在COVID-19大流行期间,工人的情绪疲劳和心理健康:动态结构方程建模 (DSEM) 方法
Enrico Perinelli1, Michela Vignoli1, Friedrich Kröner2
1Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy.
Frontiers in psychology
|October 23, 2023
概括
随着COVID-19的流行,工作人员的情绪疲劳 (EmEx) 和心理健康 (MWB) 变得更糟,这表明了两者之间的负面循环. 动态结构方程建模 (DSEM) 有效地分析了这些职业健康动态.
科学领域:
- 职业健康心理学 职业健康心理学
- 劳动力心理健康 劳动力心理健康
- 心理健康研究 心理健康研究
背景情况:
- 由于长期的压力和不确定性,COVID-19大流行严重影响了劳动力的情感和心理福祉.
- 了解职业健康结构的动态性质对于应对与流行病相关的挑战至关重要.
- 现有的研究往往缺乏动态的方法学观点,以捕捉不断变化的劳动力福祉.
研究的目的:
- 在COVID-19大流行期间调查情绪疲劳 (EmEx) 和心理健康 (MWB) 之间的自动回归,趋势和交叉滞后关系.
- 应用动态结构方程建模 (DSEM) 框架来分析EmEx和MWB的每周变化.
- 为了确定EmEx和MWB在劳动力中的稳定和不稳定的特征.
主要方法:
- 使用了一个动态结构方程建模 (DSEM) 框架.
- 采用多层次的AR(1) 模型,残余DSEM (RDSEM),多层次的双变量VAR(1) 模型,以及多层次的位置尺度模型.
- 收集了来自德国和意大利的533名工人的每周自我报告数据 (总观察数 = 3,946).
主要成果:
- 对于EmEx和MWB都发现了显著的正 autoregression,表明它们的水平稳定.
- 在研究期间,EmEx显著增加,而MWB显著下降,在水平之间存在显著的变化.
- EmEx和MWB表现出显著的负面每周交叉滞后效应,这表明它们之间存在有害循环.
结论:
- 在情绪疲和精神健康之间存在一个恶性循环,即使考虑到自动回归和趋势效应.
- 该研究强调了DSEM对分析职业健康心理学现象的实用性.
- 调查结果强调了需要采取干预措施,解决劳动力疲劳和福利之间的相互作用.
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