Evidence map›Paper›PMID 41553657›Full record

ArticleJournal of autism and developmental disorders2026

Child and Family Characteristics as Predictors of the Severity of Self-injurious Behaviours in Autistic Children and Adolescents.

Terence Jiang, Marc Wilson, Andrew J O Whitehouse, Willow Sainsbury, Hannah Waddington

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Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. AnFrontiers in psychiatry · 2026
    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

5 authors.

Terence JiangSchool of Psychology, Faculty of Education, Health, and Psychological Sciences, Victoria University of Wellington, Wellington, New Zealand.
Marc WilsonSchool of Psychology, Faculty of Education, Health, and Psychological Sciences, Victoria University of Wellington, Wellington, New Zealand.
Andrew J O WhitehouseKids Research Institute Australia, The University of Western Australia, Crawley, Australia.
Willow SainsburyFaculty of Education and Social Work, Learning, Development and Professional Practice, University of Auckland, Auckland, New Zealand.
Hannah WaddingtonSchool of Education, Faculty of Education, Health, and Psychological Sciences, Victoria University of Wellington, Wellington, New Zealand. hannah.waddington@vuw.ac.nz.ORCID http://orcid.org/0000-0003-3787-0301

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAutistic children demonstrate an increased likelihood of self-injurious behaviours (SIB). To support autistic individuals who exhibit SIB and understand the factors that contribute to SIB, we examined several child and family characteristics associated with the severity of SIB.

methodThis study used a sample of 594 autistic children, aged 17 and under from the Australian Autism Biobank. As well as data on reported SIBs, we considered child variables (e.g., adaptive functioning), parental variables (e.g., autism traits and mental health), and sociodemographic variables (e.g., parental education and income). We reported the presence and frequency of different types of SIB within the sample, and performed correlational and hierarchical regression analysis to identify predictors of the severity of SIB.

resultsThe significant predictors identified in the final hierarchical regression for SIB were greater sensory avoidance, sleep disturbances, maternal depression, and lower levels of parental education.

conclusionThese findings highlight the under-researched role of parent and socioeconomic factors in understanding and reducing SIB within the autistic population.

Indexed as

AdolescentsAutismChildrenHierarchical regressionMaternalPaternalSelf-injurySocio-economic factors

Identifiers

PMID41553657

What OpenQuestion holds

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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.