P.033 Awareness and knowledge of stroke and heart disease:a follow-up study of the Chinese-Canadian cardiovascular health project
Bibliographic record
Abstract
Background: This is an updated on-line survey of the awareness and knowledge of stroke and heart disease amongst Chinese-Canadians carried out in 2017. Methods: 1001 randomnly selected Chinese-Canadians from Toronto and Vancouver area. Results: 46% were > 45 years old and male to female ratio was: 49.3 : 50.8, with native language being Cantonese in 40%, Mandarin 24% and 31% English. 82% were Canadian citizens and 31% had been in Canada < 10 years. 44% were from Mainland China, 37% Hong Kong , 6% Taiwan and 12% were borned in Canada. 85% were able to name at least one symptom of heart attack (p=0.005) while 80% were able to name at least one symptom of stroke (p=0.0008). 85% would call 911 in response to symptoms of heart attack or stroke compared to only 20% in a previous 2004 telephone survey (p=0.00001) . Conclusions: There is a dramatic improvement in the awareness and knowledge of stroke and heart disease amongst Chinese-Canadians compared to a previous telephone survey in 2004. This significant change could be due to difference in survey technique, but these improvements could also be due to the ongoing health promotion efforts by the Chinese-Canadian Council in support of the Heart & Stroke Foundation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".