Evidence map›Paper›PMID 33653741›Full record

ArticleBMJ open2021

Safety climate as a predictor of work ability problems in blue-collar workers: prospective cohort study.

Mikkel Brandt, Emil Sundstrup, Lars L Andersen, Ninna Maria Wilstrup, Jeppe Z N Ajslev

Abstract read
In one paragraph

Article in BMJ open, 2021. 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.

Mikkel BrandtNational Research Centre for the Working Environment, Copenhagen, Denmark mbp@nfa.dk.ORCID http://orcid.org/0000-0002-1415-3097
Emil SundstrupNational Research Centre for the Working Environment, Copenhagen, Denmark.
Lars L AndersenNational Research Centre for the Working Environment, Copenhagen, Denmark.
Ninna Maria WilstrupNational Research Centre for the Working Environment, Copenhagen, Denmark.
Jeppe Z N AjslevNational Research Centre for the Working Environment, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate whether safety climate items would be predictive of future physical and mental work ability among blue-collar workers.

methodsBlue-collar workers (n=3822) from the Danish Work Environment and Health study replied to questions on safety climate, physical and mental work ability, and health in 2012 and 2014. Using multivariate logistic regression, we estimated the association of number of safety climate items (0-5) in 2012 with physical and mental work ability in 2014. Potential confounders included sex, age, socioeconomic class, occupational group, lifestyle (smoking habits and body mass index) and previous accidents.

resultsIn the fully adjusted model, workers reporting two and three or more safety climate problems (reference: 0) had higher risk for reduced physical work ability at follow-up (OR 1.29 [95% CI 1.03 to 1.61] and OR 1.52 [95% CI 1.27 to 1.84], respectively). Similar outcomes were observed for mental work ability. Using number of safety climate items as a continuous variable, a doseresponse association existed both for physical and mental work ability (trend-test <0.0001).

conclusionA dose-response association between the number of safety climate items at baseline and lower physical and mental work ability was detected after 2 years. Safety climate items should be highly prioritised in blue-collar companies.

Indexed as

Organizational CultureWork Capacity EvaluationHumansLife StyleOccupationsProspective StudiesWorkplaceepidemiologyhealth & safetymental healthoccupational & industrial medicineorganisational developmentrisk management

Identifiers

PMID33653741
PMCPMC7929880

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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 OpenQuestion graph.