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严重受伤运动员经历了多少与运动损伤相关的成长?对比心理、情境和人口统计学预测因素。

How Much Do Severely Injured Athletes Experience Sport Injury-Related Growth? Contrasting Psychological, Situational, and Demographic Predictors.

机构信息

University of Freiburg, Freiburg im Breisgau,Germany.

Leuphana University of Lüneburg, Lüneburg,Germany.

出版信息

J Sport Exerc Psychol. 2022 Jul 7;44(4):295-311. doi: 10.1123/jsep.2021-0282. Print 2022 Aug 1.

DOI:10.1123/jsep.2021-0282
PMID:35894969
Abstract

Sport injury-related growth (SIRG) describes the possibility for athletes to benefit psychologically from an injury. The present, preregistered online study examined an international sample of 335 athletes with impressive athletic biographies who sustained a severe sport-related injury. Expanding the extant literature, we empirically contrasted numerous psychological, situational, and demographic predictors of perceived SIRG-specifically, athletes' optimism, coping style, self-efficacy, athletic identity, social support, need satisfaction, and injury centrality. Our data first provide empirical evidence for perceived SIRG, even when statistically controlling for a potential social-desirability bias in athletes' responses. In addition, frequentist and Bayesian regression analyses showed that several psychological variables predicted perceived SIRG-particularly athletes' informational social support, positive reframing, optimism, and injury centrality. Finally, post hoc mediation analyses showed how these psychological variables account for different levels of perceived SIRG as a function of demographic variables. Theoretical and practical implications are discussed, along with directions for future research.

摘要

运动损伤相关增益(SIRG)描述了运动员从伤病中获得心理收益的可能性。本研究为线上预注册研究,调查了 335 名具有出色运动经历的运动员,他们都遭受过严重的运动相关损伤。本研究扩展了现有文献,实证对比了众多心理、情境和人口统计学预测因素对感知 SIRG 的影响,具体包括运动员的乐观主义、应对方式、自我效能、运动认同、社会支持、需求满足和损伤中心性。我们的数据首次提供了感知 SIRG 的实证证据,即使在统计上控制了运动员回复中潜在的社会期望偏差。此外,经典和贝叶斯回归分析表明,一些心理变量可以预测感知 SIRG,特别是运动员的信息性社会支持、积极的重新构建、乐观主义和损伤中心性。最后,事后中介分析显示,这些心理变量如何根据人口统计学变量解释感知 SIRG 的不同水平。讨论了理论和实践意义,以及未来研究的方向。

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