Are Past Adverse Pregnancy Outcomes Associated with Maternal Anxiety and Depressive Symptoms in a Sample of Currently Pregnant Women?
Bibliographic record
Abstract
BACKGROUND: There has been a great deal of concern about the mental health of women whose pregnancies involve miscarriage, termination of a pregnancy (ToP), child death or where a child has been given up for adoption. Despite this concern there has been remarkably little population-based research which has addressed the long-term consequences of pregnancy loss and child death. This study investigated the maternal mental health consequences of women whose pregnancies involve miscarriage, ToP, child death or where a child has been given up for adoption at two different time points, adjusting for socio-demographic characteristics and baseline mental health. METHODS: The Mater-University of Queensland Study of Pregnancy is a prospective pre-birth cohort study. Women were recruited early in pregnancy over the period 1981 to 1983 at their first antenatal clinic visit (FCV). Women were interviewed again at the 14-year follow-up. Data from 4403 mothers were analysed using maternal reports of a prior history of giving a child up for adoption, miscarriage, ToP, and neonatal, infant and/or child deaths. Symptoms of maternal anxiety and depression were measured at FCV and the 14-year follow-up using the Delusions-Symptoms-States Inventory. We carried out logistic regression analysis using Stata 13. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to display the findings. RESULTS: A prior miscarriage was associated with anxiety (adjusted OR (AOR) = 1.30; 95% CI: 1.10-1.66) and depressive (AOR = 1.70; 95% CI: 1.21-2.39) symptoms at the 14-year follow-up. Having had a neonatal, infant and/or child deaths was associated with symptoms of depression at 14-year follow-up (AOR = 2.12; 95% CI: 1.06-4.25). CONCLUSION: The period after a child loss which involves a new pregnancy may be associated with relatively good mental health despite the fact that some mothers have experienced previous adverse pregnancy outcomes.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".