Korean J Psychosom Med.  2018 Dec;26(2):102-111. 10.22722/KJPM.2018.26.2.102.

Personality Characteristics Predicting Depression, Anxiety and Resilience in the Graduate Medical Students

• Wee SH
• Lee SJ
• Park CS
• Kim BJ
• Lee CS
• Cha B
• Lee D
• Seo JY
• Choi JW
• Ahn IY

• KMID: 2437561
• DOI: http://doi.org/10.22722/KJPM.2018.26.2.102

Abstract

OBJECTIVES
This study aimed to investigate the relationship between personality characteristics of medical students at their admission and the level of depression, anxiety, and resilience at their third year.
METHODS
Self-reported questionnaires were conducted to the students at the beginning of the first year and the third year. When the students in their first year, they performed the personality assessment inventory, the Beck depression inventory, and the Beck anxiety inventory. When they were in the third year, the students answered the composite Scale of morningness and Conner-Davidson resilience scale-10 in addition to the BDI and BAI. Multiple linear regression analyses were performed to identify predictors of the level of depression, anxiety, and resilience.
RESULTS
Of the subscales of depression in the PAI, the physiological depression (β=−0.285, p=0.049) associated with increase in the depression from the first to the third year. Among the anxiety-related disorder subscale in the PAI phobia (β=0.119, p=0.022) and traumatic stress (β=0.375, p=0.007) associated with the level of depression at third grade. Somatization (β=0.631, p < 0.001) in the PAI associated with the level of anxiety at third year. The anxiety (β=−0.531, p < 0.001) in the PAI was positive associated with the resilience at third grade.
CONCLUSIONS
This study showed that certain personality characteristics at admission had significant relationships with the level of depression, anxiety, and resilience at the third grade medical students.

Keyword

Personality; Depression; Anxiety; Resilience; Medical students

MeSH Terms

Anxiety*
Depression*
Humans
Linear Models
Personality Assessment
Phobic Disorders
Students, Medical*