A narrative review of the literature on unintended adolescent pregnancies: Understanding their meaning, associated factors, and consequences
Bibliographic record
Abstract
Every year, more than two million girls below the age of 15 become pregnant in low- and middle-income countries, and these pregnancies are more prevalent in sub-Saharan Africa, increasing maternal mortality and morbidity. Therefore, the objective of this narrative review of the literature was to present a detailed understanding of unintended adolescent pregnancies and explore the factors associated with these pregnancies, their consequences, and any gaps identified in the extant literature. The review included 19 articles accessed and retrieved from a variety of databases, namely: PubMed, ProQuest, Scopus, CINAHL, Western Libraries Catalogue, and Google Scholar. This review notes that adolescent pregnancies are primarily perceived to be social problems related to misconduct and delinquency, and across cultures, adolescent pregnancies are interpreted differently and given various meanings. The results of the review indicate that most unintended adolescent pregnancies are attributable to caused by a lack of sexual reproductive knowledge, and the effects of cultural factors such as limitations on open discussions between parents and children. Among the consequences of adolescent pregnancy included emotional trauma, social embarrassment, school dropout, and poverty. This narrative review highlights the need of exploring the issue of unintended adolescent pregnancies through a more comprehensive, multi-dimensional, and local perspective. By exploring the cultural, social, and political dimensions at the local context level, such approach can foster meaningful social and political changes, advocacy, and emancipation.
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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 | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".