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某油田修井作业工人工作相关肌肉骨骼疾患及影响因素分析 被引量:7

The prevalence and influencing factors of work-related musculoskeletal disorders of oilfield workover workers
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摘要 目的调查某油田修井作业工人工作相关肌肉骨骼疾患(WMSDs)情况,探讨其影响因素。方法于2016年6月,选取685名修井作业工人为作业工组,接触有毒有害作业的其他工种191人作为对照组。采用自制调查表进行横断面调查,并采用非条件多元logistic回归分析,肌肉骨骼疾患的影响因素。结果修井作业工的WMSDs总的年患病率为90.5%,其中腰背痛患病率最高71.5%。WMSDs患病率随工龄增加而增加,饮酒者高于不饮酒者,差异均具有统计学意义(P〈0.05)。多元Logistic回归分析结果显示,工龄、饮酒、搬抬重物姿势为修井作业工人WMSDs发生的危险因素。结论修井作业工人WMSDs较严重,企业应针对危险因素采取相应措施,有效预防控制疾病发生。 Objective To investigate work-related musculoskeletal disorders (WMSDs) of workover workers in an oilfield and explore the influencing factors. Methods In June 2016, 685 workover workers were selected as working group, and 191 other workers exposed to toxic and harmful operations were selected as control group. Cross sectional investigation was conducted by self-made questionnaire, and the influencing factors of musculoskeletal disorders were analyzed by unconditional multivariate Logistic regression. Results The total annual prevalence of WMSDs for workover workers was 90.5%, with the highest prevalence of low back pain of 71.5%. The prevalence of WMSDs increased with the increase of service age, and the difference between the drinkers was higher than that of the non drinkers(P〈0.05 ). Multivariate Logistic regression analysis showed that working age, drinking and the posture of lifting heavy objects were risk factors for WMSDs in workover workers. Conclusion The WMSDs appears to be a serious problem in oilfield workover workers. Corresponding measures should be taken to prevent the risk factors and control the occurrence of diseases effectively.
作者 王晓梅 张放 李长松 吴洪涛 邹建芳 Wang Xiaomei;Zhang Fang;Li Changsong;Wu Hongtao;Zou Jianfang(Shengli Oilfield Center for Disease Control and Prevention ,Dongying 257000, Chin)
出处 《中华劳动卫生职业病杂志》 CAS CSCD 北大核心 2018年第6期425-428,共4页 Chinese Journal of Industrial Hygiene and Occupational Diseases
基金 胜利油田2016年科技进步计划(GKY1603),山东省重点研发计划(2016GSF201233)
关键词 工作相关肌肉骨骼疾患 影响因素 油田工人 职业卫生 Work-related musculoskeletal disorders Influential factors Oilfield workers Occupational health
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