贵州省3类重点职业人群职业紧张和睡眠障碍现状与影响因素

Prevalence and influencing factors of occupational stress and sleep disorders among 3 key occupational groups in Guizhou Province

  • 摘要:
    背景 第二产业职业人群经常以夜班方式工作,周工作时间长,容易发生职业紧张和睡眠障碍,可能会严重影响身心健康和工作效率。
    目的 调查贵州省3类重点职业人群职业紧张和睡眠障碍现状与影响因素,为制定干预措施提供基础依据。
    方法 采用分层随机整群抽样法,选择贵州省3类重点职业人群中11552名工人,采用《全国重点人群职业健康素养监测调查个人问卷》对其职业紧张和睡眠障碍情况进行调查。
    结果 得到有效问卷9956份,有效率86.18%。贵州省3类重点职业人群的职业紧张和睡眠障碍检出率分别为22.6%和40.6%。不同行业职业人群职业紧张检出率差异无统计学意义(P>0.05)。不同行业职业人群睡眠障碍检出差异有统计学意义(P<0.05),电力、热力、燃气、水生产和供应业(电热燃水业)最高(47.9%)。logistic回归分析结果显示:单位规模、周工作时间、睡眠障碍、在岗年限、上夜班、月收入和性别均是职业人群职业紧张的独立影响因素(P<0.05);职业紧张、周工作时间、婚姻状况、行业、文化程度、上夜班、户口性质、月收入和年龄均是职业人群睡眠障碍的独立影响因素(P<0.05)。
    结论 贵州省3类重点职业人群职业紧张和睡眠障碍检出率较高,电热燃水业睡眠障碍问题尤其突出。应重点关注电热燃水业、40岁以下、丧偶离异、低学历、低收入、上夜班、周工作时间长、有职业紧张人群的睡眠障碍问题。

     

    Abstract:
    Background Working night shifts is common in the secondary industry workers, and usually with long weekly working hours. They are prone to occupational stress and sleep disorders, which may seriously affect their physical and mental health and work efficiency.
    Objective To investigate the current situation and influencing factors of occupational stress and sleep disorders among three key occupational groups in Guizhou Province, and provide a basis for formulating intervention measures.
    Methods A stratified random cluster sampling method was used to select 11552 workers as the research subjects from three occupational groups in Guizhou Province. A survey on occupational stress and sleep disorders was conducted using the National Key Population Occupational Health Literacy Monitoring Survey Personal Questionnaire.
    Results A total of 9956 valid questionnaires were recovered (86.18%). The positive rates of occupational stress and sleep disorders among the three key occupational groups in Guizhou Province were 22.6% and 40.6%, respectively. No differences were found among those by individual characteristics (P>0.05). There was a statistically significant difference in reporting sleep disorders among the occupational groups by industry (P<0.05), with the highest rate observed in the production and supply industries of electricity, heat, gas, and water (47.9%). The results of logistic regression analysis showed that company size, weekly working hours, sleep disorders, length of service, night shift, monthly income, and gender were all independent influencing factors of occupational stress in the target population (P <0.05); occupational stress, weekly working hours, marital status, industry, educational level, night shift, household type, monthly income, and age were all independent influencing factors for sleep disorders in the target population (P <0.05).
    Conclusion The positive rates of occupational stress and sleep disorders are high among the three key occupational groups in Guizhou Province, with sleep disorders particularly prominent in the production and supply industries of electricity, heat, gas, and water. Special attention should be paid to sleep disorders in individuals of the industry of the production and supply industries of electricity, heat, gas, and water, under 40 years old, widowed or divorced, with low education, low income, working night shifts, long weekly working hours, and experiencing occupational stress.

     

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