“It's like being involved in a car crash”: teen pregnancy narratives of adolescents and young adults in Jos, Nigeria
Bibliographic record
Abstract
BACKGROUND: Adolescent pregnancy has serious public health implications, with far-reaching outcomes extending past the mother and child and affecting society. The purpose of this study was to explore the lived experience of adolescent pregnancy in Jos, Nigeria. METHODS: We conducted in-depth interviews with 17 adolescents and young women ages 16-24 y in Jos, Nigeria who had experienced at least one teenage pregnancy. Participants were purposively recruited; each provided written informed consent before interviewing. We identified codes and themes using an inductive analytic approach. RESULTS: Among the 17 participants, 14 had never been married and 10 had completed senior secondary school. Participants commonly associated adolescent pregnancy with inappropriate behaviour, immaturity and premarital childbearing. The main risk factors for adolescent pregnancy were lack of sexual and reproductive health education and parental communication. Pregnancy evoked feelings of fear, shame, anxiety and depression. Most pregnancies resulted in live births, while some participants had stillbirths or induced abortion. Some participants successfully completed their education post-pregnancy. CONCLUSIONS: Adolescents in this study lacked adequate sexual and reproductive health education that could empower them to make informed decisions and take action regarding their sexual and reproductive health. Multifaceted actions to address reproductive health education gaps can contribute to reducing adolescent pregnancy in Nigeria.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| 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".