Objective: The clusters of participants with a homogeneous psychological make-up can be identified using sophisticated machine learning techniques such as the two-step clustering algorithm. It can also help us to identify the synergistic and additive effects of a range of psychometric variables. The identification of synergistic effect of this clustering of defense mechanism has significant practical implications as they share a certain variance. This study aims to identify the clusters of ego defenses and their relationship with academic performance and mental health outcome in medical students.
Results: The high achievers scored higher on mature and neurotic defense styles and lower on immature than their counter parts. A higher proportion of medical students in high achievers group had normal scores on depressive symptoms than low achievers. While a majority among low achievers suffered from severe anxiety levels than high achievers group. High achievers scored higher on sublimation, humor, anticipation, suppression, pseudo-altruism, idealization, reaction formation, autistic fantasy, denial, and rationalization.
Keywords: Academic performance; Anxiety; DSQ-40; Defense style questionnaire; Defense styles; Depression; Ego defense mechanisms; Medical education; Medical students; Pakistan.