The effect of age and gender on arterial stiffness in healthy Caucasian Canadians
Bibliographic record
Abstract
AIMS AND OBJECTIVES: We aimed to investigate age and gender differences in arterial stiffness, and whether this cardiovascular risk factor was detectable in healthy Caucasians before established disease was manifest. BACKGROUND: A growing number of risk factors including diabetes, obesity, hypertension, hyperlipidaemia, smoking and age have been linked to the adverse cardiovascular end-points of myocardial infarction, stroke and heart failure. These risk factors lead to an increase in arterial stiffness. Measuring this stiffness at an early age may identify candidates for primary preventative intervention strategies by nurses. METHODS: Caucasian Canadians (n = 176) were recruited. Peripheral and central blood pressure, pulse pressure, augmentation pressure, arterial compliance (augmentation index and pulse wave velocity) and sub-endocardial viability ratio (SEVR), were assessed using applanation tonometry (SphygmoCor system). Blood was drawn for fasting lipid and glucose profiling. RESULTS: Women participants had significantly stiffer arteries than men (augmentation index: 28 SEM = 1% vs. 18 SEM = 2% respectively; p < 0.001). Pulse wave velocity, however, was not different (7.7 SEM = 0.2 m/s vs. 8.3 SEM = 0.1 m/s respectively; p < 0.001). Age was a strong predictor of arterial stiffening in both genders, but the effect was greater in women. CONCLUSIONS: Women having stiffer arteries than men, thus at greater cardiovascular risk, may require earlier screening. The effect might be postmenopausal, and mechanisms require further investigation. However, both middle-aged men and women considering themselves 'healthy' may benefit from more proactive primary prevention. RELEVANCE TO CLINICAL PRACTICE: Applanation tonometry, used extensively by nurses, provides early detection of central haemodynamic changes and vascular compliance at all ages. Knowledge of arterial stiffness could guide the management of primary prevention in the nursing cardiovascular risk reduction clinic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".