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All issues Volume 319 (2021) E3S Web Conf., 319 (2021) 01068 References
Open Access
Issue
E3S Web Conf.
Volume 319, 2021
International Congress on Health Vigilance (VIGISAN 2021)
Article Number 01068
Number of page(s) 5
DOI https://doi.org/10.1051/e3sconf/202131901068
Published online 09 November 2021
  1. J. Siegrist. Adverse health effects of high-effort/low-reward conditions. J Occup Health Psychol, vol. 1, no. 1, pp. 27–41, Jan. 1996, DOI: https://doi.org/10.1037//1076-8998.1.1.27 [CrossRef] [PubMed] [Google Scholar]
  2. F. Chapelle. Modèle de Siegrist. Dunod, 2018, pp. 113–117. Available: https://www.cairn.info/risques-psychosociaux-et-qualite-de-vie-au-travail--9782100781447-page-113.htm [Google Scholar]
  3. T. Machado. Reconnaissance au travail. vol. 2e éd. Dunod, 2019, pp. 365–368. [Google Scholar]
  4. M. Lourel and C. Mabire. Le déséquilibre efforts-récompenses et les débordements entre vie au travail, vie privée chez les éleveurs laitiers : leurs effets sur l’épuisement professionnel. Sante Publique, vol. Vol. 20, no. hs, pp. 89–98, Aug. 2008. Available: http://www.cairn.info/revue-sante-publique-2008-hs-page-89.html [CrossRef] [Google Scholar]
  5. M. Vézina, R. Bourbonnais, C. Brisson, and L. Trudel. Définir les risques. Actes de la recherche en sciences sociales, vol. no 163, no. 3, pp. 32–38, Nov. 2006. Available: http://www.cairn.info/journal-actes-de-la-recherche-en-sciences-sociales-2006-3-page-32.htm [Google Scholar]
  6. I. Niedhammer and J. Siegrist. Facteurs psychosociaux au travail et maladies cardio-vasculaires: l’apport du modèle du Déséquilibre Efforts/Récompenses. Rev Epidemiol Sante Publique, vol. 46, no. 5, pp. 398–410, Nov. 1998. Available: https://www.lissa.fr/rep/articles/9864769 [PubMed] [Google Scholar]
  7. P. Légeron. Le stress professionnel. L’information psychiatrique, vol. Volume 84, no. 9, pp. 809–820, 2008. Available: http://www.cairn.info/revue-l-information-psychiatrique-2008-9-page-809.htm [CrossRef] [Google Scholar]
  8. E. Bourgkard, V. Demange, and C. Aubry. L’épidémiologie en santé au travail. INRS, 2004. [Google Scholar]
  9. I. Niedhammer, J. Siegrist, M. F. Landre, M. Goldberg, and A. Leclerc. Étude des qualités psychométriques de la version française du modèle du Déséquilibre Efforts/Récompenses. Rev. Epidém. et Santé Publ, 2000. Masson, Paris. [Google Scholar]
  10. J. Siegrist, D. Starke, T. Chandola, I. Godin, M. Marmot, I. Niedhammer, and R. Peter. The measurement of effort-reward imbalance at work: European comparisons. Social Science & Medicine, vol. 58, no. 8, Art. no. 8, Apr. 2004, DOI: https://doi.org/10.1016/S0277-9536(03)00351-4 [Google Scholar]
  11. J. Siegrist. Chapter 9 - Effort-Reward Imbalance Model. in Stress: Concepts, Cognition, Emotion, and Behavior, G. Fink, Ed. San Diego: Academic Press, 2016, pp. 81–86. DOI: https://doi.org/10.1016/B978-0-12-800951-2.00009-1 [Google Scholar]
  12. M. Estryn-Behar, M.-H. Braudo, C. Fry, and K. Guetarni. Comparative survey of professional burnout among psychiatrists and other specialists in French Public Hospitals (SESMAT Enquiry). L’information psychiatrique, vol. 87, no. 2, Art. no. 2, 2011, DOI: https://doi.org/10.3917/inpsy.8702.0095 [Google Scholar]
  13. M.-A. Doppia, M. Estryn-Béhar, C. Fry, K. Guetarni, and T. Lieutaud. Burnout in French doctors: A comparative study among anaesthesiologists and other specialists in French hospitals (SESMAT study). Annales Françaises d’Anesthésie et de Réanimation, vol. 30, no. 11, Art. no. 11, Nov. 2011, DOI: https://doi.org/10.1016/j.annfar.2011.05.011 [Google Scholar]
  14. M. Estryn-Béhar, B. Van der Heijden, H. Oginksa, D. Camerino, O. Le Nézet, P. M. Conway, C. Fry, and H-M. Hasselhorn. The Impact of Social Work Environment, Teamwork Characteristics, Burnout, and Personal Factors Upon Intent to Leave Among European Nurses. Medical Care, 2007, DOI: https://doi.org/10.1097/MLR.0b013e31806728d8 [Google Scholar]
  15. M. Borritz, R. Rugulies, J. B. Bjorner, E. Villadsen, O. A. Mikkelsen, and T. S. Kristensen, Burnout among employees in human service work: design and baseline findings of the PUMA study. Scandinavian Journal of Public Health, vol. 34, no. 1, Art. no. 1, Jan. 2006, DOI: https://doi.org/10.1080/14034940510032275 [CrossRef] [PubMed] [Google Scholar]
  16. V. Langevin, S. Boini, M. François, and A. Riou. Copenhagen Burnout Inventory (CBI) (Inventaire de burnout de Copenhague). Références en santé au travail - Risques psychosociaux : outils d’évaluation - FRPS 38, 2014. [Google Scholar]
  17. T. S. Kristensen, M. Borritz, E. Villadsen, and K. B. Christensen. The Copenhagen Burnout Inventory: A new tool for the assessment of burnout. Work & Stress, vol. 19, no. 3, pp. 192–207, Jul. 2005, DOI: https://doi.org/10.1080/02678370500297720 [CrossRef] [Google Scholar]
  18. H. Aroui and al. Déséquilibre efforts/récompenses des équipes mobiles d’urgence pré-hospitalière tunisienne. Archives des Maladies Professionnelles et de l’Environnement, vol. 81, no. 5, pp. 623–624, Oct. 2020, DOI: https://doi.org/10.1016/j.admp.2020.03.519 [CrossRef] [Google Scholar]
  19. T. Y. Zaree, J. Nazari, M. Asghary Jafarabadi, and T. Alinia. Impact of Psychosocial Factors on Occurrence of Medication Errors among Tehran Public Hospitals Nurses by Evaluating the Balance between Effort and Reward. Safety and Health at Work, vol. 9, no. 4, pp. 447–453, Dec. 2018, DOI: https://doi.org/10.1016/j.shaw.2017.12.005 [CrossRef] [PubMed] [Google Scholar]
  20. A. Jolivet and al. Linking hospital workers’ organisational work environment to depressive symptoms: A mediating effect of effort–reward imbalance? The ORSOSA study. Social Science & Medicine, vol. 71, no. 3, pp. 534–540, Aug. 2010, DOI: https://doi.org/10.1016/j.socscimed.2010.04.003 [CrossRef] [PubMed] [Google Scholar]
  21. A. Ota and al. Psychosocial job characteristics and insomnia: A prospective cohort study using the Demand-Control-Support (DCS) and Effort–Reward Imbalance (ERI) job stress models. Sleep Medicine, vol. 10, no. 10, pp. 1112–1117, Dec. 2009, DOI: https://doi.org/10.1016/j.sleep.2009.03.005 [CrossRef] [PubMed] [Google Scholar]
  22. J. A. H. Schreuder, C. A. M. Roelen, P. C. Koopmans, B. E. Moen, and J. W. Groothoff. Effort-reward imbalance is associated with the frequency of sickness absence among female hospital nurses: a cross-sectional study. Int J Nurs Stud, vol. 47, no. 5, pp. 569–576, May 2010, DOI: https://doi.org/10.1016/j.ijnurstu.2009.10.002 [CrossRef] [PubMed] [Google Scholar]
  23. A. Omotosho, P. Ayegba, J. Emuoyibofarhe, and C. Meinel. Current State of ICT in Healthcare Delivery in Developing Countries. International Journal of Online and Biomedical Engineering (iJOE), vol. 15, no. 08, p. 91, May 2019, DOI: https://doi.org/10.3991/ijoe.v15i08.10294 [CrossRef] [Google Scholar]
  24. F. Sanfilippo and C. Pacchierotti. A Wearable Haptic System for the Health Monitoring of Elderly People in Smart Cities. International Journal of Online and Biomedical Engineering (iJOE), vol. 14, no. 08, p. 52, Aug. 2018, DOI: https://doi.org/10.3991/ijoe.v14i08.8571 [Google Scholar]
  25. M. M. Abdellatif and W. Mohamed. Telemedicine: An IoT based Remote Healthcare System. International Journal of Online and Biomedical Engineering (iJOE), vol. 16, no. 06, p. 72, May 2020, DOI: https://doi.org/10.3991/ijoe.v16i06.13651 [CrossRef] [Google Scholar]
  26. M. A. Lafraxo, M. Ouadoud, Y. El Madhi, M. Rehali, and A. Soulaymani. Burnout Syndrome Prevention Measures among Nursing Staff: Implementing a Mobile Application based on MIT’s App Inventor Tool using the Scratch Programming Code. International Journal of Online and Biomedical Engineering (iJOE), vol. 17, no. 04, p. 15, April. 2021, DOI: https://doi.org/10.3991/ijoe.v17i04.20393 [Google Scholar]
  27. A. Baharum, S. H. Tanalol, C. Xu Jian, M. Omar, N. A. Mat Noor, and N. M. Mohd Yusop. Stress catcher application for mobile stress monitoring using questionnaire-based. IJEECS, vol. 16, no. 2, p. 917, Nov. 2019, DOI: https://doi.org/10.11591/ijeecs.v16.i2.pp917-924 [CrossRef] [Google Scholar]
  28. M. A. Lafraxo, M. Ouadoud, Y. El Madhi, and A. Soulaymani. Burnout Syndrome among Nursing Staff: Performing Data Analysis using the SPSS Statistic. International Journal of Online and Biomedical Engineering (iJOE), vol. 17, no. 04, p. 11, April. 2021, DOI: https://doi.org/10.3991/ijoe.v17i04.20979 [Google Scholar]

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