The complexity of postpartum mental health and illness: a critical realist study
Bibliographic record
Abstract
The complexity of postpartum mental health and illness: a critical realist study Postpartum depression (PPD) is a major public health issue that profoundly impacts the woman, her infant and family. Although it may be linked to hormone changes, no direct hormonal aetiology has been established. A large body of evidence implicates numerous psychosocial predictors of PPD. While a history of depression predicts about 50% of cases of PPD, it remains unclear why some women with a history do not develop depression following childbirth, even taking psychosocial factors into account. The aim of this study was to identify the main mechanisms and factors associated with the presence or absence of PPD in women with a history of depression, and the presence of PPD in women without a history, using a critical realist approach. The findings indicate a number of personal and contextual factors that influence postpartum mental health and illness. In addition, and perhaps most importantly, women who did not develop depression identified goal-oriented actions that were protective. These factors and processes did not exist in isolation and the interplay among them in influencing health was apparent. More research is needed to explore the effects of these mechanisms in different contexts.
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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 | 0.018 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| 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".