Physical work exposure matrix for use in the UK Biobank

作者：Elizabeth L. Yanik, Martin Stevens, E Clare Harris, Karen Walker‐Bone, Ann Marie Dale, Yinjiao Ma, Graham A. Colditz, Bradley Evanoff · 发表于：Occupational Medicine · 年份：2021 · DOI：10.1093/occmed/kqab173 · 被引用次数：18 · 研究领域：Occupational and environmental lung diseases、Workplace Health and Well-being、Occupational exposure and asthma

BACKGROUND: UK Biobank (UKB) is a large prospective cohort capturing numerous health outcomes, but limited occupational information (job title, self-reported manual work and occupational walking/standing). AIMS: To create and evaluate validity of a linkage between UKB and a job exposure matrix for physical work exposures based on the US Occupational Information Network (O*NET) database. METHODS: Job titles and UK Standard Occupational Classification (SOC) codes were collected during UKB baseline assessment visits. Using existing crosswalks, UK SOC codes were mapped to US SOC codes allowing linkage to O*NET variables capturing numerous dimensions of physical work. Job titles with the highest O*NET scores were assessed to evaluate face validity. Spearman's correlation coefficients were calculated to compare O*NET scores to self-reported UKB measures. RESULTS: Among 324 114 participants reporting job titles, 323 936 were linked to O*NET. Expected relationships between scores and self-reported measures were observed. For static strength (0-7 scale), the median O*NET score was 1.0 (e.g. audiologists), with a highest score of 4.88 for stone masons and a positive correlation with self-reported heavy manual work (Spearman's coefficient = 0.50). For time spent standing (1-5 scale), the median O*NET score was 2.72 with a highest score of 5 for cooks and a positive correlation with self-reported occupational walking/standing (Spearman's coefficient = 0.56). CONCLUSIONS: While most jobs ...