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从多个独立研究中开发汇总的职业物理暴露数据集:腕管综合征联合研究的一个实例

Developing a pooled job physical exposure data set from multiple independent studies: an example of a consortium study of carpal tunnel syndrome.

作者信息

Bao Stephen S, Kapellusch Jay M, Garg Arun, Silverstein Barbara A, Harris-Adamson Carisa, Burt Susan E, Dale Ann Marie, Evanoff Bradley A, Gerr Frederic E, Hegmann Kurt T, Merlino Linda A, Thiese Matthew S, Rempel David M

机构信息

Safety and Health Assessment and Research for Prevention (SHARP) Program, Washington State Department of Labor and Industries, Olympia, Washington, USA.

Department of Occupational Science & Technology, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.

出版信息

Occup Environ Med. 2015 Feb;72(2):130-7. doi: 10.1136/oemed-2014-102396. Epub 2014 Dec 10.

Abstract

BACKGROUND

Six research groups independently conducted prospective studies of carpal tunnel syndrome (CTS) incidence in 54 US workplaces in 10 US States. Physical exposure variables were collected by all research groups at the individual worker level. Data from these research groups were pooled to increase the exposure spectrum and statistical power.

OBJECTIVE

This paper provides a detailed description of the characteristics of the pooled physical exposure variables and the source data information from the individual research studies.

METHODS

Physical exposure data were inspected and prepared by each of the individual research studies according to detailed instructions provided by an exposure subcommittee of the research consortium. Descriptive analyses were performed on the pooled physical exposure data set. Correlation analyses were performed among exposure variables estimating similar exposure aspects.

RESULTS

At baseline, there were a total of 3010 participants in the pooled physical exposure data set. Overall, the pooled data meaningfully increased the spectra of most exposure variables. The increased spectra were due to the wider range in exposure data of different jobs provided by the research studies. The correlations between variables estimating similar exposure aspects showed different patterns among data provided by the research studies.

CONCLUSIONS

The increased spectra of the physical exposure variables among the data pooled likely improved the possibility of detecting potential associations between these physical exposure variables and CTS incidence. It is also recognised that methods need to be developed for general use by all researchers for standardisation of physical exposure variable definition, data collection, processing and reduction.

摘要

背景

六个研究小组在美国10个州的54个工作场所独立开展了关于腕管综合征(CTS)发病率的前瞻性研究。所有研究小组均在个体工人层面收集了身体暴露变量。这些研究小组的数据被汇总起来,以扩大暴露范围并提高统计效力。

目的

本文详细描述了汇总后的身体暴露变量的特征以及各个研究的源数据信息。

方法

每个独立研究根据研究联盟的暴露小组委员会提供的详细说明,对身体暴露数据进行检查和整理。对汇总后的身体暴露数据集进行描述性分析。对估计相似暴露方面的暴露变量进行相关性分析。

结果

在基线时,汇总后的身体暴露数据集中共有3010名参与者。总体而言,汇总后的数据显著增加了大多数暴露变量的范围。范围的增加归因于各研究提供的不同工作的更广泛暴露数据。在各研究提供的数据中,估计相似暴露方面的变量之间的相关性呈现出不同模式。

结论

汇总数据中身体暴露变量范围的增加可能提高了检测这些身体暴露变量与CTS发病率之间潜在关联的可能性。还认识到需要开发所有研究人员通用的方法,以实现身体暴露变量定义、数据收集、处理和简化的标准化。

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