Baseline Depressive Symptoms Are Not Associated With Clinically Important Levels of Incident Hypertension During Two Years of Follow-Up
Bibliographic record
Abstract
Previous longitudinal cohort studies have suggested an association between baseline depressive symptoms and incident hypertension. We assessed this possible association using data from the Multi-ethnic Study of Atherosclerosis, a population-based prospective cohort study of 6814 US adults from 4 different racial/ethnic groups. Baseline users of antihypertensive medications and participants lost to follow-up were excluded leaving 3914 participants. Patients with baseline depressive symptoms (n=622) were defined using a high score on the Center for Epidemiological Studies Depression Scale (>or=16) or the use of an antidepressant medication. Hypertension was defined as systolic blood pressure of >or=140 mm Hg, diastolic blood pressure of >or=90 mm Hg or new use of antihypertensive medications plus physician diagnosis. Estimates were adjusted for known risk factors, including age, sex, baseline blood pressure, diabetes, and body mass index. Untreated blood pressure was estimated using an imputation approach. A total of 477 participants developed hypertension. Using relative risk regression, patients with baseline depressive symptoms did not have an increased risk of incident hypertension (relative risk: 1.02; 95% confidence interval [CI]: 0.99 to 1.05), although an association between tricyclic antidepressants and hypertension (relative risk: 1.20; 95% CI: 1.05 to 1.37) was observed in subgroup analysis. Depression, even after adjustment for covariates, was associated with small changes in systolic (+2.4 mm Hg; 95% CI: 0.2 to 4.7) and diastolic (+0.8 mm Hg; 95% CI: -0.6 to 2.3) blood pressures. Depressive symptoms may be associated with slight increases in blood pressure in this multiethnic cohort, but it is premature to conclude much without longer studies in other populations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.001 |
| 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".