Risky alcohol use in Danish physicians: Associated with alexithymia and burnout?
Bibliographic record
Abstract
BACKGROUND: Alcohol abuse may be elicited by psychological problems and can influence physicians' health and patient safety. To act on it, we need knowledge on the prevalence of the disorder and its associations with psychological factors and physicians' well-being. The aim of this study was to explore whether burnout and alexithymia are associated with risky alcohol consumption in physicians and whether burnout mediates the association between alexithymia and risky alcohol consumption. METHODS: In this cross-sectional study, 4,000 randomly selected physicians received an electronic questionnaire by email containing the Alcohol Use Disorders Identification Test (AUDIT), the Maslach Burnout Inventory Human-Services-Survey (MBI-HSS) and the Toronto Alexithymia Scale (TAS-20). A total of 1,841 physicians completed the questionnaire (46%). RESULTS: 18.8% reached the criteria for risky alcohol consumption. The likelihood of having risky alcohol consumption was associated with high levels of alexithymia (OR=1.93, 95%CI=1.37-2.74, P<0.001). Moreover, risky alcohol consumption was associated with burnout (OR=1.86, 95%CI=1.13-3.05, P<0.014) and each individual burnout dimension: emotional exhaustion (OR=1.89, 95%CI=1.33-2.69, P<0.001), depersonalisation (OR=2.23, 95%CI=1.53-3.25, P<0.001) and low levels of personal accomplishment (OR=1.66, 95%CI=1.14-2.41, P=0.008). Mediation analysis suggested that the association between alexithymia and risky alcohol consumption was partially mediated through depersonalisation. CONCLUSIONS: The results emphasize a need for enhancing emotional self-awareness in physicians as psychological traits, work-pressure and alcohol dependence might be self-reinforcing aspects for the individual physician. As alcohol dependence and burnout may have consequences for patient safety separately, the aggregated influence of these factors has to be examined.
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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".