dc.contributor.author
Rommel, Alexander
dc.contributor.author
Varnaccia, Gianni
dc.contributor.author
Lahmann, Nils
dc.contributor.author
Kottner, Jan
dc.contributor.author
Kroll, Lars Eric
dc.date.accessioned
2018-06-08T03:33:45Z
dc.date.available
2016-03-21T12:59:23.759Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/15453
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-19641
dc.description.abstract
Unintentional injuries cause much of the global mortality burden, with the
workplace being a common accident setting. Even in high-income economies,
occupational injury figures remain remarkably high. Because risk factors for
occupational injuries are prone to confounding, the present research takes a
comprehensive approach. To better understand the occurrence of occupational
injuries, sociodemographic factors and work- and health-related factors are
tested simultaneously. Thus, the present analysis aims to develop a
comprehensive epidemiological model that facilitates the explanation of
varying injury rates in the workplace. The representative phone survey German
Health Update 2010 provides information on medically treated occupational
injuries sustained in the year prior to the interview. Data were collected on
sociodemographics, occupation, working conditions, health-related behaviors,
and chronic diseases. For the economically active population (18–70 years, n =
14,041), the 12-month prevalence of occupational injuries was calculated with
a 95% confidence interval (CI). Blockwise multiple logistic regression was
applied to successively include different groups of variables. Overall, 2.8%
(95% CI 2.4–3.2) of the gainfully employed population report at least one
occupational injury (women: 0.9%; 95% CI 0.7–1.2; men: 4.3%; 95% CI 3.7–5.0).
In the fully adjusted model, male gender (OR 3.16) and age 18–29 (OR 1.54), as
well as agricultural (OR 5.40), technical (OR 3.41), skilled service (OR 4.24)
or manual (OR 5.12), and unskilled service (OR 3.13) or manual (OR 4.97)
occupations are associated with higher chances of occupational injuries. The
same holds for frequent stressors such as heavy carrying (OR 1.78), working in
awkward postures (OR 1.46), environmental stress (OR 1.48), and working under
pressure (OR 1.41). Among health-related variables, physical inactivity (OR
1.47) and obesity (OR 1.73) present a significantly higher chance of
occupational injuries. While the odds for most work-related factors were as
expected, the associations for health-related factors such as smoking,
drinking, and chronic diseases were rather weak. In part, this may be due to
context-specific factors such as safety and workplace regulations in high-
income countries like Germany. This assumption could guide further research,
taking a multi-level approach to international comparisons.
en
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit
dc.title
Occupational Injuries in Germany
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
PLoS ONE. - 11 (2016), 2, Artikel Nr. e0148798
dc.title.subtitle
Population-Wide National Survey Data Emphasize the Importance of Work-Related
Factors
dcterms.bibliographicCitation.doi
10.1371/journal.pone.0148798
dcterms.bibliographicCitation.url
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0148798
refubium.affiliation
Charité - Universitätsmedizin Berlin
de
refubium.mycore.fudocsId
FUDOCS_document_000000024199
refubium.note.author
Der Artikel wurde in einer Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000006153
dcterms.accessRights.openaire
open access