[An investigation and analysis of abnormal menstruation in female nurses in a hospital in Beijing, China]

Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi. 2018 Jun 20;36(6):429-432. doi: 10.3760/cma.j.issn.1001-9391.2018.06.008.
[Article in Chinese]

Abstract

Objective: To investigate the status of abnormal menstruation in female nurses in a comprehensive hospital in Beijing, China and related influencing factors. Methods: In July 2016, a cross-sectional survey was performed, and a self-administered questionnaire was used to investigate the status of menstruation and occupation in female nurses in a comprehensive hospital in Beijing. The chi-square test and a multivariate logistic regression analysis were used for statistical analysis. Results: A total of 892 female nurses were investigated, and among them, 485 experienced abnormal menstruation within the past three months, resulting in an abnormal menstruation rate of 54.37%. The female nurses who were exposed to harmful factors during work, negative life events, or high workload had a significantly higher abnormal menstruation rate than those who were not exposed to such factors (χ(2)=5.199, 16.186, and 10.227, P<0.05 or P<0.01) . Negative life events (odds ratio [OR]=1.813, 95% confidence interval[CI]: 1.317-2.496) and high workload (OR=1.461, 95%CI: 1.112-1.918) were risk factors for abnormal menstruation. Conclusion: Nurses have an abnormal menstruation rate as high as 54.37%, and high workload and negative life events were risk factors for abnormal menstruation in nurses.

目的: 了解北京市某综合性医院女性护士月经异常状况,分析影响因素。 方法: 于2016年7月,采用横断面调查研究方法,通过自填式调查问卷对北京市某综合性医院女性护士的月经状况和职业情况等进行调查。对调查数据采用卡方检验、多元Logistic回归方法进行统计分析。 结果: 调查女性护士892人,其中近三个月出现月经异常者共485人,月经异常率54.37%。工作接触职业相关有害因素、近3个月遭遇负向生活事件、工作负荷大的护士月经异常率高于非接触者(χ(2)=5.199、16.186、10.227,P<0.05、P<0.01)。遭遇负向生活事件(OR=1.813,95%CI:1.317~2.496)和工作负荷大(OR=1.461,95% CI:1.112~1.918)为月经异常的危险因素。 结论: 临床科室护士月经异常率较高,为54.37%,工作负荷大和遭遇负向生活事件是护士发生月经异常的危险因素。.

Keywords: Abnormal menstruation; Nurse; Workload.

MeSH terms

  • China
  • Cross-Sectional Studies
  • Female
  • Humans
  • Menstruation / physiology*
  • Nursing Staff, Hospital / statistics & numerical data*
  • Surveys and Questionnaires
  • Workload*