Maternal Uncontrolled Anxiety Disorders Are Associated With the Increased Risk of Hypertensive Disorders in Japanese Pregnant Women
Bibliographic record
Abstract
BACKGROUND: We examined the risk of hypertensive disorders in relation to maternal depressive and anxiety disorders which were diagnosed before or during early pregnancy in Japanese women. METHODS: We reviewed the obstetric records of all Japanese singleton deliveries at ≥ 22 weeks' gestation managed at the Japanese Red Cross Katsushika Maternity Hospital between 2009 and 2014. Potential risk factors for hypertensive disorders with maternal depressive and anxiety disorders were selected as follows: maternal age, parity, medications, self-interruption of medications and economic problems. RESULTS: The incidence of hypertensive disorders did not increase in the pregnant women with depressive disorders compared with that in the normal control pregnant women (P = 0.96). However, the incidence of hypertensive disorders in the women with anxiety disorders was higher than that in the control women (odds ratio (OR): 2.61, 95% confidence interval (CI): 1.4 - 5.0, P < 0.01). In the women with anxiety disorders, 19% performed self-interruption of medications during pregnancy, and it was associated with the increased risk of hypertensive disorders (vs. no medication group, OR: 7.50, 95% CI: 1.5 - 38, P = 0.03; vs. medication group, OR: 16.0, 95% CI: 2.4 - 110, P < 0.01). CONCLUSIONS: Maternal uncontrolled anxiety disorders due to self-interruption of medications seemed to be associated with the increased risk of hypertensive disorders in Japanese pregnant women.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".