Antenatal psychosomatic programming to reduce postpartum depression risk and improve childbirth outcomes: a randomized controlled trial in Spain and France
Bibliographic record
Abstract
BACKGROUND: Postpartum depression (PPD) and poor childbirth outcomes are associated with poverty; these variables should be addressed by an adapted approach. The aim of this research was to evaluate the impact of an antenatal programme based on a novel psychosomatic approach to pregnancy and delivery, regarding the risk of PPD and childbirth outcomes in disadvantaged women. METHODS: A multi-centre, randomized, controlled trial comparing a novel to standard antenatal programme. Primary outcome was depressive symptoms (using EPDS) and secondary outcome was preterm childbirth (fewer 37 weeks). The sample comprised 184 couples in which the women were identified to be at PPD risk by validated interview. The study was conducted in three public hospitals with comparable standards of perinatal care. Women were randomly distributed in to an experimental group (EG) or a control group (CG), and evaluated twice: during pregnancy (T1) and four weeks post-partum (T2). At T2, the variables were compared using the chi square test. Data analysis was based on intention to treat. The novel programme used the Tourné psychosomatic approach focusing on body awareness sensations, construction of an individualized childbirth model, and attachment. The 10 group antenatal sessions each lasted two hours, with one telephone conversation between sessions. In the control group, the participants choose the standard model of antenatal education, i.e., 8 to 10 two-hour sessions focused on childbirth by obstetrical prophylaxis. RESULTS: A difference of 11.2% was noted in postpartum percentages of PPD risk (EPDS ≥ 12): 34.3% (24) in EG and 45.5% (27) in CG (p = 0.26). The number of depressive symptoms among EG women decreased at T2 (intragroup p = 0.01). Premature childbirth was four times less in EG women: three (4.4%) compared to 13 (22.4%) among CG women (p = 0.003). Birth weight was higher in EG women (p = 0.01). CONCLUSIONS: The decrease of depressive symptoms in women was not conclusive. However, because birth weight was higher and the rate of preterm childbirth was lower in the EG, our results suggest that the psychosomatic approach may be more helpful to the target population than the standard antenatal programs.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".