A couple of studies have been published claiming to document a correlation between autism and environmental pollutants. It is not surprising that such studies would come out as the thimerosal hypothesis of autism is phased out. It is also not surprising considering that it is now well known that the "epidemic" of autism was geographically isolated for the most part.
Palmer et al. (2006) did a correlation analysis in Texas, focusing on mercury emissions.
Windham et al. (2006) is a more methodologically sound study, not married to mercury, that looked at the relation between autism and "hazardous air pollutants" (HAPs) in the San Francisco Bay Area, California.
Lewandowski commented on Palmer et al. and noted several important considerations that invalidate it:
- Mercury deposits in the western U.S. (including Texas) come mainly from Asia. Texas emissions are deposited in the eastern U.S.
- The primary source of mercury exposure in humans is fish, and fish are also exposed to mercury elsewhere.
- Autism incidence was already known to be linked to degree of urbanization. A correlation with many factors, including other chemicals, is thus expected.
The
response by Palmer et al. to Lewandowski was unsatisfactory and essentially conceded that the correlation was inconclusive and should be studied further.
Another point is that a major source of environmental mercury exposure is coal burning, which is not as much an issue as it used to be.
The rough link to degree of urbanization needs to be emphasized. Because of this link, if a researcher were to look for a correlation between, say, consumption of French fries and the administrative incidence of autism, they could very well find a correlation, giving credence to the
autism fries hypothesis. So it's not sufficient to document these types of correlations.
Windham et al. admit that there could be "uncontrolled confounding" in their study. This confounding may or may not be environmental in nature.
The California Department of Developmental Services (CDDS) provides sufficient information to determine if regional differences in autism prevalence are real. I will try to use this data to show that one should be skeptical of the correlations found by Windham et al. and any correlations where degree of urbanization acts as a proxy.
DataI will use data provided to me by CDDS. Readers can obtain this data by emailing
datax at dds.ca.gov and asking for the file named
CDER Qrt Data.XLS with autistic client characteristics for each regional center (or post your email address in the comments section). Readers may also find the
regional center map useful to follow the analysis.
Lack of EquivalenceIn order to make a valid claim that there is correlation between autism and something else, a researcher should make sure they are comparing apples with apples. If what "autism" is in one region differs from what "autism" is in another region, then the correlation analysis has no merit. One way to tell if "autism" is equivalent across regions is to compare the characteristics of those diagnosed with autism. Table 1 lists autistic client characteristics in regional centers across the Bay Area.
Table 1: Q4 2005 Autistic Client Characteristics By Regional Center| Regional Center | Autism-Epilepsy Ratio | Epilepsy | MR | Severe Behaviors | In MR Population |
|---|
| Golden Gate | 0.56 | 8.26% | 39.11% | 36.2% | 6.70% |
| North Bay | 0.59 | 6.90% | 31.60% | 17.84% | 5.92% |
| East Bay | 0.76 | 6.30% | 22.05% | 13.97% | 5.99% |
The autism-epilepsy ratio turns out to be a good indicator of prevalence for a region. (This could also be autism-cerebral palsy ratio, or the reader could determine the total population served by a regional center if so inclined). The last column of Table 1 represents the recognition of autism in the population with mental retardation. I have found that differences in this rate of recognition throw off the other proportions. So in this case we're fortunate that differences in this proportion in Table 1 are small.
Table 1 shows that there is inequivalence between regional centers. But it is also of interest that in regional centers with higher autism prevalence, the proportion of autistic clients with mental retardation, epilepsy and severe behaviors is lower. A more dramatic example of this phenomenon can be observed in Table 2.
Table 2: Q4 2005 Autistic Client Characteristics By Regional Center| Regional Center | Autism-Epilepsy Ratio | Epilepsy | MR | Severe Behaviors | In MR Population |
|---|
| San Diego | 0.62 | 6.82% | 54.73% | 23.42% | 9.26% |
| North LA | 1.50 | 6.06% | 22.56% | 21.11% | 9.59% |
We can see that North LA has an autism prevalence about 2.4 times that of San Diego, but proportionally, about 2.4 times as many autistics have mental retardation in San Diego as they do in North LA. (I chose these two regional centers because, again, their recognition of autism in the mental retardation population is similar, which allows for a fair comparison).
Evidence of Catch-UpThe differences in autism prevalence that exist today across regional centers were widened considerably during the "autism epidemic" of the 1990s. In fact, the "epidemic" was mostly confined to the Los Angeles area. These observations are illustrated in the following figure [courtesy of CDDS]:

Presumably, something unusual happened in the 1990s in LA that did not happen nearly as much elsewhere, e.g. there was a significant upsurge of environmental pollution. Whatever it was, it's apparently leveling off now. What's strange is that the regional center with the lowest prevalence of autism in the state, Central Valley, currently has an annual autism caseload growth of 23.94%, whereas the regional center with highest prevalence in the state, Westside, has an annual autism caseload growth of 8.7%. (Note that annual caseload growth is 10.5% for the state as a whole). One would have to assume that there has been a very significant shift in emissions of environmental pollution, with Central Valley all of the sudden surpassing Westside in emissions and growing much faster. It is far more likely that Central Valley was behind in its recognition of autism and is now simply catching up.
Why Only the Bay Area?It is unfortunate that Windham et al. decided to only look at the Bay Area. It would have been interesting to see their take on why the prevalence of autism in the Far Northern regional center (apparently a very sparsely populated area) is about 1.7 times that of the Central Valley regional center (which has a city, Fresno, population 400,000). Or why the prevalence of autism in East LA is slightly lower than that of Westside. Or why the South Central regional center has a considerably lower prevalence than all of the surrounding regional centers in the LA area.
RecommendationsBefore we can move forward with regional prevalence differences and whether they correlate to various environmental triggers, it is necessary to determine that these differences exist in reality. Recognition of autism in the population with mental retardation is the key variable, because once this proportion is adjusted, it appears that the rest of the variation can be explained through differences in the definition of "autism". So I would recommend carrying out the following pilot study. Random groups of clients with mental retardation from Central Valley and Westside should be selected (at least 100 each). An evaluator blind to region and to pre-existing diagnoses would evaluate the clients for DSM-IV autism. This would tell us if it is true that Westside has significantly more autism than Central Valley in reality.