Genetic and phenotypic determinants of blood pressure and other cardiovascular risk factors
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: The pathogenesis of elevated blood pressure and other cardiovascular risk factors in the population and their progression over time is still incompletely understood, especially in young and healthy adults. METHODS: The genetic and phenotypic determinants of blood pressure and other cardiovascular risk factors (GAPP) study is a population-based prospective cohort study involving a representative sample of healthy adults aged 25-41 years in the Principality of Liechtenstein. Exclusion criteria are any cardiovascular disease, diabetes, obstructive sleep apnoea syndrome, daily intake of nonsteroidal anti-inflammatory drugs and a body mass index >35 kg/m². Examinations include detailed assessment of personal, medical, lifestyle and nutritional factors, standardised assessment of weight, height and waist circumference, blood pressure measurement (clinic and 24-hour ambulatory monitoring), electrocardiography (12-lead and 24-hour Holter monitoring), bioimpedance analysis, blood, urinary and genetic sampling, spirometry and sleep pulse oximetry with nasal flow measurement. Baseline examination is still ongoing. Follow-up examinations are scheduled every 3-5 years. RESULTS: Since June 2010, 1,333 participants have been enrolled. Mean age of the participants was 36.7 ± 4.9 years and 47.5% of all participants were male. Mean body mass index was 26.1 ± 3.1 kg/m2 in men and 23.5 ± 3.9 kg/m2 in women. The prevalence of hypertension and prediabetes was 24.7% and 32.1% in men and 6% and 23% in women respectively. Mean LDL levels were 3.34 ± 0.9 mmol/l in men and 2.75 ± 0.7 mmol/l in women. Median hsCRP was 0.9 (0.5; 1.8) mg/l with no gender differences. CONCLUSION: GAPP affords an excellent opportunity to assess genetic and phenotypic predictors of cardiovascular risk factors and their progression over time in young and healthy adults from the general population.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it