Victimization Among Children With Disabilities: A Meta-Analysis.

Trauma Violence AbuseNov 24, 2025 (epub)

Chengrui Wu, Qiqi Chen, Ko Ling Chan

✦ AI-curated · Sources linked

In 30 seconds

This meta-analysis examined victimization among children aged 18 years or younger with professionally diagnosed disabilities, compared with non-disabled peers. It included 44 publications covering 1,734,560 children and used random-effects models to estimate pooled odds ratios. Overall, children with disabilities had higher odds of victimization (OR 2.04, 95% CI [1.84, 2.52]). Polyvictimization risk was especially elevated among children with multiple disabilities (OR = 4.17 [2.25, 7.74]) and invisible disabilities (OR = 3.16 [1.76, 5.70]).

Key findings

  • Overall victimization odds were higher among children with disabilities than non-disabled peers (OR 2.04, 95% CI [1.84, 2.52]).
  • Polyvictimization was associated with multiple disabilities (OR = 4.17 [2.25, 7.74]) and invisible disabilities (OR = 3.16 [1.76, 5.70]).
  • Children with multiple disabilities had higher odds of physical violence (OR = 4.07 [2.12, 7.81]).
  • Secondary-school children had the highest reported polyvictimization risk (OR = 4.16 [2.83, 6.11]).

Why it matters

The findings indicate that victimization risk is not uniform across children with disabilities, with particularly high estimates for polyvictimization among those with multiple or invisible disabilities. Recognising these differences can inform assessment of violence exposure and the development of prevention approaches attentive to disability type and children’s reports.

What to keep in mind

The authors note definitional inconsistencies and limited representation across regions and populations, which may constrain comparability and generalisability.

Source

Published in Trauma Violence Abuse. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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