Evidence map›Paper›PMID 35679301›Full record

ArticlePloS one2022

Occupational stress in industry setting in Benin 2019: A cross-sectional study.

Mênonli Adjobimey, Vikkey Hinson, Rose Mikponhoué, Esdras Hountohotegbe, Elvyre Klikpo, Ibrahim Mama Cissé, Amelée Adjogou, Véronique Dossougbété, Jonathon R Campbell, Paul Ayélo and 1 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Mênonli AdjobimeyDoctoral School of Health Sciences of Cotonou, Cotonou, Benin.ORCID 0000-0002-1051-8546
Vikkey HinsonResearch and Teaching Unit in Occupational and Environmental Health, University of Abomey-Calavi, Cotonou, Benin.
Rose MikponhouéResearch and Teaching Unit in Occupational and Environmental Health, University of Abomey-Calavi, Cotonou, Benin.
Esdras HountohotegbeOccupational Health Department of the National University Hospital of Pneumo-Phtisiology of Cotonou, Cotonou, Benin.
Elvyre KlikpoFaculty of Health Sciences of Cotonou, University of Abomey-Calavi, Cotonou, Littoral, Benin.
Ibrahim Mama CisséFaculty of Health Medicine, University of Parakou, Cotonou, Benin.
Amelée AdjogouResearch and Teaching Unit in Occupational and Environmental Health, University of Abomey-Calavi, Cotonou, Benin.
Véronique DossougbétéFaculty of Health Sciences of Cotonou, University of Abomey-Calavi, Cotonou, Littoral, Benin.
Jonathon R CampbellDepartment of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada.ORCID 0000-0003-2341-2166
Paul AyéloResearch and Teaching Unit in Occupational and Environmental Health, University of Abomey-Calavi, Cotonou, Benin.
Dismand HouinatoDoctoral School of Health Sciences of Cotonou, Cotonou, Benin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOccupational stress is a psychosocial risk in the workplace. Working conditions in industrial settings may lead to occupational stress. In Benin, however, there is little epidemiological data on occupational stress in industrial settings. We aimed to determine the prevalence and factors associated with occupational stress in industrial settings in Benin in 2019.

methodsThis was a prospective, cross-sectional study conducted from January 31 to April 11, 2019, among 15 cotton ginning plants. Sampling was exhaustive for permanent workers and stratified in clusters by shift for occasional cotton gin workers. Data were collected through Karasek and Siegrist questionnaires. Data analysis was performed using R software. Binary multivariable logistic regression was performed. The significance level was p < 0.05.

resultsOf 1883 workers included, 90.8% were male. The median age was 38 years (IQR: 28 years to 49 years). The prevalence of occupational stress was 77.7% (95% CI: 75.8-79.6). Psychological demand was high in 93.0% of workers and 83.9% had low decision latitude. Among the workers, 16.3% had low social support and 89.9% had a low recognition score at work. Factors associated with occupational stress were: being an occasional vs. permanent worker (aOR 6.43, 95% CI 4.18 to 9.88); age less than 38 years (aOR 0.55, 95% CI 0.41 to 0.76); high intensity physical activity at work (aOR 1.33, 95% CI 1.03 to 1.73); working in production vs. administration (aOR 1.59, 95% CI 1.03 to 2.45); spending fewer than 4 years at the current work location (aOR 1.60, 95% CI 1.05 to 2.44); and scoring low for recognition at work (aOR 1.53, 95% CI 1.04 to 2.23). Noise exposure and being a shift worker were significant in univariable analysis, but not multivariable analysis.

conclusionOccupational stress is very common among workers in industrial settings. The implementation and evaluation of preventive measures against these risk factors is necessary.

Indexed as

Occupational ExposureOccupational StressAdultBeninCross-Sectional StudiesFemaleHumansIndustryMalePrevalenceProspective StudiesSurveys and Questionnaires

Identifiers

PMID35679301
PMCPMC9182257

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.