Autism Spectrum Disorder Symptoms Among Children Enrolled in the Study to Explore Early Development (SEED) / Lisa D. WIGGINS in Journal of Autism and Developmental Disorders, 45-10 (October 2015)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-10 (October 2015) . - p.3183-3194 Titre : Autism Spectrum Disorder Symptoms Among Children Enrolled in the Study to Explore Early Development (SEED) Type de document : Texte imprimé et/ou numérique Auteurs : Lisa D. WIGGINS, Auteur ; Susan E. LEVY, Auteur ; Julie L. DANIELS, Auteur ; Laura A. SCHIEVE, Auteur ; Lisa A. CROEN, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; Lisa BLASKEY, Auteur ; Ellen GIARELLI, Auteur ; Li-Ching LEE, Auteur ; Jennifer PINTO-MARTIN, Auteur ; Ann REYNOLDS, Auteur ; Catherine RICE, Auteur ; Cordelia ROBINSON ROSENBERG, Auteur ; Patrick THOMPSON, Auteur ; Marshalyn YEARGIN-ALLSOPP, Auteur ; Lisa YOUNG, Auteur ; Diana SCHENDEL, Auteur Article en page(s) : p.3183-3194 Langues : Anglais (eng) Mots-clés : Autism  Etiology  Symptoms  Phenotype  Study to Explore Early Development Index. décimale : PER Périodiques Résumé : This study examined the phenotypic profiles of children aged 30–68 months in the Study to Explore Early Development (SEED). Children classified as autism spectrum disorder (ASD), developmental delay (DD) with ASD symptoms, DD without ASD symptoms, and population comparison (POP) differed significantly from each other on cognitive, adaptive, behavioral, and social functioning and the presence of parent-reported conditions. Children with ASD and DD with ASD symptoms had mild to severe ASD risk on several measures compared to children with other DD and POP who had little ASD risk across measures. We conclude that children in SEED have varying degrees of ASD impairment and associated deficits. SEED thus provides a valuable sample to explore ASD phenotypes and inform risk factor analyses. En ligne : http://dx.doi.org/10.1007/s10803-015-2476-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267 [article] Autism Spectrum Disorder Symptoms Among Children Enrolled in the Study to Explore Early Development (SEED) [Texte imprimé et/ou numérique] / Lisa D. WIGGINS, Auteur ; Susan E. LEVY, Auteur ; Julie L. DANIELS, Auteur ; Laura A. SCHIEVE, Auteur ; Lisa A. CROEN, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; Lisa BLASKEY, Auteur ; Ellen GIARELLI, Auteur ; Li-Ching LEE, Auteur ; Jennifer PINTO-MARTIN, Auteur ; Ann REYNOLDS, Auteur ; Catherine RICE, Auteur ; Cordelia ROBINSON ROSENBERG, Auteur ; Patrick THOMPSON, Auteur ; Marshalyn YEARGIN-ALLSOPP, Auteur ; Lisa YOUNG, Auteur ; Diana SCHENDEL, Auteur . - p.3183-3194. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 45-10 (October 2015) . - p.3183-3194 Mots-clés : Autism  Etiology  Symptoms  Phenotype  Study to Explore Early Development Index. décimale : PER Périodiques Résumé : This study examined the phenotypic profiles of children aged 30–68 months in the Study to Explore Early Development (SEED). Children classified as autism spectrum disorder (ASD), developmental delay (DD) with ASD symptoms, DD without ASD symptoms, and population comparison (POP) differed significantly from each other on cognitive, adaptive, behavioral, and social functioning and the presence of parent-reported conditions. Children with ASD and DD with ASD symptoms had mild to severe ASD risk on several measures compared to children with other DD and POP who had little ASD risk across measures. We conclude that children in SEED have varying degrees of ASD impairment and associated deficits. SEED thus provides a valuable sample to explore ASD phenotypes and inform risk factor analyses. En ligne : http://dx.doi.org/10.1007/s10803-015-2476-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=267

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 Broader Autism Phenotype in Mothers is Associated with Increased Discordance Between Maternal-Reported and Clinician-Observed Instruments that Measure Child Autism Spectrum Disorder / Eric RUBENSTEIN in Journal of Autism and Developmental Disorders, 47-10 (October 2017)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 47-10 (October 2017) . - p.3253-3266 Titre : The Broader Autism Phenotype in Mothers is Associated with Increased Discordance Between Maternal-Reported and Clinician-Observed Instruments that Measure Child Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Eric RUBENSTEIN, Auteur ; Rebecca EDMONDSON PRETZEL, Auteur ; Gayle C. WINDHAM, Auteur ; Laura A. SCHIEVE, Auteur ; Lisa D. WIGGINS, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; Andrew F. OLSHAN, Auteur ; Annie G. HOWARD, Auteur ; Brian W. PENCE, Auteur ; Lisa YOUNG, Auteur ; Julie L. DANIELS, Auteur Article en page(s) : p.3253-3266 Langues : Anglais (eng) Mots-clés : Autism Diagnostic Interview-Revised  Autism Diagnostic Observation Schedule  Autism spectrum disorder  Broader autism phenotype  Instrument discordance Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) diagnosis relies on parent-reported and clinician-observed instruments. Sometimes, results between these instruments disagree. The broader autism phenotype (BAP) in parent-reporters may be associated with discordance. Study to Explore Early Development data (N?=?712) were used to address whether mothers with BAP and children with ASD or non-ASD developmental disabilities were more likely than mothers without BAP to ‘over-’ or ‘under-report’ child ASD on ASD screeners or interviews compared with clinician observation or overall impression. Maternal BAP was associated with a child meeting thresholds on a maternal-reported screener or maternal interview when clinician ASD instruments or impressions did not (risk ratios: 1.30 to 2.85). Evidence suggests acknowledging and accounting for reporting discordances may be important when diagnosing ASD. En ligne : https://doi.org/10.1007/s10803-017-3248-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=319 [article] The Broader Autism Phenotype in Mothers is Associated with Increased Discordance Between Maternal-Reported and Clinician-Observed Instruments that Measure Child Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Eric RUBENSTEIN, Auteur ; Rebecca EDMONDSON PRETZEL, Auteur ; Gayle C. WINDHAM, Auteur ; Laura A. SCHIEVE, Auteur ; Lisa D. WIGGINS, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; Andrew F. OLSHAN, Auteur ; Annie G. HOWARD, Auteur ; Brian W. PENCE, Auteur ; Lisa YOUNG, Auteur ; Julie L. DANIELS, Auteur . - p.3253-3266. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 47-10 (October 2017) . - p.3253-3266 Mots-clés : Autism Diagnostic Interview-Revised  Autism Diagnostic Observation Schedule  Autism spectrum disorder  Broader autism phenotype  Instrument discordance Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) diagnosis relies on parent-reported and clinician-observed instruments. Sometimes, results between these instruments disagree. The broader autism phenotype (BAP) in parent-reporters may be associated with discordance. Study to Explore Early Development data (N?=?712) were used to address whether mothers with BAP and children with ASD or non-ASD developmental disabilities were more likely than mothers without BAP to ‘over-’ or ‘under-report’ child ASD on ASD screeners or interviews compared with clinician observation or overall impression. Maternal BAP was associated with a child meeting thresholds on a maternal-reported screener or maternal interview when clinician ASD instruments or impressions did not (risk ratios: 1.30 to 2.85). Evidence suggests acknowledging and accounting for reporting discordances may be important when diagnosing ASD. En ligne : https://doi.org/10.1007/s10803-017-3248-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=319

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

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