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机构地区:[1]郑州大学公共卫生学院社会医学教研室,450001 [2]河南省职业病防治研究所
出 处:《中华劳动卫生职业病杂志》2007年第12期735-738,共4页Chinese Journal of Industrial Hygiene and Occupational Diseases
摘 要:目的调查企业职工工作倦怠和生命质量状况,并分析两者之间的关系。方法统一设-计调查问卷,调查3个国有企业所有职工的工作倦怠和生命质量状况,并采用典型相关和层次多元回归对工作倦怠和生命质量之间的关系进行分析。结果不同人口学变量的工作倦怠和生命质量存在差异。情绪耗竭与心理内容综合测量呈负相关。生理内容综合测量的预测变量为年龄、文化程度、情绪耗竭和专业低效能感,标准化偏回归系数分别为-0.101,0.055,-0.294和-0.058,差异有统计学意义(P<0.05)。文化程度是生理内容综合测量的正向预测变量,而年龄、情绪耗竭和专业低效能感均为生理内容综合测量的反向预测变量。心理内容综合测量的预测变量有情绪耗竭、消极怠慢和专业低效能感,标准化偏回归系数分别为-0.546,-0.075和-0.184,差异有统计学意义(P<0.05),且均为反向预测变量。2个综合测量预测能力最强的变量均为情绪耗竭。结论工作倦怠是企业职工生命质量的重要危险因素,尤其对心理健康影响较大。Objective To investigate the status of job burnout and the quality of life of factory staff and analyze the their relationship. Methods Questionnaires were administered to investigate the status of job burnout and quality of life of all the staff in three randomly selected state factories, and then the methods of canonical correlation and hierarchical linear regression analysis were used to analyze the relationship between job burnout and quality of life. Results Job burnout and quality of life were somewhat different among staff in factories of different demography character. Emotional exhaustion was negatively associated with mental component summary (MCS). The predictive variables of physical component summary (PCS) were age, educational attainment, emotional exhaustion and professional efficacy and the standard partial regression coefficients of the four variables were -0.101, 0.055, -0,294, -0.058 respectively(P〈0.05). Educational level positively predicted the physical component summary, whereas age, emotional exhaustion and professional efficacy predicted physical component summary negatively. The predictive variables of mental component summary were emotional exhaustion, cynicism and professional efficacy and the standard partial regression coefficients of the three scale of job burnout were -0.546, -0.075, -0.184 (P〈0.05), All the three scales of job burnout predicted the mental component summary negatively. The emotional exhaustion was the most predictive variable for both the physical component summary and the mental component summary. Conclusion .Job burnout is the important risk factor of quality of life of factory staff, especially influencing the staff' s metal health significantly,
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