Prevalence of alexithymia and its association with burn out among medical field students at Umm Al-Qura University in Saudi Arabia
Bibliographic record
Abstract
Background/Aim: Alexithymia is the sub clinical inability to recognize and describe one's feelings. In the medical field, students often become emotionally blind when dealing with the difficulties of their studies, which can lead to burnout syndrome. This study's purpose is to assess prevalence of alexithymia and its association with burnout among medical field students at Umm Al-Qura University (UQU), Saudi Arabia. Methodology: A cross sectional survey of medical field students at UQU was conducted to assess the prevalence of alexithymia using the Toronto Alexithymia Scale and academic burnout, measured using the Maslach Burnout Inventory. T-tests were run to assess specialties and gender differences. Result: A total of 387 medical field students completed the study questionnaire. The prevalence of alexithymia among medical field students was 36.7% and alexithymia was detected among 42.2% of female students compared with 30.4% of male students (P=0.033). A significant relation was found between alexithymia among medical field students at UQU and their burnout (P=0.001). Conclusions: One third of the study participants may have alexithymia. Given the important association between burnout and alexithymia, increasing awareness of alexithymia and providing self improvement programs for burnout prevention is highly recommended.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".