Predictors of pregnancy among young people in sub-Saharan Africa: a systematic review and narrative synthesis
Bibliographic record
Abstract
BACKGROUND: Sub-Saharan Africa has among the highest prevalence of teenage pregnancy in the world. Teenage mothers and their children are at risk to a host of medical, social and economic challenges. Adolescent pregnancy is a significant cost to the mother and newborn child, and also to their family and the wider society. Despite measures taken by some sub-Saharan nations to tackle the issue of adolescent pregnancy, the phenomenon remains a public health concern that is widespread throughout the region. Currently, there are few studies that examine the predictors of teenage pregnancy in the sub-Saharan region. The objective of the present study was to systematically review predictors of pregnancy among young people in sub-Saharan Africa. METHODS: A literature search was conducted using Medline, CINAHL and EMBASE electronic databases. Following duplicate removal, abstract and full-text screening, 15 studies were ultimately included in the final review. Narrative synthesis was used to synthesise the qualitative and quantitative findings. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses. RESULTS: Twenty-seven predictors of teenage pregnancy were identified and grouped into six themes (Partner and peer-related predictors; Sexual health knowledge, attitude and behaviour-related predictors; Parenting and family-related predictors; Economic, environmental and cultural predictors; Personal predictors; and Quality of healthcare services predictors). The most obvious predictors included sexual coercion and pressure from male partners, low or incorrect use of contraceptives, and poor parenting or low parental communication and support. CONCLUSION: This review emphasises that the large prevalence of adolescent pregnancy in sub-Saharan Africa is attributable to multiple predictors that our study was able to group into six themes. Policy changes and programmes must be implemented in sub-Saharan Africa to address these determinants in order to reduce adolescent pregnancy within the region.
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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 | 0.013 | 0.067 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.014 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".