Data for: Athlete burnout and mental and physical health outcomes: A three-wave longitudinal study

Abstract for related study (prior to peer review): Burnout is an increasingly prevalent mental health problem in athletes that may also increase the risk for further adverse mental and physical health consequences. However, longitudinal research in this area is scarce. The studies that do exist have yet to test possible reciprocal effects while accounting for the multilevel structure of longitudinal data. Consequently, the aim of the present study was to examine longitudinal and reciprocal relationships between athlete burnout and possible health consequences using, for the first time in sport psychology research, a random-intercept cross-lagged panel model to disaggregate between- and within-person effects. Based on existing literature, we chose to focus on physical symptoms, illness, depressive symptoms, sleep disruptions, and life satisfaction as the health variables of interest. Following a pre-registered protocol with open data, materials, and code, we recruited a sample of 267 competitive athletes who completed measures at three timepoints over six months. At the between-person level, we found athlete burnout to be associated with all examined health consequences. At the within-person level, emotional and physical exhaustion was found to predict increases in depressive symptoms. Sleep disruptions were found to predict increases in devaluation. Life satisfaction was found to predict decreases in total burnout, exhaustion, and reduced sense of accomplishment. The findings provide the strongest evidence to date that athlete burnout increases the risk for further health consequences such as depressive symptoms. Furthermore, reciprocal findings suggest that sleep and satisfaction-based interventions (e.g., sleep hygiene training and positive psychology interventions) may be able to protect against burnout development.

搜集汇总

背景与挑战

背景概述

该数据集是用于一项关于运动员倦怠与心理健康和身体健康结果之间关系的三波纵向研究的数据，包含267名竞技运动员在六个月内三个时间点的测量数据。数据集使用随机截距交叉滞后面板模型进行分析，发现倦怠与所有检查的健康后果相关，并揭示了睡眠障碍和生活满意度对倦怠的预测作用，为干预措施如睡眠卫生训练和积极心理学干预提供了依据。