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暴露、生长和成熟对男足学院运动员受伤风险的影响。

The influence of exposure, growth and maturation on injury risk in male academy football players.

机构信息

Department for Health, University of Bath, Bath, UK.

Academy Sports Science and Medicine Department, AFC Bournemouth, Bournemouth, UK.

出版信息

J Sports Sci. 2022 May;40(10):1127-1136. doi: 10.1080/02640414.2022.2051380. Epub 2022 Mar 14.

Abstract

Adolescence is a period of increased injury risk in youth footballers; however, no studies have considered the influence of growth-related factors and exposure time upon injury risk. Forty-nine elite male youth footballers were prospectively monitored for growth, lower-limb growth, maturation, training volume and injury for one season. Generalised linear mixed-effects models were used to model growth rate, lower-limb growth rate, maturation, and smoothed week-to-week changes in exposure on time-loss injury risk. The relationship between growth rate and injury incidence was linear (P = 0.031) and injury burden was non-linear (P = 0.019). The relationship between lower-limb growth rate and injury incidence was linear and positive (P = 0.098). A non-linear relationship was observed between lower-limb growth rate and injury burden (P = 0.001). A non-linear relationship between Percentage of Predicted Adult Stature and both injury incidence and injury burden were found, with peak risk occurring at 92% and 95% , respectively. There was a positive linear relationship between week-to-week changeand injury incidence (P = 0.001), and a non-linear relationship between week-to-week change and injury burden (P = 0.01). Practitioners should monitor the timing and rate of the growth spurt and exposure time to identify players at greater injury risk.

摘要

青春期是青年足球运动员受伤风险增加的时期;然而,尚无研究考虑与生长相关的因素和暴露时间对受伤风险的影响。对 49 名精英男性青年足球运动员进行了为期一个赛季的前瞻性监测,以监测生长、下肢生长、成熟度、训练量和受伤情况。使用广义线性混合效应模型来模拟生长率、下肢生长率、成熟度以及暴露时间的每周平滑变化与伤停时间的受伤风险之间的关系。生长率与受伤发生率之间的关系呈线性(P=0.031),受伤负担呈非线性(P=0.019)。下肢生长率与受伤发生率之间的关系呈线性和正相关(P=0.098)。下肢生长率与受伤负担之间观察到非线性关系(P=0.001)。发现预测成人身高百分比与受伤发生率和受伤负担之间存在非线性关系,分别在达到 92%和 95%时风险最高。每周变化与受伤发生率之间存在正线性关系(P=0.001),每周变化与受伤负担之间存在非线性关系(P=0.01)。从业者应监测生长突增和暴露时间的时间和速率,以确定受伤风险较高的运动员。

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