Waqas, A
ORCID: 0000-0002-3772-194X, Naveed, S, Aedma, KK, Tariq, M and Afzaal, T
(2018)
Exploring clusters of defense styles, psychiatric symptoms and academic achievements among medical students: A cross-sectional study in Pakistan
BMC Research Notes, 11 (1).
782-.
ISSN 1756-0500, 1756-0500
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Humans, Cross-Sectional Studies, Depression, Defense Mechanisms, Anxiety, Students, Medical, Adult, Pakistan, Female, Male, Young Adult, Academic Success |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 05 Apr 2019 10:18 |
| Last Modified: | 22 May 2026 22:08 |
| DOI: | 10.1186/s13104-018-3876-6 |
| Open Access URL: | https://doi.org/10.1186/s13104-018-3876-6 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3035908 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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