Open Access
Issue
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
Article Number 07025
Number of page(s) 10
Section Regions and Economic Resilience
DOI https://doi.org/10.1051/shsconf/20219207025
Published online 13 January 2021
  1. Hassard, J., Teoh, K. R., Visockaite, G., Dewe, P., & Cox, T. (2018). The cost of work-related stress to society: A systematic review. Journal of Occupational Health Psychology, 23(1), 1-17. [CrossRef] [Google Scholar]
  2. Faragher, E. B., Cass, M., & Cooper, C. L. (2013). The relationship between job satisfaction and health: a meta-analysis. In From Stress to Wellbeing Volume 1 (pp. 254-271). Palgrave Macmillan, London. [CrossRef] [Google Scholar]
  3. Paoli, P. (1992). First European survey on the work environment 1991-1992. European Foundation for the improvement of living and working conditions. [Google Scholar]
  4. Kenny D.T., Carlson J.G., McGuigan F.J., et al (2003). Stress and health: research and clinical applications. Amsterdam: Harwood Academic Publishers, 2000. [Google Scholar]
  5. Lichtenthaler, P. W., & Fischbach, A. (2019). A meta-analysis on promotion-and prevention-focused job crafting. European Journal of Work and Organizational Psychology, 28(1), 30-50. [CrossRef] [Google Scholar]
  6. Peltzer, K., Shisana, O., Zuma, K., Van Wyk, B., & Zungu‐Dirwayi, N. (2009). Job stress, job satisfaction and stress‐related illnesses among South African educators. Stress and Health. Journal of the International Society for the Investigation of Stress, 25(3), 247-257. [CrossRef] [Google Scholar]
  7. Taouk, Y., LaMontagne, A. D., Spittal, M. J., & Milner, A. (2020). Psychosocial work stressors and risk of mortality in Australia: analysis of data from the Household, Income and Labour Dynamics in Australia survey. Occupational and Environmental Medicine, 77(4), 256-264. [CrossRef] [Google Scholar]
  8. Bartoll, X., & Ramos, R. (2020). Worked hours, job satisfaction and self-perceived health. Journal of Economic Studies. [Google Scholar]
  9. Liang, D., & Xu, D. (2020). Health‐related quality of life in Chinese rural‐to‐urban migrants: Investigating the roles of working conditions and job satisfaction. Journal of Community Psychology, 48(8), 2663-2677. [CrossRef] [Google Scholar]
  10. Theorell, T. (2020). The Demand Control Support Work Stress Model. Handbook of Socioeconomic Determinants of Occupational Health: From Macro-level to Micro-level Evidence, 1-15. [Google Scholar]
  11. Amiri, S., & Behnezhad, S. (2020). Job strain and mortality ratio: a systematic review and meta-analysis of cohort studies. Public Health, 181, 24-33. [CrossRef] [Google Scholar]
  12. Deding, U., Ejlskov, L., Grabas, M. P. K., Nielsen, B. J., Torp-Pedersen, C., & Bøggild, H. (2016). Perceived stress as a risk factor for peptic ulcers: a register-based cohort study. BMC gastroenterology, 16(1), 140. [CrossRef] [Google Scholar]
  13. Lin, P. Y., Wang, J. Y., Shih, D. P., Kuo, H. W., & Liang, W. M. (2019). The interaction effects of burnout and job support on peptic ulcer disease (PUD) among firefighters and policemen. International Journal of Environmental Research and Public Health, 16(13), 2369. [CrossRef] [Google Scholar]
  14. Choi, Y. I., Chung, J. W., Kim, K. O., Kwon, K. A., Kim, Y. J., & Park, D. K. (2020). Effect of work‑related factors on the prevalence of peptic ulcer disease among Korean workers: a nationwide population‑based study. International Archives of Occupational and Environmental Health, 93, 965-973. [CrossRef] [Google Scholar]
  15. Lavigne-Robichaud, M., Trudel, X., Duchaine, C. S., Milot, A., Gilbert-Ouimet, M., Vézina, M., ... & Brisson, C. (2019). Job strain and the prevalence of uncontrolled hypertension among white-collar workers. Hypertension Research, 42(10), 1616-1623. [CrossRef] [Google Scholar]
  16. Mendy, V. L., Vargas, R., Ogungbe, O., & Zhang, L. (2020). Hypertension among Mississippi Workers by Sociodemographic Characteristics and Occupation, Behavioral Risk Factor Surveillance System. International Journal of Hypertension, 2020. [Google Scholar]
  17. Cho, Y. S., Lee, S., Yoon, J. H., Lee, J., Park, J. B., Lee, K. J., & Jeong, I. (2020). Short rest between shifts and risk of hypertension in hospital workers. Journal of Hypertension, 38(2), 211-217. [CrossRef] [Google Scholar]
  18. Niedhammer, I., Milner, A., Geoffroy-Perez, B., Coutrot, T., LaMontagne, A. D., & Chastang, J. F. (2020). Psychosocial work exposures of the job strain model and cardiovascular mortality in France: results from the STRESSJEM prospective study. Scandinavian Journal of Work, Environment & Health, 46(5), 542-551. [CrossRef] [Google Scholar]
  19. Taouk, Y., Spittal, M. J., LaMontagne, A. D., & Milner, A. J. (2020). Psychosocial work stressors and risk of all-cause and coronary heart disease mortality: A systematic review and meta-analysis. Scandinavian Journal of Work, Environment & Health, 46(1), 19-31. [CrossRef] [Google Scholar]
  20. Padyab, M., Blomstedt, Y., & Norberg, M. (2014). No association found between cardiovascular mortality, and job demands and decision latitude: Experience from the Västerbotten Intervention Programme in Sweden. Social Science & Medicine, 117, 58-66. [CrossRef] [Google Scholar]
  21. Börsch-Supan, A. (2017). Survey of Health, Ageing and Retirement in Europe (SHARE) Wave 6. Release version: 6.0. 0. SHARE-ERIC, editor. [Google Scholar]
  22. Fernandez-Crehuet, J. M., Rosales-Salas, J., & de Ramos, S. (2019). State of health in the European Union: A European health index. Journal of Healthcare Quality Research, 34(6), 308-313. [CrossRef] [Google Scholar]
  23. Lihm, H. S., Park, S. H., Gong, E. H., Choi, J. S., & Kim, J. W. (2012). Relationship between occupational stress and gastric disease in male workers. Korean Journal of Family Medicine, 33(5), 311. [CrossRef] [Google Scholar]
  24. Pfister, I. B., Jacobshagen, N., Kälin, W., & Semmer, N. K. (2020). How does appreciation lead to higher job satisfaction?. Journal of Managerial Psychology, 35(6), 465-479. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.