Stress among nurses: a multi‐nation test of the demand‐control‐support model
Bibliographic record
Abstract
Purpose The purpose of this paper is to investigate the effect of job demand, job control, and supervisory support on stress among nurses in China, Japan, Argentina, and the Caribbean using the Job demand‐control (JDC) and the Job demand‐control‐support (JDCS) models. Design/methodology/approach The authors have employed a comparative research design, cross‐sectional survey methodology with convenient random sampling, and a commonly used statistical analytic strategy. Findings The results highlight that job demand, job control, and supervisory support are important variables in understanding stress among nurses. This has been corroborated in China, Japan, Argentina, and the Caribbean. Based on their findings and what is available in the literature, the authors report that the JDCS model has universal significance albeit it works somewhat differently in different contexts. Originality/value This study's contribution comes from its comparative nature, theoretical anchor, its use of one of the most popular models of stress, its focus on a profession that is demonstrably stressed, its use of common measures and an established analytic strategy. The study's findings underscore the cross‐cultural usefulness and application of the JDCS model along with its threshold and substitution effects and limiting conditions.
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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 | 0.001 | 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 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".