Open Access
E3S Web Conf.
Volume 319, 2021
International Congress on Health Vigilance (VIGISAN 2021)
Article Number 02026
Number of page(s) 6
Section Methods, Tools and Techniques in Health Vigilance
Published online 24 November 2021
  1. H.-J. Yang, ‘Factors affecting student burnout and academic achievement in multiple enrollment programs in Taiwan’s technical–vocational colleges’, International Journal of Educational Development, vol. 24, no. 3, pp. 283–301, May 2004, doi: 10.1016/j.ijedudev.2003.12.001. [Google Scholar]
  2. W. B. Schaufeli, I. M. Martínez, A. M. Pinto, M. Salanova, and A. B. Bakker, ‘Burnout and Engagement in University Students: A Cross-National Study’, Journal of Cross-Cultural Psychology, vol. 33, no. 5, pp. 464–481, Sep. 2002, doi: 10.1177/0022022102033005003. [Google Scholar]
  3. Y. Babenko-Mould and H. K. S. Laschinger, ‘Effects of Incivility in Clinical Practice Settings on Nursing Student Burnout’, International Journal of Nursing Education Scholarship, vol. 11, no. 1, pp. 145–154, Jan. 2014, doi: 10.1515/ijnes-2014-0023. [Google Scholar]
  4. J. H. Yu, S. J. Chae, and K. H. Chang, ‘The relationship among self-efficacy, perfectionism and academic burnout in medical school students’, Korean J Med Educ, vol. 28, no. 1, pp. 49–55, Jan. 2016, doi: 10.3946/kjme.2016.9. [Google Scholar]
  5. O. Koropets, A. Fedorova, and I. Kacane, ‘EMOTIONAL AND ACADEMIC BURNOUT OF STUDENTS COMBINING EDUCATION AND WORK’, Palma, Spain, Jul. 2019, pp. 8227–8232, doi: 10.21125/edulearn.2019.2038. [Google Scholar]
  6. S.-S. Shih, ‘An Examination of Academic Coping Among Taiwanese Adolescents’, The Journal of Educational Research, vol. 108, no. 3, pp. 175–185, May 2015, doi: 10.1080/00220671.2013.867473. [Google Scholar]
  7. S. J. Lee, Y. J. Choi, and H. Chae, ‘The effects of personality traits on academic burnout in Korean medical students’, Integrative Medicine Research, vol. 6, no. 2, pp. 207–213, Jun. 2017, doi: 10.1016/j.imr.2017.03.005. [Google Scholar]
  8. C. Faye-Dumanget, J. Carré, M. Le Borgne, and Pr. A. H. Boudoukha, ‘French validation of the Maslach Burnout Inventory-Student Survey (MBI-SS)’, J Eval Clin Pract, vol. 23, no. 6, pp. 1247–1251, Dec. 2017, doi: 10.1111/jep.12771. [Google Scholar]
  9. C. Faye-Dumanget, J. Belleil, M. Blanche, M. Marjolet, and A.-H. Boudoukha, ‘L’épuisement académique chez les étudiants: effet des variables sociodémographiques sur les niveaux de burn-out’, Annales Médico-psychologiques, revue psychiatrique, vol. 176, no. 9, pp. 870–874, Nov. 2018, doi: 10.1016/j.amp.2017.09.012. [Google Scholar]
  10. Z. Rostami, M. R. Abedi, W. B. Schaufeli, S. A. Ahmadi, and A. H. Sadeghi, ‘The Psychometric Characteristics of Maslach Burnout Inventory Student Survey: Among Students of Isfahan University’, p. 4. [Google Scholar]
  11. M. S. Carlotto and S. G. Câmara, ‘Características psicométricas do Maslach Burnout Inventory – Student Survey (MBI-SS) em estudantes universitários brasileiros’, vol. 11, no. 2, p. 8, 2006. [Google Scholar]
  12. Q. Hu and W. B. Schaufeli, ‘The Factorial Validity of the Maslach Burnout Inventory–Student Survey in China’, Psychol Rep, vol. 105, no. 2, pp. 394–408, Oct. 2009, doi: 10.2466/PR0.105.2.394-408. [Google Scholar]
  13. M. Ilic, Z. Todorovic, M. Jovanovic, and I. Ilic, ‘Burnout Syndrome Among Medical Students at One University in Serbia: Validity and Reliability of the Maslach Burnout Inventory—Student Survey’, Behavioral Medicine, vol. 43, no. 4, pp. 323–328, Oct. 2017, doi: 10.1080/08964289.2016.1170662. [Google Scholar]
  14. H. Shin, A. Puig, J. Lee, J. H. Lee, and S. M. Lee, ‘Cultural validation of the Maslach Burnout Inventory for Korean students’, Asia Pacific Educ. Rev., vol. 12, no. 4, pp. 633–639, Dec. 2011, doi: 10.1007/s12564-011-9164-y. [Google Scholar]
  15. L. J. Cronbach, ‘Coefficient alpha and the internal structure of tests’, Psychometrika, vol. 16, no. 3, pp. 297–334, Sep. 1951, doi: 10.1007/BF02310555. [Google Scholar]
  16. G. Yavuz and N. Dogan, ‘Maslach Burnout Inventory-Student Survey (MBI-SS): A Validity Study’, Procedia - Social and Behavioral Sciences, vol. 116, pp. 2453–2457, Feb. 2014, doi: 10.1016/j.sbspro.2014.01.590. [Google Scholar]
  17. T. Tsubakita and K. Shimazaki, ‘Constructing the Japanese version of the Maslach Burnout Inventory-Student Survey: Confirmatory factor analysis: MBI-SS in Japan’, Japan Journal of Nursing Science, vol. 13, no. 1, pp. 183–188, Jan. 2016, doi: 10.1111/jjns.12082. [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.