Bibliographic record
Abstract
BACKGROUND: Postpartum depression (PPD) is the most common complication of childbirth and affects one in nine new mothers in the United States. OBJECTIVE: The purpose of this review was to synthesize PPD research in American Indian/Alaska Native (AI/AN) women. Specific aims were to 1) explore the extent to which PPD literature includes AI/AN women measured by the proportion of study samples that were AI/AN women and 2) identify and analyze gaps in the PPD literature for AI/AN women. DESIGN: Databases were searched using: "postpartum depression" and "American Indian," "Native American," "Alaska Native," "Inuit," and "Indigenous." "Postpartum depressive symptoms" and "puerperal mood disorder" were each paired with race/ethnicity search terms, yielding a final sample of nine articles. RESULTS: The proportion of study samples that were AI/AN women ranged from 0.8% to 100%. Compared with all women in the United States (11%), AI/AN women have higher PPD prevalence (14%-29.7%), suggesting a disparity among the different groups of women. Screening instruments were inconsistent among studies, and not all studies used a screening instrument specific to PPD. No cultural influences, risk, or protective factors were reported for AI/AN women. In the only intervention study, no significant differences in PPD symptoms between groups were found after the intervention. CONCLUSIONS: This review uncovered significant gaps in the literature and suggested ways to advance the PPD science for AI/AN women. Clinical implications were described.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".