Assessment & Research

Brief Report: Further Examination of Self-Injurious Behaviors in Children and Adolescents with Autism Spectrum Disorders.

Dempsey et al. (2016) · Journal of autism and developmental disorders 2016
★ The Verdict

Classic tests miss 87 % of self-injury risk—look beyond IQ and language scores.

✓ Read this if BCBAs who assess or treat self-injury in autistic clients of any age.
✗ Skip if Clinicians who only run social-skills groups without behavior-reduction goals.

01Research in Context

01

What this study did

Dempsey et al. (2016) looked at how well common tests predict self-injury in kids and teens with autism.

They ran regular cognitive and behavior scores against how often the children hit or bit themselves.

02

What they found

Those usual scores explained only 13 % of the difference in self-injury rates.

In plain words, most of why a child hurts himself is still missing from our checklists.

03

How this fits with other research

Flowers et al. (2020) studied only teens and added irritability and daily-living skills. They found those two factors matter, but still left a lot unexplained.

Lance et al. (2014) checked if losing early skills (regression) raises self-injury and saw no link. Like Jack, they show single variables give weak answers.

Kaiser et al. (2022) warn that many autism tools were built for verbal youth with average IQ. Jack’s low 13 % may partly reflect using tools that do not fit all clients.

04

Why it matters

Stop relying on IQ, language, or age alone to judge self-injury risk. Add direct measures: sleep, pain, sensory triggers, and recent life changes. If scores look “mild,” still watch the child—most risk lies outside the numbers we usually collect.

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Add a quick parent interview on sleep, pain, and recent changes before you write the behavior plan.

02At a glance

Intervention
not applicable
Design
other
Sample size
2341
Population
autism spectrum disorder
Finding
null

03Original abstract

Self-injurious behaviors (SIB) are problematic for many children with autism spectrum disorders (ASD). Existing models to explain factors contributing to SIB fail to account for a large proportion of variance in SIB. This study attempted to explain a greater proportion of variance in SIB by addressing methodological/theoretical limitations in previous research using a sample of 2341 youth with ASD. The model comprised of predictors identified by the prior study continued to explain only a small proportion of variance in the SIB score (R (2) = .13). Revisions to the model failed to substantially improve model fit. Results suggest that psychological, cognitive, and behavioral factors alone do not adequately explain common measures of SIB and highlight the need for further research.

Journal of autism and developmental disorders, 2016 · doi:10.1007/s10803-016-2704-x