Evidence map›Paper›PMID 36834326›Full record

Observational studyInternational journal of environmental research and public health2023

Occupational Risk Factors by Sectors: An Observational Study of 20,000 Workers.

Luther Dogbla, Cédric Gouvenelle, Florence Thorin, François-Xavier Lesage, Marek Zak, Ukadike Chris Ugbolue, Barbara Charbotel, Julien S Baker, Bruno Pereira, Frédéric Dutheil

Abstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

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  7. Observational
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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

10 authors.

Luther DogblaPhysiological and Psychosocial Stress, CNRS UMR 6024, LaPSCo, University Clermont Auvergne, CHU Clermont-Ferrand, Occupational Medicine, 63000 Clermont-Ferrand, France.ORCID 0000-0001-5166-557X
Cédric GouvenelleOccupational Health Service of Cher (APST18), 18000 Bourges, France.ORCID 0000-0002-6646-6933
Florence ThorinOccupational Health Service of Cher (APST18), 18000 Bourges, France.
François-Xavier LesageIDESP, INSERM, CHU Montpellier, University Montpellier, 34000 Montpellier, France.ORCID 0000-0002-9012-7923
Marek ZakFaculty of Medicine and Health Sciences, Institute of Physiotherapy, The Jan Kochanowski University, 25-369 Kielce, Poland.ORCID 0000-0003-0881-9232
Ukadike Chris UgbolueSchool of Health and Life Sciences, Institute for Clinical Exercise & Health Science, University of the West of Scotland, Glasgow G72 0LH, UK.ORCID 0000-0002-6640-4126
Barbara CharbotelUMRESTTE, Domaine Rockefeller, University Lyon 1, 69373 Lyon, France.ORCID 0000-0001-8805-6225
Julien S BakerCentre for Health and Exercise Science Research, Hong Kong Baptist University, Hong Kong 999077, China.ORCID 0000-0002-9093-7897
Bruno PereiraClinical Research and Innovation Direction, CHU Clermont-Ferrand, 63000 Clermont-Ferrand, France.ORCID 0000-0003-3778-7161
Frédéric DutheilPhysiological and Psychosocial Stress, CNRS UMR 6024, LaPSCo, University Clermont Auvergne, CHU Clermont-Ferrand, Occupational Medicine, WittyFit, 63001 Clermont-Ferrand, France.ORCID 0000-0002-1468-6029

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to assess the prevalence of exposure by sector and the sectors of activity most exposed to each exposure, using routine occupational health data, and to quantify the risk of being exposed.

methodOccupational risk factors were assessed by workers followed by the Occupational Health Service of Cher, using self-reported questionnaires. The sectors of activity were grouped into seven sectors, and the risks were grouped into six occupational exposure groups. Comparisons were made using the Chi-squared test and Cramer's V, and the odds ratios were calculated by using logistic regression.

resultsWe included 19,891 workers. The construction sector had the highest prevalence (

conclusionPsychosocial risk factors were commonly reported in all sectors. Workers in the construction, human health, and social sectors seem to report more exposures than those in other sectors. The analysis of occupational exposures is a necessary basis to build an efficient preventive strategy for occupational health.

Indexed as

Occupational DiseasesOccupational ExposureHumansLogistic ModelsRisk FactorsSelf ReportSurveys and Questionnairesoccupational healthprevalencesectors of activitywork exposure

Identifiers

PMID36834326
PMCPMC9967294

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.