优秀手球运动员身体、心理和双重职业负荷作为受伤和疾病的危险因素:一项为期45周的前瞻性队列研究。

IF 2.6 Q2 SPORT SCIENCES
Frontiers in Sports and Active Living Pub Date : 2025-08-29 eCollection Date: 2025-01-01 DOI:10.3389/fspor.2025.1664247
Kristina Drole, Armin Paravlic, Kathrin Steffen, Mojca Doupona
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引用次数: 0

摘要

虽然训练和比赛负荷是损伤的危险因素,但双职业负荷、生活压力源和总体负荷对损伤和疾病的影响尚不清楚。摘要本研究旨在探讨优秀男子手球运动员受伤/疾病的发生是否受到训练、比赛、学业和工作负荷,以及总体负荷(学业/工作、训练和比赛负荷之和)和生活事件的影响。方法:在这项为期45周的前瞻性队列研究中,189名优秀男子手球运动员每周报告他们在训练、比赛、学术和工作领域的负荷。我们得出了一个“总负荷”变量,即训练、比赛、学习和工作时间的总和。使用OSTRC-H2-SLO记录了健康问题,包括急性非接触性、过度使用伤害和疾病,同时使用LESCA问卷评估了社会心理负荷。采用多变量logistic回归和非参数检验确定危险因素和组间差异。结果:受伤运动员的训练量显著高于非受伤运动员(MD = 2.6 h; p = 0.042),但学业负荷显著低于非受伤运动员(MD = 2.5 h; p = 0.001)。同样,患病运动员有更高的训练负荷(MD = 1.55 h, p = 0.026)和比赛负荷(MD = 0.23 h, p p = 0.001)。训练负荷是损伤(OR = 1.33)和疾病(OR = 1.23)的显著预测因子,比赛负荷是疾病的显著预测因子(OR = 37.00)。学业和工作量不是显著的预测因子。LESCA总分越高,损伤风险越高(p = 0.041),患病风险越高(p = 0.017),得分越低,患病风险越高(p = 0.012)。讨论:训练和比赛负荷是损伤和疾病的关键可改变的风险因素,而双重职业可能作为保护因素。虽然消极的生活事件似乎与疾病有关,但生活变化的总量——无论它们是积极的还是消极的——都是伤害风险的一个重要因素。我们的研究结果支持了运动员健康的综合生物心理社会模型的发展,其中与运动和非运动相关的负荷以及生活事件共同塑造了运动员对受伤和疾病的脆弱性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Physical, psychosocial and dual-career loads as risk factors for injuries and illnesses in elite handball players: a 45-week prospective cohort study.

Physical, psychosocial and dual-career loads as risk factors for injuries and illnesses in elite handball players: a 45-week prospective cohort study.

Introduction: While training and competition load are well-documented risk factors for injury, the influence of dual-career loads, life stressors and overall load on both injury and illness remain less clear. The aim of this study was to investigate whether injury/illness occurrence is influenced by the training, competition, academic and work loads, as well as the overall load (sum of academic/work, training and competition loads) and life events in elite male handball players.

Methods: In this 45-week prospective cohort study, 189 elite male handball players weekly reported their load across training, competition, academic, and work domains. We derived an "overall load" variable as the sum of training, competition, academic and work hours. Health problems, including acute non-contact, overuse injuries and illnesses, were recorded using OSTRC-H2-SLO, while psychosocial load was assessed using the LESCA questionnaire. Multivariate logistic regression and non-parametric tests were used to identify risk factors and group differences.

Results: Injured athletes reported significantly higher training (MD = 2.6 h; p < 0.001), and overall loads (MD = 2.9 h; p = 0.042), but lower academic loads (MD = 2.5 h; p = 0.001) than non-injured athletes. Similarly, ill athletes had higher training load (MD = 1.55 h; p = 0.026) and competition loads (MD = 0.23 h; p < 0.001) but lower academic loads (MD = 2.24 h; p = 0.001). Training load emerged as a significant predictor of both injury (OR = 1.33) and illness (OR = 1.23), and competition load strongly predicted illness (OR = 37.00). Academic and work loads were not significant predictors. Higher LESCA total scores were associated with increased injury (p = 0.041) and illness risk (p = 0.017), while negative scores were associated with increased illness risk (p = 0.012).

Discussion: Training and competition loads are key modifiable risk factors for injury and illness, while dual career might serve as a protective factor. While negative life events appear to be associated with illness, the overall volume of life changes-regardless of whether they are positive or negative-emerges as a significant factor in injury risk. Our results support the development of an integrated biopsychosocial model of athlete's health, where sports- and non-sports-related loads, together with life events shape an athlete's vulnerability to injury and illness.

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CiteScore
2.60
自引率
7.40%
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