Prevalence, awareness, treatment and control of hypertension in rural and urban communities in Latin American countries
Bibliographic record
Abstract
OBJECTIVES: The objective is to describe hypertension (HTN) prevalence, awareness, treatment and control in urban and rural communities in Latin America to inform public and policy-makers. METHODS: Cross-sectional analysis from urban (n = 111) and rural (n = 93) communities including 33 276 participants from six Latin American countries (Argentina, Brazil, Chile, Colombia, Peru and Uruguay) were included. HTN was defined as self-reported HTN on blood pressure (BP) medication or average BP over 140/90 mmHg, awareness as self-reported HTN, and controlled as those with BP under 140/90 mmHg. RESULTS: Mean age was 52 years, 60% were Female and 32% belonged to rural communities. HTN prevalence was 44.0%, with the lowest rates in Peru (17.7%) and the highest rates in Brazil (52.5%). 58.9% were aware of HTN diagnosis and 53.3% were receiving treatment. Prevalence of HTN were higher in urban (44.8%) than rural (42.1%) communities in all countries. Most participants who were aware of HTN were receiving medical treatment (90.5%), but only 37.6% of patients receiving medical treatment had their BP controlled (<140/<90 mmHg), with the rates being higher in urban (39.6%) than in rural (32.4%) communities. The rate of use of two or more drugs was low [36.4%, lowest in Argentina (29.6%) and highest in Brazil (44.6%)]. Statin use was low (12.3%), especially in rural areas (7.0%). Most modifiable risk factors were higher in people with HTN than people without HTN. CONCLUSION: HTN prevalence is high but BP control is low in Latin America, with marked differences between countries and between urban and rural settings. There is an urgent need for systematic approaches for better detection, treatment optimization and risk factor modification among those with HTN in Latin America.
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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) | 0.001 | 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 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".