Sociodemographic risk factors associated with autism spectrum disorders and intellectual disability.
Mom’s age and education steer autism and ID risk in different ways, so screen boys with older moms for combined ASD-ID and kids with less maternal schooling for ID-only.
01Research in Context
What this study did
Pinborough-Zimmerman et al. (2011) tracked three groups of kids: autism only, autism plus intellectual disability, and intellectual disability alone.
They used state birth-census files to map each child’s family income, mom’s age, and mom’s school years.
The goal was to see which social facts raise the odds of each diagnosis.
What they found
Boys with older moms were more likely to land in the autism-plus-ID group.
Kids whose moms left school early were more likely to land in the ID-only group.
Family income did not stand out; rich and poor homes showed the same rates.
How this fits with other research
Rosa et al. (2016) extends the same idea. They show that low family income and lower IQ also hike the chance of ADHD and other psychiatric tags in kids with autism and even in their brothers and sisters.
Sandberg et al. (2026) is the later follow-up. Using the same kind of big-registry view, they find that people with ID (with or without autism) carry higher risk for most health labels, but cancer slips under the radar—likely because screens are missed.
Matson et al. (2008) came first. They showed that adults with autism plus ID display more core autism traits than adults with ID alone. Judith adds the childhood risk map that helps you spot those same adults earlier.
Why it matters
You can now triage your assessment list. When mom is older, watch boys for both autism and ID. When mom has fewer school years, watch for ID even if you do not see autism. Income alone is not a red flag, so do not let a wealthy home delay your screen. Use the same clues to flag siblings for ADHD watch lists.
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Add two quick boxes to your intake form: mom’s age and highest grade completed—if age >35 and male, prioritize ASD+ID screening; if grade <12, prioritize ID-only testing.
02At a glance
03Original abstract
This study examined the hypotheses that (1) sociodemographic risk factors in young children with autism spectrum disorders (ASD) and/or intellectual disability (ID) significantly vary by disability type, and (2) measures of income (mean adjusted gross income, mean federal taxes paid, and mean tax exemptions) significantly increase between 1994 and 2002, and are lower in families with a child with ASD and/or ID compared with the general population. A multiple source surveillance system utilizing a retrospective record review was used to identify ASD and ID cases from a population of 26,108 eight-year-old children born in 1994 and living in Utah in 2002. ASD without ID (ASD-only, n = 99) cases were significantly more likely to be male (P<0.01) and have mothers of White non-Hispanic ethnicity (P = 0.02). ASD with ID (ASD/ID, n = 33) cases were significantly more likely to be male (P<0.01) and have mothers older than 34 years (P = 0.03). ID without ASD (ID-only, n = 113) cases were significantly more likely to have fathers older than 34 years (P<0.01) and were significantly less likely to have mothers with >13 years education (P<0.01). Measures of income for cases at birth and at 8 years of age were not significantly lower than the general population and mean adjusted income of cases significantly increased from birth to 8 years of age. Investigations focused on defining early sociodemographic risk factors by different endophenotypes of ASD may assist in identifying risk factors for this complex group of neurodevelopmental disorders. Aggregate tax information may be a unique resource to utilize for population-based analysis.
Autism research : official journal of the International Society for Autism Research, 2011 · doi:10.1002/aur.224