The Role of Social Support in Perinatal Mental Health andPsychosocial Stimulation
Bibliographic record
Abstract
Social support refers to the help someone receives emotionally or instrumentally from their social network. Poor social support in the perinatal period has been associated with increased risk for symptoms of common mental disorders, including depression and posttraumatic stress symptoms (PTS), which may impact parenting behavior. Whether social support impacts parenting behaviors, independent of mental health symptomatology, remains unclear. Among N=309 participants of the Scaling Up Maternal Mental healthcare by Increasing access to Treatment (SUMMIT Trial), a large perinatal depression and anxiety treatment trial, we explored the relations between perceived social support, perinatal depressive and PTS symptoms, and psychosocial stimulation provided by the parent in their home environment. Social support was measured at baseline using the Multidimensional Scale of Perceived Social Support (MSPSS). Perinatal depressive symptoms were measured by the Edinburgh Postnatal Depression Scale (EPDS) and PTS symptoms were measured by the Abbreviated PTSD Checklist (PCL-6) at baseline, 3-, and 6-months post-randomization. Psychosocial stimulation was assessed by the Home Observation Measurement of the Environment (HOME) when the infant was between 6 to 24 months. Using stepwise hierarchical regressions, we found: (1) perceived social support at baseline significantly predicted both depressive and PTS symptoms at 3-months post-randomization, even when controlling for baseline depressive and PTS symptoms; and (2) while neither depressive nor PTS symptoms were significantly associated with psychosocial stimulation, perceived social support at baseline was a significant predictor. Clinical implications regarding treatment of perinatal patients are discussed.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".