Interpersonal Violence Around Pregnancy Experienced by Rural and Urban Canadian Women: Correlates and Selected Health Outcomes
Bibliographic record
Abstract
Interpersonal violence around pregnancy is of increasing global public health concern affecting both women themselves and their children. The primary aim of this study is to explore and identify potential correlates of such violence and to examine maternal and birth outcomes subsequent to that violence in a nationally representative sample of urban and rural women in Canada. The data are from the Maternity Experiences Survey (MES), a Canadian population-based postcensus survey administered to 6,421 Canadian mothers in 2006. Survey participants were 15 years and older and had given birth to a singleton and continued to live with their infant at the time of the survey. The survey response rate was 78%. Multivariable logistic regression analyses were used in the analysis with adjustments made for confounding variables. The study findings indicated that living in an urban environment was associated with an increased risk of interpersonal violence experience around the time of pregnancy ( OR = 1.31, 95% CI: 1.03-1.66). In addition, being aboriginal, young, unmarried, economically disadvantaged, a nonimmigrant, and having more than four pregnancies, as well as cigarette smoking, alcohol drinking and drug use before the pregnancy were correlated with interpersonal violence around pregnancy. Maternal interpersonal violence experiences were also associated with postnatal depression and stressful life events among both urban and rural mothers. However, maternal interpersonal violence experiences were only associated with preterm birth among rural mothers but not among urban mothers. The present study highlights the need to implement effective interventions for women experiencing interpersonal violence around pregnancy due to its potential impact on maternal and newborn’s physical and mental health. Screening and intervention should be targeted high-risk women particularly those who are indigenous, young, unmarried, nonimmigrants, of lower socioeconomic status, and manifesting high risk health behaviors.
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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 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| 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".