Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2014
Jon Baio,Lisa D. Wiggins,Deborah Christensen,Matthew J. Maenner,Julie L. Daniels,Zachary Warren,Margaret Kurzius-Spencer,Walter Zahorodny,Cordelia Robinson Rosenberg,Tiffany White,Maureen S. Durkin,Pamela Imm,Loizos Nikolaou,Loizos Nikolaou,Marshalyn Yeargin-Allsopp,Li-Ching Lee,Rebecca A. Harrington,Maya Lopez,Robert T. Fitzgerald,P Amy Hewitt,Sydney Pettygrove,John N. Constantino,Alison Vehorn,Josephine Shenouda,Jennifer Hall-Lande,Kim Van Naarden Braun,Nicole F. Dowling +26 more
- Vol. 67, Iss: 6, pp 1-23
Reads0
Chats0
TLDR
This report provides updated ASD prevalence estimates for children aged 8 years during the 2014 surveillance year, on the basis of DSM-IV-TR criteria, and describes characteristics of the population of children with ASD.Abstract:
Problem/condition Autism spectrum disorder (ASD). Period covered 2014. Description of system The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance system that provides estimates of the prevalence of autism spectrum disorder (ASD) among children aged 8 years whose parents or guardians reside within 11 ADDM sites in the United States (Arizona, Arkansas, Colorado, Georgia, Maryland, Minnesota, Missouri, New Jersey, North Carolina, Tennessee, and Wisconsin). ADDM surveillance is conducted in two phases. The first phase involves review and abstraction of comprehensive evaluations that were completed by professional service providers in the community. Staff completing record review and abstraction receive extensive training and supervision and are evaluated according to strict reliability standards to certify effective initial training, identify ongoing training needs, and ensure adherence to the prescribed methodology. Record review and abstraction occurs in a variety of data sources ranging from general pediatric health clinics to specialized programs serving children with developmental disabilities. In addition, most of the ADDM sites also review records for children who have received special education services in public schools. In the second phase of the study, all abstracted information is reviewed systematically by experienced clinicians to determine ASD case status. A child is considered to meet the surveillance case definition for ASD if he or she displays behaviors, as described on one or more comprehensive evaluations completed by community-based professional providers, consistent with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) diagnostic criteria for autistic disorder; pervasive developmental disorder-not otherwise specified (PDD-NOS, including atypical autism); or Asperger disorder. This report provides updated ASD prevalence estimates for children aged 8 years during the 2014 surveillance year, on the basis of DSM-IV-TR criteria, and describes characteristics of the population of children with ASD. In 2013, the American Psychiatric Association published the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), which made considerable changes to ASD diagnostic criteria. The change in ASD diagnostic criteria might influence ADDM ASD prevalence estimates; therefore, most (85%) of the records used to determine prevalence estimates based on DSM-IV-TR criteria underwent additional review under a newly operationalized surveillance case definition for ASD consistent with the DSM-5 diagnostic criteria. Children meeting this new surveillance case definition could qualify on the basis of one or both of the following criteria, as documented in abstracted comprehensive evaluations: 1) behaviors consistent with the DSM-5 diagnostic features; and/or 2) an ASD diagnosis, whether based on DSM-IV-TR or DSM-5 diagnostic criteria. Stratified comparisons of the number of children meeting either of these two case definitions also are reported. Results For 2014, the overall prevalence of ASD among the 11 ADDM sites was 16.8 per 1,000 (one in 59) children aged 8 years. Overall ASD prevalence estimates varied among sites, from 13.1-29.3 per 1,000 children aged 8 years. ASD prevalence estimates also varied by sex and race/ethnicity. Males were four times more likely than females to be identified with ASD. Prevalence estimates were higher for non-Hispanic white (henceforth, white) children compared with non-Hispanic black (henceforth, black) children, and both groups were more likely to be identified with ASD compared with Hispanic children. Among the nine sites with sufficient data on intellectual ability, 31% of children with ASD were classified in the range of intellectual disability (intelligence quotient [IQ] 85). The distribution of intellectual ability varied by sex and race/ethnicity. Although mention of developmental concerns by age 36 months was documented for 85% of children with ASD, only 42% had a comprehensive evaluation on record by age 36 months. The median age of earliest known ASD diagnosis was 52 months and did not differ significantly by sex or race/ethnicity. For the targeted comparison of DSM-IV-TR and DSM-5 results, the number and characteristics of children meeting the newly operationalized DSM-5 case definition for ASD were similar to those meeting the DSM-IV-TR case definition, with DSM-IV-TR case counts exceeding DSM-5 counts by less than 5% and approximately 86% overlap between the two case definitions (kappa = 0.85). Interpretation Findings from the ADDM Network, on the basis of 2014 data reported from 11 sites, provide updated population-based estimates of the prevalence of ASD among children aged 8 years in multiple communities in the United States. The overall ASD prevalence estimate of 16.8 per 1,000 children aged 8 years in 2014 is higher than previously reported estimates from the ADDM Network. Because the ADDM sites do not provide a representative sample of the entire United States, the combined prevalence estimates presented in this report cannot be generalized to all children aged 8 years in the United States. Consistent with reports from previous ADDM surveillance years, findings from 2014 were marked by variation in ASD prevalence when stratified by geographic area, sex, and level of intellectual ability. Differences in prevalence estimates between black and white children have diminished in most sites, but remained notable for Hispanic children. For 2014, results from application of the DSM-IV-TR and DSM-5 case definitions were similar, overall and when stratified by sex, race/ethnicity, DSM-IV-TR diagnostic subtype, or level of intellectual ability. Public health action Beginning with surveillance year 2016, the DSM-5 case definition will serve as the basis for ADDM estimates of ASD prevalence in future surveillance reports. Although the DSM-IV-TR case definition will eventually be phased out, it will be applied in a limited geographic area to offer additional data for comparison. Future analyses will examine trends in the continued use of DSM-IV-TR diagnoses, such as autistic disorder, PDD-NOS, and Asperger disorder in health and education records, documentation of symptoms consistent with DSM-5 terminology, and how these trends might influence estimates of ASD prevalence over time. The latest findings from the ADDM Network provide evidence that the prevalence of ASD is higher than previously reported estimates and continues to vary among certain racial/ethnic groups and communities. With prevalence of ASD ranging from 13.1 to 29.3 per 1,000 children aged 8 years in different communities throughout the United States, the need for behavioral, educational, residential, and occupational services remains high, as does the need for increased research on both genetic and nongenetic risk factors for ASD.read more
Citations
More filters
Journal ArticleDOI
Eye Tracking Reveals Abnormal Visual Preference for Geometric Images as an Early Biomarker of an Autism Spectrum Disorder Subtype Associated With Increased Symptom Severity
Karen Pierce,Steven Marinero,Roxana Hazin,Benjamin S. McKenna,Cynthia Carter Barnes,Ajith Malige +5 more
TL;DR: Enhanced visual preference for geometric repetition may be an early developmental biomarker of an ASD subtype with more severe symptoms.
Journal ArticleDOI
Project AIM: Autism intervention meta-analysis for studies of young children
Micheal Sandbank,Kristen Bottema-Beutel,Shannon Crowley,Margaret Cassidy,Kacie Dunham,Jacob I. Feldman,Jenna E Crank,Susanne A. Albarran,Sweeya Raj,Prachy Mahbub,Tiffany G. Woynaroski +10 more
TL;DR: This comprehensive systematic review and meta-analysis of group design studies of nonpharmacological early interventions designed for young children with autism spectrum disorder (ASD) found that when study quality indicators were not taken into account, significant positive effects were found for behavioral, developmental, and NDBI intervention types.
Journal ArticleDOI
EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach.
William J. Bosl,William J. Bosl,William J. Bosl,Helen Tager-Flusberg,Charles A. Nelson,Charles A. Nelson +5 more
TL;DR: In this paper, EEG measurements were collected from 99 infants with an older sibling diagnosed with ASD, and 89 low risk controls, beginning at 3 months of age and continuing until 36 months.
Journal ArticleDOI
Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 4 Years - Early Autism and Developmental Disabilities Monitoring Network, Seven Sites, United States, 2010, 2012, and 2014
Deborah Christensen,Matthew J. Maenner,Deborah A. Bilder,John N. Constantino,Julie L. Daniels,Maureen S. Durkin,Robert T. Fitzgerald,Margaret Kurzius-Spencer,Sydney Pettygrove,Cordelia Robinson,Josephine Shenouda,Tiffany White,Walter Zahorodny,Karen Pazol,Patricia M. Dietz +14 more
TL;DR: Estimates of overall ASD prevalence and prevalence by sex and race/ethnicity; characteristics of children aged 4 years with ASD, including age at first developmental evaluation, age at ASD diagnosis, and cognitive function; and trends in autism prevalence and characteristics among Early ADDM sites with data for all 3 surveillance years are provided.
Journal ArticleDOI
Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy.
TL;DR: It is argued that embodied AI is a promising approach across the field of mental health; however, further research is needed to address the broader ethical and societal concerns of these technologies to negotiate best research and medical practices in innovative mental health care.
References
More filters
Journal ArticleDOI
Diagnostic and Statistical Manual of Mental Disorders
Vijay A. Mittal,Elaine F. Walker +1 more
TL;DR: An issue concerning the criteria for tic disorders is highlighted, and how this might affect classification of dyskinesias in psychotic spectrum disorders.
Journal Article
[Affective disorders in the fourth edition of the classification of mental disorders prepared by the American Psychiatric Association -- diagnostic and statistical manual of mental disorders].
Journal ArticleDOI
Global Prevalence of Autism and Other Pervasive Developmental Disorders
Mayada Elsabbagh,Gauri Divan,Yun Joo Koh,Young Shin Kim,Shuaib Kauchali,Shuaib Kauchali,Carlos Marcin,Cecilia Montiel-Nava,Vikram Patel,Cristiane Silvestre de Paula,Chongying Wang,M. T. Yasamy,Eric Fombonne +12 more
TL;DR: In this paper, a systematic review of epidemiological surveys of autistic disorder and pervasive developmental disorders (PDDs) worldwide was provided, where the authors considered the possible impact of geographic, cultural/ethnic/ethnic, and socioeconomic factors on prevalence estimates and on clinical presentation of PDD.
Journal ArticleDOI
Identification and Evaluation of Children With Autism Spectrum Disorders
TL;DR: This report addresses background information, including definition, history, epidemiology, diagnostic criteria, early signs, neuropathologic aspects, and etiologic possibilities in autism spectrum disorders, and provides an algorithm to help the pediatrician develop a strategy for early identification of children with autism Spectrum disorders.
Prevalence of autism spectrum disorders - Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2008
TL;DR: This report provides updated ASD prevalence estimates from the 2008 surveillance year, representing 14 ADDM areas in the United States and characteristics of the population of children with ASDs are described, as well as detailed comparisons of the 2008 findings with those for the 2002 and 2006 surveillance years.
Related Papers (5)
Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016
Matthew J. Maenner,Kelly A Shaw,Jon Baio,Anita Washington,Mary E. Patrick,Monica DiRienzo,Deborah Christensen,Lisa D. Wiggins,Sydney Pettygrove,Jennifer Andrews,Maya Lopez,Allison Hudson,Thaer Baroud,Yvette D Schwenk,Tiffany White,Cordelia Robinson Rosenberg,Li Ching Lee,Rebecca A. Harrington,Margaret Huston,Amy Hewitt,Amy Esler,Jennifer Hall-Lande,Jenny N. Poynter,Libby Hallas-Muchow,John N. Constantino,Robert T. Fitzgerald,Walter Zahorodny,Josephine Shenouda,Julie L. Daniels,Zachary Warren,Alison Vehorn,Angelica Salinas,Maureen S. Durkin,Patricia M. Dietz +33 more