Hypertensive Disorders of Pregnancy and Symptoms of Depression and Anxiety as Related to Gestational Age at Birth: Findings From the All Our Families Study
Bibliographic record
Abstract
OBJECTIVE: The aim of the study was to investigate whether symptoms of depression or state anxiety changed the strength or nature of the association between hypertensive disorders of pregnancy (HDP) and gestational age at birth. METHODS: We conducted a secondary analysis of data from the All Our Families Cohort, a prospective pregnancy cohort study based in Calgary, Alberta, Canada. Self-reported depressive symptoms and state anxiety were assessed between 3 and 5 months of gestation, and obstetrical information, including diagnosis of HDP, parity, type of delivery, and gestational age at birth, was retrieved from the maternal discharge abstract. All models were adjusted for sociodemographic and obstetric confounders. RESULTS: Of 2763 women who had a singleton pregnancy and live birth, 247 (9%) were diagnosed with HDP. Women with HDP had significantly shorter gestational length relative to those without the diagnosis (M = 37.87 versus M = 38.99 weeks of gestation), t(2761) = 9.43, p < .001. Moderation analyses showed significant HDP by depressive symptoms and HDP by state anxiety interactions, such that the strength of the association between HDP and gestational age at birth increased alongside greater depressive symptom and state anxiety severity. CONCLUSIONS: Results suggest that depressive symptoms and state anxiety may add to the increased risk for shortened gestation associated with HDP. Women at high risk of cardiovascular complications during pregnancy may benefit from additional resources to manage symptoms of depression or anxiety.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".