Washington University School of Medicine, Division of General Medical Sciences, 660 S. Euclid Avenue, Saint Louis, MO 63110, USA.
Occup Environ Med. 2010 Aug;67(8):538-47. doi: 10.1136/oem.2008.044339. Epub 2010 Apr 21.
To evaluate the agreement between job-title based estimates for upper extremity physical work exposures and exposure estimates from work observation and worker self-report.
Self-reported exposure questionnaires were completed by 972 workers, and exposure estimates based on worksite observation were completed for a subset of 396 workers. Job-title based estimates were obtained from O*NET, an American database of job demands. Agreement between self-reported, observed and job-title based physical work exposures was assessed using Spearman correlations and intraclass correlation coefficients.
Job-title based exposure estimates from O*NET, self-reported and observer-rated exposures showed moderate to good levels of agreement for some upper extremity exposures, including lifting, forceful grip, use of vibrating tools and wrist bending.
Job-title based physical work exposure variables may provide useful surrogate measures of upper extremity exposure data in the absence of other individual level data such as observed or self-reported exposure. Further validation of these data is necessary to determine the utility of the O*NET databases in future epidemiological studies.
评估基于职务的上肢体力工作暴露估计值与工作观察和工人自我报告暴露估计值之间的一致性。
972 名工人完成了自我报告的暴露问卷,其中 396 名工人完成了基于工作场所观察的暴露估计。职务相关的估计值来自美国工作需求数据库 O*NET。使用 Spearman 相关系数和组内相关系数评估自我报告、观察和职务相关体力工作暴露之间的一致性。
O*NET、自我报告和观察者评定的职务相关暴露估计值在某些上肢暴露方面显示出中度至高度一致性,包括举重、用力握力、使用振动工具和手腕弯曲。
在缺乏其他个体水平数据(如观察或自我报告的暴露)的情况下,基于职务的体力工作暴露变量可能提供有用的上肢暴露数据的替代测量值。需要进一步验证这些数据,以确定 O*NET 数据库在未来流行病学研究中的效用。