Radboud University Nijmegen, Behavioural Science Institute, Nijmegen, the Netherlands.
Scand J Work Environ Health. 2012 May;38(3):238-46. doi: 10.5271/sjweh.3263. Epub 2011 Dec 2.
This study of a large and heterogeneous sample of 5210 daytime employees was designed to shed more light on the work effort-recovery mechanism by examining the cross-sectional relations between subjective sleep quality and (i) psychosocial work characteristics, (ii) work-related rumination, (iii) fatigue after work, and (iv) affective well-being at work and work pleasure.
We used the Dutch Questionnaire on the Experience and Evaluation of Work and created three sleep quality groups (low, low-to-intermediate, and high quality). Group differences were studied through analysis of variance (ANOVA). To examine the relations among the study variables in more detail, we also conducted four sets of stepwise regression analyses. In all the analyses, we corrected for age, level of education, and gender.
A series of (M)ANOVA provided strong evidence for a relation between sleep quality and adverse work characteristics and work-related rumination. Furthermore, poor sleepers reported higher levels of fatigue after work, and poor sleep quality was related to both lower affective well-being during work and work pleasure. Regression analyses revealed that sleep quality was the strongest statistical predictor of after-work fatigue and affective well-being at work, and high levels of work rumination constituted the strongest statistical predictor of sleep complaints.
As this study showed strong relations between sleep quality, occupational stress, fatigue, perseverative cognitions, and work motivation, it supports effort-recovery theory. Interventions should aim to prevent a disbalance between effort and recovery.
本研究对 5210 名日间工作的员工进行了一项大规模、异质样本的研究,旨在通过考察主观睡眠质量与(i)社会心理工作特征、(ii)与工作相关的反刍思维、(iii)工作后疲劳和(iv)工作中的情感幸福感和工作愉悦感之间的横断面关系,进一步阐明工作努力-恢复机制。
我们使用了荷兰工作经历和评估问卷,并创建了三个睡眠质量组(低、低-中、高)。通过方差分析(ANOVA)研究组间差异。为了更详细地考察研究变量之间的关系,我们还进行了四组逐步回归分析。在所有分析中,我们校正了年龄、教育水平和性别。
一系列(M)ANOVA 提供了强有力的证据,证明睡眠质量与不良的工作特征和与工作相关的反刍思维之间存在关系。此外,睡眠质量差的人报告工作后疲劳程度更高,睡眠质量差与工作期间的情感幸福感和工作愉悦感都较低有关。回归分析显示,睡眠质量是工作后疲劳和工作中情感幸福感的最强统计学预测指标,而高水平的工作反刍思维是睡眠抱怨的最强统计学预测指标。
正如本研究所示,睡眠质量、职业压力、疲劳、持续认知和工作动机之间存在强烈关系,这支持了努力-恢复理论。干预措施应旨在防止努力与恢复之间的失衡。