Occupational resource profiles for an addressee orientation in occupational health management: a segmentation analysis.

addressee orientation job demands and resources latent profile analysis occupational health literacy occupational health management resource profiles

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2023
Historique:
received: 06 04 2023
accepted: 29 06 2023
medline: 7 8 2023
pubmed: 7 8 2023
entrez: 7 8 2023
Statut: epublish

Résumé

In order to make sustainable decisions in precision prevention and health promotion, it is important to adequately assess people's demands and resources at work. To reach them in an addressee-oriented way, a segmentation of employers and employees based on occupational resources is a promising option. We identified profiles based on personal and perceived organizational resources. Furthermore, we used job demands for profile descriptions to obtain a deeper understanding of the profiles, characterizing people with similar occupational resources. Personal occupational resources (occupational health literacy and self-efficacy) and perceived organizational resources (job decision latitude and participation in health at work) were assessed among employers and employees ( A six-profile solution fitted best to the data based on cluster and profile analyses. One profile was characterized by above-average occupational resources, and another profile was characterized by below-average resources. The other four profiles showed that the individual and perceived organizational resources contrasted. Either organizational resources such as job decision latitude existed and personal resources were not highly developed or people had high individual motivation but few possibilities to participate in health at work. People with medium or high job demands as well as people with low socioeconomic status were most frequently in below-average resource profiles. Employers with high hierarchy levels were overrepresented in the above-average profiles with high organizational resources. Following the segmentation of the addressees, organizations might be supported in identifying needs and areas for prevention and health promotion. Interventions can be optimally developed, tailored, and coordinated through a deeper understanding of job demands and resources. Especially employees with low socioeconomic status and high job demands might profit from an addressee-orientated approach based on resource profiles. For example, employees obtain an overview of their occupational resource profile to recognize the development potential for safe and healthy behavior at work. Follow-up research should be used to examine how this feedback to employers and employees is implemented and how it affects the sustainability of tailored interventions.

Identifiants

pubmed: 37546445
doi: 10.3389/fpsyg.2023.1200798
pmc: PMC10400086
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1200798

Informations de copyright

Copyright © 2023 Friedrich, Münch, Thiel, Voelter-Mahlknecht and Sudeck.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Julian Friedrich (J)

Faculty of Economics and Social Sciences, Institute of Sports Science, University of Tübingen, Tübingen, Germany.

Anne-Kristin Münch (AK)

Institute for Clinical Epidemiology and Applied Biometry, University Hospital and Faculty of Medicine University of Tübingen, Tübingen, Germany.

Ansgar Thiel (A)

Faculty of Economics and Social Sciences, Institute of Sports Science, University of Tübingen, Tübingen, Germany.

Susanne Voelter-Mahlknecht (S)

Institute of Occupational Medicine, Charité-Universitätsmedizin Berlin, Freie Universität, Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

Gorden Sudeck (G)

Faculty of Economics and Social Sciences, Institute of Sports Science, University of Tübingen, Tübingen, Germany.

Classifications MeSH