摘要
目的:对电子器件制造业员工失眠症状进行调查,分析职业应激相关因素对其影响。方法:2016年7至12月采用整群抽样的方法,以电子器件制造企业员工2251人为调查对象,分别采用《失眠症状量表》《工作要求-自主问卷》和《付出-回报失衡问卷》对其失眠症状及职业应激相关因素进行评估。结果:调查对象中有失眠症状者509人,检出率22.6%。付出、内在投入得分高为电子器件制造员工失眠症状的危险因素(P<0.05),付出得分高者失眠症状风险是得分低者的1.689倍(95%CI:1.334~2.138),内在投入得分高者失眠症状风险是内在投入得分低者的1.835倍(95%CI:1.461~2.305)。女性、月收入≥3000元、大专及以上学历、工作自主性高、回报得分高为电子器件制造业员工失眠症状的保护因素(P<0.05)。结论:电子器件制造企业应采取综合措施,减少付出得分高、内在投入得分高员工失眠症状的发生。
Objective To investigate the prevenlence of insomnia on workers and related influcecing factors in chip manufacturing industry.Methods By using cluster sampling method,2251 workers in chip manufacturing industry were selected as study subjects.The simple Job Demand-Control model Questionnnaire(JDC),Effort-Reword Imbalance(ERI)Questionnnaire and Insomnia Symptoms Scale were used to evaluate JDC occupational stress,ERI occupational stress and insomnia symptoms respectively.Results 22.6%(509/2251)workers were found high level of insomnia.The risk factors of insomnia symptoms were high score of effort and overcommitment(P<0.05).The risk of insomnia symptoms in high effort was 1.689 times that of low score(95%CI:1.334-2.138).The risk of insomnia symptoms in high overcommitment was 1.835 times that of low score(95%CI:1.461-2.305).The protective factors for insomnia symptoms were women,monthly income of more than 3000 yuan,college dregree or above,high work control and high reward(P<0.05).Conclusion The high scores of effort and overcommitment are the risk factors for insomnia symptoms of employees in manufacture electronic devices.Enterprises should take comprehensive measures to pay attention to the occurrence of insomnia symptoms among employees with high score of effort and overcommitment.
作者
范丽娜
于津伟
杨雪莹
曾强
Fan Lina;Yu Jinwei;Yang Xueying;Zeng Qiang(Tianjin Center for Disease Control and Prevention,Tianjin 300011,China)
出处
《中华劳动卫生职业病杂志》
CAS
CSCD
北大核心
2020年第4期259-262,共4页
Chinese Journal of Industrial Hygiene and Occupational Diseases
基金
天津市卫生行业高层次人才津门医学英才人才基金(2018.19)。
关键词
失眠
职业应激
制造业
影响因素
Insomnia
Occupational stress
Manufacturing industry
Influence factor