Rates of Major Depressive Disorder and Bipolar Disorder in Black and White Postpartum Women
Bibliographic record
Abstract
Importance: Little is known about differences between Black and White women with respect to the prevalence of postpartum mood disorders or symptom presentations. Objective: To determine the prevalence and characteristics of postpartum major mood disorders in Black and White women at 4–6 weeks after birth. Methods: This is a secondary analysis of a large-scale study designed to screen women for postpartum depression with the Edinburgh Postnatal Depression Scale (EPDS) and collect symptom data. Data were collected at an urban maternity hospital in an academic setting in Pittsburgh, Pennsylvania. Of the 2,019 women who screened positive and accepted a psychiatric diagnostic interview, 163 and 85 Black women had major depressive and bipolar disorders, respectively, and 508 and 177 White women had major depressive and bipolar disorders, respectively. Those with an EPDS score greater than or equal to 10 were offered a psychiatric assessment (in-person at home or by telephone) with the Structured Clinical Interview for DSM IV using the Structured Interview Guide for the Hamilton Rating Scale for Depression, Atypical Depression Version symptom inventory, a questionnaire related to childhood and adulthood physical and sexual abuse, and the Short Form Survey 12. Participants who self-identified as Black or White were included in this analysis. Results: Among screen-positive participants, no significant difference in the rate of major depressive disorder (40% Black and 35% White) was observed. However, bipolar disorder significantly differed between Black (19.2%) and White (11.5%) women. Additionally, symptom profiles differed between Black and White participants with major depressive disorder, and a high rate of traumatic experiences was reported by participants with major depression and bipolar disorder in both racial groups. Conclusion: An understanding of the different presentations of postpartum mood disorders between Black and White women, as well as trauma-informed care, can optimize postpartum health care through supporting advocacy efforts for resource allocation and health care delivery. Trial Registration: Dataset from study at ClinicalTrials.gov identifier: NCT00282776. J Clin Psychiatry 2024;85(4):23m15023 Author affiliations are listed at the end of this article.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".