One-Day Online Cognitive Behavioral Therapy–Based Workshops for the Prevention of Postpartum Depression
Bibliographic record
Abstract
Postpartum depression (PPD) affects up to 1 in 5 birthing parents and is associated with more future depressive episodes. We aimed to determine if PPD could be prevented with online 1-day cognitive behavioral therapy (CBT)-based workshops. major depressive disorder (MDD). Participants received the workshop plus treatment as usual (TAU; experimental group) or TAU alone (control group). We assessed MDD diagnosis, levels of PPD symptoms, anxiety, social support, mother-infant relationship, and infant temperament at 1, 2, and 3 months postpartum. The primary outcome was MDD at 3 months postpartum assessed using the Mini-International Neuropsychiatric Interview. <.05) in PPD and anxiety at 2 months postpartum. Eligibility criteria resulted in a sample that did not develop MDD at rates high enough to continue the trial and limited study statistical power. Definitive conclusions regarding the effectiveness of online 1-day workshops for preventing PPD are not possible, but these results may warrant future testing with a higher risk sample. ClinicalTrials.gov identifier: NCT05753176.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".