High Prevalence of Prehypertension and Hypertension in a Working Population in Hungary
Bibliographic record
Abstract
BACKGROUND: Hungary has one of the highest mortality rates due to strokes among the European Union countries. As elevated blood pressure (BP) is the principal risk factor for strokes, we assessed BP levels, as well as awareness and treatment status of hypertension and prehypertension in a working population sample in Hungary. METHODS: Worksite employees in Budapest and Szeged were screened for their BP using an automated BP measuring instrument (BpTRU). BpTRU readings of heart rate (HR) were also recorded. Respondents were classified as normotensives (NT), prehypertensives (PHTN) and hypertensives (HTN) according to their BP levels, as defined by the JNC 7 guidelines. Body height and body weight were measured and body mass index (BMI) was calculated. Self-reported information regarding smoking was collected. RESULTS: In total, 2,012 respondents were recruited (1,000 white collar; 1,012 blue-collar workers), with a mean (±s.d.) age of 34.8 (±9.9) years. Of all respondents, 22.6% were identified as HTN and 39.8% as PHTN. Among HTN, 40% were unaware of their condition and only 18.5% were adequately treated. PHTN were similar in age as NT, but showed significantly higher HR. CONCLUSIONS: A high proportion of relatively young and apparently healthy Hungarian employees were diagnosed with prehypertension and hypertension. Only a small proportion of HTN had their BP controlled. BMI and HR were significantly higher among individuals with prehypertension compared to NT. Whether the high rates of hypertension, prehypertension, and low levels of control explain the high stroke mortality and unfavorable cardiovascular disease (CVD) profile of Hungary needs further study.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".