Further psychometric testing of a brief personality scale to measure vulnerability to postpartum depression
Bibliographic record
Abstract
The Vulnerability Personality Style Questionaire (VPSQ), a 9-item self-report personality scale, was developed to identify women at-risk for postpartum depression due to personality vulnerability. Preliminary research with this scale suggests it has satisfactory psychometric properties. The purpose of this methodological study was to further examine the psychometric properties of the VPSQ in a sample of Canadian women. As part of a longitudinal study, women completed postal questionnaires at 1, 4, and 8 weeks postpartum that included the VPSQ, Edinburgh Postnatal Depression Scale, Rosenburg Self-Esteem Scale, and Perceived Stress Scale. Five hundred and ninety-four women returned questionnaires suitable for analysis. The Cronbach's alpha coefficient for the VPSQ was 0.67 and significant correlations between the VPSQ and self-esteem (r = 0.58) and perceived stress (r = 0.55) scales were found, providing evidence for construct validity. In a logistic regression analysis, VPSQ was predictive of developing depressive symptomatology 1, 4 and 8 weeks postpartum; an increase of one point on the VPSQ increased the risk of developing postpartum depression 1.3 fold. The results from this study support the overall utility of the VPSQ. As such, this brief instrument is ready to assist in the identification of women at-risk of developing postpartum depression such that appropriate secondary preventive or treatment interventions may be initiated.
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 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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".