Development of a revised and abbreviated version of the postpartum bonding questionnaire (PBQ‐R): First U.S. validation and association to child outcomes
Bibliographic record
Abstract
The postpartum bonding questionnaire (PBQ) is a maternal-reported 25-item measure of bonding, available in 15 languages, and widely used for clinical and research purposes in the United States (U.S.) and across the globe. Nonetheless, its putative 4-factor structure initially proposed in 2001 has never generalized or been replicated in other samples, nor has it been studied in U.S. populations. Using a U.S.-based sample of 610 English-speaking mothers who completed the PBQ 4 months postpartum-mean 32.51 ± 5.25 years old and 47.5% first-time mothers-the initial goal of this study was to confirm the 4-factor/25-item structure of the PBQ. Aligned with other published studies, our confirmatory factor analysis did not support the 4-factor/25-item structure. We then used exploratory factor analysis which supported the creation of a 1-factor/14-item abbreviated measure, the PBQ-R. Unlike previous versions of the PBQ, the PBQ-R is scored so that higher scores indicate stronger bonding. The validity of the PBQ-R was supported by its high internal consistency in this sample (w = 0.89), and correlations with maternal depression (ρ = -0.46) and child neurodevelopment (ρ = 0.11 to ρ = 22) and socio-emotional symptoms (ρ = -0.22 to ρ = -0.33). The new unidimensional shorter PBQ-R is suitable for use in the U.S. as a measure of general mother-infant bonding.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".