An Exploratory Analysis of Predictors of Youth Suicide-Related Behaviors in Autism Spectrum Disorder: Implications for Prevention Science.

Arwert et al. (2020) looked at 481 autistic youth. They asked parents to report two things: did the child talk about suicide and did the child hurt or try to kill themselves.

The team then checked which child traits went with each outcome. They tested age, IQ, repetitive behaviors, daily-living skills, and other mental-health problems.

Suicide talk and actual self-harm did not share the same risk list. Older kids, more repetitive behaviors, lower IQ, weaker daily skills, and added mood or conduct problems each showed different links to the two outcomes.

In plain words, talking about suicide and doing self-harm are not twin pictures in autism. You need to screen for each pattern on its own.

Flowers et al. (2020) saw the same two flags—older age and low daily-living skills—predicting self-injury in 145 autistic teens. G et al. widen the lens by splitting suicide talk from self-harm and adding repetitive behavior strength.

Dempsey et al. (2016) warned that old cognitive-behavioral variables explain only 13 % of self-injury variance. G et al. answer that call by showing repetitive behaviors and comorbid problems add new pieces to the puzzle.

Anthony et al. (2020) found zero autism-specific suicide-risk tools in their review. G et al. give clinicians the exact child traits to watch until those tools arrive.

You can sharpen your intake today. When an autistic client is referred, note age, repetitive behavior level, IQ, adaptive scores, and any mood or conduct diagnoses. If talk of suicide is the worry, weigh mood signs first. If self-harm acts are the worry, weigh older age, low adaptive skills, and repetitive behavior intensity. These quick flags let you triage and refer faster while the field builds better screens.