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Q&A with Eric Fombonne: Are autism’s rising rates real?

by  /  15 May 2012
The Expert:

Nebulous numbers: Eric Fombonne says the new CDC report does not necessarily mean that autism prevalence is increasing.

In March, the Centers for Disease Control and Prevention (CDC) released what on the surface seemed to be an alarming report. It found that the rate of autism has increased 23 percent — from 1 in 110 children to 1 in 88 — in the past two years, and a whopping 78 percent between 2002 and 20081.

The findings immediately raised questions about how much of the rise is because of heightened awareness of autism or changes in the way it is diagnosed, and how much can be attributed to a true increase in its incidence.

The CDC data were collected in 2008 at 14 sites across the U.S. that are part of the Autism and Developmental Disabilities Monitoring Network. Researchers looked at medical and education records for 337,093 8-year-olds and determined whether they met diagnostic criteria for autism spectrum disorders.

Eric Fombonne, Canada Research Chair in child psychiatry at McGill University in Montreal, has spent the past 20 years analyzing the prevalence of autism. He digs into the CDC data with SFARI.org, explaining that big differences among different states and among children of different ethnicities, driven by the challenge of identifying all children with autism, are likely to be major contributors to the apparent increase.

 SFARI.org: Do the numbers in the CDC report represent a real increase in the prevalence of autism?

Eric Fombonne: This interpretation is only one of many.My approach has been to look at these data and systematically examine how alternative explanations could explain these trends. The idea that the incidence is increasing should only be accepted if alternative explanations can confidently be ruled out.

 SFARI.org: What are some of these other factors?

EF: Differences in ascertainment [the ability to identify cases in surveys] and in diagnostic concepts and criteria are still significant issues.

Variability in prevalence among different sites provides evidence of ascertainment difficulties. First, it is important to realize that the current CDC rate of 1.1 percent is only an average that is obtained by pooling together different figures and is not more ‘true’ than each estimate that contributes to it.

Vast variability: There is a more than four-fold difference between the prevalence of autism in Alabama, which has the lowest rate, and Utah, which has the highest. The U.S. average rate is highlighted in red. States that used only health records (green) tend to have lower rates than those that used both health and educational records (blue).

The variability in ingredients of this average is also important to consider. In the CDC study, there is a roughly four-fold difference in the estimates between Alabama, the state with the lowest prevalence (4.8 per 1,000 children), and Utah, the state with the highest prevalence (21.2 per 1,000). (See graph, right.) Nobody interprets these site differences as differences in incidence. It’s a difference in ascertainment.

This variability within the same study can be compared to that between surveys conducted six years apart: 6.6 per 1,000 children according to a 2002 survey and 11.3 per 1,000 children according to the most recent survey, from 2008.

If the four-fold difference in the new survey does not raise concerns about different incidence rates across states, why should a less than two-fold rate difference in surveys conducted six years apart raise concerns about an ‘epidemic’?

 SFARI.org: Were you surprised by the numbers in the new report?

EF: No. I predicted three years ago that we would see such an increase2. Some states are improving their identification of children with autism due to better services, heightened public awareness and the development of local expertise. This will continue in the future, especially in states or population subgroups where identification of children with autism is currently lagging behind. I therefore predict that we will see additional increases in national U.S. estimates.

 SFARI.org: Why is there so much variability?

Margin of error: The states with the highest prevalence, Utah and New Jersey, also have the widest error bars because of their small sample sizes. States that used only medical records to assess prevalence (open circles) tend to have lower rates than those that used both medical and education records (filled circles).

Some states use only medical records, others use both medical and educational records. If next time all states include educational sources, the rates will go up, not because of an increased incidence but because the method will be more efficient at identifying cases. (See figure, left.)

 SFARI.org: The changes in prevalence seem to vary among different ethnic backgrounds. From 2006 to 2008, rates among non-Hispanic whites have increased 16 percent, compared with 42 percent among blacks and 29 percent among Hispanics. Is that significant?

EF: Yes.Traditionally, there has been systematic under-ascertainment of these groups, especially Hispanics, in the U.S.

If you look backward to 2006, rates were much lower in children from these ethnic backgrounds, and they were therefore expected to rise relatively more than in more mainstream groups. Indeed, the rates have now disproportionately increased in these ethnic minorities. That is good; it means more children from ethnic minorities are being identified, and hopefully accessing support services. Note, however, that the overall prevalence among Hispanic and black children is still much lower than that among white children by factors ranging from 17 to 33 percent. As a consequence, in future CDC surveys, the rates will ‘catch up’ in these groups, leading to further increases in mean rates in the U.S.

 SFARI.org: Do the states with the highest rates reflect the true prevalence of autism?

EF: That is more difficult to evaluate.However, I noted some methodological  peculiarities in the survey methods employed in the two states with the highest rates.

If you look at the figure (above, left), Utah has the highest rate but also the biggest error bar. That is because it had an extremely low sample size, a surveyed population of about 2,100 children, compared with more than 36,000 in Alabama and even over 50,000 in Georgia. Also, New Jersey surveyed a population of 7,000, under the 10,000 initial CDC requirement to be included in the study. Utah and New Jersey were added to the study at a later stage and relied on different sampling strategies (using school districts as compared to entire counties). The consequence is that the denominators used to calculate prevalence in these states had to be estimated with different methods, leaving open the question of their validity.

It is also possible that, because New Jersey historically has been good about financing special education and other services, it attracted more families that have children with autism. Or those families are more likely to stay there.

When I reviewed the data, I also found that children with autism from the Utah sample are unusual in several ways. They have the lowest rate of mental retardation, 13 percent compared with the U.S. average of 38 percent. They also have the lowest male-to-female ratio, 2.7 to 1, compared with the typical average of 4.6 to 1. Taken together, these characteristics are really puzzling, because typically you expect a greater sex ratio at the higher-functioning end of the spectrum.The opposite pattern reported in Utah points to a very atypical sample.

 SFARI.org: Do all these factors explain the increase?

EF: We do not know. We cannot demonstrate that all this adds up to the entire increase. Equally, we also cannot infer that the incidence is increasing, which the CDC researchers rightly point out in their abstract.

Irrespective of whether the incidence is increasing, the rate is important to know because it has implications for services.

 SFARI.org: How can we better determine whether there is a true increase?

EF: Given its means and funding power, the CDC is the best machine to do this presently in the U.S. Theirmethods are quite consistent across surveys and over time. It is worth noting, however, that the CDC surveys do not typically screen for autism in children in mainstream schools or home-schooled children. Children are also not directly evaluated for diagnostic confirmation. The CDC has provided convincing data on small subsamples that its indirect approach to diagnosis is valid, but we do not know if this holds true across sites or over time.

One option is to follow large birth cohorts prospectively, as is being done in Norway. If you follow them over time, you can capture most kids with autism at a later age. But the costs would be prohibitive.

I have other ideas, but I’m not sure I would put my money or energy into it. The whole point of demonstrating changes in incidence is to identify causes of autism, such as environmental events, that could potentially be controlled to prevent disease occurrence. But so far, the exposures we know of, such as prenatal exposure to various medications and possibly some neurotoxins or infectious agents, have only weak associations (if any) with autism and can at most explain only a tiny fraction of the increase. We need more persuasive evidence.


1:Autism and Developmental Disabilities Monitoring Network Surveillance Year 2008 Principal Investigators MMWR Surveill. Summ. 61, 1-19 (2012) PubMed

2:Fombonne E. Pediatr. Res. 65, 591-598 (2009) PubMed

5 responses to “Q&A with Eric Fombonne: Are autism’s rising rates real?”

  1. RAJensen says:

    A recent Norwegian study (Feb 2012) published the rate of autism in two large Norwegian Counties. The study followed 31,015 children ages 6 to 12. They found that the rate of autism was increasing but that the prevelance rates were less than half the prevelance rates published by the CDC.
    Norway= 1/196 (51/10,000)(0,5%)
    CDC= 1/88 (111/10,000) (1.1%)


    What impact will DSM5 have on prevelance rates? Johnny Madsom diagnosed a very large group of toddlers currently diagnosed with autism (DSM-IV). 2,721 toddlers participated in the study. The result: 47% of toddlers currently diagnosed with autism would not be diagnosed with autism according to the new DSM5 proposal. This replicates two previous studies that found DSM5 will diagnose fewer people with autism:


  2. RAJensen says:

    Another study that examined the diagnosis of children diagnosed with PDD/NOS (DSM-IV) found that many children currently diagnosed with PDD/NOS would be missed.


    The only group that has failed to see a reduction in diagnosed cases under the DSM5 proposal is the DSM5 own working group on autism in their field trials. A reduction in diagnosed cases has now been seen in toddlers, young children/adolescents, adults, Asperger Syndrome and PDD/NOS.

    Is it time to place the publication of DSM5 on hold for the foreseeable future?


  3. RAJensen says:

    Another reason to place the arbitrary 2013 publication date for DSM5 on hold is that there is a dispute between the DSM5 and ICD11 working goups for autism. In the past the two working groups collaberated very closely to ensure that these two diagnostic manuals would be in agreement regarding diagnostic criteria for autism published in both manuals.

    The DSM5 working group considers autism to be dimensional in concept rather the DSM-IV concept of autism being categorical. Sir Michael Rutter who chairs the ICD11 working group considers the categorical and dimensional approaches to be combined. Rutter also has probelms not only with concepts of DSM5 but also the methodolgy of DSM5.

    ‘At the moment there are important differences between proposals for DSM-5 and ICD-11. For the most part, there is broad agreement on the overall concepts but there are difficulties with respect to the details. That arises most especially because the DSM-5 starts with dealing with research criteria before considering the concepts and WHO does it the opposite way round. That is to say, the starting point with WHO is the clinical conceptualisation and the clinical criteria. At a later point, of course, research criteria have to be developed but that comes secondarily. In my view, that is the most appropriate way round’.

    Sir Michael Rutter

  4. RP says:

    This flat-earth analysis of autism would be laughable if it were not such a tragic betrayal of thousands of victims. Numerous people with decades of extensive personal experience have been well aware for many years of a real increase of autistic behaviors, not merely of identified cases. There’s plenty other evidence I could further point out here but given Dr Fombonne has been professionally publishing (and allegedly critically researching) on this subject for so long I fail to see why it should be necessary for me to point it out to him. Readers don’t need me to tell them why some people could be resisting the reality of an autism increase, and the selective speculations Dr Fombonne has published here serve only to reinforce such cynical thoughts.

  5. Oren Evans says:

    Autism researchers are so biased that they fail to see the connection between many of their studies. Here is a list of what is known about autism from various studies:
    (1) male/female ratio 6/1.
    (2) There is a seasonal variation.
    (3) Sharp rise in autism starting in mid 1980’s.
    (4) Increased risk for day care children.
    (5) Low or no autism among Amish.
    (6) Increased risk for birth weight less than 3.5 pounds.
    (7) Rapid visual response time in autistic people.
    (8) Increased risk in 10 southern California neighborhoods.
    (9) Increased risk very near some California freeways.
    (10) Strong hereditary component.
    (11) First paper describing autism published in 1941 based on a study of 11 children born in the early 1930’s.

    There is a common thread that pulls all of these pieces of the puzzle together. For years I have been trying to get this taken seriously by someone or some organization willing to put this hypothesis to the test or if nothing else lust get the word out there. Check it out on FB Oren Evans.

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