PATHWAYS FOR WOMEN’S INFORMATION LEVELS REGARDING PRENATAL AND POSTNATAL HEALTH AND POSTPARTUM DEPRESSION
Bibliographic record
Abstract
Seeking healthcare information can increase an individual’s health knowledge and improve self-care capabilities. Despite recognition that information may influence health behaviours, there is limited research on the explicit relationship between acquired pre- and postnatal health information levels and postpartum depression (PPD). Data for primiparous and multiparous subjects were analyzed from the 2006 Maternity Experiences Survey developed by Statistics Canada and the Public Health Agency of Canada. The first objective examines pathways of women’s pre- and postnatal health information levels. The second objective assesses the influence of information levels on PPD development. A Multiple-Indicator Multiple- Cause (MIMIC) model was designed with the Edinburgh Postnatal Depression Scale (EPDS) as the outcome measure. Income and perceived level of prenatal and postnatal social support were statistically significant predictors of acquired information levels. Increased information levels on ‘postnatal concerns’, ‘medical concerns’, ‘negative feelings’ and Tabour/birth experience’ topics were significantly associated with lower EPDS scores.
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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 | 0.000 | 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 | 0.004 |
| 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".