Prioritizing the mental health needs of pregnant adolescents in sub-Saharan Africa
Bibliographic record
Abstract
Sub-Saharan Africa has the highest rate of adolescent pregnancy in the world, with an estimated prevalence of 19.3%. Whereas adolescent pregnancy is considered on the policy agenda as a public health challenge in many sub-Saharan African countries, the mental health impact, although dire, has not received commensurate attention in the policy space. This is not unconnected with sociocultural norms and stigma associated, not just with mental health, but with teenage pregnancy as well. Similarly, adult maternal mental health, though often relegated, has been receiving increasing attention. But pregnant teenagers are often not the focus of available mental health interventions, even though they are more vulnerable to the same pathophysiological stressors, as well as being uniquely exposed to extreme sociocultural and economic stressors. In this viewpoint, we argue that prioritizing the mental health of adolescent mothers is critical in sub-Saharan Africa. We also make important recommendations to ensure that pregnant adolescents receive the mental health services and support they need.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".