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作 者:罗虎 胡丽[2] 王姿欢[2] 孙立庚[2] 沈壮 叶研[2] 刘芬[1] LUO Hu;HU Li;WANG Zi-huan;SUN Li-geng;SHEN Zhuang;YE Yah;LIU Fen(Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing 100069 China;Beijing Center far Disease Control and Prevention, Centers of Preventive Medical Research, Beijing, 100020, China)
机构地区:[1]首都医科大学公共卫生学院流行病与卫生统计学系,北京100069 [2]北京市疾病预防控制中心/北京市预防医学研究中心,北京100020
出 处:《职业与健康》2018年第7期942-945,共4页Occupation and Health
基 金:妇女健康生殖健康和心理健康调查(决策咨询类课题)(FH20151101)
摘 要:目的了解北京市女性医务人员乳腺增生发生状况,并分析其相关影响因素。方法采用横断面调查中整群抽样法,对北京市抽中的3个区的女性医务人员进行问卷调查,并对调查结果进行χ~2检验及logistic多因素回归分析。结果共调查3 230名女性医务人员,其中644人患有乳腺增生,总患病率为19.94%。单因素分析发现,不同年龄、文化程度、婚姻状况、家庭人均收入水平,是否经常加班、经常上夜班、长时间站立、工作负荷大、视屏作业的女性医务人员乳腺增生患病率差异有统计学意义(均P<0.05)。多因素分析发现年龄、长时间站立、工作负荷大、视屏作业4项因素是女性医务人员患乳腺增生的影响因素。结论北京市女性医务人员乳腺增生状况应引起重视,其影响因素主要是年龄、长时间站立、工作负荷大、视屏作业,应在日常工作中加强工作形式和工作状态的调整,做好预防与干预。[Objective]To understand the occurrence of mammary gland hyperplasia among female medical staff in Beijing, and analyze its related influencing factors. [Method] A questionnaire survey was conducted on the female medical staff in three districts of Beijing selected by cluster sampling method, and χ~2 test and logistic regression analysis were used to analyze the results. [Results] A total of 3 230 female medical staff were investigated, and 644 staff had mammary gland hyperplasia, the total prevalence rate was 19.94%. Univariate analysis found that, the differences of prevalence rate of mammary gland hyperplasia among female medical staff with different age, educational level, marital status, family income per capita, regular overtime,frequent night shift, prolonged standing, heavy workload and screen operation were statistically significant(all P〈0.05).Multivariate analysis found that age, prolonged standing, heavy workload and screen operations were the influencing factors of mammary gland hyperplasia among female medical staff. [Conclusion] The situation of mammary gland hyperplasia among female medical staffs in Beijing should be paid attention to, and its influencing factors are age, prolonged standing, heavy workload and screen operation. We should strengthen the adjustment of working form and working condition in daily work, and do well prevention and intervention.
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