The role of vital exhaustion in predicting the recurrence of vascular events: A longitudinal study
Bibliographic record
Abstract
BACKGROUND/OBJECTIVE: The aim of this study was to examine the role of vital exhaustion in predicting the recurrence of vascular events. METHOD: = 14.7 years), 395 (48.4%) of whom reported treatment for the reoccurrence of a vascular event during the four-year follow-up period. Concurrent effects of baseline vital exhaustion (measured by a shortened version of the Maastricht Questionnaire), depression (assessed by a shortened version of the BDI), anxiety (assessed by the HADS), and hostility (assessed by a shortened version of the Cook-Medley Hostility Scale) in predicting the recurrence of T2 vascular events were examined. The analyses were also controlled for traditional risk factors, such as age, education, body mass index, smoking, alcohol use, and lack of physical activity. RESULTS: The regression analyses showed that vital exhaustion scores significantly predicted the reoccurrence of vascular events even after controlling for all covariates. None of the other psychological predictors (depression, anxiety, and hostility) was significant in the final model. CONCLUSIONS: These results suggest that despite the partial conceptual overlap with several similar constructs, vital exhaustion is a distinct phenomenon that deserves consideration when planning and implementing interventions to reduce the risk of vascular diseases.
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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 | 0.007 | 0.001 |
| 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".