Influence of family demographic factors on social communication questionnaire scores / A. ROSENBERG STEVEN in Autism Research, 11-5 (May 2018)  

Public ISBD [article]  inAutism Research > 11-5 (May 2018) . - p.695-706 Titre : Influence of family demographic factors on social communication questionnaire scores Type de document : Texte imprimé et/ou numérique Auteurs : A. ROSENBERG STEVEN, Auteur ; J. MOODY ERIC, Auteur ; Li-Ching LEE, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; C. WINDHAM GAYLE, Auteur ; Lisa D. WIGGINS, Auteur ; Laura A. SCHIEVE, Auteur ; M. LEDBETTER CAROLINE, Auteur ; E. LEVY SUSAN, Auteur ; Lisa BLASKEY, Auteur ; Lisa YOUNG, Auteur ; Pilar BERNAL, Auteur ; R. ROSENBERG CORDELIA, Auteur ; M. Daniele FALLIN, Auteur Article en page(s) : p.695-706 Langues : Anglais (eng) Mots-clés : ASD  SCQ  screening  demographic factors Index. décimale : PER Périodiques Résumé : This study examined the effect of demographic factors on Social Communication Questionnaire (SCQ) scores in children aged 30?68 months. Diagnoses of ASD were made after a gold standard evaluation that included the Autism Diagnostic Observation Schedule (ADOS), and the Autism Diagnostic Interview Revised (ADI?R). The relationship of demographic variables to SCQ scores was compared in two source populations: (a) children recruited from clinical and educational sources serving children who have ASD or other developmental disorders (CE) and (b) children recruited from birth certificates to represent the general population (BC). The impact of the demographic variables?child sex, child age, maternal language, maternal ethnicity, maternal education, maternal race, and household income?on total SCQ score were studied to examine their impact on the SCQ's performance. Demographic factors predicting the SCQ total score were used to generate ROCs. Factors that had a significant influence on SCQ performance were identified by examining the area under the ROCs. Optimal SCQ cut?points were generated for significant factors using the Youden's Index. Overall male sex, lower household income, lower maternal education and Black race predicted higher SCQ scores. In this sample, the most common optimum value for the SCQ cut?point across the different sociodemographic groups was 11. Autism Res 2018, 11: 695?706. ? 2018 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary Screeners are used to help identify children who are more likely to have ASD than their peers. Ideally screeners should be accurate for different groups of children and families. This study examined how well the Social Communication Questionnaire (SCQ) predicts ASD. We found that male sex, lower household income, lower maternal education and Black race were associated with higher SCQ scores. In this study an SCQ cut?point of 11 worked best across the different sociodemographic groups in our sample. En ligne : https://doi.org/10.1002/aur.1935 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=363 [article] Influence of family demographic factors on social communication questionnaire scores [Texte imprimé et/ou numérique] / A. ROSENBERG STEVEN, Auteur ; J. MOODY ERIC, Auteur ; Li-Ching LEE, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; C. WINDHAM GAYLE, Auteur ; Lisa D. WIGGINS, Auteur ; Laura A. SCHIEVE, Auteur ; M. LEDBETTER CAROLINE, Auteur ; E. LEVY SUSAN, Auteur ; Lisa BLASKEY, Auteur ; Lisa YOUNG, Auteur ; Pilar BERNAL, Auteur ; R. ROSENBERG CORDELIA, Auteur ; M. Daniele FALLIN, Auteur . - p.695-706. Langues : Anglais (eng) in Autism Research > 11-5 (May 2018) . - p.695-706 Mots-clés : ASD  SCQ  screening  demographic factors Index. décimale : PER Périodiques Résumé : This study examined the effect of demographic factors on Social Communication Questionnaire (SCQ) scores in children aged 30?68 months. Diagnoses of ASD were made after a gold standard evaluation that included the Autism Diagnostic Observation Schedule (ADOS), and the Autism Diagnostic Interview Revised (ADI?R). The relationship of demographic variables to SCQ scores was compared in two source populations: (a) children recruited from clinical and educational sources serving children who have ASD or other developmental disorders (CE) and (b) children recruited from birth certificates to represent the general population (BC). The impact of the demographic variables?child sex, child age, maternal language, maternal ethnicity, maternal education, maternal race, and household income?on total SCQ score were studied to examine their impact on the SCQ's performance. Demographic factors predicting the SCQ total score were used to generate ROCs. Factors that had a significant influence on SCQ performance were identified by examining the area under the ROCs. Optimal SCQ cut?points were generated for significant factors using the Youden's Index. Overall male sex, lower household income, lower maternal education and Black race predicted higher SCQ scores. In this sample, the most common optimum value for the SCQ cut?point across the different sociodemographic groups was 11. Autism Res 2018, 11: 695?706. ? 2018 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary Screeners are used to help identify children who are more likely to have ASD than their peers. Ideally screeners should be accurate for different groups of children and families. This study examined how well the Social Communication Questionnaire (SCQ) predicts ASD. We found that male sex, lower household income, lower maternal education and Black race were associated with higher SCQ scores. In this study an SCQ cut?point of 11 worked best across the different sociodemographic groups in our sample. En ligne : https://doi.org/10.1002/aur.1935 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=363

The Study to Explore Early Development (SEED): A Multisite Epidemiologic Study of Autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) Network / Diana SCHENDEL in Journal of Autism and Developmental Disorders, 42-10 (October 2012)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 42-10 (October 2012) . - p.2121-2140 Titre : The Study to Explore Early Development (SEED): A Multisite Epidemiologic Study of Autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) Network Type de document : Texte imprimé et/ou numérique Auteurs : Diana SCHENDEL, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; Lisa A. CROEN, Auteur ; M. Daniele FALLIN, Auteur ; Phil REED, Auteur ; Laura A. SCHIEVE, Auteur ; Lisa D. WIGGINS, Auteur ; Julie L. DANIELS, Auteur ; Judith K. GRETHER, Auteur ; Susan E. LEVY, Auteur ; Lisa MILLER, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Jennifer A. PINTO-MARTIN, Auteur ; Cordelia ROBINSON, Auteur ; Gayle C. WINDHAM, Auteur ; Aimee A. ALEXANDER, Auteur ; Arthur S. AYLSWORTH, Auteur ; Pilar BERNAL, Auteur ; Joseph D. BONNER, Auteur ; Lisa BLASKEY, Auteur ; Chyrise BRADLEY, Auteur ; Jack COLLINS, Auteur ; Casara J. FERRETTI, Auteur ; Homayoon FARZADEGAN, Auteur ; Ellen GIARELLI, Auteur ; Marques HARVEY, Auteur ; Susan HEPBURN, Auteur ; Matthew HERR, Auteur ; Kristina KAPARICH, Auteur ; Rebecca LANDA, Auteur ; Li-Ching LEE, Auteur ; Brooke LEVENSELLER, Auteur ; Stacey MEYERER, Auteur ; Mohammad Hossein RAHBAR, Auteur ; Andria RATCHFORD, Auteur ; Ann REYNOLDS, Auteur ; Steven ROSENBERG, Auteur ; Julie RUSYNIAK, Auteur ; Stuart K. SHAPIRA, Auteur ; Karen S. SMITH, Auteur ; Margaret SOUDERS, Auteur ; Patrick Aaron THOMPSON, Auteur ; Lisa YOUNG, Auteur ; Marshalyn YEARGIN-ALLSOPP, Auteur Année de publication : 2012 Article en page(s) : p.2121-2140 Langues : Anglais (eng) Mots-clés : Autism  Epidemiology  Study methods  Risk factors  Phenotype Index. décimale : PER Périodiques Résumé : The Study to Explore Early Development (SEED), a multisite investigation addressing knowledge gaps in autism phenotype and etiology, aims to: (1) characterize the autism behavioral phenotype and associated developmental, medical, and behavioral conditions and (2) investigate genetic and environmental risks with emphasis on immunologic, hormonal, gastrointestinal, and sociodemographic characteristics. SEED uses a case–control design with population-based ascertainment of children aged 2–5 years with an autism spectrum disorder (ASD) and children in two control groups—one from the general population and one with non-ASD developmental problems. Data from parent-completed questionnaires, interviews, clinical evaluations, biospecimen sampling, and medical record abstraction focus on the prenatal and early postnatal periods. SEED is a valuable resource for testing hypotheses regarding ASD characteristics and causes. En ligne : http://dx.doi.org/10.1007/s10803-012-1461-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=180 [article] The Study to Explore Early Development (SEED): A Multisite Epidemiologic Study of Autism by the Centers for Autism and Developmental Disabilities Research and Epidemiology (CADDRE) Network [Texte imprimé et/ou numérique] / Diana SCHENDEL, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; Lisa A. CROEN, Auteur ; M. Daniele FALLIN, Auteur ; Phil REED, Auteur ; Laura A. SCHIEVE, Auteur ; Lisa D. WIGGINS, Auteur ; Julie L. DANIELS, Auteur ; Judith K. GRETHER, Auteur ; Susan E. LEVY, Auteur ; Lisa MILLER, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Jennifer A. PINTO-MARTIN, Auteur ; Cordelia ROBINSON, Auteur ; Gayle C. WINDHAM, Auteur ; Aimee A. ALEXANDER, Auteur ; Arthur S. AYLSWORTH, Auteur ; Pilar BERNAL, Auteur ; Joseph D. BONNER, Auteur ; Lisa BLASKEY, Auteur ; Chyrise BRADLEY, Auteur ; Jack COLLINS, Auteur ; Casara J. FERRETTI, Auteur ; Homayoon FARZADEGAN, Auteur ; Ellen GIARELLI, Auteur ; Marques HARVEY, Auteur ; Susan HEPBURN, Auteur ; Matthew HERR, Auteur ; Kristina KAPARICH, Auteur ; Rebecca LANDA, Auteur ; Li-Ching LEE, Auteur ; Brooke LEVENSELLER, Auteur ; Stacey MEYERER, Auteur ; Mohammad Hossein RAHBAR, Auteur ; Andria RATCHFORD, Auteur ; Ann REYNOLDS, Auteur ; Steven ROSENBERG, Auteur ; Julie RUSYNIAK, Auteur ; Stuart K. SHAPIRA, Auteur ; Karen S. SMITH, Auteur ; Margaret SOUDERS, Auteur ; Patrick Aaron THOMPSON, Auteur ; Lisa YOUNG, Auteur ; Marshalyn YEARGIN-ALLSOPP, Auteur . - 2012 . - p.2121-2140. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 42-10 (October 2012) . - p.2121-2140 Mots-clés : Autism  Epidemiology  Study methods  Risk factors  Phenotype Index. décimale : PER Périodiques Résumé : The Study to Explore Early Development (SEED), a multisite investigation addressing knowledge gaps in autism phenotype and etiology, aims to: (1) characterize the autism behavioral phenotype and associated developmental, medical, and behavioral conditions and (2) investigate genetic and environmental risks with emphasis on immunologic, hormonal, gastrointestinal, and sociodemographic characteristics. SEED uses a case–control design with population-based ascertainment of children aged 2–5 years with an autism spectrum disorder (ASD) and children in two control groups—one from the general population and one with non-ASD developmental problems. Data from parent-completed questionnaires, interviews, clinical evaluations, biospecimen sampling, and medical record abstraction focus on the prenatal and early postnatal periods. SEED is a valuable resource for testing hypotheses regarding ASD characteristics and causes. En ligne : http://dx.doi.org/10.1007/s10803-012-1461-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=180

Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development / Lisa D. WIGGINS in Journal of Autism and Developmental Disorders, 45-5 (May 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1271-1280 Titre : Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development Type de document : Texte imprimé et/ou numérique Auteurs : Lisa D. WIGGINS, Auteur ; Ann REYNOLDS, Auteur ; Catherine E. RICE, Auteur ; Eric J. MOODY, Auteur ; Pilar BERNAL, Auteur ; Lisa BLASKEY, Auteur ; Steven A. ROSENBERG, Auteur ; Li-Ching LEE, Auteur ; Susan E. LEVY, Auteur Article en page(s) : p.1271-1280 Langues : Anglais (eng) Mots-clés : ADI-R  ADOS  Autism  Classification  Phenotypes  Study methods Index. décimale : PER Périodiques Résumé : The Study to Explore Early Development (SEED) is a multi-site case–control study designed to explore the relationship between autism spectrum disorder (ASD) phenotypes and etiologies. The goals of this paper are to (1) describe the SEED algorithm that uses the Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedule (ADOS) to classify children with ASD, (2) examine psychometric properties of different ASD classification methods, including the SEED method that incorporates rules for resolving ADI-R and ADOS discordance, and (3) determine whether restricted interests and repetitive behaviors were noted for children who had instrument discordance resolved using ADI-R social and communication scores. Results support the utility of SEED criteria when well-defined groups of children are an important clinical or research outcome. En ligne : http://dx.doi.org/10.1007/s10803-014-2287-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259 [article] Using Standardized Diagnostic Instruments to Classify Children with Autism in the Study to Explore Early Development [Texte imprimé et/ou numérique] / Lisa D. WIGGINS, Auteur ; Ann REYNOLDS, Auteur ; Catherine E. RICE, Auteur ; Eric J. MOODY, Auteur ; Pilar BERNAL, Auteur ; Lisa BLASKEY, Auteur ; Steven A. ROSENBERG, Auteur ; Li-Ching LEE, Auteur ; Susan E. LEVY, Auteur . - p.1271-1280. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-5 (May 2015) . - p.1271-1280 Mots-clés : ADI-R  ADOS  Autism  Classification  Phenotypes  Study methods Index. décimale : PER Périodiques Résumé : The Study to Explore Early Development (SEED) is a multi-site case–control study designed to explore the relationship between autism spectrum disorder (ASD) phenotypes and etiologies. The goals of this paper are to (1) describe the SEED algorithm that uses the Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedule (ADOS) to classify children with ASD, (2) examine psychometric properties of different ASD classification methods, including the SEED method that incorporates rules for resolving ADI-R and ADOS discordance, and (3) determine whether restricted interests and repetitive behaviors were noted for children who had instrument discordance resolved using ADI-R social and communication scores. Results support the utility of SEED criteria when well-defined groups of children are an important clinical or research outcome. En ligne : http://dx.doi.org/10.1007/s10803-014-2287-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=259

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