Attachment anxiety, reflective functioning and well‐being as predictors of burn‐out and psychological distress among psychotherapists: A longitudinal study
Bibliographic record
Abstract
OBJECTIVE: This study aims to longitudinally investigate the effects of individual's factors on subsequent burn-out/psychological distress in a sample of mental health practitioners, testing if higher attachment anxiety and avoidance and lower reflective functioning (i.e., certainty and uncertainty of mental states) and well-being at baseline may lead to a greater psychological distress and burn-out 1 year later. METHODS: The sample consisted of 40 experienced psychotherapists (females: 72.5%; mean age: 47.40 ± 9.48 years) who completed a battery of questionnaires at baseline and 1 year later. Statistical analyses were conducted with Bayesian multiple linear regressions. RESULTS: Greater attachment anxiety and certainty about mental states and lower individual's well-being at baseline predicted greater burn-out 1 year later. Similarly, greater attachment anxiety and lower individual's well-being at baseline predicted psychological distress at 1 year follow-up. Of note, uncertainty of mental states and avoidant attachment were not associated with outcomes. CONCLUSION: These findings suggest that the levels of burn-out and psychological distress among psychotherapists may be alleviated with interventions targeting attachment insecurity, specific aspects of reflective functioning (i.e., certainty about mental states) and 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".