Antenatal Depression and Anxiety Affect Postpartum Parenting Stress: A Longitudinal, Prospective Study
Bibliographic record
Abstract
OBJECTIVE: Postpartum depression has been associated with parenting stress, impacting attachment and child development. However, the relation between antenatal depression or anxiety and postpartum parenting stress has not been investigated. We studied the effect of antenatal depression and anxiety and treatment with selective serotonin reuptake inhibitors and selective norepinephrine reuptake inhibitors (antidepressants [ADs]) on postpartum parenting stress. METHOD: Ninety-four pregnant women (part of a larger study examining prenatal AD exposure on infants) were prospectively monitored for depression and anxiety during the third trimester and 3- and 6-months postpartum using the Hamilton Depression Rating Scale (HDRS) and Hamilton Anxiety Rating Scale. Parenting stress was assessed using the Parenting Stress Index-Short Form at 3- and 6-months postpartum. RESULTS: Both antenatal third trimester depression and anxiety were significant predictors of 3- and 6-month postpartum parenting stress, after controlling for maternal age, number of children, and exposure to prenatal ADs (all Ps < 0.001). Third trimester depression accounted for 13% to 22% of the variance in postpartum stress at 3 and 6 months. Prenatal AD use was not a significant predictor in any of the models (all Ps > 0.2). Twenty of 41 mothers on ADs achieved remission (HDRS = 7) in pregnancy and had average parenting stress scores of about 1 standard deviation lower than those who did not at 3- and 6-months postpartum (t = 3.32, df = 32, P = 0.002 and t = 2.52, df = 32, P = 0.02, respectively). CONCLUSIONS: Our findings indicate that antenatal depression and anxiety directly impact postpartum parenting stress, regardless of antenatal AD treatment. Ongoing maternal mental illness in pregnancy is an important predictor of postpartum parenting stress. Early recognition and treatment to remission is key.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".