Evidence map›Paper›PMID 30894424›Full record

ArticleOccupational and environmental medicine2019

Cross-national comparison of two general population job exposure matrices for physical work exposures.

Bradley Evanoff, Marcus Yung, Skye Buckner-Petty, Matthew Baca, Johan Hviid Andersen, Yves Roquelaure, Alexis Descatha, Ann Marie Dale

Abstract readComparative Study
In one paragraph

Article in Occupational and environmental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Occupational demands associated with rotator cuff disease surgery in the UK Biobank.Scandinavian journal of work, environment & health · 2023
    Article
  5. Article
  6. Consideration of sex and gender in Alzheimer's disease and related disorders from a global perspective.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2022
    Article
  7. Article
  8. Physical work exposure matrix for use in the UK Biobank.Occupational medicine (Oxford, England) · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Article
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

8 authors.

Bradley EvanoffDivision of General Medical Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Marcus YungDivision of General Medical Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Skye Buckner-PettyDivision of General Medical Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Matthew BacaDivision of General Medical Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Johan Hviid AndersenDepartment of Occupational Medicine, Danish Ramazzini Centre, Regional Hospital West Jutland, University Research Clinic, Herning, Denmark.
Yves RoquelaureINSERM, U1085, IRSET (Institute de recherché en santé, environnement et travail), ESTER Team, University of Angers, Angers, France.ORCID 0000-0001-6918-0909
Alexis Descatha *INSERM, U1085, IRSET (Institute de recherché en santé, environnement et travail), ESTER Team, University of Angers, Angers, France.ORCID 0000-0001-6028-3186
Ann Marie Dale *Division of General Medical Sciences, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.

Funding

ACL HHS R01OH011076NIOSH CDC HHS R01 OH011076
6 · The paper itself

Abstract

objectivesJob exposure matrices (JEMs) are increasingly used to estimate physical workplace exposures. We conducted a cross-national comparison of exposure estimates from two general population JEMs to aid the interpretation of exposure-outcome associations across countries and to explore the feasibility of cross-national application of JEMs to provide workplace physical exposure estimates.

methodsWe compared physical exposure estimates from two general population JEMs created from the French

resultsAll variable pairs measuring similar physical exposures demonstrated positive correlations. Among the 50 matched pairs, 33 showed high correlation (ρ≥0.70) and 46 showed at least moderate agreement (κ≥0.41). Exposures expected to be mutually exclusive (manual work vs office work) showed strongly negative correlations.

conclusionsFrench and American general population physical exposure JEMs were related, sharing moderate to high association and moderate to substantial agreement between the majority of variable pairs measuring similar exposures. These findings will inform cross-national comparisons of study results and support some uses of general population JEMs outside their countries of origin.

Indexed as

ErgonomicsFranceHumansMusculoskeletal DiseasesOccupational ExposureOccupational HealthOccupationsUnited StatesWorkplacebiomechanical exposure assessmentepidemiologyergonomicsmusculoskeletal disorders

Identifiers

PMID30894424
PMCPMC6703148

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.