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Stress and job satisfaction over time, the influence of the managerial position: A bivariate longitudinal modelling of Wittyfit data

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  • Rémi Colin-Chevalier
  • Frédéric Dutheil
  • Amanda Clare Benson
  • Samuel Dewavrin
  • Thomas Cornet
  • Céline Lambert
  • Bruno Pereira

Abstract

Background: The managerial position affects stress and job satisfaction of workers, but these influences have always been studied separately. Objective: We aimed to assess bivariate influence of the managerial position on workers’ stress and job satisfaction and the inter-relationship of these indicators over time. Methods: We have analyzed data from workers who use the Wittyfit software, collected annually between 2018 and 2021. Stress and job satisfaction were evaluated by self-report questionnaires. Job position (manager or employee) was provided by the software’s client companies. Results: Data of 704 workers were included in the study. Cross-sectional and longitudinal multivariate analyses revealed that managerial position improves job satisfaction (p

Suggested Citation

  • Rémi Colin-Chevalier & Frédéric Dutheil & Amanda Clare Benson & Samuel Dewavrin & Thomas Cornet & Céline Lambert & Bruno Pereira, 2024. "Stress and job satisfaction over time, the influence of the managerial position: A bivariate longitudinal modelling of Wittyfit data," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-14, March.
  • Handle: RePEc:plo:pone00:0298126
    DOI: 10.1371/journal.pone.0298126
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    References listed on IDEAS

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    1. Saziye Gazioglu & Aysit Tansel, 2006. "Job satisfaction in Britain: individual and job related factors," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1163-1171.
    2. Jones, Melanie K. & Latreille, Paul L. & Sloane, Peter J. & Staneva, Anita V., 2013. "Work-related health risks in Europe: Are older workers more vulnerable?," Social Science & Medicine, Elsevier, vol. 88(C), pages 18-29.
    3. Rémi Colin-Chevalier & Frédéric Dutheil & Sébastien Cambier & Samuel Dewavrin & Thomas Cornet & Julien Steven Baker & Bruno Pereira, 2022. "Methodological Issues in Analyzing Real-World Longitudinal Occupational Health Data: A Useful Guide to Approaching the Topic," IJERPH, MDPI, vol. 19(12), pages 1-20, June.
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