Cross-country discrepancies on public understanding of stress concepts: evidence for stress-management psychoeducational programs
Bibliographic record
Abstract
BACKGROUND: Negative effects of stress have pose one of the major threats to the health and economic well being of individuals independently of age and cultural background. Nevertheless, the term "stress" has been globally used unlinked from scientificevidence-based meaning. The discrepancies between scientific and public stress knowledge are focus of concern and little is know about it. This is relevant since misconceptions about stress may influence the effects of stress-management psychoeducational programs and the development of best practices for interventions. The study aimed to analyze stress knowledge among the Canadian and Brazilian general public and to determine the extent to which scientific and popular views of stress differ between those countries. METHODS: We evaluated 1156 healthy participants between 18 and 88 years of age recruited from Canada (n = 502) and Brazil (n = 654). To assess stress knowledge, a questionnaire composed of questions regarding stress concepts ("stress is bad" versus "stress-free life is good") and factors capable of triggering the stress response ("novelty, unpredictability, low sense of control and social evaluative threat versus "time pressure,work overload, conflict, unbalance and children") was used. RESULTS: Both Canadian and Brazilian participants showed misconceptions about stress and the factors capable of triggering a stress response. However, the rate of misconceptions was higher in Brazil than in Canada (p < 0.05). CONCLUSION: These findings suggest a lack of public understanding of stress science and its variance according to a country's society. Psychoeducational programs and vulnerability of stress-related disorder are discussed.
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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 | 0.001 | 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".