Evidence map›Paper›PMID 36498290›Full record

ArticleInternational journal of environmental research and public health2022

How to Use Biomechanical Job Exposure Matrices with Job History to Access Work Exposure for Musculoskeletal Disorders? Application of Mathematical Modeling in Severe Knee Pain in the Constances Cohort.

Guillaume Deltreil, Patrick Tardivel, Piotr Graczyk, Mikael Escobar-Bach, Alexis Descatha

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 42% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Occupational Risk Factors by Sectors: An Observational Study of 20,000 Workers.International journal of environmental research and public health · 2023
    Observational
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 at 2 institutions in 2 countries.

Guillaume DeltreilUniv. Angers, CHU Angers, Univ. Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)-UMRS 1085, SFR ICAT, 49100 Angers, France.ORCID 0000-0001-7041-5533
Patrick TardivelUMR 5584 CNRS, Université de Bourgogne Franche-Comté, 21078 Dijon, France.
Piotr GraczykCNRS, LAREMA, SFR MATHSTIC, Université d'Angers, 49100 Angers, France.
Mikael Escobar-BachCNRS, LAREMA, SFR MATHSTIC, Université d'Angers, 49100 Angers, France.
Alexis DescathaUniv. Angers, CHU Angers, Univ. Rennes, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail)-UMRS 1085, SFR ICAT, 49100 Angers, France.ORCID 0000-0001-6028-3186
Centre National de la Recherche Scientifique · FRNorthwell Health · US

Funding

Angers Loire Métropole tec-topCentre Hospitalier Universitaire d'Angers tec-topCentre Pays de la Loire tec-topUniversity of Angers tec-top
6 · The paper itself

Abstract

introductionMusculoskeletal disorders related to work might be caused by the cumulative effect of occupational exposures during working life. We aimed to develop a new model which allows to compare the accuracy of duration of work and intensity/frequency associations in application to severe knee pain.

methodsFrom the CONSTANCES cohort, 62,620 subjects who were working at inclusion and coded were included in the study. The biomechanical job exposure matrix "JEM Constances" was used to assess the intensity/frequency of heavy lifting and kneeling/squatting at work together with work history to characterize the association between occupational exposure and severe knee pain. An innovative model G was developed and evaluated, allowing to compare the accuracy of duration of work and intensity/frequency associations.

resultsThe mean age was 49 years at inception with 46 percent of women. The G model developed was slightly better than regular models. Among the men subgroup, odds ratios of the highest quartile for the duration and low intensity were not significant for both exposures, whereas intensity/duration were for every duration. Results in women were less interpretable.

conclusionsThough higher duration increased strength of association with severe knee pain, intensity/frequency were important predictors among men. Exposure estimation along working history should have emphasis on such parameters, though other outcomes should be studied and have a focus on women.

Indexed as

Musculoskeletal DiseasesOccupational DiseasesOccupational ExposureFemaleHumansKnee JointMaleMiddle AgedOdds RatioPainlifecoursemathematical modelingmusculoskeletaloccupationalpain

Identifiers

PMID36498290
PMCPMC9740575
OpenAlexW4311519719

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.