Latent profile analysis of adaptation types and stress among medical students during the COVID-19 pandemic in South Korea

Abstract

Objective: This study aimed to identify profile groups based on personality traits and coping strategies exhibited by medical students in the context of COVID-19. Methods: We conducted a cross-sectional survey and latent profile analysis to investigate differences in stressors, psychological distress, and stress levels with academic variables. We collected data online (Google survey form) in November and December 2021. The participants included a total of 260 1st and 2nd year medical students, all completed questionnaires containing the following sections: Big Five Inventory, coping strategies, COVID-19 stressors, Kessler Psychological Distress Scale, and stress level with academic variables. For analysis, a latent profile analysis, ANOVA, and χ2 were used. Results: The results reveal the three following profile groups: adaptive (lowest neuroticism, low mental disengagement), middle-adaptive (moderate neuroticism, low mental disengagement), and maladaptive (highest neuroticism and mental disengagement), respectively comprising 25.0%, 39.2%, and 35.8% of the study sample. There were no statistically significant intergroup differences regarding grade (χ2=3.345, p=0.188) or gender (χ2=1.197, p=0.550). The maladaptive group was strongly associated with perceived stress during the COVID-19 pandemic (p<0.001). Conclusion: These findings highlight the value of considering profile groups when determining whether students require additional support during pandemics. doi: https://doi.org/10.12669/pjms.39.1.7196 How to cite this: Park KH, Im SJ, Kyung SY, Yune SJ. Latent profile analysis of adaptation types and stress among medical students during the COVID-19 pandemic in South Korea. Pak J Med Sci. 2023;39(1):---------. doi: https://doi.org/10.12669/pjms.39.1.7196 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.