Marital Status, Duration of Cohabitation, and Psychosocial Well-Being Among Childbearing Women: A Canadian Nationwide Survey
Bibliographic record
Abstract
OBJECTIVES: We examined the joint associations of marital status and duration of cohabitation on self-reported intimate partner violence, substance use, and postpartum depression among childbearing women. METHODS: We analyzed data from the 2006-2007 Canadian Maternity Experiences Survey, a cross-sectional nationwide sample of 6421 childbearing women. Cohabiting women were married or nonmarried women living with a partner; noncohabiters were single, divorced, or separated women. We further categorized cohabiters by their duration of cohabitation (≤ 2, 3-5, or > 5 years). We used logistic regression to generate adjusted odds ratios and 95% confidence intervals. RESULTS: About 92% of women were cohabiters. Compared with married women living with a husband more than 5 years, unmarried women cohabiting for 2 years or less were at higher odds of intimate partner violence (adjusted odds ratio [AOR] = 4.64; 95% confidence interval [CI] = 2.85, 7.56), substance use (AOR = 5.36; 95% CI = 3.06, 9.39), and postpartum depression (AOR = 1.87; 95% CI = 1.25, 2.80); these risk estimates declined with duration of cohabitation. CONCLUSIONS: Research on maternal and child health would benefit from distinguishing between married and unmarried cohabiting women, and their duration of cohabitation.
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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 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".