Evidence map›Paper›PMID 33779781›Full record

ArticleInternational archives of occupational and environmental health2021

Gender composition in occupations and branches and medically certified sick leave: a prospective population study.

Ulrik Lidwall

Abstract read
In one paragraph

Article in International archives of occupational and environmental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Trial
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  10. Chronic noncommunicable diseases and absenteeism from work: National Survey of Health, 2019.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2024
    Article
  11. 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

1 author.

Ulrik LidwallDivision of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden. ulrik.lidwall@ki.se.ORCID http://orcid.org/0000-0001-7259-7166

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate whether gender-segregated occupations and branches are associated with future medically certified sick leave for women and men.

methodsAll gainfully employed residents in Sweden in December 31st 2014 aged 16-69 years (n = 4 473 964) were identified in national registers. Subjects working in segregated (61-90%) and extremely segregated (> 90%) occupations and branches were evaluated v/s subjects in gender-integrated occupations and branches (40-60%). Combinations of segregation by occupation and branch were also investigated. Two-year prospective medically certified sick leaves (> 14 days) were evaluated using logistic regression with odds ratios recalculated to relative risks (RR), adjusted for work, demographic and health related factors.

resultsThe sick leave risk was higher for those working in extremely female-dominated occupations (women RR 1.06 and men RR 1.13), and in extremely female-dominated branches (women RR 1.09 and men RR 1.12), and for men in extremely male-dominated branches (RR 1.04). The sick leave risk was also higher for both women and men in female-dominated occupations regardless of the gender segregation in the branch they were working in. However, the differences in sick leave risks associated with gender segregation were considerably smaller than the differences between occupations and branches in general.

conclusionsGender segregation in occupations and branches play a role for sick leave among women and men, especially within extremely female-dominated occupations and branches. However, gender segregation appears to be subordinate to particular occupational hazards faced in diverse occupations and branches.

Indexed as

Sex DistributionAdolescentAdultAgedFemaleHumansMaleMiddle AgedOccupationsProspective StudiesSick LeaveSwedenYoung AdultBranchesGender compositionOccupationsSick leave

Identifiers

PMID33779781
PMCPMC8384792

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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.