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Original Study
| Published: October 12, 2023
Personality Traits as A Correlate of Academic Burnout among Undergraduate Medical Students
Bachelors Student, Department of Psychology and Mental Health, School of Humanity and Social Sciences (SOHSS), Gautam Buddha University, Greater Noida, UP Google Scholar More about the auther
Assistant Professor, Department of Psychology and Mental Health, School of Humanity and Social Sciences (SOHSS), Gautam Buddha University, Greater Noida, UP Google Scholar More about the auther
DIP: 18.01.019.20231104
DOI: 10.25215/1104.019
ABSTRACT
This study investigated the relationship between personality traits and academic burnout among undergraduate medical students. Academic burnout is a prevalent issue among medical students due to various stressors they encounter. Understanding the personality traits associated with academic burnout can aid in developing effective interventions. The study aimed to identify the personality types that are more prone to academic burnout in undergraduate medical students. A sample of 100 MBBS students from Delhi-NCR and Uttar Pradesh, including 71 males and 29 females, participated in the study. Personality traits were assessed using the Big Five Inventory, and academic burnout was measured using the Copenhagen Inventory (CBI): Student Version. The correlational study found a significant negative correlation between academic burnout and extroversion, agreeableness, and conscientiousness, and a strong positive correlation with neuroticism. No significant correlation was observed with openness. These findings contribute to understanding the relationship between academic burnout and personality traits. The study provides empirical evidence for significant associations between academic burnout and specific personality traits, emphasizing the strong positive correlation with neuroticism and the negative correlation with extroversion and conscientiousness. Further research is needed to explore underlying mechanisms and implications for psychological well-being in this population.
Keywords
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2023, Nitya, A. & Sukhala, S.
Received: August 10, 2023; Revision Received: October 08, 2023; Accepted: October 12, 2023
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.019.20231104
10.25215/1104.019
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Published in Volume 11, Issue 4, October-December, 2023