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

Developing a pooled job physical exposure data set from multiple independent studies: an example of a consortium study of carpal tunnel syndrome.
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DOI:
10.1136/oemed-2014-102396
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发表时间:
2015-02
影响因子:
4.9
通讯作者:
Rempel DM
Rempel DM
中科院分区:
医学2区
文献类型:
--
作者:
Bao SS;Kapellusch JM;Garg A;Silverstein BA;Harris-Adamson C;Burt SE;Dale AM;Evanoff BA;Gerr FE;Hegmann KT;Merlino LA;Thiese MS;Rempel DM

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六个研究小组独立地对美国10个州的54个工作场所的腕管综合征(CTS)发病率进行了前瞻性研究。身体暴露变量由所有研究小组在个体工人水平上收集。来自这些研究小组的数据被汇集在一起,以增加暴露光谱和统计能力。本文详细描述了汇集的物理暴露变量的特点和来自个别研究的来源数据信息。每个单独的研究研究都根据研究联盟的暴露小组委员会提供的详细说明检查和准备物理暴露数据。对汇集的物理暴露数据集进行描述性分析。在评估相似暴露方面的暴露变量之间进行相关性分析。在基线时,共有3010名受试者在汇集的物理暴露数据集中。总体而言,汇集的数据显著增加了大多数暴露变量的光谱。光谱的增加是由于研究提供的不同工作的暴露数据范围更广。评估相似暴露方面的变量之间的相关性在研究提供的数据中显示出不同的模式。在汇集的数据中,物理暴露变量的光谱增加可能改善了检测这些物理暴露变量与CTS发病率之间潜在关联的可能性。还认识到,需要为所有研究人员制定普遍使用的方法,以实现物理照射变量定义、数据收集、处理和减少的标准化。
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. 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. Physical exposure data were inspected and prepared by each of the individual research studies according to detailed instructions provided by an exposure sub-committee of the research consortium. Descriptive analyses were performed on the pooled physical exposure dataset. Correlation analyses were performed among exposure variables estimating similar exposure aspects. At baseline, there were a total of 3010 subjects in the pooled physical exposure dataset. 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. 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 recognized that methods need to be developed for general use by all researchers for standardization of physical exposure variable definition, data collection, processing and reduction.