Autism spectrum disorder reporting in lower socioeconomic neighborhoods / Aisha S. DICKERSON in Autism, 21-4 (May 2017)  

Public ISBD [article]  inAutism > 21-4 (May 2017) . - p.470-480 Titre : Autism spectrum disorder reporting in lower socioeconomic neighborhoods Type de document : Texte imprimé et/ou numérique Auteurs : Aisha S. DICKERSON, Auteur ; Mohammad H RAHBAR, Auteur ; Deborah A PEARSON, Auteur ; Russell S KIRBY, Auteur ; Amanda V. BAKIAN, Auteur ; Deborah A. BILDER, Auteur ; Rebecca A HARRINGTON, Auteur ; Sydney PETTYGROVE, Auteur ; Walter ZAHORODNY, Auteur ; III LEMUEL A MOYÉ, Auteur ; Maureen DURKIN, Auteur ; Martha Slay WINGATE, Auteur Article en page(s) : p.470-480 Langues : Anglais (eng) Mots-clés : autism spectrum disorders  diagnosis  disparities  prevalence  school-age children Index. décimale : PER Périodiques Résumé : Utilizing surveillance data from five sites participating in the Autism and Developmental Disabilities Monitoring Network, we investigated contributions of surveillance subject and census tract population sociodemographic characteristics on variation in autism spectrum disorder ascertainment and prevalence estimates from 2000 to 2008 using ordinal hierarchical models for 2489 tracts. Multivariable analyses showed a significant increase in ascertainment of autism spectrum disorder cases through both school and health sources, the optimal ascertainment scenario, for cases with college-educated mothers (adjusted odds ratio?=?1.06, 95% confidence interval?=?1.02–1.09). Results from our examination of sociodemographic factors of tract populations from which cases were drawn also showed that after controlling for other covariates, statistical significance remained for associations between optimal ascertainment and percentage of Hispanic residents (adjusted odds ratio?=?0.93, 95% confidence interval?=?0.88–0.99) and percentage of residents with at least a bachelor’s degree (adjusted odds ratio?=?1.06, 95% confidence interval?=?1.01–1.11). We identified sociodemographic factors associated with autism spectrum disorder prevalence estimates including race, ethnicity, education, and income. Determining which specific factors influence disparities is complicated; however, it appears that even in the presence of education, racial and ethnic disparities are still apparent. These results suggest disparities in access to autism spectrum disorder assessments and special education for autism spectrum disorder among ethnic groups may impact subsequent surveillance. En ligne : http://dx.doi.org/10.1177/1362361316650091 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=305 [article] Autism spectrum disorder reporting in lower socioeconomic neighborhoods [Texte imprimé et/ou numérique] / Aisha S. DICKERSON, Auteur ; Mohammad H RAHBAR, Auteur ; Deborah A PEARSON, Auteur ; Russell S KIRBY, Auteur ; Amanda V. BAKIAN, Auteur ; Deborah A. BILDER, Auteur ; Rebecca A HARRINGTON, Auteur ; Sydney PETTYGROVE, Auteur ; Walter ZAHORODNY, Auteur ; III LEMUEL A MOYÉ, Auteur ; Maureen DURKIN, Auteur ; Martha Slay WINGATE, Auteur . - p.470-480. Langues : Anglais (eng) in Autism > 21-4 (May 2017) . - p.470-480 Mots-clés : autism spectrum disorders  diagnosis  disparities  prevalence  school-age children Index. décimale : PER Périodiques Résumé : Utilizing surveillance data from five sites participating in the Autism and Developmental Disabilities Monitoring Network, we investigated contributions of surveillance subject and census tract population sociodemographic characteristics on variation in autism spectrum disorder ascertainment and prevalence estimates from 2000 to 2008 using ordinal hierarchical models for 2489 tracts. Multivariable analyses showed a significant increase in ascertainment of autism spectrum disorder cases through both school and health sources, the optimal ascertainment scenario, for cases with college-educated mothers (adjusted odds ratio?=?1.06, 95% confidence interval?=?1.02–1.09). Results from our examination of sociodemographic factors of tract populations from which cases were drawn also showed that after controlling for other covariates, statistical significance remained for associations between optimal ascertainment and percentage of Hispanic residents (adjusted odds ratio?=?0.93, 95% confidence interval?=?0.88–0.99) and percentage of residents with at least a bachelor’s degree (adjusted odds ratio?=?1.06, 95% confidence interval?=?1.01–1.11). We identified sociodemographic factors associated with autism spectrum disorder prevalence estimates including race, ethnicity, education, and income. Determining which specific factors influence disparities is complicated; however, it appears that even in the presence of education, racial and ethnic disparities are still apparent. These results suggest disparities in access to autism spectrum disorder assessments and special education for autism spectrum disorder among ethnic groups may impact subsequent surveillance. En ligne : http://dx.doi.org/10.1177/1362361316650091 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=305

California Autism Prevalence Trends from 1931 to 2014 and Comparison to National ASD Data from IDEA and ADDM / C. NEVISON in Journal of Autism and Developmental Disorders, 48-12 (December 2018)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 48-12 (December 2018) . - p.4103-4117 Titre : California Autism Prevalence Trends from 1931 to 2014 and Comparison to National ASD Data from IDEA and ADDM Type de document : Texte imprimé et/ou numérique Auteurs : C. NEVISON, Auteur ; Mark BLAXILL, Auteur ; Walter ZAHORODNY, Auteur Article en page(s) : p.4103-4117 Langues : Anglais (eng) Mots-clés : Addm  ASD prevalence  Autism spectrum disorder  Autistic disorder  Cdds  Idea  Time trends Index. décimale : PER Périodiques Résumé : Time trends in U.S. autism prevalence from three ongoing datasets [Individuals with Disabilities Education Act, Autism and Developmental Disabilities Monitoring Network, and California Department of Developmental Services (CDDS)] are calculated using two different methods: (1) constant-age tracking of 8 year-olds and (2) age-resolved snapshots. The data are consistent across methods in showing a strong upward trend over time. The prevalence of autism in the CDDS dataset, the longest of the three data records, increased from 0.001% in the cohort born in 1931 to 1.2% among 5 year-olds born in 2012. This increase began around ~ 1940 at a rate that has gradually accelerated over time, including notable change points around birth years 1980, 1990 and, most recently, 2007. En ligne : http://dx.doi.org/10.1007/s10803-018-3670-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=371 [article] California Autism Prevalence Trends from 1931 to 2014 and Comparison to National ASD Data from IDEA and ADDM [Texte imprimé et/ou numérique] / C. NEVISON, Auteur ; Mark BLAXILL, Auteur ; Walter ZAHORODNY, Auteur . - p.4103-4117. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 48-12 (December 2018) . - p.4103-4117 Mots-clés : Addm  ASD prevalence  Autism spectrum disorder  Autistic disorder  Cdds  Idea  Time trends Index. décimale : PER Périodiques Résumé : Time trends in U.S. autism prevalence from three ongoing datasets [Individuals with Disabilities Education Act, Autism and Developmental Disabilities Monitoring Network, and California Department of Developmental Services (CDDS)] are calculated using two different methods: (1) constant-age tracking of 8 year-olds and (2) age-resolved snapshots. The data are consistent across methods in showing a strong upward trend over time. The prevalence of autism in the CDDS dataset, the longest of the three data records, increased from 0.001% in the cohort born in 1931 to 1.2% among 5 year-olds born in 2012. This increase began around ~ 1940 at a rate that has gradually accelerated over time, including notable change points around birth years 1980, 1990 and, most recently, 2007. En ligne : http://dx.doi.org/10.1007/s10803-018-3670-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=371

Correction to: Defining in Detail and Evaluating Reliability of DSM-5 Criteria for Autism Spectrum Disorder (ASD) Among Children / C. E. RICE in Journal of Autism and Developmental Disorders, 52-12 (December 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-12 (December 2022) . - p.5321 Titre : Correction to: Defining in Detail and Evaluating Reliability of DSM-5 Criteria for Autism Spectrum Disorder (ASD) Among Children Type de document : Texte imprimé et/ou numérique Auteurs : C. E. RICE, Auteur ; L. A. CARPENTER, Auteur ; M. J. MORRIER, Auteur ; C. LORD, Auteur ; M. DIRIENZO, Auteur ; A. BOAN, Auteur ; C. SKOWYRA, Auteur ; A. FUSCO, Auteur ; J. BAIO, Auteur ; A. ESLER, Auteur ; Walter ZAHORODNY, Auteur ; N. HOBSON, Auteur ; A. MARS, Auteur ; A. THURM, Auteur ; S. BISHOP, Auteur ; Lisa D. WIGGINS, Auteur Année de publication : 2022 Article en page(s) : p.5321 Langues : Anglais (eng) Index. décimale : PER Périodiques En ligne : http://dx.doi.org/10.1007/s10803-022-05452-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489 [article] Correction to: Defining in Detail and Evaluating Reliability of DSM-5 Criteria for Autism Spectrum Disorder (ASD) Among Children [Texte imprimé et/ou numérique] / C. E. RICE, Auteur ; L. A. CARPENTER, Auteur ; M. J. MORRIER, Auteur ; C. LORD, Auteur ; M. DIRIENZO, Auteur ; A. BOAN, Auteur ; C. SKOWYRA, Auteur ; A. FUSCO, Auteur ; J. BAIO, Auteur ; A. ESLER, Auteur ; Walter ZAHORODNY, Auteur ; N. HOBSON, Auteur ; A. MARS, Auteur ; A. THURM, Auteur ; S. BISHOP, Auteur ; Lisa D. WIGGINS, Auteur . - 2022 . - p.5321. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-12 (December 2022) . - p.5321 Index. décimale : PER Périodiques En ligne : http://dx.doi.org/10.1007/s10803-022-05452-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489

Defining in Detail and Evaluating Reliability of DSM-5 Criteria for Autism Spectrum Disorder (ASD) Among Children / C. E. RICE in Journal of Autism and Developmental Disorders, 52-12 (December 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-12 (December 2022) . - p.5308-5320 Titre : Defining in Detail and Evaluating Reliability of DSM-5 Criteria for Autism Spectrum Disorder (ASD) Among Children Type de document : Texte imprimé et/ou numérique Auteurs : C. E. RICE, Auteur ; L. A. CARPENTER, Auteur ; M. J. MORRIER, Auteur ; C. LORD, Auteur ; M. DIRIENZO, Auteur ; A. BOAN, Auteur ; C. SKOWYRA, Auteur ; A. FUSCO, Auteur ; J. BAIO, Auteur ; A. ESLER, Auteur ; Walter ZAHORODNY, Auteur ; N. HOBSON, Auteur ; A. MARS, Auteur ; A. THURM, Auteur ; S. BISHOP, Auteur ; Lisa D. WIGGINS, Auteur Année de publication : 2022 Article en page(s) : p.5308-5320 Langues : Anglais (eng) Mots-clés : Child  Humans  Autism Spectrum Disorder/diagnosis/epidemiology  Diagnostic and Statistical Manual of Mental Disorders  Population Surveillance  Prevalence  Reproducibility of Results  Patient Selection  Autism  Autism spectrum disorder  Classification  Clinician reliability  Dsm-5  Diagnosis  from Western Psychological Services. The findings and conclusions in this report  are those of the authors and do not necessarily represent the views of CDC, NIH,  or Autism Speaks. Index. décimale : PER Périodiques Résumé : This paper describes a process to define a comprehensive list of exemplars for seven core Diagnostic and Statistical Manual (DSM) diagnostic criteria for autism spectrum disorder (ASD), and report on interrater reliability in applying these exemplars to determine ASD case classification. Clinicians completed an iterative process to map specific exemplars from the CDC Autism and Developmental Disabilities Monitoring (ADDM) Network criteria for ASD surveillance, DSM-5 text, and diagnostic assessments to each of the core DSM-5 ASD criteria. Clinicians applied the diagnostic exemplars to child behavioral descriptions in existing evaluation records to establish initial reliability standards and then for blinded clinician review in one site (phase 1) and for two ADDM Network surveillance years (phase 2). Interrater reliability for each of the DSM-5 diagnostic categories and overall ASD classification was high (defined as very good .60-.79 to excellent ⥠.80 Kappa values) across sex, race/ethnicity, and cognitive levels for both phases. Classification of DSM-5 ASD by mapping specific exemplars from evaluation records by a diverse group of clinician raters is feasible and reliable. This framework provides confidence in the consistency of prevalence classifications of ASD and may be further applied to improve consistency of ASD diagnoses in clinical settings. En ligne : http://dx.doi.org/10.1007/s10803-021-05377-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489 [article] Defining in Detail and Evaluating Reliability of DSM-5 Criteria for Autism Spectrum Disorder (ASD) Among Children [Texte imprimé et/ou numérique] / C. E. RICE, Auteur ; L. A. CARPENTER, Auteur ; M. J. MORRIER, Auteur ; C. LORD, Auteur ; M. DIRIENZO, Auteur ; A. BOAN, Auteur ; C. SKOWYRA, Auteur ; A. FUSCO, Auteur ; J. BAIO, Auteur ; A. ESLER, Auteur ; Walter ZAHORODNY, Auteur ; N. HOBSON, Auteur ; A. MARS, Auteur ; A. THURM, Auteur ; S. BISHOP, Auteur ; Lisa D. WIGGINS, Auteur . - 2022 . - p.5308-5320. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-12 (December 2022) . - p.5308-5320 Mots-clés : Child  Humans  Autism Spectrum Disorder/diagnosis/epidemiology  Diagnostic and Statistical Manual of Mental Disorders  Population Surveillance  Prevalence  Reproducibility of Results  Patient Selection  Autism  Autism spectrum disorder  Classification  Clinician reliability  Dsm-5  Diagnosis  from Western Psychological Services. The findings and conclusions in this report  are those of the authors and do not necessarily represent the views of CDC, NIH,  or Autism Speaks. Index. décimale : PER Périodiques Résumé : This paper describes a process to define a comprehensive list of exemplars for seven core Diagnostic and Statistical Manual (DSM) diagnostic criteria for autism spectrum disorder (ASD), and report on interrater reliability in applying these exemplars to determine ASD case classification. Clinicians completed an iterative process to map specific exemplars from the CDC Autism and Developmental Disabilities Monitoring (ADDM) Network criteria for ASD surveillance, DSM-5 text, and diagnostic assessments to each of the core DSM-5 ASD criteria. Clinicians applied the diagnostic exemplars to child behavioral descriptions in existing evaluation records to establish initial reliability standards and then for blinded clinician review in one site (phase 1) and for two ADDM Network surveillance years (phase 2). Interrater reliability for each of the DSM-5 diagnostic categories and overall ASD classification was high (defined as very good .60-.79 to excellent ⥠.80 Kappa values) across sex, race/ethnicity, and cognitive levels for both phases. Classification of DSM-5 ASD by mapping specific exemplars from evaluation records by a diverse group of clinician raters is feasible and reliable. This framework provides confidence in the consistency of prevalence classifications of ASD and may be further applied to improve consistency of ASD diagnoses in clinical settings. En ligne : http://dx.doi.org/10.1007/s10803-021-05377-y Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=489

Disparities in Documented Diagnoses of Autism Spectrum Disorder Based on Demographic, Individual, and Service Factors / Lisa D. WIGGINS in Autism Research, 13-3 (March 2020)  

Public ISBD [article]  inAutism Research > 13-3 (March 2020) . - p.464-473 Titre : Disparities in Documented Diagnoses of Autism Spectrum Disorder Based on Demographic, Individual, and Service Factors Type de document : Texte imprimé et/ou numérique Auteurs : Lisa D. WIGGINS, Auteur ; Maureen DURKIN, Auteur ; Amy ESLER, Auteur ; Li-Ching LEE, Auteur ; Walter ZAHORODNY, Auteur ; Catherine RICE, Auteur ; Marshalyn YEARGIN-ALLSOPP, Auteur ; Nicole F. DOWLING, Auteur ; Jennifer HALL-LANDE, Auteur ; Michael J. MORRIER, Auteur ; Deborah CHRISTENSEN, Auteur ; Josephine SHENOUDA, Auteur ; Jon BAIO, Auteur Article en page(s) : p.464-473 Langues : Anglais (eng) Mots-clés : autism  diagnosis  disparities  surveillance Index. décimale : PER Périodiques Résumé : The objectives of our study were to (a) report how many children met an autism spectrum disorder (ASD) surveillance definition but had no clinical diagnosis of ASD in health or education records and (b) evaluate differences in demographic, individual, and service factors between children with and without a documented ASD diagnosis. ASD surveillance was conducted in selected areas of Arizona, Arkansas, Colorado, Georgia, Maryland, Minnesota, Missouri, New Jersey, North Carolina, Tennessee, and Wisconsin. Children were defined as having ASD if sufficient social and behavioral deficits and/or an ASD diagnosis were noted in health and/or education records. Among 4,498 children, 1,135 (25%) had ASD indicators without having an ASD diagnosis. Of those 1,135 children without a documented ASD diagnosis, 628 (55%) were not known to receive ASD services in public school. Factors associated with not having a clinical diagnosis of ASD were non-White race, no intellectual disability, older age at first developmental concern, older age at first developmental evaluation, special education eligibility other than ASD, and need for fewer supports. These results highlight the importance of reducing disparities in the diagnosis of children with ASD characteristics so that appropriate interventions can be promoted across communities. Autism Res 2020, 13: 464-473. (c) 2019 International Society for AutismResearch,Wiley Periodicals, Inc. LAY SUMMARY: Children who did not have a clinical diagnosis of autism spectrum disorder (ASD) documented in health or education records were more likely to be non-White and have fewer developmental problems than children with a clinical diagnosis of ASD. They were brought to the attention of healthcare providers at older ages and needed fewer supports than children with a clinical diagnosis of ASD. All children with ASD symptoms who meet diagnostic criteria should be given a clinical diagnosis so they can receive treatment specific to their needs. En ligne : http://dx.doi.org/10.1002/aur.2255 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=421 [article] Disparities in Documented Diagnoses of Autism Spectrum Disorder Based on Demographic, Individual, and Service Factors [Texte imprimé et/ou numérique] / Lisa D. WIGGINS, Auteur ; Maureen DURKIN, Auteur ; Amy ESLER, Auteur ; Li-Ching LEE, Auteur ; Walter ZAHORODNY, Auteur ; Catherine RICE, Auteur ; Marshalyn YEARGIN-ALLSOPP, Auteur ; Nicole F. DOWLING, Auteur ; Jennifer HALL-LANDE, Auteur ; Michael J. MORRIER, Auteur ; Deborah CHRISTENSEN, Auteur ; Josephine SHENOUDA, Auteur ; Jon BAIO, Auteur . - p.464-473. Langues : Anglais (eng) in Autism Research > 13-3 (March 2020) . - p.464-473 Mots-clés : autism  diagnosis  disparities  surveillance Index. décimale : PER Périodiques Résumé : The objectives of our study were to (a) report how many children met an autism spectrum disorder (ASD) surveillance definition but had no clinical diagnosis of ASD in health or education records and (b) evaluate differences in demographic, individual, and service factors between children with and without a documented ASD diagnosis. ASD surveillance was conducted in selected areas of Arizona, Arkansas, Colorado, Georgia, Maryland, Minnesota, Missouri, New Jersey, North Carolina, Tennessee, and Wisconsin. Children were defined as having ASD if sufficient social and behavioral deficits and/or an ASD diagnosis were noted in health and/or education records. Among 4,498 children, 1,135 (25%) had ASD indicators without having an ASD diagnosis. Of those 1,135 children without a documented ASD diagnosis, 628 (55%) were not known to receive ASD services in public school. Factors associated with not having a clinical diagnosis of ASD were non-White race, no intellectual disability, older age at first developmental concern, older age at first developmental evaluation, special education eligibility other than ASD, and need for fewer supports. These results highlight the importance of reducing disparities in the diagnosis of children with ASD characteristics so that appropriate interventions can be promoted across communities. Autism Res 2020, 13: 464-473. (c) 2019 International Society for AutismResearch,Wiley Periodicals, Inc. LAY SUMMARY: Children who did not have a clinical diagnosis of autism spectrum disorder (ASD) documented in health or education records were more likely to be non-White and have fewer developmental problems than children with a clinical diagnosis of ASD. They were brought to the attention of healthcare providers at older ages and needed fewer supports than children with a clinical diagnosis of ASD. All children with ASD symptoms who meet diagnostic criteria should be given a clinical diagnosis so they can receive treatment specific to their needs. En ligne : http://dx.doi.org/10.1002/aur.2255 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=421

Increasing autism prevalence in metropolitan New Jersey / Walter ZAHORODNY in Autism, 18-2 (February 2014)  

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Prevalence of autism spectrum disorder in a large, diverse metropolitan area: Variation by sociodemographic factors / J. SHENOUDA in Autism Research, 15-1 (January 2022)  

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Race/Ethnicity-Resolved Time Trends in United States ASD Prevalence Estimates from IDEA and ADDM / C. NEVISON in Journal of Autism and Developmental Disorders, 49-12 (December 2019)  

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The association of autism diagnosis with socioeconomic status / Pauline THOMAS in Autism, 16-2 (March 2012)  

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The validity and usefulness of public health surveillance of autism spectrum disorder / Maureen S. DURKIN in Autism, 19-1 (January 2015)  

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