Evidence map›Paper›PMID 37466654›Full record

ArticleBundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz2023

[Occupational differences of COVID-19 morbidity and mortality in Germany. An analysis of health insurance data from 3.17 million insured persons].

Morten Wahrendorf, Valerie Schaps, Marvin Reuter, Jens Hoebel, Benjamin Wachtler, Josephine Jacob, Marco Alibone, Nico Dragano

Abstract readEnglish Abstract
In one paragraph

Article in Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
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

8 authors.

Morten WahrendorfInstitut für Medizinische Soziologie, Centre for Health and Society, Medizinische Fakultät und Universitätsklinikum, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland. wahrendorf@uni-duesseldorf.de.
Valerie SchapsInstitut für Medizinische Soziologie, Centre for Health and Society, Medizinische Fakultät und Universitätsklinikum, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland.
Marvin ReuterJuniorprofessur für Soziologie, insb. Arbeit und Gesundheit, Fakultät für Wirtschafts- und Sozialwissenschaften, Otto-Friedrich-Universität Bamberg, Bamberg, Deutschland.
Jens HoebelFachgebiet Soziale Determinanten der Gesundheit, Abteilung für Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, Berlin, Deutschland.
Benjamin WachtlerFachgebiet Soziale Determinanten der Gesundheit, Abteilung für Epidemiologie und Gesundheitsmonitoring, Robert Koch-Institut, Berlin, Deutschland.
Josephine JacobInGef - Institut für angewandte Gesundheitsforschung, Berlin GmbH, Berlin, Deutschland.
Marco AliboneInGef - Institut für angewandte Gesundheitsforschung, Berlin GmbH, Berlin, Deutschland.
Nico DraganoInstitut für Medizinische Soziologie, Centre for Health and Society, Medizinische Fakultät und Universitätsklinikum, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDuring the COVID-19 pandemic, occupation was assumed to play a central role in the occurrence of infection and disease. For Germany, however, there are only a few studies that analyse occupational differences in risk of COVID-19, COVID-19-associated hospitalisation, and mortality.

methodsThe study uses longitudinal health insurance data from the research database of the Institute for Applied Health Research (InGef) with information on 3.17 million insured persons aged 18-67 years (1,488,452 women; 1,684,705 men). Outcomes (morbidity, hospitalisation, and mortality) were determined on the basis of submitted COVID-19 diagnoses between 1 January 2020 and 31 December 2021. Occupations were classified according to four groupings of the official German classification of occupations. In addition to cumulative incidences, relative risks (RR) were calculated - separately for men and women.

resultsThere is an increased risk of disease in personal service occupations, especially in health care, compared to other occupations (RR for women 1.46; for men 1.30). The same applies to social and cultural service occupations (but only for women) and for manufacturing occupations (only for men). In addition, the risks for hospitalisation and mortality are increased for cleaning occupations and transport and logistics occupations (especially for men). For all three outcomes, the risks are higher in non-managerial occupations and differ by skill level (highest for unskilled jobs and lowest for expert positions).

conclusionThe study provides important findings on work- and gender-related differences in COVID-19 morbidity and mortality in Germany, which indicate starting points for structural infection protection measures.

Indexed as

COVID-19Occupational ExposureWorkplaceAdolescentAdultAgedFemaleGermanyHospitalizationHumansInsurance, HealthMaleMiddle AgedMorbidityOccupationsPandemicsCOVID-19GermanyOccupational inequalitiesSARS-CoV‑2Social epidemiology

Identifiers

PMID37466654
PMCPMC10371894

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.