Risk factors for hospitalizations associated with depression among women during the years around a birth: a retrospective cohort study
Bibliographic record
Abstract
INTRODUCTION: Socio-economic status (SES) is an important determinant of health. Low SES is associated with higher rates of prenatal and post-partum depression, and prenatal and post-partum depression are associated with sub-optimal maternal and infant health. Furthermore, increased negative effects of post-partum depression have been reported in children from low SES backgrounds. OBJECTIVE: To assess whether SES was related to the risk of a medical or psychiatric hospitalization associated with depression (HAWD) and the risk of a HAWD by anti-depressant (AD) use during the years around a birth. METHODS: This retrospective cohort study used linked birth, hospitalization, prescription and tax-file records of the study cohort. We linked registry data of 243,933 women delivering 348,273 live infants in British Columbia (1999-2009). The outcomes of interest were a HAWD and a HAWD with the associated patient AD use. Ranked area-based measures of equivalised, family disposable income were used to create income deciles, our proxy for SES. Decile-1 represented the lowest income areas, and mothers from Decile-6 (middle-income) were the comparator group. Anti-depressant use was defined as having a prescription for a selective serotonin reuptake inhibitor (SSRI) or other AD during the years around a birth, defined as the period beginning 12 months before conception and ending 12 months after the birth. We analysed by pregnancy using mixed effects logistic regression whilst adjusting for maternal age and parity. RESULTS: Compared to mothers from middle-income areas (Decile-6), mothers from low income areas (Decile-1, Decile-2) had increased odds of a HAWD [adjusted OR=1.77 (CI: 1.43, 2.19); adjusted OR=1.56 (CI: 1.26, 1.94)]. Mothers from low income areas with depression and no AD use had even higher odds of a HAWD [adjusted OR=1.83 (CI: 1.33, 2.20); adjusted OR=1.71(CI: 1.33, 2.20)]. CONCLUSIONS: This study provides preliminary evidence to suggest that barriers to treating depression with ADs in mothers from low income areas during the years around a birth might contribute to their increased risk of a HAWD associated with non-pharmacologically treated depression. Further research is needed to understand the reasons for this increased risk. DISCLAIMER: All inferences, opinions, and conclusions drawn in this manuscript are those of the authors and do not reflect the opinions or policies of the Data Stewards of Population Data BC.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".