Risk factors for uncontrolled blood pressure among individuals with hypertension on treatment: the CONSTANCES population-based study
Bibliographic record
Abstract
BACKGROUND: We aimed to assess factors associated with uncontrolled blood pressure (BP) among individuals with hypertension on treatment, by sex. METHODS: We conducted a nested cross-sectional analysis using data from the population-based cohort study CONSTANCES, designed as a randomly selected sample of French adults aged 18-69 years at study inception. We included 11 760 participants previously diagnosed with hypertension and taking antihypertensive medications. Uncontrolled BP was defined as mean systolic BP ≥140 mmHg and/or mean diastolic BP ≥90 mmHg. Sex-specific age-adjusted multivariable analyses were performed using logistic regression models stratified by stages of uncontrolled hypertension. RESULTS: The mean age of participants was 59.4 years. The prevalence of uncontrolled BP was 51.4%, and it was higher in men than in women [adjusted odds ratio (aOR), 1.80; 95% CI, 1.67-1.94]. In both sexes, the lower the age, the lower the prevalence of uncontrolled hypertension. Low level of education and history of cardiovascular events had, respectively, higher and lower odds of uncontrolled BP. In men, additional risk factors included overweight and obesity (aOR, 1.15; 95% CI, 1.00-1.32; and aOR, 1.45; 95% CI, 1.23-1.70, respectively), lack of physical activity (aOR, 1.20; 95% CI, 1.04-1.40), low adherence to a Dietary Approach to Stop Hypertension diet (aOR, 1.21; 95% CI, 1.05-1.40) and heavy alcohol consumption (aOR, 1.33; 95% CI, 1.08-1.63), with the last two factors persisting across different stages of uncontrolled BP. CONCLUSIONS: From a population-based perspective, socio-economic and behavioural characteristics were risk factors for uncontrolled hypertension, but they differed by sex and by stage of uncontrolled hypertension. Modifiable risk factors, such as weight, diet, physical activity and alcohol consumption, have an important role in the control 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".