Generalized Anxiety Disorder, Alexithymia, and Defense Mechanisms Among Medical Students of Northeastern Iran
Bibliographic record
Abstract
Background: Defense mechanisms are essential to personality and behavior that help individuals deal with stress. These mechanisms might act in different ways, rendering medical students caring physicians or egoistic individuals, and thus, a good understanding of defense mechanisms can contribute to the efforts made to improve the psychological well-being of medical students. Objectives: We studied the prevalence of generalized anxiety disorder (GAD) and alexithymia as determinants of psychological well-being and the mechanisms by which medical students might cope with stress and anxiety. Methods: The present cross-sectional study was conducted on 232 medical students, 126 (60%) females and 96 (40%) males, in northeast Iran. Data were collected through GAD-7, the Farsi version of the Toronto Alexithymia Scale (FTAS-20), and the Defense Styles Questionnaire (DSQ-40). Statistical analysis was performed with IBM SPSS 22.0. Pearson's chi-square test, bivariate correlations, and multiple linear regression analysis were used to identify associations between GAD, alexithymia, and defense mechanisms. Results: A total of 87 (37.5%) participants showed moderate to severe anxiety. Alexithymia was detected in 49 (21%) participants. Mature defense mechanisms had the highest prevalence among participants (56.5%), while immature mechanisms had the least (23.3%). A significant positive correlation was noted between GAD and alexithymia. Also, GAD was positively correlated with immature and neurotic defense mechanisms (P < 0.05). A negative correlation was found between mature defense mechanisms and GAD (P < 0.001). Suppression and humor (mature mechanisms) were the negative predictors of GAD. Reaction formation, somatization, autistic fantasy, splitting, passive aggression, displacement, and pseudo-altruism (an immature and neurotic mechanism) were the positive predictors of GAD. Conclusions: The statistically significant correlations found among GAD, alexithymia, and defense mechanisms suggest that a good understanding of these conditions and mechanisms can contribute to alleviating anxiety among medical students and improving their psychological well-being.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".