Top

Journal of Autism and Developmental Disorders

Gepubliceerd in:

01-04-2015 | Original Paper

Spatial Relative Risk Patterns of Autism Spectrum Disorders in Utah

Auteurs: Amanda V. Bakian, Deborah A. Bilder, Hilary Coon, William M. McMahon

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 4/2015

Abstract

Heightened areas of spatial relative risk for autism spectrum disorders (ASD), or ASD hotspots, in Utah were identified using adaptive kernel density functions. Children ages four, six, and eight with ASD from multiple birth cohorts were identified by the Utah Registry of Autism and Developmental Disabilities. Each ASD case was gender-matched to 20 birth cohort controls. Demographic and socioeconomic characteristics of children born inside versus outside ASD hotspots were compared. ASD hotspots were found in the surveillance area for all but one birth cohort and age group sample; maximum relative risk in these hotspots ranged from 1.8 to 3.0. Associations were found between higher socioeconomic status and birth residence in an ASD hotspot in five out of six birth cohort and age group samples.

vorige artikel Assessment of Pretend Play in Prader–Willi Syndrome: A Direct Comparison to Autism Spectrum Disorder

volgende artikel Adaptive Profiles in Autism and Other Neurodevelopmental Disorders

Alleen toegankelijk voor geautoriseerde gebruikers

Abrahams, B. S., & Geschwind, D. H. (2008). Advances in autism genetics: on the threshold of new neurobiology. Nature Reviews Genetics, 9, 341–355.CrossRefPubMedCentralPubMed

Altevogt, B. M., Hanson, S. L., & Leshner, A. I. (2008). Autism and the environment: Challenges and opportunities for research. Pediatrics, 121(6), 1225–1229.CrossRefPubMed

Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B, 57(1), 289–300.

Besag, J., & Newell, J. (1991). The detection of clusters in rare diseases. Journal of the Royal Statistical Society. Series A, 154(Part 1), 143–155.

Bhasin, T. K., & Schendel, D. (2007). Sociodemographic risk factors for autism in a US metropolitan area. Journal of Autism and Developmental Disorders, 37(4), 667–677.CrossRefPubMed

Bilder, D. A., Bakian, A. V., Viskochil, J., Clark, E. A. S., Botts, E. B., Smith, K. R., et al. (2013). Maternal prenatal weight gain and autism spectrum disorders. Pediatrics. doi:10.1542/peds.2013-1188.

Bilder, D., Pinborough-Zimmerman, J., Miller, J., & McMahon, W. (2009). Prenatal, perinatal, and neonatal factors associated with autism spectrum disorder. Pediatrics, 123(5), 1293–1300.CrossRefPubMed

Bithell, J. F. (1990). An application of density estimation to geographical epidemiology. Statistics in Medicine, 9(6), 691–701.CrossRefPubMed

Bromley, R. L., Mawer, G., Clayton-Smith, J., & Baker, G. A. (2008). Autism spectrum disorders following in utero exposure to antiepileptic drugs. Neurology, 71(23), 1923–1924.CrossRefPubMed

Burd, L., Fisher, W., & Kerbeshian, J. (1987). A prevalence study of pervasive developmental disorders in North Dakota. Journal of the American Academy of Child and Adolescent Psychiatry, 26(5), 700–703.CrossRefPubMed

Canfield, M. A., Ramadhani, T. A., Langlois, P. H., & Waller, D. K. (2006). Residential mobility patterns and exposure misclassification in epidemiologic studies of birth defects. Journal of Exposure Science & Environmental Epidemiology, 16(6), 538–543.CrossRef

Centers for Disease Control and Prevention, Autism and Developmental Disabilities Monitoring Network Year 2008 Principal Investigators (CDC). (2012). Prevalence of autism spectrum disorders-Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2008. MMWR Surveillance Summary, 61(3), 1–19.

Centers for Disease Control and Prevention, Autism and Developmental Disabilities Monitoring Network Year 2008 Principal Investigators (CDC). (2014). Prevalence of autism spectrum disorder among children aged 8 years-Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2010. MMWR Surveillance Summary, 63(2), 1–21.

Croen, L. A., Grether, J. K., & Selvin, S. (2002). Descriptive epidemiology of autism in a California population: Who is at risk? Journal of Autism and Developmental Disorders, 32(3), 217–224.CrossRefPubMed

Croen, L. A., Grether, J. K., Yoshida, C. K., Odouli, R., & Hendrick, V. (2011). Antidepressant use during pregnancy and childhood Autism Spectrum Disorders. Archives of General Psychiatry, 68(11), 1104–1112.CrossRefPubMed

Croen, L. A., Najjar, D. V., Bireman, B., & Brether, J. K. (2007). Maternal and paternal age and risk of autism spectrum disorders. Archieves of Pediatrics and Adolescent Medicine, 161(4), 334–340.CrossRef

Davies, T. M., & Hazelton, M. L. (2010). Adaptive kernel estimation of spatial relative risk. Statistics in Medicine, 29(23), 2423–2437.PubMed

Davies, T. M., Hazelton, M. L., Marshall, J. C. (2011). Sparr: Analyzing spatial relative risk using fixed and adaptive kernel density estimation in R. Journal of Statistical Software, 39(1), 1–14.

Downey, D. J., & Timberlake, M. F. (2006). Diversity in deseret: Race/ethnic segregation and inequality in Utah. In C. D. Zick & K. S. Smith (Eds.), Utah in the new millennium: A demographic perspective (pp. 203–215). Salt Lake City, UT: University of Utah Press.

Durkin, M. S., Maenner, M. J., Meaney, F. J., Levy, S. E., DiGuiseppi, C., Nicholas, J. S., et al. (2010). Socioeconomic inequality in the prevalence of Autism Spectrum Disorder: Evidence from a U.S. cross-sectional study. PLoS ONE, 5(7), 1–8.CrossRef

Fernando, W. T. P. S., & Hazelton, M. L. (2014). Generalizing the spatial relative risk function. Spatial and Spatio-temporal Epidemiology, 8, 1–10.CrossRef

Fiscella, K., & Williams, D. R. (2004). Health disparities based on socioeconomic inequalities: implications for urban health care. Academic Medicine, 79(12), 1139–1147.CrossRefPubMed

Fombonne, E. (2003). Epidemiological surveys of autism and other pervasive developmental disorders: An update. Journal of Autism and Developmental Disorders, 33(4), 365–382.CrossRefPubMed

Fombonne, E., Du Mazaubrun, C., Cans, C., & Grandjean, H. (1997). Autism and associated medical disorders in a French epidemiological survey. Journal of the American Academy of Child and Adolescent Psychiatry, 36(11), 1561–1569.PubMed

Gardner, B. R., Strickland, M. J., & Correa, A. (2007). Application of the automated spatial surveillance program to birth defects surveillance data. Birth Defects Research Part A, 79(7), 559–564.CrossRef

Gatrell, A. C. (2002). Geographies of health: An introduction. Oxford, UK: Wiley-Blackwell.

Grady, S. C. (2006). Racial disparities in low birthweight and the contribution of residential segregation: A multilevel analysis. Social Science and Medicine, 63(12), 3013–3029.CrossRefPubMed

Grether, J. K., Anderson, M. C., Croen, L. A., Smith, D., & Windham, G. C. (2009). Risk of autism and increasing maternal and paternal age in a large North American population. American Journal of Epidemiology, 170(9), 1118–1126.CrossRefPubMed

Hallmayer, J., Cleveland, S., Torres, A., Phillips, J., Cohen, B., Torigoe, T., et al. (2011). Genetic heritability and shared environmental factors among twin pairs with autism. Archives of General Psychiatry, 68(11), 1095–1102.CrossRefPubMed

Hastie, T., & Tibshirani, R. (1990). Generalized additive models. New York: Chapman and Hall.

Hazelton, M. L., & Davies, T. M. (2009). Inference based on kernel estimates of the relative risk function in geographical epidemiology. Biometrical Journal, 51(1), 98–109.CrossRefPubMed

Hertz-Picciotto, I., Croen, L. A., Hansen, R., Jones, C. R., van de Water, J., & Pessah, I. N. (2006). The CHARGE study: An epidemiologic investigation of genetic and environmental factors contributing to autism. Environmental Health Perspectives, 114(7), 1119–1125.CrossRefPubMedCentralPubMed

Hoffman, K., Kalbrenner, A. E., Vieira, V. M., Daniels, J. L. (2012). The spatial distribution of known predictors of autism spectrum disorders impacts geographic variability in prevalence in central North Carolina. Environmental Health, 11, 80. doi:10.1186/1476-069X-11-80.

Hoffman, K., Vieira, V. M., Daniels, J. L. (2013). Brief report: Diminishing geographic variability in autism spectrum disorders over time? Journal of Autism and Developmental Disorders. doi:10.1007/s10803-013-1907-7.

Kalkbrenner, A. E., Daniels, J. L., Chen, J., Poole, C., Emch, M., & Morrissey, J. (2010). Perinatal exposure to hazardous air pollutants and autism spectrum disorders at age 8. Epidemiology, 21(5), 631–641.CrossRefPubMedCentralPubMed

Kelsall, J. E., & Diggle, P. J. (1995a). Kernel estimation of relative risk. Bernoulli, 1(1–2), 3–16.CrossRef

Kelsall, J. E., & Diggle, P. J. (1995b). Non-parametric estimation of spatial variation in relative risk. Statistics in Medicine, 14(21–22), 2335–2342.CrossRefPubMed

Kuldorff, M. (1997). Spatial scan statistic. Communications in statistics-theory and methods, 26(6), 1481–1496.CrossRef

Larsson, H. J., Eaton, W. W., Madsen, K. M., Vestergaard, M., Olesen, A. V., Agerbo, E., et al. (2005). Risk factors for autism: perinatal factors, parental psychiatric history, and socioeconomic status. American Journal of Epidemiology, 161(10), 916–925.CrossRefPubMed

Lee, M. (2009). Neighborhood residential segregation and mental health: A multilevel analysis on Hispanic Americans in Chicago. Social Science and Medicine, 68(11), 1975–1984.CrossRefPubMed

Liptak, G. S., Benzoni, L. B., Mruzek, D. W., Nolan, K. W., Thingvoll, M. A., Wade, C. M., et al. (2008). Disparities in diagnosis and access to health services for children with autism: Data from the National Survey of Children’s Health. Journal of Developmental and Behavioral Pediatrics, 29(3), 152–160.CrossRefPubMed

Liu, K. Y., King, M., & Bearman, P. S. (2010). Social influence and the autism epidemic. American Journal of Sociology, 115(5), 1387–1434.CrossRef

London, E., & Etzel, R. A. (2000). The environment as an etiologic factor in autism: A new direction for research. Environmental Health Perspectives, 108(Suppl 3), 401–404.CrossRefPubMedCentralPubMed

Mandell, D. S., Novak, M. M., & Zubritsky, C. D. (2005). Factors associated with age of diagnosis among children with autism spectrum disorders. Pediatrics, 116(6), 1480–1486.CrossRefPubMedCentralPubMed

Mandell, D. S., Wiggins, L. D., Carpenter, L. A., Daniels, J., DiGuiseppi, C., Durkin, M. S., et al. (2009). Racial/ethnic disparities in the identification of children with autism spectrum disorders. American Journal of Public Health, 99(3), 493–498.CrossRefPubMedCentralPubMed

Mason, S. M., Messer, L. C., Laraia, B. A., & Mendola, P. (2009). Segregation and preterm birth: The effects of neighborhood racial composition in North Carolina. Health & Place, 15(1), 1–9.CrossRef

Mazumdar, S., King, M., Zerubavel, N., & Bearman, P. S. (2010). The spatial structure of autism in California, 1993–2001. Health & Place, 16(3), 539–546.CrossRef

Mazumdar, S., Winter, A., Liu, K., & Bearman, P. (2012). Spatial clusters of autism births and diagnoses point to contextual drivers of increased prevalence. Social Science & Medicine. doi:10.1016/j.socscimed.2012.11.032.

Newschaffer, C. J., Croen, L. A., Daniels, J., Giarelli, E., Grether, J. K., Levy, S. E., et al. (2007). The epidemiology of autism spectrum disorders. Annual Review of Public Health, 28, 235–258.CrossRefPubMed

Osypuk, T. L., & Acevedo-Garcia, D. (2008). Are racial Disparities in preterm birth larger in hypersegregated areas? American Journal of Epidemiology, 167(11), 1295–1304.CrossRefPubMed

Pedersen, A., Pettygrove, S., Meaney, F. J., Mancilla, K., Gotschall, K., Kessler, D. B., et al. (2012). Prevalence of autism spectrum disorders in Hispanic and non-Hispanic white children. Pediatrics, 129(3), e629–e635.CrossRefPubMed

Persico, A. M., & Bourgeron, T. (2006). Searching for ways out of the autism maze: Genetic, epigenetic and environmental clues. Trends in Neurosciences, 29(7), 349–358.CrossRefPubMed

Pinborough-Zimmerman, J., Bakian, A. V., Fombonne, E., Bilder, D., Taylor, J., & McMahon, W. M. (2012). Changes in the administrative prevalence of autism spectrum disorders: Contribution of special education and health from 2002-2008. Journal of Autism and Developmental Disabilities, 42(4), 521–530.CrossRef

Pinborough-Zimmerman, J., Bilder, D., Bakian, A., Satterfield, R., Carbone, P. S., Nangle, B. E., et al. (2011). Sociodemographic risk factors associated with Autism Spectrum Disorders and Intellectual Disability. Autism Research, 4(6), 1–11.CrossRef

R Development Core Team. (2012). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. Downloaded from http://www.R-project.org.

Rai, D., Lewis, G., Lundberg, M., Araya, R., Svensson, A., Dalman, C., et al. (2012). Parental socioeconomic status and risk of offspring autism spectrum disorders in a Swedish population-based study. Journal of the American Academy of Child and Adolescent Psychiatry, 51(5), 467–476.CrossRefPubMed

Ritvo, E. R., Breeman, B. J., Pingree, C., Mason-Brothers, A., Jorde, L., Jenson, W. R., et al. (1989). The UCLA-University of Utah epidemiologic survey of autism: Prevalence. American Journal of Psychiatry, 146(2), 194–199.

Roberts, E. M., Gross, R., Weiser, M., Bresnahan, M., Silverman, J., & Wolff, C. (2007). Maternal residence near agricultural pesticide applications and autism spectrum disorders among children in the California Central Valley. Environmental Health Perspectives, 115(1), 1482–1489.PubMedCentralPubMed

Rushton, G., & Lolonis, P. (1996). Exploratory spatial analysis of birth defect rates in an urban population. Statistics in Medicine, 15(7–9), 717–726.CrossRefPubMed

SAS Institute. (2008). SAS version 9.2 Cary, North Carolina, USA: SAS Institute.

Scott, D. J., & Terrell, G. R. (1986). Biased and unbiased cross-validation in density estimation. Technical Report # 23, Department of Statistics, Stanford University, CA.

Shattuck, P. T., Durkin, M., Maenner, M., Newschaffer, C., Mandell, D. S., Wiggins, L., et al. (2009). Timing of identification among children with an autism spectrum disorder: Findings from a population-based surveillance study. Journal of the American Academy of Child and Adolescent Psychiatry, 48(5), 474–483.CrossRefPubMedCentralPubMed

Silverman, B. W. (1986). Density estimation for statistics and data analysis. London, UK: Chapman and Hall.CrossRef

Strömland, K., Nordin, V., Miller, M., Akerström, B., & Gillberg, C. (1994). Autism in thalidomide embryopathy: A population study. Developmental Medicine and Child Neurology, 36(4), 351–356.CrossRefPubMed

Sutcliffe, J. S. (2008). Insights into the pathogenesis of autism. Science, 321(5886), 208–209.CrossRefPubMed

Treffert, D. A. (1970). Epidemiology of infantile autism. Archives of General Psychiatry, 22(5), 431–438.CrossRefPubMed

Van Meter, K. C., Christiansen, L. E., Delwiche, L. D., Azari, R., Carpenter, T. E., & Hertz-Picciotto, I. (2010). Geographic distribution of autism in California: A retrospective birth cohort analysis. Autism Research, 3(1), 19–29.PubMedCentralPubMed

Volk, H. E., Lurmann, F., Penfold, B., Hertz-Picciotto, I., & McConnell, R. (2013). Traffic-related air pollution, particulate matter, and autism. Archives of General Psychiatry, 70(1), 71–77.

Waller, L. A., & Gotway, C. A. (2004). Applied spatial statistics for public health data. New York: Wiley.CrossRef

Walton, E. (2009). Residential segregation and birth weight among racial and ethnic minorities in the United States. Journal of Health and Social Behavior, 50(4), 427–442.CrossRefPubMed

Webster, T., Vieira, V., Weinberg, J., & Aschengrau, A. (2006). Method for mapping population-based case-control studies: An application using generalized additive models. International Journal of Health Geography, 5, 26. doi:10.1186/1476-072X-5-26.

Windham, G. C., Anderson, M. C., Croen, L. A., Smith, K. S., Collins, J., & Grether, J. K. (2011). Birth prevalence of autism spectrum disorders in the San Francisco Bay area by demographic and ascertainment source characteristics. Journal of Autism and Developmental Disabilities, 41(10), 1362–1372.CrossRef

Windham, G. C., Zhang, L., Gunier, R., Croen, L. A., & Grether, J. K. (2006). Autism spectrum disorders in relation to distribution of hazardous air pollutants in the San Francisco bay area. Environmental Health Perspectives, 114(9), 1438–1444.CrossRefPubMedCentralPubMed

Zerbo, O., Iosif, A., Walker, C., Ozonoff, S., Hansen, R. L., & Hertz-Picciotto, I. (2013). Is maternal influenza or fever during pregnancy associated with autism or developmental delays? Results from the CHARGE (Childhood Autism Risks from Genetics and Environment) Study. Journal of Autism and Developmental Disorders, 43, 25–33.CrossRefPubMedCentralPubMed

Titel: Spatial Relative Risk Patterns of Autism Spectrum Disorders in Utah
Auteurs: Amanda V. Bakian
Deborah A. Bilder
Hilary Coon
William M. McMahon
Publicatiedatum: 01-04-2015
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 4/2015
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-014-2253-0

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Andere artikelen Uitgave 4/2015

Response to the Letter to the Editor: Impacts of Autistic Behaviors, Emotional and Behavioral Problems on Parenting Stress in Caregivers of Children with Autism: Errors and Discrepancies

A Review of Peer-Mediated Social Interaction Interventions for Students with Autism in Inclusive Settings

The Impact of Delays on Parents’ Perceptions of Treatments for Problem Behavior

Risk of Autism Associated With General Anesthesia During Cesarean Delivery: A Population-Based Birth-Cohort Analysis

Varieties of Misdiagnosis in ASD: An Illustrative Case Series

Parenting Stress, Salivary Biomarkers, and Ambulatory Blood Pressure: A Comparison Between Mothers and Fathers of Children with Autism Spectrum Disorders