Cardiovascular and Cortisol Reactivity to Acute Mental Stress in Female Shift and Non-Shift Workers
Bibliographic record
Abstract
High cardiovascular and cortisol reactivity to stressful tasks are predictors of increased future cardiovascular risk. Few studies have investigated the impact of shift work on cardiovascular reactivity, and none have examined cortisol reactivity. The purpose of this study was to compare cardiovascular and cortisol stress reactivity in female shift workers (SW) versus non-shift workers (NSW). Nineteen SW (40 ± 11 years) and 19 NSW (42 ± 11 years) participated. Heart rate, systolic blood pressure, and diastolic blood pressure (DBP) were measured at rest, and during each minute of a speech (5 min) and mental arithmetic (5 min) stress task. Serum cortisol was measured pre- and poststress task (immediately and 15 min post). Values are means ± SD. Peak increases in DBP during the task did not differ between groups ( p = .261), however, analyzed over time there was an interaction such that DBP increased significantly more in SW during the fifth minute of the speech task ( p = .035). There were no group differences in heart rate or systolic blood pressure responses. The increase in cortisol also did not differ between groups (ΔSW: 5.5 ± 7.5 µg/dL, ΔNSW: 1.8 ± 2.9 µg/dL, p = .165). However, when compared separately, the increase in cortisol from baseline to peak poststress was significant in SW ( p = .013) but not in NSW ( p = .125). In conclusion, these preliminary data suggest that shift work exposure may have a modest influence on cardiovascular and cortisol reactivity. Further research is necessary to fully characterize and explore the importance of stress reactivity in this population.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".