Assessment & Research

Are autism spectrum conditions more prevalent in an information-technology region? A school-based study of three regions in the Netherlands.

Roelfsema et al. (2012) · Journal of autism and developmental disorders 2012
★ The Verdict

Autism labels cluster in tech regions, so caseload forecasts must use local school data, not country-wide averages.

✓ Read this if BCBAs building caseload forecasts or opening clinics in tech-heavy cities.
✗ Skip if Clinicians who only see medically complex cases in hospital teams.

01Research in Context

01

What this study did

The team asked every school in three Dutch regions how many children carried an autism label.

They compared the counts per 10,000 kids in tech-heavy Eindhoven with two other areas.

02

What they found

Eindhoven schools listed 229 children with autism for every 10,000 pupils.

The other regions reported only 84 and 57 per 10,000 — a four-fold gap.

Rates for asthma, ADHD, or dyslexia stayed the same across all three places.

03

How this fits with other research

Zahorodny et al. (2014) saw a similar jump in New Jersey schools between 2002 and 2006, showing the Dutch spike is not a one-off.

Smith et al. (2010) found the same uneven pattern for intellectual disability across Norway, hinting that how services record cases may matter more than true changes in biology.

Burrows et al. (2018) warn that parent mood and child language skills can inflate questionnaire scores — the Dutch numbers came from school records, not parent forms, so the gap is unlikely to be just rater bias.

04

Why it matters

If you practice in a tech city, expect more families to arrive with an autism label. Use the same intake screen you use elsewhere, but be ready for longer wait lists. When you see sudden regional jumps, first ask: are schools spotting milder traits, or are more clinicians available? Plan your staffing around the local count, not the national average.

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Pull last year’s school-reported autism count for your zip code and adjust your summer schedule capacity.

02At a glance

Intervention
not applicable
Design
other
Population
autism spectrum disorder
Finding
not reported

03Original abstract

We tested for differences in the prevalence of autism spectrum conditions (ASC) in school-aged children in three geographical regions in the Netherlands. Schools were asked to provide the number of children enrolled, the number having a clinical diagnosis of ASC and/or two control neurodevelopmental conditions. Prevalence was evaluated by negative binomial regression and adjustments were made for non-response and size of the schools. The prevalence estimates of ASC in Eindhoven was 229 per 10,000, significantly higher than in Haarlem (84 per 10,000) and Utrecht (57 per 10,000), whilst the prevalence for the control conditions were similar in all regions. Phase two is planned to validate school-reported cases using standardized diagnostic methods and to explore the possible causes for these differences.

Journal of autism and developmental disorders, 2012 · doi:10.1007/s10803-011-1302-1