ORCID: https://orcid.org/0000-0002-6772-5255; Nowak, Dennis
ORCID: https://orcid.org/0000-0001-7871-8686 und Janssen, Christian
(2024):
A Representative Analysis of Nonparticipation in Workplace Health Promotion in Germany Using Multivariable Methods.
In: International Journal of Public Health, Bd. 69, 1607261
[PDF, 763kB]

Abstract
Objectives: Studies have identified sociodemographic and socioeconomic factors that promote participation in workplace health promotion activities. The present study therefore focuses on what influences nonparticipation within a representative sample of the German population.
Methods: In the analysis of possible factors influencing nonparticipation, company characteristics are accounted for in addition to sociodemographic and health behaviour-related variables. The data used for the analysis are from the GEDA study 2014/2015-EHIS of the Robert Koch Institute in Berlin.
Results: Age largely increased the probability of nonparticipation (OR: between 1.30 and 1.92, p: between <0.001 and 0.033). Other possible influencing factors, such as weight, smoking status, alcohol consumption, exercise status and diet, seemed to play a rather minor role in the present analysis. Self-rated belonging to a certain socioeconomic status group also had a significant influence (OR: 0.76, p: <0.001).
Conclusion: The influencing factors seem to be of a sociodemographic and socioeconomic nature. These determinants should be accounted for to reduce nonparticipation. However, a comparison with current or longitudinal data would be needed to prove to what extent the results are still valid or influenced by a cohort effect.
Dokumententyp: | Zeitschriftenartikel |
---|---|
Keywords: | work health promotion; nonparticipation; determinants; logistic regression; representative sample |
Fakultät: | Medizin > Institut und Poliklinik für Arbeits-, Sozial- und Umweltmedizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
URN: | urn:nbn:de:bvb:19-epub-124342-3 |
ISSN: | 1661-8564 |
Sprache: | Englisch |
Dokumenten ID: | 124342 |
Datum der Veröffentlichung auf Open Access LMU: | 17. Feb. 2025 08:20 |
Letzte Änderungen: | 17. Feb. 2025 08:20 |