Evidence map›Paper›PMID 40782059›Full record

ArticleScandinavian journal of work, environment & health2025

Can pre-existing medical conditions explain occupational differences in COVID-19 disease severity? An analysis of 3.17 million people insured in Germany.

Robert Guţu, Valerie Schaps, Benjamin Wachtler, Florian Beese, Jens Hoebel, Marco Alibone, Morten Wahrendorf

Abstract read
In one paragraph

Article in Scandinavian journal of work, environment & health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Robert GuţuInstitute of Medical Sociology, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine University Düsseldorf, Moorenstraße 5, 40225 Düsseldorf, Germany. r.gutu@hhu.de.
Valerie Schaps
Benjamin Wachtler
Florian Beese
Jens Hoebel
Marco Alibone
Morten Wahrendorf

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOccupational differences in COVID-19 are well documented, but the empirical evidence on potential reasons for these differences remains limited. Possible reasons include pre-existing health conditions. This study investigated occupational differences in COVID-19 disease severity and whether they can be attributed to pre-existing health conditions.

methodsOur study used German health insurance data covering 3.17 million insured individuals (age 18-67 years), with details on COVID-19-related hospitalization and mortality in 2020 and 2021, information on occupation (regrouped into four classifications) and pre-existing health conditions (divided into seven disease groups). In addition to descriptive statistics, we estimated multivariable Cox regression models with varying sets of adjustments.

resultsWe found clear occupational differences in COVID-19 hospitalization and mortality, with the highest risks for the production sector (especially manufacturing), commercial services (especially cleaning) and for low-skilled occupations. These findings persisted after adjusting for age, sex, and region, and also after mutual adjustment for other occupational classifications. We also found some evidence that the association between occupation and disease severity was partly explained by pre-existing conditions, especially in the case of low skill levels.

conclusionsOur findings provide support for occupational differences in COVID-19, where the occupational classifications under study were independently related to risk differences (eg, skill-level and job sector). Furthermore, we provide empirical evidence that differences by occupational skill levels are partly due to pre-existing conditions. This finding suggests that occupational inequalities in health increased during the pandemic, with those with poorer health who worked in disadvantaged occupations also being more likely to experience severe COVID-19 outcomes.

Indexed as

COVID-19OccupationsAdolescentAdultAgedFemaleGermanyHospitalizationHumansMaleMiddle AgedSARS-CoV-2Severity of Illness IndexYoung Adult

Identifiers

PMID40782059
PMCPMC12412139

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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.