Literature DB >> 19318992

Timing of identification among children with an autism spectrum disorder: findings from a population-based surveillance study.

Paul T Shattuck1, Maureen Durkin2, Matthew Maenner2, Craig Newschaffer2, David S Mandell2, Lisa Wiggins2, Li-Ching Lee2, Catherine Rice2, Ellen Giarelli2, Russell Kirby2, Jon Baio2, Jennifer Pinto-Martin2, Christopher Cuniff2.   

Abstract

OBJECTIVE: At what age are children with an autism spectrum disorder (ASD) identified by community providers? What factors influence the timing of when children are identified with ASDs? This study examined the timing of when children with ASDs are identified.
METHOD: Data came from 13 sites participating in the Centers for Disease Control and Prevention's 2002 multisite ongoing autism surveillance program, the Autism and Developmental Disabilities Monitoring Network. Survival analysis was used to examine factors that influence the timing of community-based identification and diagnosis. RESULT: Data from health and education records reveal that the median age of identification was 5.7 years (SE 0.08 years). Parametric survival models revealed that several factors were associated with a younger age of identification: being male, having an IQ of 70 or lower, and having experienced developmental regression. Significant differences in the age of identification among the 13 sites were also discovered.
CONCLUSIONS: The large gap between the age at which children can be identified and when they actually are identified suggests a critical need for further research, innovation, and improvement in this area of clinical practice.

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Mesh:

Year:  2009        PMID: 19318992      PMCID: PMC3188985          DOI: 10.1097/CHI.0b013e31819b3848

Source DB:  PubMed          Journal:  J Am Acad Child Adolesc Psychiatry        ISSN: 0890-8567            Impact factor:   8.829


  14 in total

1.  Comparing proportional hazards and accelerated failure time models: an application in influenza.

Authors:  Katie Patel; Richard Kay; Lucy Rowell
Journal:  Pharm Stat       Date:  2006 Jul-Sep       Impact factor: 1.894

2.  Factors associated with age of diagnosis among children with autism spectrum disorders.

Authors:  David S Mandell; Maytali M Novak; Cynthia D Zubritsky
Journal:  Pediatrics       Date:  2005-12       Impact factor: 7.124

3.  Examination of the time between first evaluation and first autism spectrum diagnosis in a population-based sample.

Authors:  Lisa D Wiggins; Jon Baio; Catherine Rice
Journal:  J Dev Behav Pediatr       Date:  2006-04       Impact factor: 2.225

4.  Sex differences in toddlers with autism spectrum disorders.

Authors:  Alice S Carter; David O Black; Sonia Tewani; Christine E Connolly; Mary Beth Kadlec; Helen Tager-Flusberg
Journal:  J Autism Dev Disord       Date:  2007-01-10

5.  Prevalence of autism spectrum disorders--autism and developmental disabilities monitoring network, 14 sites, United States, 2002.

Authors: 
Journal:  MMWR Surveill Summ       Date:  2007-02-09

6.  Race differences in the age at diagnosis among medicaid-eligible children with autism.

Authors:  David S Mandell; John Listerud; Susan E Levy; Jennifer A Pinto-Martin
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2002-12       Impact factor: 8.829

7.  Regression and word loss in autistic spectrum disorders.

Authors:  Catherine Lord; Cory Shulman; Pamela DiLavore
Journal:  J Child Psychol Psychiatry       Date:  2004-07       Impact factor: 8.982

Review 8.  Developmental regression in autism spectrum disorders.

Authors:  Sally J Rogers
Journal:  Ment Retard Dev Disabil Res Rev       Date:  2004

9.  Prevalence of autism in a US metropolitan area.

Authors:  Marshalyn Yeargin-Allsopp; Catherine Rice; Tanya Karapurkar; Nancy Doernberg; Coleen Boyle; Catherine Murphy
Journal:  JAMA       Date:  2003-01-01       Impact factor: 56.272

Review 10.  Survival analysis part II: multivariate data analysis--an introduction to concepts and methods.

Authors:  M J Bradburn; T G Clark; S B Love; D G Altman
Journal:  Br J Cancer       Date:  2003-08-04       Impact factor: 7.640

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  158 in total

1.  Web-based training in early autism screening: results from a pilot study.

Authors:  Kenneth A Kobak; Wendy L Stone; Opal Y Ousley; Amy Swanson
Journal:  Telemed J E Health       Date:  2011-10       Impact factor: 3.536

2.  Imitation assessment and its utility to the diagnosis of autism: evidence from consecutive clinical preschool referrals for suspected autism.

Authors:  Marleen Vanvuchelen; Herbert Roeyers; Willy De Weerdt
Journal:  J Autism Dev Disord       Date:  2011-04

3.  Have secular changes in perinatal risk factors contributed to the recent autism prevalence increase? Development and application of a mathematical assessment model.

Authors:  Laura A Schieve; Catherine Rice; Owen Devine; Matthew J Maenner; Li-Ching Lee; Robert Fitzgerald; Martha S Wingate; Diana Schendel; Sydney Pettygrove; Kim van Naarden Braun; Maureen Durkin
Journal:  Ann Epidemiol       Date:  2011-10-13       Impact factor: 3.797

4.  Reducing age of autism diagnosis: developmental social neuroscience meets public health challenge.

Authors:  Ami Klin; Cheryl Klaiman; Warren Jones
Journal:  Rev Neurol       Date:  2015-02-25       Impact factor: 0.870

5.  Age of diagnosis for autism: individual and community factors across 10 birth cohorts.

Authors:  Christine Fountain; Marissa D King; Peter S Bearman
Journal:  J Epidemiol Community Health       Date:  2010-10-25       Impact factor: 3.710

6.  Delayed Diagnosis and Treatment Among Children with Autism Who Experience Adversity.

Authors:  Kristin L Berg; Kruti Acharya; Cheng-Shi Shiu; Michael E Msall
Journal:  J Autism Dev Disord       Date:  2018-01

7.  Promoting peer acceptance of females with higher-functioning autism in a mainstream education setting: a replication and extension of the effects of an autism anti-stigma program.

Authors:  Natalia J Ranson; Mitchell K Byrne
Journal:  J Autism Dev Disord       Date:  2014-11

8.  Sociodemographic Barriers to Early Detection of Autism: Screening and Evaluation Using the M-CHAT, M-CHAT-R, and Follow-Up.

Authors:  Meena K Khowaja; Ann P Hazzard; Diana L Robins
Journal:  J Autism Dev Disord       Date:  2015-06

9.  Aberrant Behaviors and Co-occurring Conditions as Predictors of Psychotropic Polypharmacy among Children with Autism Spectrum Disorders.

Authors:  Sarah L Logan; Laura Carpenter; R Scott Leslie; Elizabeth Garrett-Mayer; Kelly J Hunt; Jane Charles; Joyce S Nicholas
Journal:  J Child Adolesc Psychopharmacol       Date:  2015-04-28       Impact factor: 2.576

10.  Frequency and pattern of documented diagnostic features and the age of autism identification.

Authors:  Matthew J Maenner; Laura A Schieve; Catherine E Rice; Christopher Cunniff; Ellen Giarelli; Russell S Kirby; Li-Ching Lee; Joyce S Nicholas; Martha S Wingate; Maureen S Durkin
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2013-04       Impact factor: 8.829

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