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年轻女性夜班工作者乳腺癌症状问卷的效度及其与乳腺超声检查的关系

Validity of Breast Cancer Symptom Questionnaire and Its Relationship With Breast Ultrasonography in Young Female Night Workers.

作者信息

Chae Chang-Ho

机构信息

Department of Occupational and Environmental Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, 158, Paryong-ro, Masanhoewon-gu, Changwon-si, Gyeongsangnam-do, 51353, Republic of Korea.

出版信息

Saf Health Work. 2020 Sep;11(3):361-366. doi: 10.1016/j.shaw.2020.04.008. Epub 2020 May 7.

Abstract

BACKGROUND

This study aimed to identify the validity of breast cancer symptom questionnaire of worker's special health examination and its relationship with breast ultrasonography findings in young female night workers.

METHODS

The breast cancer symptom questionnaire data of worker's special health examination and breast ultrasonography results in young female shift workers who worked in one electronic manufacture company were collected from 2014 to 2018.

RESULTS

Of the 857 workers, 18 had a Breast Imaging Reporting and Database System category 4 or higher. Among other variables, shift work tenure alone was associated with the risk of having a Breast Imaging Reporting and Database System category higher than 4. The sensitivity, specificity, positive predictive value, and negative predictive value of the symptom questionnaire were 16.7%, 87.7%, 2.8%, and 98.0%, respectively.

CONCLUSION

The current breast cancer symptom questionnaire of the worker's special health examination is inappropriate due to its low sensitivity and positive predictive value. In the future, female night workers will need alternative measures for more accurate screening for breast cancer.

摘要

背景

本研究旨在确定职工特殊健康检查中乳腺癌症状问卷的有效性及其与年轻女性夜班工人乳房超声检查结果的关系。

方法

收集了2014年至2018年在一家电子制造公司工作的年轻女性轮班工人的职工特殊健康检查乳腺癌症状问卷数据和乳房超声检查结果。

结果

在857名工人中,18人乳腺影像报告和数据系统分类为4类或更高。在其他变量中,仅轮班工作年限与乳腺影像报告和数据系统分类高于4类的风险相关。症状问卷的敏感性、特异性、阳性预测值和阴性预测值分别为16.7%、87.7%、2.8%和98.0%。

结论

目前职工特殊健康检查中的乳腺癌症状问卷由于其低敏感性和阳性预测值而不合适。未来,女性夜班工人将需要替代措施来更准确地筛查乳腺癌。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b2d4/7502608/298223b7dab9/gr1.jpg

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