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Reliability of O*NET physical exposures between Italian and US databases
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10 2022
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Source: Am J Ind Med. 65(10):790-799
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Alternative Title:Am J Ind Med
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Personal Author:
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Description:Background:
Comparison between cross-national job-exposure matrices (JEMs) may provide indications on their reliability, particularly if created using the same items. This study evaluated concordance between two JEMs created from United States (US) and Italian O*NET data, using job codes linked through international job codes.
Methods:
21 physical exposures were obtained from the US and Italian O*NET databases. Italian O*NET items were direct translations of US O*NET items. 684 US and 586 Italian job codes were linked via crosswalks to 281 ISCO-08 job codes. A sensitivity study also assessed concordance on 258 jobs matched one to one across the two national job classifications. Concordance of US and Italian O*NET exposures was estimated by Intraclass Correlation Coefficients (ICC) in multilevel models adjusted and not adjusted for country.
Results:
ICCs showed moderate to poor agreement for all physical exposures in jobs linked through ISCO-08 codes. There was good to moderate agreement for 14 out of 21 exposures in models with one-to-one matched jobs between countries; greater agreement was found in all models adjusted for country. Exposure to whole-body vibration, time standing, and working outdoor exposed to weather showed the highest agreement.
Conclusions:
These results showed moderate to good agreement for most physical exposures across the two JEMs when US and Italian jobs were matched one-to-one and the analysis was adjusted for country. Job code assignments through crosswalks and differences in exposure levels between countries might greatly influence the observed cross-country agreement. Future multinational epidemiological studies should consider the quality of the cross-national job matching, and potential cross-national differences in exposure levels.
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Pubmed ID:35985834
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Pubmed Central ID:PMC9463122
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Volume:65
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Issue:10
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[PDF-108.79 KB]
