Physical work exposure matrix for use in the UK biobank
Physical work exposure matrix for use in the UK biobank
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 were not physically demanding, a wide range of physical work values were assigned to a diverse set of jobs. This novel linkage of a job exposure matrix to UKB provides a potentially valuable tool for understanding relationships between occupational exposures and disease.
132-141
Yanik, Elizabeth L.
b5f579f3-a527-468a-826e-6a3744b56878
Stevens, Martin
6ed230b2-7eaa-478b-80f7-ea75234bb76f
Harris, E. Clare
3e4bd946-3f09-45a1-8725-d35e80dd7971
Walker-Bone, Karen
ad7d1336-ed2c-4f39-ade5-da84eb412109
Dale, Ann Marie
4fb85d5e-be17-499d-b5b7-aa54ec658c22
Ma, Yinjao
efe04fa1-acc3-4d6b-ad34-a2a62403331e
Colditz, Graham A
ef4d5121-7343-496f-8e9e-5acb81a86ea4
Evanoff, Bradley
62fb3afe-a5ae-4421-8f86-0da7d879b464
22 February 2022
Yanik, Elizabeth L.
b5f579f3-a527-468a-826e-6a3744b56878
Stevens, Martin
6ed230b2-7eaa-478b-80f7-ea75234bb76f
Harris, E. Clare
3e4bd946-3f09-45a1-8725-d35e80dd7971
Walker-Bone, Karen
ad7d1336-ed2c-4f39-ade5-da84eb412109
Dale, Ann Marie
4fb85d5e-be17-499d-b5b7-aa54ec658c22
Ma, Yinjao
efe04fa1-acc3-4d6b-ad34-a2a62403331e
Colditz, Graham A
ef4d5121-7343-496f-8e9e-5acb81a86ea4
Evanoff, Bradley
62fb3afe-a5ae-4421-8f86-0da7d879b464
Yanik, Elizabeth L., Stevens, Martin, Harris, E. Clare, Walker-Bone, Karen, Dale, Ann Marie, Ma, Yinjao, Colditz, Graham A and Evanoff, Bradley
(2022)
Physical work exposure matrix for use in the UK biobank.
Occupational Medicine, 72 (2), .
(doi:10.1093/occmed/kqab173).
Abstract
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 were not physically demanding, a wide range of physical work values were assigned to a diverse set of jobs. This novel linkage of a job exposure matrix to UKB provides a potentially valuable tool for understanding relationships between occupational exposures and disease.
Text
FINAL ACCEPTED Yanik et al 5.11.21
- Accepted Manuscript
More information
Accepted/In Press date: 4 November 2021
e-pub ahead of print date: 20 December 2021
Published date: 22 February 2022
Identifiers
Local EPrints ID: 452119
URI: http://eprints.soton.ac.uk/id/eprint/452119
ISSN: 0962-7480
PURE UUID: 0c001d7a-807a-4b50-9c59-ed5b2c41db07
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Date deposited: 25 Nov 2021 16:31
Last modified: 17 Mar 2024 06:56
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Contributors
Author:
Elizabeth L. Yanik
Author:
E. Clare Harris
Author:
Ann Marie Dale
Author:
Yinjao Ma
Author:
Graham A Colditz
Author:
Bradley Evanoff
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