Prevalence and sociodemographic correlates of marriage among adolescent mothers in Canada, 1989–2018
Bibliographic record
Abstract
OBJECTIVES: Female marriage before age 18 is a global health issue related to gender inequality, but it is understudied in Canada. This study examined marriage trends among mothers aged < 18 versus older mothers and the sociodemographic correlates of marriage among adolescent mothers aged < 18 and older adolescent mothers. METHODS: Using the Canadian Vital Statistics - Birth Database, marriage prevalence was estimated by maternal age groups (< 18-year, 18-19-year, 20-24-year, and 25-49-year) between 1989-1990 and 2017-2018 (n = 10,399,250). Multivariable logistic regression was then used to examine the sociodemographic characteristics associated with marriage within adolescent maternal age group (< 18-year, 18-19-year, and 20-24-year) among births registered between 2000 and 2018. RESULTS: From 1989-1990 to 2017-2018, marriage prevalence declined 80.5%, 60.2%, 47.3%, and 16.0% in the < 18-year, 18-19-year, 20-24-year, and 25-49-year groups, respectively. Within the < 18-year, 18-19-year, and 20-24-year adolescent maternal age groups, older maternal age, larger parental age gap, foreign-born parents, rurality, and earlier birth period were associated with higher adjusted odds of marriage. Higher maternal neighbourhood income was associated with marriage among births to mothers aged 18-19 and 20-24 years but not among those to mothers aged < 18 years. CONCLUSION: Marriage prevalence declined among mothers of all ages, but the shifts away from marriage appear stronger among younger mothers. The sociodemographic correlates of marriage are generally similar among mothers below age 18 and slightly older adolescent mothers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".