Evidence map›Paper›PMID 35445607›Full record

ArticleJournal of interpersonal violence2023

Childhood Abuse and Neglect, Exposure to Domestic Violence and Sibling Violence: Profiles and Associations With Sociodemographic Variables and Mental Health Indicators.

Kathryn Sharratt, Samantha J Mason, Gillian Kirkman, Dominic Willmott, Danielle McDermott, Susan Timmins, Nadia M Wager

Open access · greenAbstract read
In one paragraph

Article in Journal of interpersonal violence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

12 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Child Abuse and Neglect: Awareness among Dental Students.Healthcare (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Kathryn Sharratt4013University of Huddersfield, Huddersfield, UK.ORCID 0000-0002-0870-0568
Samantha J Mason4013University of Huddersfield, Huddersfield, UK.
Gillian Kirkman4013University of Huddersfield, Huddersfield, UK.
Dominic Willmott5289Manchester Metropolitan University, Manchester, UK.ORCID 0000-0002-7449-6462
Danielle McDermott12054Leeds Trinity University, Leeds, UK.
Susan Timmins4013University of Huddersfield, Huddersfield, UK.
Nadia M Wager4013University of Huddersfield, Huddersfield, UK.ORCID 0000-0002-4817-7556
University of Huddersfield · GBLeeds Trinity University · GBManchester Metropolitan University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research indicates substantial overlap between child abuse and neglect (CAN), exposure to domestic violence and sibling abuse, with multiple victimisation experiences conferring greater risk for adverse mental health outcomes than does exposure to a single subtype. The application of latent class analysis (LCA) to child maltreatment has gained momentum, but it remains the case that few studies have incorporated a comprehensive range of subtypes, meaning that real-life patterns in victimisation experiences cannot be accurately modelled. Based on self-report data from an ethnically diverse sample (

Indexed as

Child AbuseCrime VictimsDomestic ViolenceExposure to ViolenceChildHumansMental HealthSiblingsanxietychild abuse and neglectchildhood maltreatmentdepressionexposure to domestic violencelatent class analysissibling violence

Identifiers

PMID35445607
PMCPMC9709533
OpenAlexW4224222105

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.