Association of age-dependent height and bone mineral density decline with increased arterial stiffness and rate of fractures in hypertensive individuals
Bibliographic record
Abstract
OBJECTIVE: Hypertension and osteoporosis are age-related health risks differentially expressed in men and women. Here we have analysed their prevalence in a randomly selected cross-sectional cohort [CARTaGENE (CaG) of Quebec, Canada and explored their existing relationships along with height, arterial stiffness and bone fractures. METHODS: The principal cohort CaG included 20 007 individuals of age 40-70 years. Participants were subjected to an extensive phenotyping and a questionnaire of medical history and habits. RESULTS: We determined the differences in height of participants and their relation to hypertension status and sex in this cohort and validated it in two other cohorts (The Canadian Heart Health Study and a family cohort from the Saguenay Lac Saint-Jean, a region of Quebec). In all three cohorts, we found that at younger age individuals with hypertension are taller than normotensive individuals, but they have a shorter stature at an older age compared with normotensive individuals. In CaG, we observed that hypertension, low bone mineral density (BMD) and arterial stiffness are strongly associated with height when adjusted for antihypertensive medications (P < 0.0001). Fractures are the net outcome of low BMD, and a significant association is observed (odds ratio = 2.34, confidence interval = 2.12-2.57); this relation was stronger in hypertensive individuals compared with normotensive individuals particularly in younger hypertensive individuals. In addition, we observed that increased arterial stiffness was significantly correlated with a low BMD in both men and women at all ages. CONCLUSION: Shorter stature in elderly, low BMD and fractures correlated with increased arterial stiffness and hypertension. We propose that hypertension and osteoporosis share components of accelerated aging.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".