HUBUNGAN INDEKSMASSA TUBUH DAN LINGKAR PINGGANG DENGAN TEKANAN DARAH LAKI-LAKI DEWASA
Bibliographic record
Abstract
Prevalence of hypertension in adult males was highest in PuskesmasBasuki Rahmat (16.2%) as many as 648 cases of hypertension patients which hasincreased compared to 2012 by 12% in cases of hypertension totaled 482 patients((Dinkes Kota, 2013). This study aims to determine the relationship of body massindex (BMI) and waist circumference (WC) with systolic blood pressure (BP) in adultmales in Puskesmas Basuki Rahmat Bengkulu City in 2015. The study design wasdescriptive analytic with cross sectional approach. Study location was in PuskesmasBasuki Rahmat City of Bengkulu. Samples were selected using purposive samplingtotalling 68 people. Criterias sample were being adult males who occupied inPuskesmas Basuki Rahmat City of Bengkulu, aged ? 18 years, agreed to beinterviewed,and able to communicate actively. Data were obtained include BMI, WCand systolic BP adult males and processed using computer software with pearsoncorrelation analysis.The results showed that there was relationship between BMI andsystolic BP (p = 0.0005; r = 0.395); between WC and systolic BP (p = 0.004 and r =0.347) in adult males. This study concluded that there was relationship between BMIand WC with systolic BP in adult males in Puskesmas Basuki Rahmat Bengkulu Cityin 2015.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".