Evidence map›Paper›PMID 35985834›Full record

ArticleAmerican journal of industrial medicine2022

Reliability of O*NET physical exposures between Italian and US databases.

Angelo d'Errico, Francesca Gallo, Bradley A Evanoff, Alexis Descatha, Ann M Dale

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Angelo d'ErricoEpidemiology Department, Local Health Unit TO3, Grugliasco, Italy.ORCID 0000-0003-3171-413X
Francesca GalloNational Institute of Statistics, ISTAT, Rome, Italy.ORCID 0000-0003-3390-8755
Bradley A EvanoffSchool of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0003-0085-333X
Alexis DescathaInserm, Irset UMR1085 Equipe Ester, Université d'Angers, d'Angers, France.ORCID 0000-0001-6028-3186
Ann M DaleSchool of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0002-5624-8967

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
DEVELOPING A GENERAL POPULATION JOB EXPOSURE MATRIX FOR STUDIES OF WORK-RELATED MSDR01OH011076 · OH · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2016 to 2018
$988k
NCATS NIH HHS UL1 TR002345NIOSH CDC HHS R01 OH011076
6 · The paper itself

Abstract

backgroundComparison between cross-national job-exposure matrices (JEMs) may provide indications of 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.

methodsTwenty-one physical exposures were obtained from the US and Italian O*NET databases. Italian O*NET items were direct translations of US O*NET items. Six hundred and eighty-four 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.

resultsICCs 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.

conclusionsThese 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.

Indexed as

Occupational ExposureHumansJob DescriptionOccupationsReproducibility of ResultsUnited Statesconcordancecross-national comparisonergonomic factorsjob-exposure matrixwork

Identifiers

PMID35985834
PMCPMC9463122

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