我国制造业员工职业倦怠现状及影响因素

Job burnout and influencing factors among Chinese manufacturing employees

  • 摘要:
    背景 制造业是我国国民经济的主体,制造业劳动群体为我国制造业的蓬勃发展提供了坚实的保障与支持,对制造业员工职业倦怠的研究有助于预防或缓解职业倦怠带来的健康损害和经济损失。
    目的 了解我国制造业员工职业倦怠现状及影响因素,并探究职业倦怠在职业紧张和抑郁症状间的中介作用。
    方法 项目于2019年8—10月、2020年6—9月期间,采用多阶段分层整群抽样方法开展横断面调查,覆盖我国东、西部地区7个省(市)11个制造业细分行业的21家制造业企业。采用《职业倦怠通用量表》《职业紧张测量核心量表》及《9条目患者健康问卷》分别调查职业倦怠、职业紧张及抑郁症状情况。计量资料两组组间M比较采用Mann-Whitney U检验,多组组间M比较采用Kruskal-Wallis H检验;计数资料率的比较采用Pearson χ2检验;采用二元logistic回归进行多因素分析;采用Spearman秩相关分析变量间的相关性;采用逐步回归法分析检验中介效应,并进行Bootstrap中介效应验证。
    结果 回收有效问卷10973份。研究对象耗竭、愤世嫉俗、职业效能、职业倦怠、职业紧张、抑郁症状评分MP25P75)分别为1.6(0.4,3.0)、1.0(0.2,2.2)、4.8(3.2,5.7)、1.6(0.8,2.5)、45.0(40.0,50.0)、7.0(4.0,11.0)分,职业倦怠、职业紧张、抑郁症状发生率分别为53.4%(5865/10973)、28.4%(3116/10973)、29.4%(3231/10973)。职业倦怠的影响因素有性别(相较于男性,女性OR=0.852)、年龄(相较于≤25岁,26~30、31~40、41~50、51~60岁OR=0.824、0.819、0.738、0.677)、学历(相较于初中及以下,高中或中专、大专或高职、研究生及以上OR=1.119、1.345、1.331)、月均收入(相较于<3000元,3000~4999、5000~6999、7000~8999、9000~10999、≥11000元OR=0.513、0.470、0.430、0.375、0.411)、岗位(相较于流水线,非流水线OR=0.814)、周均工作时间(相较于≤40 h,61~70 h、>70 h OR=1.199、1.519)、饮酒情况(相较于不饮酒,饮酒OR=1.261)。职业倦怠评分与职业紧张、抑郁症状评分呈正相关(r=0.556、0.508,P均<0.001)。职业倦怠在职业紧张与抑郁症状间起部分中介效应,其贡献值占总效应的63.2%。
    结论 我国制造业员工职业倦怠问题较突出,影响职业倦怠的因素较多,职业倦怠在职业紧张和抑郁症状之间起部分中介作用。

     

    Abstract:
    Background Manufacturing industry is the main body of China's national economy, and manufacturing employees provide solid guarantee and support for the vigorous development of China's manufacturing industry. The research on job burnout of manufacturing employees is helpful to prevent or alleviate the health damage and economic loss caused by job burnout.
    Objective To investigate the status and influencing factors of job burnout among manufacturing employees in China, and evaluate the potential mediating effect of job burnout between job stress and depressive symptoms.
    Methods A cross-sectional study was performed from August to October 2019 and from June to September 2020 in seven provinces of China. Study participants were recruited from 21 manufacturing companies covering 11 manufacturing subdivisions using multistage stratified cluster sampling. General Burnout Scale, Core Occupational Stress Scale, and Patient Health Questionnaire-9 were used to evaluate job burnout, job stress, and depressive symptoms. Mann-Whitney U test and Kruskal-Wallis H test were used to compare data between two independent samples and multiple independent samples of measurement data; Pearson χ2 test was used to compare the rate of enumeration data; Spearman rank correlation analysis was used to evaluate correlation between selected variables; binary logistic regression was used for multivariate analysis; stepwise regression and bias-corrected Bootstrap method were used to test potential mediating effect.
    Results A total of 10973 valid questionnaires were collected. The M (P25, P75) scores of exhaustions, cynicism, professional efficacy, job burnout, job stress, and depressive symptoms were 1.6 (0.4, 3.0), 1.0 (0.2, 2.2), 4.8 (3.2, 5.7), 1.6 (0.8, 2.5), 45.0 (40.0, 50.0), and 7.0 (4.0, 11.0), respectively. The positive rates of job burnout, job stress, and depressive symptoms were 53.4% (5865/10973), 28.4% (3116/10973), and 29.4% (3231/10973), respectively. The influencing factors of job burnout were gender (versus male; OR for female=0.852), age (versus≤25 years old; ORs for 26-30, 31-40, 41-50, 51-60 years old=0.824, 0.819, 0.738, 0.677), education level (versus junior high school or below; ORs for senior high school/technical secondary school, junior college/vocational college, graduate school or above=1.119, 1.345, 1.331), income per month (versus<3000 yuan; ORs for 3000-4999, 5000-6999, 7000-8999, 9000-10999, ≥11000 yuan=0.513, 0.470, 0.430, 0.375, 0.411), position (versus assembly line; OR for non-assembly line=0.814), average weekly working hours (versus ≤40 h; ORs for 61-70, >70 h=1.199, 1.519), and drinking (versus non-drinking; OR for drinking=1.261). Job burnout was positively correlated with job stress and depressive symptoms (r=0.556, 0.508, P<0.001). Job burnout played a partial mediating role between job stress and depressive symptoms, and its contribution value accounted for 63.2% of the total effect.
    Conclusion Manufacturing industry employees' job burnout problem is prominent in China, and there are many factors affecting job burnout. Job burnout may play a partial mediating role between job stress and depressive symptoms in the target group.

     

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