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Autism prevalence and precipitation rates in California, Oregon, and Washington counties
Michael Waldman1, Sean Nicholson, Nodir Adilov
1Johnson Graduate School of Management, Cornell University, Ithaca, NY 14853, USA.
Objective:
To investigate empirically the possibility of an environmental trigger for autism among genetically vulnerable children that is positively associated with precipitation.
Design:
We used regression analysis to investigate autism prevalence rates and counts first in relation to mean annual county-level precipitation and then to the amount of precipitation a birth cohort was exposed to when younger than 3 years, controlling for time trend, population size, per capita income, and demographic characteristics. In some models, we included county fixed-effects rather than a full set of covariates.
Setting:
Counties in California, Oregon, and Washington.
Participants:
Children born in California, Oregon, and Washington between 1987 and 1999. Main Exposure County-level precipitation.
Main Outcome Measures:
County-level autism prevalence rates and counts.
Results:
County-level autism prevalence rates and counts among school-aged children were positively associated with a county's mean annual precipitation. Also, the amount of precipitation a birth cohort was exposed to when younger than 3 years was positively associated with subsequent autism prevalence rates and counts in Oregon counties and California counties with a regional developmental services center.
Conclusions:
These results are consistent with the existence of an environmental trigger for autism among genetically vulnerable children that is positively associated with precipitation. Further studies focused on establishing whether such a trigger exists and identifying the specific trigger are warranted.
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