Postpartum Depression and Help‐Seeking Behavior
Bibliographic record
Abstract
The objective of this analysis was to investigate the demographic differences between women who report postpartum depression symptoms (PPDS) and seek help versus those who report symptoms but who do not seek help, using data from the Utah Pregnancy Risk Assessment Monitoring System (PRAMS) 2004 dataset. Overall, 14.7% of Utah women reported experiencing PPDS in 2004. Sixty percent of the women who reported having PPDS did not seek help. Seeking help for depression during pregnancy was associated with help-seeking behavior postpartum (adjusted odds ratio [aOR] = 0.1; 95% confidence interval [CI], 0.04-0.2). Other factors associated with seeking help included having an infant admitted to the intensive care unit (aOR = 0.4; 95% CI, 0.2-0.9) and rural residency (aOR = 0.3; 95% CI, 0.2-0.7). Nonwhite women were 12.1 times (95% CI, 3.0-48.5) more likely to not seek help for depression compared to white women. Further, Hispanic women (aOR = 3.2; 95% CI, 1.3-8.1) and women who experienced emotional abuse had increased odds of not seeking help (aOR = 2.9; 95% CI, 1.3-6.2). Nearly 15% of Utah women in this study reported PPDS, yet fewer than half sought help. Target populations, such as nonwhite, Hispanic, emotionally abused, and urban women, have been identified for public health interventions.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".