Mental health outcomes beyond the post-partum period among adolescent mothers: a systematic review and meta-analysis
Bibliographic record
Abstract
Background: Adolescence is the most crucial part of life. The vulnerability of adolescent mothers is even more pronounced and can affect various health aspects. While they suffer from social and emotional stresses shortly after giving birth, the long-term effect after the post-partum period of adolescent pregnancy on the mental outcomes holds prime importance. Thus, this systematic review aims to ascertain the association between adolescent pregnancy on mental health outcomes.Methods: The search strategy was run in June 2023 on databases including PubMed, CINAHL, Scopus, Psych Info, and Embase . Quality assessment of the studies was done using the National Institute of Health (NIH)’s National Heart, Lung and Blood Institute (NHLBI) tool for observational studies. For studies that measured similar outcomes, a meta-analysis was conducted.Findings: The search strategy yielded 21 results from all databases and cross-referencing. Of these, all except for one (case–control) were cross-sectional and cohort studies. The pooled analysis found a significant association between adolescent pregnancy and depression (RR 1.34; 95% CI 1.05, 1.72, 6 studies, heterogeneity: Chi2 P 0.01; I2 = 60%); however, no association was found in anxiety (RR 1.05; 95% CI 0.26, 4.14, 2 studies; heterogeneity: Chi² P = 0.0003; I2 = 93%) and suicidal ideation (RR 3.21; 95% CI 0.17, 59.33; 3 studies; heterogeneity: Chi2 P < 0.00001; I2 = 98%).Implication: These findings suggest that the mental health needs of adolescent mothers must be addressed and innovative and effective interventions that support and address the mental health needs of adolescent mothers are needed to improve their mental health.
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 | 0.012 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.035 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".