Evidence map›Paper›PMID 39703477›Full record

ArticleInternational journal of public health2024

A Representative Analysis of Nonparticipation in Workplace Health Promotion in Germany Using Multivariable Methods.

Birgit Pache, Britta Herbig, Dennis Nowak, Christian Janssen

Abstract read
In one paragraph

Article in International journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Birgit PacheMunich University of Applied Sciences, Munich, Germany.
Britta HerbigInstitute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Dennis NowakInstitute and Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Christian JanssenSociety, Health and Education Research Center/SHE:RC, Munich University of Applied Sciences, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Health PromotionWorkplaceAdultAgedAge FactorsFemaleGermanyHealth BehaviorHumansMaleMiddle AgedOccupational HealthSociodemographic FactorsSocioeconomic Factorsdeterminantslogistic regressionnonparticipationrepresentative samplework health promotion

Identifiers

PMID39703477
PMCPMC11655221

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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.