Bibliographic record
Abstract
BACKGROUND: Although current guidelines emphasize the importance of hypertension knowledge, little is known about accuracy of this knowledge, factors affecting accuracy and the relationship of self-reported hypertension with cardiovascular disease (CVD). METHODS: One hundred and forty seven subjects were asked to provide self-reported data on hypertension. RESULTS: These were correlated with levels of systolic and diastolic hypertension measures. Demographic characteristics were considered as determinants of awareness and accuracy. Women were more likely than men to be aware of their hypertension levels. However men were more likely to exercise, use salt, smoke and consume alcohol. Women were more likely to be hypertensive, nonsmokers, and moderate drinkers. Higher levels of self-reported hypertension were strongly associated with increased risk of CVD. Women that smoke, have untreated hypertension, or a sedentary lifestyle have a decrease in awareness of their hypertension levels. CONCLUSIONS: Self-reported hypertension underestimates measured values, but is strongly related to CVD. Lack of awareness of elevated hypertension is associated with increased risk of CVD. KEYWORDS: Cardiovascular disease; Hypertension; Risk factors; Self-report; Caribbean.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".