An exploration of the associations between work and life stress, and indicators of cardiovascular risk among female shift work and non-shift work hospital employees.
Bibliographic record
Abstract
Objective: To compare psychological work and life stress indicators among female hospital employees in both shift work (SW) and non-shift work (NSW) positions, and determine associations with demographic and vocational factors, and indicators of cardiovascular risk (CVR).Methods: Female employees from one Southeastern Ontario acute care hospital (n=212) provided fasting blood samples, demographic and work related data, and completed a physical assessment and questionnaires.Work stress was measured with the Job Content Questionnaire and Effort-Reward Balance Index (ERI).Life stress was assessed with the Derogatis Stress Profile.Metabolic Syndrome (MS) was determined based on Interim Societies Joint Guidelines.Results: SW in comparison to NSW employees reported higher mean scores in: global ERI (.70 (SD .4) vs. .58(SD.29) p<.05), psychological job demands (21.2 (SD 4.8) vs.19.2 (5.7) p<.01), physical job demands (13.8 (SD 2.6) vs. 10.2 (SD 3.8), skill discretion (36.5 (SD 4.4) vs. 34.7 (SD 5.4) p<.01), lower decision authority (31.6 (SD 5.8) vs. 33.5 (SD 6.5) p<.05), and lower total life stress scores (39.2 (SD 7.3) vs. 42.1 (SD 9.4) p<.05).There were no significant differences between SW and NSW group for MS or CVR factors.MS was present among 17% of all employees, 18.5% of SW, and 15.5% of NSW.In logistic regression analysis MS occurrence was associated with chronic SW exposure of 6 or more years (AOR 5.41 (95% CI,, decisional authority (AOR 1.09 (95% CI, 1.00 -1.18), skill discretion (AOR 1.13 (95% CI, 1.01 -1.26), and depression (AOR 1.26 (95% CI 1.08 -1.46). ! ii!Conclusions: Women working in SW positions experience more psychological and physical work stress, and effort-reward imbalance.The interplay between effort and reward aspects of the work environment may significantly contribute to psychological work stress and persist with increasing age among female hospital employees regardless of SW status.Among female hospital employees SW status and psychological stress measures do not appear to have an immediate effect upon CVR, as measured by the MS, but may contribute to its development with prolonged exposure.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".