Salivary cortisol during memory encoding in pregnancy predicts postpartum depressive symptoms: a longitudinal study
Bibliographic record
Abstract
INTRODUCTION: Postpartum depression (PPD) is a common disorder that substantially decreases quality of life for both mother and child. In this longitudinal study, we investigated whether emotional memory, salivary cortisol (sCORT) or alpha-amylase during pregnancy predict postpartum depressive symptoms. METHODS: Forty-four pregnant women (14 euthymic women with a diagnosis of major depressive disorder [MDD] and 30 healthy women) between the ages of 19 and 37 years (mean age = 29.5±4.1 years) were longitudinally assessed in the 2nd trimester of pregnancy (12-22 weeks of gestational age) and again at 14-17 weeks postpartum. Depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS). RESULTS: Follow-ups were completed for 41 women (7% attrition). Postpartum EPDS scores were predicted by sCORT collected immediately after an incidental encoding memory task during pregnancy (b=-0.78, t -2.14, p=0.04). Postpartum EPDS scores were not predicted by positive (p=0.27) or negative (p=0.85) emotional memory. CONCLUSIONS: The results of this study indicate that higher levels of sCORT during a memory encoding task in the 2nd trimester of pregnancy are associated with lower postpartum EPDS scores. While the hypothalamus-pituitary-adrenal (HPA) axis has long been associated with the neurobiology of MDD, the role of the HPA axis in perinatal depression deserves more attention.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".