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"Academic burnout"

Original Article
The relationship among self-efficacy, perfectionism and academic burnout in medical school students
Ji Hye Yu, Su Jin Chae, Ki Hong Chang
Korean J Med Educ 2016;28(1):49-55.
Published online January 27, 2016
DOI: https://doi.org/10.3946/kjme.2016.9
Purpose
The purpose of this study was to examine the relationship among academic self-efficacy, socially-prescribed perfectionism, and academic burnout in medical school students and to determine whether academic self-efficacy had a mediating role in the relationship between perfectionism and academic burnout.
Methods
A total of 244 first-year and second-year premed medical students and first- to fourth-year medical students were enrolled in this study. As study tools, socially-prescribed perfectionism, academic self-efficacy, and academic burnout scales were utilized. For data analysis, correlation analysis, multiple regression analysis, and hierarchical multiple regression analyses were conducted.
Results
Academic burnout had correlation with socially-prescribed perfectionism. It had negative correlation with academic self-efficacy. Socially-prescribed perfectionism and academic self-efficacy had 54% explanatory power for academic burnout. When socially-prescribed perfectionism and academic self-efficacy were simultaneously used as input, academic self-efficacy partially mediated the relationship between socially-prescribed perfectionism and academic burnout.
Conclusion
Socially-prescribed perfectionism had a negative effect on academic self-efficacy, ultimately triggering academic burnout. This suggests that it is important to have educational and counseling interventions to improve academic self-efficacy by relieving academic burnout of medical school students.

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The relationship between academic self-efficacy and academic burnout in medical students
Su Hyun Lee, Woo Taek Jeon
Korean J Med Educ 2015;27(1):27-35.
Published online March 31, 2015
DOI: https://doi.org/10.3946/kjme.2015.27.1.27
Purpose
The purpose of this study was to examine the correlation between academic burnout and academic self-efficacy in medical students.
Methods
The study group comprised 446 students in years 1 to 4 of medical school. They were asked to rate their academic burnout and academic self-efficacy on a scale. The data were analyzed by multivariate analysis of variance and regression analysis.
Results
Academic self-efficacy was correlated negatively with academic burnout explaining 37% of academic burnout.
Conclusion
Academic self-efficacy (especially self-confidence) had the greatest effect on academic burnout. The implications of these results are discussed in terms of an evaluation and support system for students.

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Academic burnout and selection-optimization-compensation strategy in medical students
Kyung Hee Chun, Young Soon Park, Young Hwan Lee, Seong Yong Kim
Korean J Med Educ 2014;26(4):299-308.
Published online December 1, 2014
DOI: https://doi.org/10.3946/kjme.2014.26.4.299
Purpose
This study was conducted to examine the relationship between academic demand, academic burnout, and the selection-optimization-compensation (SOC) strategy in medical students. Methods: A total of 317 students at Yeungnam University, comprising 90 premedical course students, 114 medical course students, and 113 graduate course students, completed a survey that addressed the factors of academic burnout and the selection-optimization-compensation strategy. We analyzed variances of burnout and SOC strategy use by group, and stepwise multiple regression analysis was conducted. Results: There were significant differences in emotional exhaustion and cynicism between groups and year in school. In the SOC strategy, there were no significant differences between groups except for elective selection. The second-year medical and graduate students experienced significantly greater exhaustion (p<0.001), and first-year premedical students experienced significantly higher cynicism (p<0.001). By multiple regression analysis, subfactors of academic burnout and emotional exhaustion were significantly affected by academic demand (p<0.001), and 46% of the variance was explained. Cynicism was significantly affected by elective selection (p<0.05), and inefficacy was significantly influenced by optimization (p<0.001). Conclusion: To improve adaptation, prescriptive strategies and preventive support should be implemented with regard to academic burnout in medical school. Longitudinal and qualitative studies on burnout must be conducted.

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