郑州机车乘务员睡眠质量及其影响因素研究

Analysis on sleep quality and its influencing factors in Zhengzhou train drivers

目的探讨郑州机务段机车乘务员的睡眠质量情况及其影响因素。方法采用整群抽样法,以郑州铁路局郑州机务段1 448名机车乘务员为调查对象,采用《睡眠障碍问卷》进行睡眠质量调查。结果机车乘务员睡眠障碍得分在不同年龄、工龄、文化程度、婚姻状况、配偶工作情况和家庭月总收入之间差异均无统计学意义(P>0.05);机车乘务员睡眠障碍得分在不同工种、月值乘次数、夜间值乘次数和月值乘时间之间差异均有统计学意义(P<0.05)。多因素Logistic回归分析结果显示,动车高铁乘务员发生睡眠质量差的风险分别高于客车乘务员和调车乘务员(P<0.05,P<0.01);月值乘次数越多和月值乘时间越长者,发生睡眠质量差的风险越高(P<0.01,P<0.05)。结论工作性质和睡眠质量间存在关联,应针对机车乘务员工作性质采取综合干预措施预防发生睡眠障碍。

Objective To explore the sleep quality condition and its related influencing factors in train drivers in Zhengzhou depot. Methods By using chester sampling method, the Sleeping Disorder Questionnaire was adopted to survey the sleep quality conditions in 1 448 locomotive crew members in Zhengzhou depot of Zhengzhou Railway Bureau. Results The sleep disorder scores of showed no statistical significant difference in factors of age, length of service, educational level, marital status spouse working situation and monthly total family income （ P 〉 0.05 ） ; while the sleep disorder scores of train drivers had statistical significant difference in different types of work, monthly duty times, night duty times and monthly cumulative working time （ P 〈 O. 05 ）. Logistic regression analysis showed that high-speed railway driver had higher risk of poor sleep quality than general passenger train driver and railway shunting locomotive respectively （ P 〈 0. 05, P 〈 0. 01 ） ; more monthly duty times and longer monthly cumulative work time had higher prevalence risk of poor sleep quality （ P 〈 0. 01, P 〈 0.05 ）. Conclusion There is a certain correlation between sleep quality and job condition, integrated intervention measures should be carried out to prevent sleep disorder in train drivers based on their job conditions.