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两种测量模式分析广东省某供电局职工职业紧张现况

发布时间:2019-01-03 11:08
【摘要】:目的联合使用两种职业紧张测量模式对广东某供电局职工的职业紧张流行状况进行调查与分析。方法采用工作内容问卷和付出-回报失衡问卷对某供电局924名职工的职业紧张状况进行调查,并分析其流行特征。结果根据工作要求-自主-社会支持模式,28.04%的职工存在职业紧张;教育程度为本科的职工与高中或中专以下的职工相比,发生职业紧张的OR值为2.03(95%CI:1.08~3.84);接触职业病危害因素的职工发生职业紧张的风险较大(OR=1.73,95%CI:1.02~2.95)。19.40%的职工存在付出-回报失衡,以30岁以下组为参照,30~39岁组、40~49岁组发生付出-回报失衡的OR值分别为2.13(95%CI:1.30~3.49)和2.44(95%CI:1.31~4.56);临时职工、特种作业人员、接触职业病危害因素的职工发生付出回报失衡的风险较大,OR值分别为3.18(95%CI:1.74~5.81)、1.65(95%CI:1.02~2.66)和7.81(95%CI:2.40~25.38)。结论 30~50岁的职工、教育程度为本科的职工、临时职工、特种作业人员与接触职业性危害因素的职工面临的职业紧张风险较高,提示应针对重点人群采取相关干预措施。
[Abstract]:Objective to investigate and analyze the prevalence of occupational stress in a power supply bureau in Guangdong province by using two kinds of occupational stress measurement models. Methods the occupational stress of 924 employees in a power supply bureau was investigated by job content questionnaire and pay-reward imbalance questionnaire, and the epidemic characteristics were analyzed. Results 28.04% of the staff and workers had occupational stress according to the job requirement-independent-social support model. Compared with those below high school or technical secondary school, the OR of the workers with undergraduate education was 2.03 (95%CI:1.08~3.84). There was a greater risk of occupational stress among workers exposed to occupational disease hazards (OR=1.73,95%CI:1.02~2.95). 19.40% of the workers had a pay-return imbalance. The OR values of pay-reward imbalance were 2.13 (95%CI:1.30~3.49) and 2.44 (95%CI:1.31~4.56) in 40.49 years old group respectively. Temporary workers, special operators and workers exposed to occupational disease hazards were at greater risk of imbalance in payback, with OR values of 3.18 (95%CI:1.74~5.81), respectively. 1.65 (95%CI:1.02~2.66) and 7.81 (95%CI:2.40~25.38). Conclusion the workers aged 30 to 50 with undergraduate education, temporary workers, special workers and workers exposed to occupational hazards are facing higher occupational stress risk, suggesting that relevant intervention measures should be taken for key population groups.
【作者单位】: 中山大学公共卫生学院医学统计与流行病学系;广东电网有限责任公司电力科学研究院;
【基金】:南方电网公司科技项目(K-GD2014-0618)
【分类号】:R135

【参考文献】

相关期刊论文 前1条

1 谢震宇;杨黎明;戴俊明;黄云彪;王宇;陈波;金泰^,

本文编号:2399294


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