Resilience among the Undergraduate Students in a Medical College in Kolkata: A Cross-Sectional Study

Subhajoy Maitra; Sayeli Mitra; Archi Chandra; Aditi Aikat

doi:10.51957/Healthline_741_2025

Authors

Subhajoy Maitra Assistant Professor, Jagannath Gupta Institute of Medical Sciences and Hospital, Kolkata, India Author https://orcid.org/0000-0002-1733-1514
Sayeli Mitra Assistant Professor, Jagannath Gupta Institute of Medical Sciences and Hospital, Kolkata, India Author https://orcid.org/0000-0001-7563-214X
Archi Chandra Assistant Professor, Jagannath Gupta Institute of Medical Sciences and Hospital, Kolkata, India Author
Aditi Aikat Professor, Jagannath Gupta Institute of Medical Sciences and Hospital, Kolkata, India Author https://orcid.org/0000-0001-5448-1557

DOI:

https://doi.org/10.51957/Healthline_741_2025

Keywords:

Brief Resilience Scale, Burnout psychological, Burnout professional, Resilience psychological, Students

Abstract

Introduction: Medical education is competitive, causing academic, clinical, and psychosocial stress, which contributes to rising depression and suicide rates among students. Resilience, the ability to cope with setbacks, serves as a stable protective factor against stress and burnout. Objectives: To estimate resilience among Undergraduate students of a Medical College in Kolkata and to determine the association of resilience with selected sociodemographic and academic variables. Methods: A facility-based observational study, cross-sectional in design, was conducted among 160 undergraduate students selected by stratified random sampling in a medical college of Kolkata. Sample size was calculated considering p=0.5, a precision of 7 %, design effect of 0.8 and considering 5% nonresponder rate. A predesigned, pre-validated structured questionnaire was used, comprising socio-demographic variables, the WHO 5 wellbeing score, and the Brief Resilience Scale. Association was calculated by the Chi-square test. Those having a significant association with them were taken for binary logistic regression. The value of p less than 0.05 was considered statistically significant. Results: Among 160 study participants, 33% had a low level of resilience. In multivariable logistic regression analysis, higher age [AOR 2.22(1.03-4.76)], having no problems in the family [AOR 2.44(1.07-5.56)], and having a good WHO five wellbeing score [AOR 2.7(1.23-5.88)], have higher odds of having adequate resilience. Conclusion: About one-third of the study participants (33%) had low resilience. Male sex, higher age, belonging to joint family, having no problem in the family, absence of any comorbidity and having good WHO 5 wellbeing score had higher odds of developing adequate resilience.

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