Mommy Meltdown: Understanding Racial Differences Between Black and White Women in Attitudes About Postpartum Depression and Treatment Modalities
Bibliographic record
Abstract
BACKGROUND: Postpartum depression is a major public health problem, but limited information is available about risk factors and attitudes of minority women about postpartum depression. The objective of this study is to determine attitudes of minority women toward postpartum depression and treatment. METHODS: -test for continuous data. RESULTS: Black and white participants were comparable in age, distribution of gestational age at birth, delivery type and pregnancy complications. The diagnosis of postpartum depression was not different in either population (two black and three white women; P = 0.667). Black participants were referred less frequently to counseling as treatment (5% vs. 30%; P = 0.052) but both black and white study participants viewed counseling as helpful (84% vs. 80%; P = 0.345). Black participants had a lower frequency of family history of depression (11% vs. 40%; P = 0.052) but both study groups were comfortable discussing the topic with their families, felt that their families were not ashamed of any social stigma about depression, and would be supportive of either counseling or medications as a treatment modality. CONCLUSIONS: Postpartum depression was common among our patients regardless of race. Most black and white women were willing to discuss depression with their families and accept treatment. Despite previous evidence to the contrary, black women stated that they were open to counseling as treatment for depression.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".