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高彩虹, 吴燕萍, 郭支喜, 郭红梅, 李秀萍, 王晓成, 宋平平, 朱婷娟, 余红梅. 煤矿接尘工人工作倦怠及影响因素分析[J]. 中国公共卫生, 2012, 28(4): 469-470. DOI: 10.11847/zgggws2012-28-04-21
引用本文: 高彩虹, 吴燕萍, 郭支喜, 郭红梅, 李秀萍, 王晓成, 宋平平, 朱婷娟, 余红梅. 煤矿接尘工人工作倦怠及影响因素分析[J]. 中国公共卫生, 2012, 28(4): 469-470. DOI: 10.11847/zgggws2012-28-04-21
GAO Cai-hong, WU Yan-ping, GUO Zhi-xi, . Job burnout and its influencing factors among coal dust exposed workers[J]. Chinese Journal of Public Health, 2012, 28(4): 469-470. DOI: 10.11847/zgggws2012-28-04-21
Citation: GAO Cai-hong, WU Yan-ping, GUO Zhi-xi, . Job burnout and its influencing factors among coal dust exposed workers[J]. Chinese Journal of Public Health, 2012, 28(4): 469-470. DOI: 10.11847/zgggws2012-28-04-21

煤矿接尘工人工作倦怠及影响因素分析

Job burnout and its influencing factors among coal dust exposed workers

  • 摘要: 目的 了解煤矿接尘工人工作倦怠情况及影响因素。方法 采用Maslach职业倦怠问卷通用版(MBI-GS)对山西7个煤矿2 055名煤矿接尘工人进行问卷调查。结果 工作单位规模大,井下工作时间长,接尘工龄长,每天接尘时间长,工作倦怠越严重(P<0.05)。多因素分析结果显示:耗竭的预测变量主要有工作疲劳程度(b'=0.188,P<0.001)、呼吸道症状(b'=0.134,P<0.001)、对单位福利满意度(b'=0.124,P<0.001)、工作社会地位(b'=0.116,P<0.001)等;疏离的预测变量主要为有工作社会地位(b'=0.157,P<0.001)、对单位福利满意度(b'=0.151,P<0.001)、接尘工龄(b'=0.112,P<0.001)、每天接尘时间(b'=0.093,P<0.001)等;无效能感的预测变量主要有个人月收入(b'=-0.096,P<0.001)、工作单位规模(b'=0.095,P<0.001)、参与休闲娱乐的机会(b'=-0.082,P<0.001)等。结论 可针对相关主要影响因素,改善煤矿接尘工人的工作现状,以缓解其工作倦怠。

     

    Abstract: Objective To explore the status of job burnout and its influential factors among coal dust exposed workers.Methods Maslach Burnout Inventory-General Survey(MBI-GS) was used to investigate 2 055 coal dust exposed workers.Results Workers in larger coal mines,with longer duration of underground work,longer dust-exposed duration,and longer dust-exposed time per day had much more heavy burnout(P< 0.05).The predictor variables of exhaustion included job fatigue(std b=0.188,P< 0.001),respiratory symptoms(std b=0.134,P< 0.001),benefits satisfaction (std b=0.124,P< 0.001),and social status of the job(std b=0.116,P< 0.001).The predictor variables of cynicism were social status of the job(std b=0.157,P< 0.001),benefits satisfaction (std b=0.151,P< 0.001),exposure years (std b=0.112,P< 0.001),and exposure time per day(std b=0.093,P< 0.001).The predictive variables of professional inefficacy were monthly personal income(std b=-0.096,P< 0.001),size of the firm (std b=0.095,P< 0.001),and opportunities to participate in recreation(std b=-0.082,P< 0.001).Conclusion To relieve job burnout of dust exposed coal mines workers,current work situations should be improved according to the main influencing factors.

     

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