decision-making and support player health, particularly in sub-elite and youth populations.

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来源期刊
Sports
Sports SPORT SCIENCES-
CiteScore
4.10
自引率
7.40%
发文量
167
审稿时长
11 weeks
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