Burnout and Association with Psychosocial Work Environment among Swedish Firefighters
Bibliographic record
Abstract
<p>Firefighters are exposed to traumatic and stressful psychosocial and physical strain in their work, and thus they are considered to be a group at high risk of burnout. The aim of this study was to investigate burnout (emotional exhaustion (EE) and depersonalization (DP) among Swedish female and male firefighters and to examine the gender-stratified relationship between psychosocial work environment and burnout when considering the moderating effect of coping strategies among Swedish firefighters. The overall mean values of both EE and DP were notably low in comparison with the general population in Sweden. We found that psychosocial work environment factors increase the risk of burnout among male firefighters. Among men, EE was associated with high demands and lack of social support in work. The association was also confirmed with DP as the outcome and lack of good leadership as the exposure among men. However, among female firefighters the association between psychosocial work environment factors and burnout failed to appear. Among women, EE and DP were only associated with the coping strategy Psychological distancing (PDi). A negative association with DP and the coping strategy Positive Reappraisal (PRe) was also found among women. Regardless of the result from the regression analyses, we must consider that the majority of the female and male firefighters in our study had low scores on the outcome variables EE and DP. Future studies should explore female and male firefighters’ context and possible health-protecting environment.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".