Effect of incorporating adaptive functioning scores on the prevalence of intellectual disability.
Adding adaptive scores to IQ ≤ 70 hardly changes ID prevalence counts, so IQ-only surveillance is enough for big-picture planning.
01Research in Context
What this study did
Obianuju and colleagues asked a simple question. Does adding adaptive scores to IQ testing change how many kids get counted with intellectual disability?
They looked at a large US surveillance sample. All children already had IQ scores of 70 or below. Then they layered on parent-reported adaptive scores.
What they found
The extra data barely moved the needle. Prevalence shifted only a little, mostly among kids with mild ID or low family income.
In plain words, IQ ≤ 70 alone caught almost everyone that the fuller battery caught.
How this fits with other research
Schroeder et al. (2014) extend the story. Their Finnish register study shows ID prevalence climbs from 0.2 % at birth to 1 % by middle age. Age matters more than extra test scores when you count across the lifespan.
Vink et al. (2019) broaden the lens. In Ireland, census forms found nearly twice as many people with ID as the national service register. The lesson: where you look changes the count more than what test you add.
Robertson et al. (2013) echo the theme. They compared three health-record algorithms and found the simple rule—two doctor visits—matched literature rates best. Again, method beats extra data.
Why it matters
For BCBAs who help with school or state eligibility, this is freeing. You can lean on existing IQ scores for population counts. Save your energy for teaching skills, not chasing extra adaptive scores for every referral. When resources are tight, focus on kids who sit at the mild ID border or come from low-income homes—that is where the small shifts happen.
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02At a glance
03Original abstract
Surveillance and epidemiologic research on intellectual disability often do not incorporate adaptive functioning (AF) data. Exclusion of AF data leads to overestimation of the prevalence of intellectual disability, the extent of which is not known. In this study, the authors evaluated the effect of incorporating AF data on overall intellectual disability prevalence according to sociodemographic, economic, and severity characteristics. Between 2002 and 2006, the Metropolitan Atlanta Developmental Disabilities Surveillance Program identified 1,595 8-year-old children who met the study's intellectual disability surveillance-case definition of IQ ≤ 70. AF scores were not available for 9.2% of the case children, specifically those with mild intellectual disability and low socioeconomic backgrounds. Prevalence estimates showed few substantive changes when incorporating AF data. The authors conclude that use of IQ data alone appears to be appropriate for measuring population intellectual disability prevalence.
American journal on intellectual and developmental disabilities, 2011 · doi:10.1352/1944-7558-116.5.360