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通过分层多元回归结合工作压力模型预测职业倦怠:上海的一项横断面调查

Combining job stress models in predicting burnout by hierarchical multiple regressions: a cross-sectional investigation in Shanghai.

作者信息

Dai Jun Ming, Collins Sean, Yu Hui Zhu, Fu Hua

机构信息

Department of Preventive Medicine, School of Public Health, Fudan University, Shanghai, China.

出版信息

J Occup Environ Med. 2008 Jul;50(7):785-90. doi: 10.1097/JOM.0b013e318167750a.

Abstract

OBJECTIVE

To compare the predictive validity of the demand control and effort-reward imbalance model, alone and in combination with each other, for job burnout in Shanghai employees.

METHODS

A sample of 1368 Shanghai employees responded to a core job stress questionnaire and burnout scale in Chinese. Hierarchically moderated multiple regressions were used to analyze the relationship between job stress and burnout.

RESULTS

All factors from both job stress models predicted 33.5% of the variance in emotional exhaustion, and 20.9% in depersonalization and 5.5% in personal accomplishment. Factors from the effort-reward model demonstrated more power in predicting emotional exhaustion and depersonalization than that of demand control model. Personal accomplishment was significantly associated with sociodemographic factors.

OUTCOME

The combination of two models may improve our understanding of the relationship between the psychosocial work environment and job burnout.

摘要

目的

比较需求控制模型和努力-回报失衡模型单独及联合使用时,对上海员工职业倦怠的预测效度。

方法

1368名上海员工样本用中文回答了核心工作压力问卷和倦怠量表。采用分层调节多元回归分析工作压力与倦怠之间的关系。

结果

两种工作压力模型的所有因素预测了情绪衰竭33.5%的变异、去个性化20.9%的变异以及个人成就感5.5%的变异。努力-回报模型的因素在预测情绪衰竭和去个性化方面比需求控制模型更具效力。个人成就感与社会人口学因素显著相关。

结果

两种模型的联合使用可能会增进我们对心理社会工作环境与职业倦怠之间关系的理解。

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