Rubak Tine Steen, Svendsen Susanne Wulff, Andersen Johan Hviid, Haahr Jens Peder Lind, Kryger Ann, Jensen Lone Donbæk, Frost Poul
Department of Occupational Medicine, Slagelse Hospital, Ingemannsvej 18, 4200 Slagelse, Denmark.
BMC Musculoskelet Disord. 2014 Jun 13;15:204. doi: 10.1186/1471-2474-15-204.
When conducting large scale epidemiologic studies, it is a challenge to obtain quantitative exposure estimates, which do not rely on self-report where estimates may be influenced by symptoms and knowledge of disease status. In this study we developed a job exposure matrix (JEM) for use in population studies of the work-relatedness of hip and knee osteoarthritis.
Based on all 2227 occupational titles in the Danish version of the International Standard Classification of Occupations (D-ISCO 88), we constructed 121 job groups comprising occupational titles with expected homogeneous exposure patterns in addition to a minimally exposed job group, which was not included in the JEM. The job groups were allocated the mean value of five experts' ratings of daily duration (hours/day) of standing/walking, kneeling/squatting, and whole-body vibration as well as total load lifted (kg/day), and frequency of lifting loads weighing ≥20 kg (times/day). Weighted kappa statistics were used to evaluate inter-rater agreement on rankings of the job groups for four of these exposures (whole-body vibration could not be evaluated due to few exposed job groups). Two external experts checked the face validity of the rankings of the mean values.
A JEM was constructed and English ISCO codes were provided where possible. The experts' ratings showed fair to moderate agreement with respect to rankings of the job groups (mean weighted kappa values between 0.36 and 0.49). The external experts agreed on 586 of the 605 rankings.
The Lower Body JEM based on experts' ratings was established. Experts agreed on rankings of the job groups, and rankings based on mean values were in accordance with the opinion of external experts.
在开展大规模流行病学研究时,获取不依赖自我报告的定量暴露估计值是一项挑战,因为自我报告的估计值可能会受到症状和疾病状态知晓情况的影响。在本研究中,我们开发了一种工作暴露矩阵(JEM),用于髋关节和膝关节骨关节炎与工作相关性的人群研究。
基于《国际职业分类标准》丹麦版(D - ISCO 88)中的所有2227个职业头衔,我们构建了121个工作群组,这些群组包含具有预期均匀暴露模式的职业头衔,此外还构建了一个最低暴露工作群组,该群组未包含在JEM中。为这些工作群组分配了五位专家对站立/行走、跪/蹲和全身振动的每日时长(小时/天)以及总举升负荷(千克/天)和举升重量≥20千克的负荷频率(次/天)的评分均值。加权kappa统计量用于评估四位专家对这些暴露中工作群组排名的评分者间一致性(由于暴露工作群组较少,无法评估全身振动)。两位外部专家检查了均值排名的表面效度。
构建了一个JEM,并尽可能提供了英文ISCO代码。专家评分在工作群组排名方面显示出中等程度的一致性(平均加权kappa值在0.36至0.49之间)。外部专家对605个排名中的586个达成了一致。
基于专家评分的下肢JEM得以建立。专家们对工作群组的排名达成了一致,基于均值的排名与外部专家的意见相符。