Association between depressive symptomatology and central arterial stiffness in healthy young adults
Bibliographic record
Abstract
Depression symptomology is linked with incident cardiovascular disease (CVD). Increased central arterial stiffness represents a potential mechanism connecting depression and increased cardiovascular risk. Therefore, the objective of this study was to examine the association between depressive symptomology and central arterial stiffness in healthy young adults without cardiovascular disease. The study tested the hypothesis that higher depressive symptomology is associated with greater central arterial stiffness. Using existing data from the Niagara Longitudinal Heart Study (NLHS), a sample of 293 young adults (22.5±1.71 years; 55% female) was included. Depressive symptomology (Centre for Epidemiological Studies Depression Scale; CESD), central arterial stiffness (carotid-femoral pulse wave velocity; cfPWV), beat-by-beat mean arterial pressure (MAP; finger photoplethysmography), and heart rate (HR; electrocardiogram) were measured. Multiple linear regression analyses were used to examine the association between depressive symptomology and cfPWV, adjusting for age, sex, body mass index, physical activity, smoking status, MAP, and HR. Depressive symptomology was categorized as low (CESD score < 16), moderate (CESD score ≥16 and < 26), and high (CESD score ≥ 26), where low symptomology was used as the reference group. After adjusting for covariates, high depressive symptomology was predictive of a faster cfPWV (β = 0.134, p = 0.026), whereas moderate depressive symptomology was not (β = 0.053, p = 0.365). These findings suggest that high depressive symptomatology is associated with a faster cfPWV, signifying elevated central arterial stiffness. Therefore, central arterial stiffness may act as a mechanism connecting depression to CVD. Future research should aim to decipher the causal direction between depression and cfPWV. This work was supported by the Canadian Institute of Health Research (CIHR) and Brock University. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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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 | 0.000 | 0.000 |
| 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".