Association between domestic violence and oral health problems in children and adolescents: a systematic review
Bibliographic record
Abstract
Domestic violence has a negative impact on development, general health, and quality of life of children and adolescents. This study aimed to revise knowledge regarding the consequences on oral health and its related outcomes of children and adolescents exposed to domestic violence. We conducted this systematic review in line with Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) statement, adhering to a published protocol in PROSPERO. This review systematically searched the literature using the MEDLINE, PsycINFO, LILACS, SciELO databases and Grey Literature, for articles published in English, Portuguese, and Spanish, with no publication date limits. Quality of studies was assessed using New Castle Ottawa scale and its modified version. All process was carried out independently by two researchers. Fourteen studies were included. Nine studies were cross-sectional, four were case-control, and one was a retrospective cohort. All studies included in this review found a higher risk of having some oral health problem and being exposed to some type of domestic violence. The main oral health problems associated with some type of violence were caries experience (decayed, missing and filled teeth), poor self-perceived oral health, malocclusion, poorer oral health related quality of life, poorer oral hygiene, and early childhood caries experience. Important methodological advancements are needed to better understand potential moderators.
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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".