High-risk fertility behaviours among women in sub-Saharan Africa
Bibliographic record
Abstract
BACKGROUND: High-risk fertility behaviours such as too early or advanced age at delivery, shorter birth interval, birth order and a higher number of live births to a woman often lead to adverse maternal and child health outcomes. We assessed high-risk fertility behaviours and their associated factors among women in sub-Saharan Africa (SSA). METHODS: Data on 200 716 women pooled from the demographic and health surveys of 27 countries conducted between 2010 and 2020 in SSA were analysed. High-risk fertility behaviour from four indicators, mother aged <18 years at the time of delivery; mother aged >34 years at the time of delivery; mother of a child born after a short birth interval (<24 months) and mother of high parity (>3 children), was derived. Multi-level multi-variable logistic regression analyses were carried out and the results were presented as adjusted odds ratios at 95% confidence interval. RESULTS: Women who were in polygamous marriages had higher odds of single and multiple high-risk fertility behaviour compared with their counterparts who were in monogamous marriages. Women with middle or high maternal decision-making power had higher odds of single and multiple high-risk fertility behaviours compared with those with low decision-making power. Single and multiple high-risk fertility behaviours were lower among women with access to family planning, those with at least primary education and those whose partners had at least primary education compared with their counterparts who had no access to family planning, those with no formal education and those whose partners had no formal education. CONCLUSION: Family structure, women's decision-making power, access to family planning, women's level of education and partners' level of education were identified as predictors of high-risk fertility behaviours in SSA. These findings are crucial in addressing maternal health and fertility challenges. Policy makers, maternal health and fertility stakeholders in countries with high prevalence of high parity and short birth intervals should organize programs that will help to reduce the prevalence of these high-risk factors, taking into consideration the factors that predispose women to high-risk fertility behaviours.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".