Korean Med Educ Rev.  2023 Oct;25(3):243-257. 10.17496/kmer.23.016.

Research Trends and Meta-Analysis of Variables Related to Depression in Korean Medical Students

Affiliations
  • 1Department of Medical Education, Konkuk University School of Medicine, Chungju, Korea
  • 2Department of Emergency Medicine, Konkuk University School of Medicine, Chungju, Korea
  • 3Department of Education, Seoul National University, Seoul, Korea

Abstract

This study aimed to analyze trends in research on depression among medical students in Korea and to conduct a meta-analysis to determine the average correlation coefficients between depression and related variables. In total, 38 quantitative studies (four theses and 34 journal articles) published between January 1995 and February 2023 were analyzed according to publication year, subjects, analysis methods, and measurement tools. Among them, 15 studies that provided numerical information on the relationships between depression and variables such as self-esteem, social support, grade point average (GPA), stress, and academic stress were selected for meta-analysis. The main findings of this study were as follows. First, quantitative research on depression among medical students began in earnest in 2009, and cross-sectional studies targeting first-year and second-year medical students were the most prevalent. Furthermore, the most commonly used analysis method was difference testing, and the Beck Depression Inventory was the most frequently used measurement tool. Second, the mean correlation coefficients between depression and stress, self-esteem, social support, academic stress, and GPA were 0.534, 0.532, 0.465, 0.390, and 0.102, respectively. The results for self-esteem, stress, and academic stress showed substantial heterogeneity, while those for social support and GPA showed little heterogeneity. These findings suggest that educational interventions, such as social support improvement programs, are necessary to prevent depression among medical students.

Keyword

Depression; Medical student; Meta-analysis; Quantitative research trends
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