Literature DB >> 21905245

Sociodemographic risk factors associated with autism spectrum disorders and intellectual disability.

Judith Pinborough-Zimmerman1, Deborah Bilder, Amanda Bakian, Robert Satterfield, Paul S Carbone, Barry E Nangle, Harper Randall, William M McMahon.   

Abstract

This study examined the hypotheses that (1) sociodemographic risk factors in young children with autism spectrum disorders (ASD) and/or intellectual disability (ID) significantly vary by disability type, and (2) measures of income (mean adjusted gross income, mean federal taxes paid, and mean tax exemptions) significantly increase between 1994 and 2002, and are lower in families with a child with ASD and/or ID compared with the general population. A multiple source surveillance system utilizing a retrospective record review was used to identify ASD and ID cases from a population of 26,108 eight-year-old children born in 1994 and living in Utah in 2002. ASD without ID (ASD-only, n = 99) cases were significantly more likely to be male (P<0.01) and have mothers of White non-Hispanic ethnicity (P = 0.02). ASD with ID (ASD/ID, n = 33) cases were significantly more likely to be male (P<0.01) and have mothers older than 34 years (P = 0.03). ID without ASD (ID-only, n = 113) cases were significantly more likely to have fathers older than 34 years (P<0.01) and were significantly less likely to have mothers with >13 years education (P<0.01). Measures of income for cases at birth and at 8 years of age were not significantly lower than the general population and mean adjusted income of cases significantly increased from birth to 8 years of age. Investigations focused on defining early sociodemographic risk factors by different endophenotypes of ASD may assist in identifying risk factors for this complex group of neurodevelopmental disorders. Aggregate tax information may be a unique resource to utilize for population-based analysis.
Copyright © 2011, International Society for Autism Research, Wiley-Liss, Inc.

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Mesh:

Year:  2011        PMID: 21905245     DOI: 10.1002/aur.224

Source DB:  PubMed          Journal:  Autism Res        ISSN: 1939-3806            Impact factor:   5.216


  8 in total

1.  Socioeconomic status and the risk of suspected autism spectrum disorders among 18-month-old toddlers in Japan: a population-based study.

Authors:  Takeo Fujiwara
Journal:  J Autism Dev Disord       Date:  2014-06

Review 2.  Environmental factors associated with autism spectrum disorder: a scoping review for the years 2003-2013.

Authors:  M Ng; J G de Montigny; M Ofner; M T Do
Journal:  Health Promot Chronic Dis Prev Can       Date:  2017-01       Impact factor: 3.240

3.  Body mass index (BMI) trajectories in infancy differ by population ancestry and may presage disparities in early childhood obesity.

Authors:  Sani M Roy; Alessandra Chesi; Frank Mentch; Rui Xiao; Rosetta Chiavacci; Jonathan A Mitchell; Andrea Kelly; Hakon Hakonarson; Struan F A Grant; Babette S Zemel; Shana E McCormack
Journal:  J Clin Endocrinol Metab       Date:  2015-01-30       Impact factor: 5.958

4.  Autism spectrum disorder prevalence and associations with air concentrations of lead, mercury, and arsenic.

Authors:  Aisha S Dickerson; Mohammad H Rahbar; Amanda V Bakian; Deborah A Bilder; Rebecca A Harrington; Sydney Pettygrove; Russell S Kirby; Maureen S Durkin; Inkyu Han; Lemuel A Moyé; Deborah A Pearson; Martha Slay Wingate; Walter M Zahorodny
Journal:  Environ Monit Assess       Date:  2016-06-14       Impact factor: 2.513

5.  Spatial relative risk patterns of autism spectrum disorders in Utah.

Authors:  Amanda V Bakian; Deborah A Bilder; Hilary Coon; William M McMahon
Journal:  J Autism Dev Disord       Date:  2015-04

6.  Maternal Race-Ethnicity, Immigrant Status, Country of Birth, and the Odds of a Child With Autism.

Authors:  Jenny Fairthorne; Nick de Klerk; Helen M Leonard; Laura A Schieve; Marshalyn Yeargin-Allsopp
Journal:  Child Neurol Open       Date:  2017-01-12

7.  Environmental and state-level regulatory factors affect the incidence of autism and intellectual disability.

Authors:  Andrey Rzhetsky; Steven C Bagley; Kanix Wang; Christopher S Lyttle; Edwin H Cook; Russ B Altman; Robert D Gibbons
Journal:  PLoS Comput Biol       Date:  2014-03-13       Impact factor: 4.475

Review 8.  Disabling chronic conditions in childhood and socioeconomic disadvantage: a systematic review and meta-analyses of observational studies.

Authors:  Nicholas J Spencer; Clare M Blackburn; Janet M Read
Journal:  BMJ Open       Date:  2015-09-03       Impact factor: 3.006

  8 in total

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