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      To what extent do job insecurity, income satisfaction, and self-rated health mediate the association between low income and presenteeism in Germany? A gendered analysis

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          Abstract

          <p xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" class="first" dir="auto" id="d8325854e69">Low income is considered a possible determinant of presenteeism, explained by poor working and living conditions, increased levels of uncertainties and anxiety, and poor health status. We aimed to examine the association between low income and presenteeism by gender and to explain their association using different mediators. </p>

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          Most cited references39

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          Mediation Analysis: A Practitioner's Guide

          Tyler J. VanderWeele (2016)
          This article provides an overview of recent developments in mediation analysis, that is, analyses used to assess the relative magnitude of different pathways and mechanisms by which an exposure may affect an outcome. Traditional approaches to mediation in the biomedical and social sciences are described. Attention is given to the confounding assumptions required for a causal interpretation of direct and indirect effect estimates. Methods from the causal inference literature to conduct mediation in the presence of exposure-mediator interactions, binary outcomes, binary mediators, and case-control study designs are presented. Sensitivity analysis techniques for unmeasured confounding and measurement error are introduced. Discussion is given to extensions to time-to-event outcomes and multiple mediators. Further flexible modeling strategies arising from the precise counterfactual definitions of direct and indirect effects are also described. The focus throughout is on methodology that is easily implementable in practice across a broad range of potential applications.
          Article 0 comments Cited 621 times – based on 0 reviews     Review now
          Article has an altmetric score of 67
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            Precarious employment: understanding an emerging social determinant of health.

            J Benach, A Vives, M Amable … (2014)
            Employment precariousness is a social determinant that affects the health of workers, families, and communities. Its recent popularity has been spearheaded by three main developments: the surge in "flexible employment" and its associated erosion of workers' employment and working conditions since the mid-1970s; the growing interest in social determinants of health, including employment conditions; and the availability of new data and information systems. This article identifies the historical, economic, and political factors that link precarious employment to health and health equity; reviews concepts, models, instruments, and findings on precarious employment and health inequalities; summarizes the strengths and weaknesses of this literature; and highlights substantive and methodological challenges that need to be addressed. We identify two crucial future aims: to provide a compelling research program that expands our understanding of employment precariousness and to develop and evaluate policy programs that effectively put an end to its health-related impacts.
            Article 0 comments Cited 333 times – based on 0 reviews     Review now
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              Presenteeism in the workplace: A review and research agenda

              Gary Johns (2010)
              Article 0 comments Cited 186 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Timo-Kolja Pförtner: (View ORCID Profile)
                Journal
                Title: International Archives of Occupational and Environmental Health
                Abbreviated Title: Int Arch Occup Environ Health
                Publisher: Springer Science and Business Media LLC
                ISSN (Print): 0340-0131
                ISSN (Electronic): 1432-1246
                Publication date Created: September 2023
                Publication date (Electronic): May 24 2023
                Publication date (Print): September 2023
                Volume: 96
                Issue: 7
                Pages: 999-1008
                Article
                DOI: 10.1007/s00420-023-01982-9
                PubMed ID: 37222824
                SO-VID: f4806b26-c34d-42ce-8487-ff3f5ce20146
                Copyright © © 2023
                License:

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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