The DOI matches its Crossref record; 156 of the 156 references it cites were found in a registry or an index.
Work Stress and Employee Health: A Multidisciplinary Review
Abstract
Research examining the relationship between work stress and well-being has flourished over the past 20 years. At the same time, research on physiological stress processes has also advanced significantly. One of the major advances in this literature has been the emergence of the Allostatic Load model as a central organizing theory for understanding the physiology of stress. In this article, the Allostatic Load model is used as an organizing framework for reviewing the vast literature that has considered health outcomes that are associated with exposure to psychosocial stressors at work. This review spans multiple disciplines and includes a critical discussion of management and applied psychology research, epidemiological studies, and recent developments in biology, neuroendocrinology, and physiology that provide insight into how workplace experiences affect well-being. The authors critically review the literature within an Allostatic Load framework, with a focus on primary (e.g., stress hormones, anxiety and tension) and secondary (e.g., resting blood pressure, cholesterol, body mass index) mediators, as well as tertiary disease end points (e.g., cardiovascular disease, depression, mortality). Recommendations are provided for how future research can offer deeper insight into primary Allostatic Load processes that explain the effects of workplace experiences on mental and physical well-being.
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Cited by
Common method bias: It’ s bad, it’ s complex, it’ s widespread, and it’ s not easy to fix
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Metadata
- Authors
- Ganster, D. C., & Rosen, C. C.
- Venue
- Journal of Management
- Publisher
- SAGE Publications
- Published
- 2013-02-19
- Volume
- 39
- Issue
- 5
- Pages
- 1085-1122
- ISSN
- 0149-2063 (ISSN-L)
- 1557-1211
- OpenAlex
- W2105012109
- Cited by
- 831
- References
- 156
- FWCI
- 66.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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