Matthew J Maenner1, Maureen S Durkin. 1. Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA. mjmaenner@wisc.edu
Abstract
OBJECTIVE: The goal was to determine whether the increasing prevalence of autism, on the basis of educational data, in Wisconsin between 2002 and 2008 was uniform in all school districts or was greatest in districts with lower baseline (2002) prevalence. METHODS: Special education counts were obtained for all Wisconsin elementary school districts from 2002 through 2008. The annual prevalence of children being served under the autism category was calculated for each district, districts were grouped into 8 categories (octiles) according to their baseline prevalence, and prevalence trends were plotted according to octile. RESULTS: The overall prevalence of use of the autism category in Wisconsin elementary schools increased from 4.9 to 9.0 cases per 1000 children between 2002 and 2008. The magnitude of this increase was not uniform across districts and was inversely associated with baseline prevalence. Prevalence in the lowest octile increased from 0.5 cases per 1000 students in 2002 to 7.0 cases per 1000 students in 2008 (P < .0001), whereas no significant trend was seen for the octile with the highest baseline prevalence (range: 11.2-12.3 cases per 1000 students; P = .11). The highest-octile/lowest-octile prevalence ratio decreased from 24.6 (95% confidence interval: 16.2-37.3) in 2002 to 1.8 (95% confidence interval: 1.6-2.1) in 2008. CONCLUSIONS: The prevalence of use of the autism special education category in Wisconsin seems to be leveling off in the school districts with the highest prevalence rates, at ∼12 cases per 1000 students, whereas the gap in prevalence between districts overall has narrowed.
OBJECTIVE: The goal was to determine whether the increasing prevalence of autism, on the basis of educational data, in Wisconsin between 2002 and 2008 was uniform in all school districts or was greatest in districts with lower baseline (2002) prevalence. METHODS: Special education counts were obtained for all Wisconsin elementary school districts from 2002 through 2008. The annual prevalence of children being served under the autism category was calculated for each district, districts were grouped into 8 categories (octiles) according to their baseline prevalence, and prevalence trends were plotted according to octile. RESULTS: The overall prevalence of use of the autism category in Wisconsin elementary schools increased from 4.9 to 9.0 cases per 1000 children between 2002 and 2008. The magnitude of this increase was not uniform across districts and was inversely associated with baseline prevalence. Prevalence in the lowest octile increased from 0.5 cases per 1000 students in 2002 to 7.0 cases per 1000 students in 2008 (P < .0001), whereas no significant trend was seen for the octile with the highest baseline prevalence (range: 11.2-12.3 cases per 1000 students; P = .11). The highest-octile/lowest-octile prevalence ratio decreased from 24.6 (95% confidence interval: 16.2-37.3) in 2002 to 1.8 (95% confidence interval: 1.6-2.1) in 2008. CONCLUSIONS: The prevalence of use of the autism special education category in Wisconsin seems to be leveling off in the school districts with the highest prevalence rates, at ∼12 cases per 1000 students, whereas the gap in prevalence between districts overall has narrowed.
Authors: Matthew J Maenner; Catherine E Rice; Carrie L Arneson; Christopher Cunniff; Laura A Schieve; Laura A Carpenter; Kim Van Naarden Braun; Russell S Kirby; Amanda V Bakian; Maureen S Durkin Journal: JAMA Psychiatry Date: 2014-03 Impact factor: 21.596
Authors: Ksenia Z Meyza; D Caroline Blanchard; Brandon L Pearson; Roger L H Pobbe; Robert J Blanchard Journal: Behav Brain Res Date: 2011-11-12 Impact factor: 3.332
Authors: D Caroline Blanchard; Erwin B Defensor; Ksenia Z Meyza; Roger L H Pobbe; Brandon L Pearson; Valerie J Bolivar; Robert J Blanchard Journal: Neurosci Biobehav Rev Date: 2011-07-01 Impact factor: 8.989
Authors: Eric Rubenstein; Julie Daniels; Laura A Schieve; Deborah L Christensen; Kim Van Naarden Braun; Catherine E Rice; Amanda V Bakian; Maureen S Durkin; Steven A Rosenberg; Russell S Kirby; Li-Ching Lee Journal: Public Health Rep Date: 2017-12-19 Impact factor: 2.792
Authors: Michael D Kogan; Catherine J Vladutiu; Laura A Schieve; Reem M Ghandour; Stephen J Blumberg; Benjamin Zablotsky; James M Perrin; Paul Shattuck; Karen A Kuhlthau; Robin L Harwood; Michael C Lu Journal: Pediatrics Date: 2018-12 Impact factor: 7.124
Authors: Hilary E Kratz; Jill Locke; Zinnia Piotrowski; Rachel R Ouellette; Ming Xie; Aubyn C Stahmer; David S Mandell Journal: J Psychoeduc Assess Date: 2015-07