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        Working Anytime and Anywhere -Even When Feeling Ill? A Cross-sectional Study on Presenteeism in Remote Work

        Schmitz Henrike,Bauer Jana F.,Niehaus Mathilde 한국산업안전보건공단 산업안전보건연구원 2023 Safety and health at work Vol.14 No.4

        Background: Working despite feeling ill – presenteeism – is a widespread behavioral phenomenon. Previous research has shown that presenteeism is influenced by various work-related and personal factors. It's an illness behavior leading to a range of negative but also positive consequences. Due to coronavirus disease 2019 (COVID-19) pandemic, remote work has become the “new normal” for many employees. But so far, little is known about presenteeism in remote work. This study aims to investigate presenteeism in remote work by looking at the extent of remote presenteeism, differences to presenteeism in on-site work, and associated factors. Methods: A nationwide cross-sectional online survey was conducted in Germany with N = 233 participants. Data were analyzed using descriptive statistics, t-tests, and correlation analysis. Results: The results reveal that presenteeism is prevalent in remote work x̅ = 4.13 days (Md = 3; D = 2; s = 4.95). A low ability to detach from work (r = -.17; p = .005) and low supervisor support (r = -.14; p = .02) is associated with more remote presenteeism days. Remote working conditions seem to facilitate presenteeism. Conclusion: This study provides empirical insights into a subject area of great societal relevance. The results show that awareness should be raised for presenteeism in remote work. It should be regarded as a behavior that can be functional or dysfunctional, depending on the individual situation. Supervisor support and detachment should be fostered to help reduce dysfunctional presenteeism. Promotion of health literacy might help remote workers to decide on a health-oriented illness behavior. Further research is vital to analyze to what extent and under which circumstances presenteeism in remote work is (dys)functional and to derive clear recommendations.

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