Abstract P201: First Trimester Anxiety Is Associated With Increased Arterial Stiffness In High-risk Pregnant Women
Bibliographic record
Abstract
Preeclampsia is a leading pregnancy complication characterized by vascular dysfunction, leading to hypertension and organ damage. Evidence suggests positive associations between higher arterial stiffness and preeclampsia, as well as anxiety and preeclampsia. Anxiety, a transdiagnostic factor, is also associated with increased arterial stiffness in the general population, but no reports exist in pregnant women. Moreover, the association between anxiety and arterial stiffness in pregnancy and the risk of developing preeclampsia has not yet been explored. To address this gap, we aimed to evaluate the role of anxiety in arterial stiffness measurements and the development of preeclampsia in high-risk pregnant women. In this prospective study, women with high-risk singleton pregnancies before 14 weeks gestation were recruited at two tertiary care obstetric clinics in Montreal, Canada, and followed throughout pregnancy. Arterial stiffness parameters (carotid-femoral pulse wave velocity [cfPWV]) were measured at baseline (10-13 weeks gestation) and at four-week intervals throughout pregnancy. Self-reported anxiety symptoms were recorded using the Beck Anxiety Inventory, and participants’ scores were ranked as having minimal, mild, moderate, or severe anxiety. After excluding incomplete questionnaires, the total study sample comprised 156 women, of whom 10 (6.4%) developed preeclampsia. There was no difference in anxiety scores between groups based on baseline characteristics (i.e., age, BMI, and race). First trimester anxiety scores were associated with increased cfPWV in the early and late second trimester time points (p=0.02, p= 0.04, respectively). Higher baseline anxiety was also associated with a greater increase in cfPWV from baseline to 18 weeks gestation (p=0.04). A trend was also observed between baseline anxiety scores and the development of preeclampsia (p=0.07). Anxiety in the first trimester of pregnancy is associated with higher cfPWV values and a greater increase from the first to the second trimester, as well as potentially a higher risk for preeclampsia. Our ongoing study will further explore these findings as they can have important implications for patient prenatal care.
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 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".