Alexithymia, traumatic stress symptoms and burnout in female healthcare professionals
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective The burnout syndrome represents a defence mechanism against stress and includes stages with decreased ability to experience feelings and emotional states. This finding suggests that burnout might be closely linked to emotional ‘blindness’ as a defence mechanism against negative and overwhelming emotions known as alexithymia. The aim of this study is to examine the relationships between burnout syndrome, alexithymia, depression and traumatic stress symptoms in healthcare professionals. Methods This empirical study assessed female healthcare professionals who work with a population of patients with diabetes, utilizing the Maslach Burnout Inventory (MBI-HSSMP), Burnout Measure (BM), Toronto Alexithymia Scale (TAS-20), Beck Depression Inventory (BDI-II) and Traumatic Stress Checklist (TSC-40). Data were analysed using Spearman’s correlation coefficient. Results A total of 114 female participants were included (age range, 31–60 years; mean age, 46.62 ± 8.71 years). Statistically significant associations were found between burnout syndrome (BM scores) and alexithymia (TAS-20) ( r = 0.41), and between BM scores and traumatic stress (TSC-40; r = 0.63). The MBI-HSSMP emotional exhaustion subscale also correlated with alexithymia (TAS-20) ( r = 0.37). Conclusion Findings of this study suggest that alexithymia and traumatic stress are related to burnout symptoms. This dynamic may be potentially useful for detecting and preventing burnout syndrome.
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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 | 0.003 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it