Antenatal Depression in a Multi-Ethnic, Community Sample of Canadian Immigrants: Psychosocial Correlates and Hypothalamic-Pituitary-Adrenal Axis Function
Bibliographic record
Abstract
OBJECTIVES: Immigrant women living in Canada present with higher rates of prenatal depressive symptomatology than Canadian-born women; however, the associated psychosocial correlates remain understudied. Antenatal depression and stress negatively affect maternal health and infant development, in part through changes in maternal hypothalamic-pituitary-adrenal (HPA) axis activity. We aimed to examine the factors associated with prenatal depressive symptoms, including altered HPA axis function, in an ethnically diverse community sample of Canadian immigrant women. METHODS: Seventy-eight pregnant immigrant women were recruited from the community at 19 weeks' gestation and provided information on health, mood, stressful life events (SLEs), and social support. Fifty-seven of these women also provided saliva samples for measurement of the cortisol awakening response and nighttime cortisol levels. RESULTS: Seventeen per cent of the sample had a high level of prenatal depressive symptoms, and these women reported more perceived stress, more somatic symptoms, lower social support, and were less often working or attending school during pregnancy. Controlling for wake time, parity, and region of origin, high levels of prenatal depressive symptoms were associated with elevated nighttime cortisol levels, whereas SLEs were not associated with any measures of HPA axis activity. CONCLUSIONS: High levels of prenatal depressive symptoms are common in immigrant women living in Canada, and are associated with identifiable factors. Preliminary evidence suggests a similar pattern of HPA axis activity characterizing depressive symptomatology in this subpopulation as previously seen in clinically depressed patients.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 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".