Description of Hypertension Prevention in Puguh Village, Boja District, Kendal Regency
Bibliographic record
Abstract
This study aims to identify the epidemiological characteristics of people with hypertension in Puguh Village, Kendal Regency during the third quarter of 2024. Using a descriptive research design with a population of 110 respondents, data was collected using Kobotoolbox and analyzed using statistical software. The results show that the majority of respondents were female (73.6%), aged 31-90 years (87.3%), had elementary school education (48.2%), and worked in the informal sector (46.4%). Respondents' knowledge level about hypertension was fairly good, with 94.5% understanding the term hypertension and 98.2% being aware of its risks for heart disease and stroke. However, knowledge about risk factors such as smoking remained low (34.5%). Regarding attitudes, 90.9% of respondents agreed on the importance of regular blood pressure checks, and 92.7% supported regular physical activity. An area still needing attention is the understanding of the relationship between obesity and hypertension, where only 51.9% of respondents understood the correlation. This study recommends strengthening education about lifestyle modification risk factors, developing specific educational programs about the dangers of smoking, and implementing more innovative educational media to improve the community's comprehensive understanding of hypertension.
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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 | 0.000 |
| 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) | 0.002 | 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".