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Record W2801014730 · doi:10.1016/j.jped.2018.01.007

Intimate partner violence during pregnancy and behavioral problems in children and adolescents: a meta-analysis

2018· review· en· W2801014730 on OpenAlexaboutno aff
Elisabete Pereira Silva, Andréa Lemos, C. H. S. Andrade, A. B. Ludermir

Bibliographic record

VenueJornal de Pediatria · 2018
Typereview
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePoison controlDomestic violenceAnxietyPregnancyInjury preventionConduct disorderClinical psychologySuicide preventionMeta-analysisPsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

To evaluate the association of intimate partner violence during the gestational period and the development of externalizing and internalizing behavioral problems in children and adolescents. A meta-analysis of cohort and case–control studies was performed, using studies selected from electronic databases. Eligible studies included women who experienced intimate partner violence during pregnancy and their children's behavioral problems. These problems encompass two groups: externalizing problems (expressed by hyperactivity, aggressive and challenging behavior, and delinquency) and internalizing problems (represented by depressive moods, anxiety, and somatic symptoms). The risk of bias was assessed by the Newcastle-Ottawa Quality Assessment Scale (NOS) and the quality of evidence by the Grading of Recommendations, Assessment, Development and Evaluation (GRADE). RevMan 5.3 software was used for the meta-analysis. Of the 687 eligible articles, only seven met all inclusion criteria and consisted of 12,250 mother/child pairs. The age range of the assessed children varied from 10 months to 16 years. The odds of internalizing problems in children exposed to prenatal violence were two-fold higher (OR = 2.10, 95% CI: 1.17–3.76) and that of externalizing problems were 1.9-fold higher (95% CI: 1.28–2.83), when compared to children of unexposed mothers. The results of this study are consistent with the hypothesis that women's exposure to intimate partner violence during pregnancy may be associated with behavioral problems of their children, emphasizing the need for greater understanding about the vulnerability of children to adversity in early ages. Avaliar a associação da violência por parceiro íntimo durante o período gestacional e o desenvolvimento de problemas comportamentais externalizantes e internalizantes de crianças e adolescentes. Foi realizada metanálise de estudos de coorte e caso-controle, selecionados em bases de dados eletrônicas. Os estudos elegíveis incluíram: mulheres que sofreram violência pelo parceiro íntimo durante a gravidez e problemas comportamentais de seus filhos. Esses problemas englobam dois grupos: os problemas externalizantes (que se expressam por hiperatividade, comportamento agressivo e desafiante e delinquência) e os internalizantes (representados por humor depressivo, ansiedade e sintomas somáticos). O risco de viés foi avaliado pela Newcastle - Ottawa Quality Assessment Scale (NOS) e a qualidade da evidência pelo “Grading of Recommendations, Assessment, Development and Evaluation” (GRADE). O software RevMan 5.3 foi usado para a metanálise. Dos 687 artigos elegíveis, apenas sete apresentaram todos os critérios de inclusão e formaram 12.250 pares de mães e filhos. A faixa etária das crianças analisadas variou de 10 meses a 16 anos. A chance de problemas internalizantes das crianças, expostas à violência pré-natal, foi duas vezes maior (OR = 2,10; IC 95%: 1,17-3,76) e de problemas externalizantes, foi 1,90 vezes maior (IC 95%: 1,28-2,83), quando comparada com filhos de mães não expostas. Os resultados deste estudo são consistentes com a hipótese que a exposição da mulher a violência por parceiro íntimo na gestação pode estar associada a problemas comportamentais dos filhos, destacando a necessidade de maior compreensão sobre vulnerabilidade das crianças a adversidades precoces.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.741
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.074
GPT teacher head0.385
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations39
Published2018
Admission routes1
Has abstractyes

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