Trends in mortality from coronary heart and cerebrovascular diseases in the Americas: 1970–2000
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Bibliographic record
Abstract
OBJECTIVE: To describe trends in mortality from coronary heart disease (CHD) and cerebrovascular accidents (CVAs) over the period 1970 to 2000 in the Americas. METHODS: Age standardised mortality rates were derived from the World Health Organization database and grouped according to the International classification of diseases, ninth revision. Joinpoint analysis was used to identify changes in trends. RESULTS: In the USA and Canada, CHD mortality rates declined by about 60% in both sexes. In Latin America, falls in CHD mortality were observed for Argentina, Brazil, Chile, Cuba, and Puerto Rico. In 2000, mortality rates among men were highest in Venezuela (137.3/100,000) and lowest (apart from Ecuador) in Argentina (63.5/100,000). For women, the rates were highest in Cuba (79.4/100,000) and lowest in Argentina (26.5/100,000). For CVA mortality, a decline by about 60% was observed in the USA and Canada for both sexes. The falls were smaller (about -25% to -40% among men and -20% to -50% among women) in Puerto Rico, Argentina, Chile, and Costa Rica and only minor in Ecuador, Mexico, and Venezuela. Around 2000, CVA mortality in Latin America was highest in Brazil (85.5/100,000 among men and 61.7/100,000 among women) and lowest in Puerto Rico (29.3/100,000 among men and 24.1/100,000 among women). CONCLUSIONS: Recent falls in CHD and CVA were less favourable in Latin America than in the USA and Canada. This may reflect unfavourable changes in nutrition (including obesity), physical activity, and smoking in most Latin American countries, together with less effective control of hypertension and management of the diseases.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it