Evaluation of exposure data from men and women with the same job title.

K Messing, L Dumais, J Courville, A M Seifert, M Boucher
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Abstract

In the epidemiological approach to occupational cancers, large bodies of data must be analyzed to find rare cases of cancer. The exposure status of workers must therefore be assessed. Inaccuracies will lead to bias toward the null value in certain cases. Job title has often been used as a proxy for exposure status. This study was undertaken to examine content (ie, tasks and activities) associated with job title among men and women in a large Québec municipality. Occupational accident reports were studied for 1589 accidents, and 113 men and women workers were interviewed about job content. Women and men did not seem to have the same accident rates. From interview data, it appeared that women and men with the same job title did not perform the same tasks. Thus, they might have different exposures. The data reported here support caution in using job title to estimate exposure for both genders if the job-exposure matrix has not previously been validated separately by gender. In addition, it may be unwise to adjust relationships between job title and cancer incidence for gender, thus treating gender as a confounder when it may be a proxy for specific exposures.

同一职位的男性和女性的暴露数据评估。
在职业癌症的流行病学方法中,必须分析大量数据以发现罕见的癌症病例。因此,必须评估工人的暴露状况。在某些情况下,不准确性将导致对空值的偏差。职位头衔通常被用作曝光状态的代表。进行这项研究是为了检查曲海一个大城市男女之间与职称有关的内容(即任务和活动)。研究了1589起事故的职业事故报告,并对113名男女工人进行了工作内容访谈。女性和男性的事故率似乎并不相同。从面试数据来看,具有相同职位的女性和男性似乎执行的任务并不相同。因此,他们可能有不同的暴露。这里报告的数据表明,如果工作暴露矩阵之前没有被性别单独验证过,那么使用职位头衔来估计两性的暴露程度是谨慎的。此外,根据性别调整职称和癌症发病率之间的关系可能是不明智的,因此,当性别可能是特定暴露的代理时,将性别视为混杂因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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