Anxiety and Arterial Stiffness in High‐Risk Pregnancies: A Secondary Analysis of a Prospective Cohort Study
Bibliographic record
Abstract
OBJECTIVES: In a high-risk pregnant population with singleton pregnancies, the primary objective was to evaluate the association between anxiety and arterial stiffness (AS) and the secondary objective was to investigate whether anxiety is associated with the incidence of preeclampsia. DESIGN: Secondary analysis of a prospective cohort study (2012-2016). SETTING: Two tertiary care antenatal clinics in Montreal, Canada. PARTICIPANTS: High-risk pregnant individuals with pre-existing hypertension, diabetes, renal dysfunction, previous preeclampsia, or age ≥ 35 years were included. Exclusion criteria were excessive alcohol or drug use and cardiovascular disease. People with pregnancy loss, incomplete questionnaires and loss to follow-up were excluded from analysis. METHODS: Participants were enrolled before 14-weeks' gestation, with follow-up assessments of AS every 4 weeks until delivery. Anxiety symptoms were assessed every trimester by the Beck Anxiety Inventory and by self-reported history of emotional disorders (anxiety/depression). MAIN OUTCOME MEASURES: AS and wave reflection parameters, primarily carotid-femoral pulse wave velocity and preeclampsia diagnosis. RESULTS: Of 235 individuals recruited, 161 were included in this secondary analysis. Baseline anxiety symptoms were present in 35.4% of participants. Anxiety was associated with a significant increase in carotid-femoral pulse wave velocity across gestation, which persisted after adjustments for relevant confounders, in a combined mixed-effects model (B = 0.27, 95% confidence interval [CI] = 0.008-0.530, p = 0.04). A severity-response relationship was observed, where greater anxiety severity correlated with higher AS. Twelve participants (7.5%) developed preeclampsia. The association between anxiety and preeclampsia risk showed a non-significant trend (odds ratio [OR] = 2.77, 95% CI = 0.84-9.18). However, a history of emotional disorders significantly elevated preeclampsia risk (OR = 3.91, 95% CI = 1.14-13.40), independent of other risk factors. CONCLUSIONS: Anxiety in high-risk pregnancies is associated with increased AS in a severity-response manner, and may be associated with preeclampsia risk. Integrating psychological health assessments with traditional obstetric evaluations could enhance the prediction and management of maternal complications.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".