PSYCHOSOCIAL STRESS PARTIALLY MEDIATES THE ASSOCIATION BETWEEN RACE AND PRENATAL DEPRESSIVE SYMPTOMS IN A SAMPLE OF PREGNANT WOMEN IN ALBERTA
Bibliographic record
Abstract
Introduction Prenatal depression is a serious maternal-child health concern; risk factors and health consequences appear more prevalent in Aboriginal communities and ethnic minority groups. However, research on these populations is limited. We examined the following questions: A) How do pregnant Aboriginal women, ethnic minority women and White/Caucasian women compare on levels of depressive symptoms, and on major risk and protective factors? B) Is non-dominant race associated with higher depressive symptoms? C) Through what pathways may race operate to contribute to depressive symptoms? Methods Data were from the All Our Babies study (n=3354 pregnant women from Alberta recruited between 2008–2011). Depressive symptoms were measured with the Edinburgh Postnatal Depression Scale (EPDS). Descriptive statistics and multivariable regression methods were used to assess the following hypotheses: We hypothesized that Aboriginal and ethnic minority women would have significantly higher mean EPDS score estimates relative to White/Caucasian women. The association between race and EPDS score was hypothesized to be partially mediated by risk factors such as socioeconomic factors, health background factors, discrimination, domestic violence, and psychosocial stress. Potential confounders were age, marital status, and parity. Diet and social support were hypothesized as protective buffers between stress and depressive symptoms. Results White/Caucasian women appeared to have higher income, better employment and higher social support, and have significantly lower depressive symptoms. The association between race and depressive symptoms appeared partially mediated by socioeconomic factors and psychosocial stress; the attenuation with addition of stress in the model was particularly striking. However, race remained highly statistically significant as a predictor. Social support appeared to moderate the association between stress and depressive symptoms. Conclusion Mental health disparities between pregnant White/Caucasian women and other women are driven by social disparities. A better understanding of the determinants of prenatal depression in specific populations may facilitate more effective public health and clinical interventions.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".