Relationship of Burnout With Personality, Alexithymia, and Coping Behaviors Among Physicians in a Semiurban and Rural Area in Turkey
Bibliographic record
Abstract
This present study aimed to assess levels of burnout, to investigate the extent to which personal characteristics and coping behaviors are related to burnout, and to establish the predictors of burnout among physicians in a semiurban and rural area. A sample of 139 physicians was assessed using the Maslach Burnout Inventory, Eysenck Personality Questionnaire, Toronto Alexithymia Scale, and Ways of Coping Inventory. The level of burnout was found to be moderately higher than those reported among urban physicians. A forward stepwise multiple regression analysis indicated that neuroticism, occupation (specialist vs general practitioner), helpless, self-confident, and social support seeking approaches were predictors of burnout. The results showed that burnout was negatively related with problem-focused copping strategies, and positively with emotion-focused coping strategies. Fostering problem-focused coping strategies in physicians might be useful in the reduction of burnout.
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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 | 0.000 | 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".