Associated Factors of Self-injury Among Adolescents with Autism Spectrum Disorder in a Community and Residential Treatment Setting.
Check irritability and daily-living scores first—they foretell self-injury in autistic teens better than older cognitive tools.
01Research in Context
What this study did
Flowers et al. (2020) pulled 145 charts of teens with autism.
All lived in group homes or attended day programs.
The team scored age, irritability, and daily-living skills.
They asked: which numbers flag future self-injury?
What they found
Older kids, higher irritability, and lower adaptive scores won the race.
Each one raised the odds of self-injury on its own.
No guesswork—charts already held the red flags.
How this fits with other research
Dempsey et al. (2016) tried the same kind of model and hit a wall.
Cognitive and behavior scores explained only 13 % of self-injury—far less useful.
Jacqueline’s team swapped in irritability and daily-living scores and got a working model, so the new picks beat the old ones.
Arwert et al. (2020) went further.
They split suicide talk from self-harm and found different risk lines.
Both studies agree: low adaptive skills spell trouble, but G shows you must ask if the teen talks about death or only hits themselves.
Payne et al. (2020) zoom out.
Their review says self-harm rates in autistic youth jump around.
Jacqueline’s tight focus on irritability and adaptive skill gives clinicians a fixed place to start, even if the wide world still varies.
Why it matters
You now have three quick flags: teen’s age, irritability score, and adaptive score.
Pull these from intake or last review.
If two or three sit in the danger zone, move the case to the top of your assessment list and add safety and skill-building goals first.
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02At a glance
03Original abstract
Self-injurious behavior (SIB) occurs in up to 50% of individuals with autism. As one of the most serious conditions in individuals with developmental disabilities, SIB affects the individual and his or her family in multiple contexts. A systematic analysis of factors most commonly associated with SIB could inform the development of individualized intervention strategies. The current study examined factors related to SIB in an analysis of client records of 145 children with autism in a comprehensive care center. Predictor variables included age, gender, the Adaptive Behavior Composite, sensory processing, aggression, stereotypies, irritability, adaptive skills, and medical conditions. Age, irritability, and the Adaptive Behavior Composite were found to significantly predict SIB.
Journal of autism and developmental disorders, 2020 · doi:10.1007/s10803-020-04389-4