Evidence map›Paper›PMID 37004183›Full record

ArticleThe Medical journal of Australia2023

The prevalence and nature of multi-type child maltreatment in Australia.

Daryl J Higgins, Ben Mathews, Rosana Pacella, James G Scott, David Finkelhor, Franziska Meinck, Holly E Erskine, Hannah J Thomas, David M Lawrence, Divna M Haslam and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The Medical journal of Australia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
25.7field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

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  8. Impact of adverse childhood experiences on health-related quality of life in Australian women with endometriosis: a population-based cohort study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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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

12 authors at 8 institutions in 5 countries.

Daryl J HigginsInstitute of Child Protection Studies, Australian Catholic University, Melbourne, VIC.ORCID 0000-0003-0268-8243
Ben MathewsQueensland University of Technology, Brisbane, QLD.ORCID 0000-0003-0421-0016
Rosana PacellaInstitute for Lifecourse Development, University of Greenwich, London, United Kingdom.ORCID 0000-0002-9742-1957
James G ScottThe University of Queensland, Brisbane, QLD.ORCID 0000-0002-0744-0688
David FinkelhorCrimes against Children Research Center, University of New Hampshire, Durham, NH, United States of America.
Franziska MeinckUniversity of Edinburgh, Edinburgh, United Kingdom.
Holly E ErskineThe University of Queensland, Brisbane, QLD.
Hannah J ThomasQIMR Berghofer Medical Research Institute, Brisbane, QLD.ORCID 0000-0001-7897-7821
David M LawrenceCurtin University, Perth, WA.ORCID 0000-0003-4700-1425
Divna M HaslamQueensland University of Technology, Brisbane, QLD.ORCID 0000-0002-5354-8710
Eva MalacovaQIMR Berghofer Medical Research Institute, Brisbane, QLD.
Michael P DunneQueensland University of Technology, Brisbane, QLD.
QIMR Berghofer Medical Research Institute · AUQueensland University of Technology · AUThe University of Queensland · AUAustralian Catholic University · AUJohns Hopkins University · USNorth-West University · ZAUniversity of Greenwich · GBUniversity of New Hampshire · US

Funding

Australian GovernmentNational Health and Medical Research Council APP1158750
6 · The paper itself

Abstract

objectivesTo determine the prevalence in Australia of multi-type child maltreatment, defined as two or more maltreatment types (physical abuse, sexual abuse, emotional abuse, neglect, or exposure to domestic violence) and to examine its nature, family risk factors, and gender and age cohort differences.

designRetrospective cross-sectional survey using a validated questionnaire. SETTING AND

participantsMobile phone random digit-dial sample of the Australian population aged 16 years and older.

main outcome measuresNational estimates of multi-type child maltreatment up to age 18 years using the Juvenile Victimisation Questionnaire-R2: Adapted Version (Australian Child Maltreatment Study).

resultsOf 8503 participants, 62.2% (95% CI, 60.9-63.6%) experienced one or more types of child maltreatment. Prevalence of single-type maltreatment was 22.8% (95% CI, 21.7-24.0%), whereas 39.4% (95% CI, 38.1-40.7%) of participants reported multi-type maltreatment and 3.5% (95% CI, 3.0-4.0%) reported all five types. Multi-type maltreatment was more common for gender diverse participants (66.1% [95% CI, 53.7-78.7%]) and women (43.2% [95% CI, 41.3-45.1%]) than for men (34.9% [95% CI, 33.0-36.7%]). Multi-type maltreatment prevalence was highest for those aged 25-44 years. Family-related adverse childhood experiences - especially mental illness and alcohol or substance misuse - increased risk. Exposure to domestic violence was the maltreatment type most often present in multi-type maltreatment patterns.

conclusionsMulti-type child maltreatment is prevalent in Australia and more common in women and gender diverse individuals. Child protection services, health practitioners, and prevention and intervention services must assess and manage multi-type maltreatment in children and address its health consequences across the lifespan. Public health policy should consider prevention services or strategies that target multi-type child maltreatment.

Indexed as

Child AbuseAustraliaChildCross-Sectional StudiesFemaleHumansMalePrevalenceRetrospective StudiesChild abuseChild healthEpidemiologyMental disorders

Identifiers

PMID37004183
PMCPMC10952595
OpenAlexW4362508496

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.