Evidence map›Paper›PMID 41027585›Full record

ArticleChild maltreatment2026

Assessing Dimensions of Children's Exposure to Family Violence with the Family Socialization Interview - Revised 2.0.

Margaret J Briggs-Gowan, Kimberly J McCarthy, Susan DiVietro, Brandon L Goldstein, Damion J Grasso

Abstract read
In one paragraph

Article in Child maltreatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Margaret J Briggs-GowanDepartment of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA.ORCID 0000-0002-5826-5998
Kimberly J McCarthyDepartment of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA.ORCID 0000-0003-0139-2870
Susan DiVietroInjury Prevention Center, Connecticut Children's Medical Center, Hartford, CT, USA.ORCID 0000-0003-1428-8482
Brandon L GoldsteinDepartment of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA.ORCID 0000-0002-7003-2281
Damion J GrassoDepartment of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA.ORCID 0000-0001-9577-2764

Funding

Mapping Dimensional Aspects of Biobehavioral Threat Reactivity in Young, Violence-Exposed Children: Linkages to Fear and DistressU01MH113390 · NIMH · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI BRIGGS-GOWAN, MARGARET J, GRASSO, DAMION JOSEPH · 2018 to 2022
$3.8M
NIMH NIH HHS U01 MH113390
6 · The paper itself

Abstract

Intimate partner violence (IPV) is prevalent in families with young children and increases risk for trauma-related symptoms, making comprehensive assessment of IPV important for research and clinical purposes. The reliability, validity, and incremental value of the partner conflict section of the semi-structured Family Socialization Interview - Revised 2.0 (FSI-R2) were examined in a sample of children at-risk for IPV exposure (N = 246, M age = 5.4 years, SD = 0.9). Data analyzed were from a study investigating the effects of IPV on young children. Interrater reliability was acceptable. Supporting convergent validity, FSI-R2 severity correlated positively with mother-reported partner conflict (Conflict Tactics Scale-2) and child-reported perceived threat (Berkeley Puppet Interview). The FSI-R2 severity codes correlated positively with children's PTSD and trauma-related symptoms. Supporting incremental value, FSI-R2 severity explained unique variance in children's symptoms beyond the CTS2. Finally, findings underscored the importance of comprehensively assessing IPV that has occurred not only with current partners, but also ex-partners, and across children's lifetimes.

Indexed as

Domestic ViolenceExposure to ViolenceInterview, PsychologicalIntimate Partner ViolenceSocializationChildChild, PreschoolFemaleHumansMaleReproducibility of ResultsStress Disorders, Post-Traumaticearly childhoodintimate partner violencepartner conflictPTSDtraumavalidity

Identifiers

PMID41027585
PMCPMC12874393

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.