Trajectories of Depressive Symptoms and Perceived Stress From Pregnancy to the Postnatal Period Among Canadian Women: Impact of Employment and Immigration
Bibliographic record
Abstract
Objectives. To identify trajectory patterns of maternal depressive symptoms and perceived stress from midpregnancy to 2 years postpartum and determine relationships with selected sociodemographic factors including income, education, immigration, and postpartum employment. Methods. Pregnant women (n = 3307) recruited from the general population in 4 regions in Canada provided 6 waves of data from pregnancy to 2 years postpartum. The study was conducted from 2009 to 2015. Results. We determined 5 trajectory groups distinguished by time and magnitude for both depressive symptoms and perceived stress. Immigrants living in Canada for more than 5 up to 10 years, but not more recent arrivals, were at higher risk for persistent stress and depression independent of income status. Being employed at 1 year postpartum was associated with a lower likelihood of postpartum depression and perceived stress, while mothers reporting work exhaustion were substantially more likely to experience persistent depression and stress. Conclusions. The study highlighted the heterogeneous nature of depressive symptoms and perceived stress. Targeting interventions toward women 5 to 10 years after immigration and those experiencing exhaustion from postpartum work may be particularly beneficial.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".