Predictors of Recovery from Depression and Anxiety in Women: A Longitudinal Study from Childbirth to 6 Years
Bibliographic record
Abstract
OBJECTIVE: This study prospectively examined maternal biopsychosocial predictors of recovery from comorbid depression and anxiety from 25 weeks' gestation to 6 years postbirth. Specifically, the study investigated the influence of 1) maternal factors and 2) the child's behaviours and physical health on the course of the mother's depressed mood and anxiety. METHODS: Eighty-six women diagnosed with antenatal depression/anxiety were recruited through the Reproductive Mental Health Program and family practices in Vancouver. Based on the trajectory and status of their symptom remission, participants were categorised into 3 groups: full recovery, partial recovery, and no recovery. The following measures were completed over 6 years: Hamilton Anxiety Rating Scale (HAM-A) and Hamilton Depression Rating Scale (HAM-D) at baseline; Parental Stress Index (PSI) added at 6 months postpartum; Beck Anxiety Inventory (BAI), Beck Depression Inventory II (BDI-II), and Child Behavior Checklist (CBCL) at 3 years postbirth; and HAM-A, HAM-D, MacArthur Health and Behavior Questionnaire (HBQ-P), and PSI at 6 years postbirth. RESULTS: Factors that predicted full recovery from depression included the absence of maternal health concerns, low total parental stress, and few child behavioural issues, whereas low levels of spousal stress were a significant factor in achieving full recovery from anxiety. CONCLUSION: A variety of maternal and child-related factors govern full recovery or sustained remission of depression/anxiety in the postpartum up to 6 years postbirth. Early awareness of these predictors could lead to timely interventions, ensuring long-term maternal-child well-being.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".