首页> 外文期刊>Journal of occupational and environmental medicine >Combining Job Stress Models in Predicting Burnout by Hierarchical Multiple Regressions: A Cross-sectional Investigation in Shanghai.
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Combining Job Stress Models in Predicting Burnout by Hierarchical Multiple Regressions: A Cross-sectional Investigation in Shanghai.

机译:结合工作压力模型通过分层多元回归预测倦怠:上海的一项横断面调查。

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摘要

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.
机译:目的:比较需求控制和努力-报酬失衡模型在上海员工工作倦怠中的预测有效性。方法:抽取1368名上海员工对中文核心工作压力问卷和倦怠量表进行了回答。采用分层调节的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都预测了33.5%的情绪疲惫差异,20.9%的人格解体和5.5%的个人成就感。与需求控制模型相比,努力回报模型的因素显示出在预测情绪疲惫和人格解体方面的能力更大。个人成就与社会人口统计学因素显着相关。成果::两种模型的结合可以增进我们对社会心理工作环境与工作倦怠之间关系的理解。

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