Demographic and clinical correlates of autism symptom domains and autism spectrum diagnosis.
Low IQ and behavior problems can inflate SRS scores, so treat those factors before raising autism severity ratings.
01Research in Context
What this study did
Murphy et al. (2014) looked at what else can push up autism scores on the SRS. They studied kids who already had an ASD label and kids who did not.
Parents filled out the SRS and gave facts about the child: IQ, age, sex, and any mood or behavior meds. The team ran stats to see which facts predicted higher SRS scores.
What they found
The biggest predictor was simply having an ASD diagnosis. Yet lower IQ, externalizing problems, and internalizing problems each added a little more lift to the scores.
In plain words, a child with ADHD signs or anxiety can score as if their autism is worse even when core autism traits are stable.
How this fits with other research
Johnson et al. (2021) conceptually replicated the warning. They showed that lower verbal IQ alone raises autism severity ratings, even when you ignore the gap between verbal and non-verbal scores.
Sanz-Cervera et al. (2015) extended the idea by adding sensory issues to the mix. Sensory-processing problems predicted higher autism scores above and beyond the demographic factors W et al. already tracked.
Rossow et al. (2021) further extended the pattern into the preschool years. They found that sensory hyper-reactivity linked to internalizing symptoms only in minimally verbal children, echoing W et al.'s point that language level can color caregiver reports.
Why it matters
Before you trust an SRS jump, pause. Ask: did the child's IQ drop, did behaviors like hitting or worrying spike, or did new sensory issues show up? Treat those first. Your autism graph may flatten without touching a single social-skills goal.
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02At a glance
03Original abstract
Demographic and clinical factors may influence assessment of autism symptoms. This study evaluated these correlates and also examined whether social communication and interaction and restricted/repetitive behavior provided unique prediction of autism spectrum disorder diagnosis. We analyzed data from 7352 siblings included in the Interactive Autism Network registry. Social communication and interaction and restricted/repetitive behavior symptoms were obtained using caregiver-reports on the Social Responsiveness Scale. Demographic and clinical correlates were covariates in regression models predicting social communication and interaction and restricted/repetitive behavior symptoms. Logistic regression and receiver operating characteristic curve analyses evaluated the incremental validity of social communication and interaction and restricted/repetitive behavior domains over and above global autism symptoms. Autism spectrum disorder diagnosis was the strongest correlate of caregiver-reported social communication and interaction and restricted/repetitive behavior symptoms. The presence of comorbid diagnoses also increased symptom levels. Social communication and interaction and restricted/repetitive behavior symptoms provided significant, but modest, incremental validity in predicting diagnosis beyond global autism symptoms. These findings suggest that autism spectrum disorder diagnosis is by far the largest determinant of quantitatively measured autism symptoms. Externalizing (attention deficit hyperactivity disorder) and internalizing (anxiety) behavior, low cognitive ability, and demographic factors may confound caregiver-report of autism symptoms, potentially necessitating a continuous norming approach to the revision of symptom measures. Social communication and interaction and restricted/repetitive behavior symptoms may provide incremental validity in the diagnosis of autism spectrum disorder.
Autism : the international journal of research and practice, 2014 · doi:10.1177/1362361313481506