Abstract P1102: Profile Characteristics of the Population Assisted in the 2018 Less Pressure Campaign of the Brazilian Hypertension Society
Bibliographic record
Abstract
The Brazilian Society of Hypertension (BSH) yearly conducts the National Campaign to promote and encourage the cardiovascular health of the population. Objective: To characterize the profile of the population assisted in the “ Less Pressure Campaign ” in 2018. Methods: This is a descriptive cross-sectional study based on the campaign MMM with the general public of the São Paulo city Brazil in May. The campaign comprised multi-professional interventions made by five workshops: 1)blood pressure(BP)measurement with automatic devices; 2)exercise guidelines; 3)anthropometry, i.e., measurement of weight, height, and abdominal circumference (AC) and calculation of body mass index (BMI); 4)nutritional guidance; and 5)psychological orientation. Data analysis was in accordance with the VII BSH Guidelines, which considered values ≥140mmHg for systolic BP (SBP) and ≥90 mmHg for diastolic BP (DBP) as altered. Results: A total of 1184 individuals were assisted; of these, 49% (580) were men and 51%(604) were women. The mean age was 53.5±15 years, the total participants, 51% (627) declared they were normotensive, 32% (380) stated they were hypertensive and 15,3% (182) do not know if you have hypertension. The BP of 31% (380) of the individuals was altered compared with normotensive (627) as follows: SBP146.9±14mmHg vs SBP 115.8±12; DBP 90.9±10mmHg vs 76.1±8, and heart rate 78.9±14 vs of 79.2±12, respectively between hypertensive, normotensive individuals. The anthropometric data of the participants with altered BP compared with normotensive population were the following: weight was statistically significant (p=0,0407) 77±15kg vs 71.9±18Kg; BMI was statistically significant (p=0,0007) 27.5±14Kg/m2 vs 21.9±22Kg/m2; and AC was statistically significant (p=0,0000) 98.5±11 vs 96.4±11cm respectively between hypertensive and normotensive individuals. When analyzing the association between sex and hypertension, it was identified that 48.9% (186) hypertensive were female and 51% (194) were male, when the association was assessed no statistical difference was found (p=0.0658) between sex and hypertension. Conclusions: The study points to the need for investment in educational and awareness actions to promote better control of the hypertensive population
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".