Physical violence during pregnancy in sub-Saharan Africa: why it matters and who are most susceptible?
Bibliographic record
Abstract
OBJECTIVE: The study assessed the prevalence of physical violence against pregnant women and its associated factors in sub-Saharan Africa (SSA). DESIGN: We analysed cross-sectional data of 108971 women in sexual unions from the most recent Demographic and Health Surveys of 26 countries in SSA. The predictors of physical violence were examined using a multilevel binary logistic regression. All the results were presented as adjusted odds ratios (aORs) with their corresponding 95% confidence intervals (CIs). SETTING: Twenty-six countries in SSA. PARTICIPANTS: 108 971 women who had ever been pregnant. OUTCOME MEASURE: Physical violence during pregnancy. RESULTS: Physical violence was identified in 6.0% of pregnant women in SSA. The highest prevalence (14.0%) was reported in South Africa, while Burkina Faso recorded the lowest (2.1%). Women who had primary (aOR=1.26, 95% CI=1.15, 1.38) and secondary education (aOR=1.15, 95% CI=1.01,1.32); those who were cohabiting (aOR=1.21, 95% CI=1.11, 1.32); those who were working (aOR=1.17, 95% CI=1.08, 1.28); and those whose partners had primary (aOR=1.15, 95% CI=1.04, 1.28) and secondary education (aOR=1.14, 95% CI=1.01, 1.28) were more likely to experience physical violence during pregnancy compared with those who had no formal education; those who were married; those who were not working, and those whose partners had no formal education, respectively. Moreover, women whose partners consumed alcohol (aOR=2.37, 95% CI=2.20, 2.56); those who had parity of four or more (aOR=2.06, 95% CI=1.57, 2.72); and those who perceived intimate partner violence (IPV) as a culturally accepted norm (aOR=1.55, 95% CI=1.44, 1.67) had higher odds of experiencing physical violence during pregnancy compared to those whose partners did not consume alcohol, those with parity zero, and those who did not perceive IPV as culturally accepted, respectively. On the contrary, women who were aged 35-39, those who were of the richest wealth index, and those in rural areas had reduced odds of experiencing physical violence during pregnancy. CONCLUSION: Based on the findings, community leaders are encouraged to liaise with law enforcement agencies to strictly enforce laws on gender-based violence by prosecuting perpetrators of IPV against pregnant women as a deterrent. Also, intensifying education on what constitutes IPV and the potential consequences on the health of pregnant women, their children, and their families will be laudable. Improving the socioeconomic status of women may also help to eliminate IPV perpetration against women at their pregnancy stage.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".