Child Marriage and Sexual Autonomy among Women in Sub-Saharan Africa: Evidence from 31 Demographic and Health Surveys
Bibliographic record
Abstract
Child marriage has a variety of undesirable consequences at the peril of women's health and autonomy. In this study, we examined the association between child marriage and sexual autonomy among women in sub-Saharan Africa. We utilised data from the most recent Demographic and Health Surveys conducted in 31 countries in sub-Saharan Africa between 2010 and 2019. A total of 218,578 women aged 20-49 were included in this study. Multivariable binary logistic regression models were used to show the association between child marriage and sexual autonomy. Crude odds ratio (cOR) and adjusted odds ratio (aOR) were used in presenting the results. The prevalence of child marriage and sexual autonomy was 44.51% and 83.35%, respectively. Compared to women who married at 18 years or above, those who married at less than 18 were less likely to have sexual autonomy, and this persisted after controlling for important covariates. In terms of the country-specific results, women who experienced child marriage were less likely to have sexual autonomy in Burundi, Congo DR, Nigeria, and Niger. With the covariates, lower odds of sexual autonomy were found among women with no formal education, those whose partners had no formal education, those who were not exposed to media, and non-working women. Child marriage was found to be associated with sexual autonomy. There is a need to strengthen policies and programmes such as compulsory basic education, poverty alleviation, and an increase in access to media that aim at reducing child marriage. These interventions will help to improve sexual autonomy among women, especially in this 21st century where individuals and organisations incessantly advocate for gender equality.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".