Hypertension Prevalence, Awareness and Blood Pressure Control in Matao, Brazil: A Pilot Study in Partnership With the Brazilian Family Health Strategy Program
Bibliographic record
Abstract
BACKGROUND: Around 30% of Brazilian population is hypertensive. Brazilian's Family Health Strategy (FHS) is a community-based approach to provide primary health care and control chronic disease as hypertension. The aims of this pilot study were to study hypertension prevalence and awareness and to analyze the feasibility of FHS program with community healthy agents (CHA) to collect data about hypertensive subjects in Matao, Brazil. METHODS: A cross-sectional study was conducted in subjects equal or older than 40 years old in a neighborhood belonging to FHS program. CHA were trained to collect data and to assess blood pressure (BP) with an automated device. Hypertension diagnosis was defined if systolic blood pressure ≥ 140 mm Hg or diastolic blood pressure ≥ 90 mm Hg or subject had previous use of hypertensive drug. Chi-square test and univariate logistic regression analysis were applied with significance level of 5% and a confidence interval of 95%. RESULTS: In 625 subjects, hypertension prevalence was 68.8% and women (71.9%) were more hypertensive than men (63.2%) (P = 0.02). Prevalence of hypertension increased with age group, from 46.3% (40 - 49 years) to 82.5% (70 - 79 years) (P < 0.001). The overall prevalence of pre-hypertension was 40.1%: stage 1, 25.7% and stage 2, 17.0%. Hypertension awareness was 81.8% and 79.8% reported use of anti-hypertensive drugs. BP was not controlled in 61.8% and 67.7% of them was using anti-hypertensive drugs. CHA reported no difficulties to collect data and BP assessment with the automated device. CONCLUSION: We observed a high hypertension prevalence rate, awareness, and subjects with uncontrolled hypertension even with use of anti-hypertensive drugs. CHA from FHS program are a feasible option to BP control in future studies involving larger populations.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".