The Mental Well-being of Adolescent Mothers Affected by Intimate Partner Violence: Challenging the Barriers of Gender Inequity
Bibliographic record
Abstract
Introduction: The postpartum period is considered a period of increased risk for intimate partner violence (IPV) for new mothers, specifically for adolescent women. Both the mother and her baby are at risk for poor health and mental health outcomes. Methods: Literature was reviewed focusing on the influence of IPV and the mental health effects on adolescent women, aged 10-19 years old, within their postpartum stage. ProQuest Nursing & Allied Health Database, PubMed, Scholars Portal Journals, and APA PsycInfo were searched for studies published worldwide between 2010 – 2020. The key search terms were intimate partner violence, mental health, adolescent mothers, young mothers, pregnancy and postpartum. Findings: The effects of IPV on adolescent mothers’ mental health during the postpartum period included low parenting moral, sleeping difficulties, increased stress levels, suicidal ideation, suicide attempts, depression, obsessive-compulsive disorder and post-traumatic stress disorder. Gender inequality was identified as a primary risk factor for IPV. Gender roles influence the social decisions made by young adults, impacting their well-being. Discussion and Conclusion: Experiencing IPV during the postpartum phase contributes to negative mental health outcomes. It is important to confront unequal gender relations in early adolescence, with a focus on eliminating IPV and improving adolescent mothers’ mental well-being. Gender transformative health promotion interventions to challenge the barriers of gender inequity related to IPV are considered, with a focus on education and advocacy.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".