Influence of family demographic factors on social communication questionnaire scores / Steven A. ROSENBERG 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 Auteurs : Steven A. ROSENBERG, Auteur ; Eric J. MOODY, Auteur ; Li-Ching LEE, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; Gayle C. WINDHAM, Auteur ; Lisa D. WIGGINS, Auteur ; Laura A. SCHIEVE, Auteur ; M. LEDBETTER CAROLINE, Auteur ; Susan E. LEVY, Auteur ; Lisa BLASKEY, Auteur ; Lisa YOUNG, Auteur ; Pilar BERNAL, Auteur ; Cordelia ROSENBERG, 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] / Steven A. ROSENBERG, Auteur ; Eric J. MOODY, Auteur ; Li-Ching LEE, Auteur ; Carolyn G. DIGUISEPPI, Auteur ; Gayle C. WINDHAM, Auteur ; Lisa D. WIGGINS, Auteur ; Laura A. SCHIEVE, Auteur ; M. LEDBETTER CAROLINE, Auteur ; Susan E. LEVY, Auteur ; Lisa BLASKEY, Auteur ; Lisa YOUNG, Auteur ; Pilar BERNAL, Auteur ; Cordelia ROSENBERG, 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

Risk factors and clinical correlates of sensory dysfunction in preschool children with and without autism spectrum disorder / Katie OVERWYK ; Julie DANIELS ; Brian D. BARGER ; Hayley CRAIN ; Rebecca GRZADZINSKI ; Eric J. MOODY ; Ann REYNOLDS ; Nuri M. REYES ; Cordelia ROSENBERG ; Steven A. ROSENBERG ; Karen PAZOL in Autism Research, 17-1 (January 2024)  

Public ISBD [article]  inAutism Research > 17-1 (January 2024) . - p.162-171 Titre : Risk factors and clinical correlates of sensory dysfunction in preschool children with and without autism spectrum disorder Type de document : texte imprimé Auteurs : Katie OVERWYK, Auteur ; Julie DANIELS, Auteur ; Brian D. BARGER, Auteur ; Hayley CRAIN, Auteur ; Rebecca GRZADZINSKI, Auteur ; Eric J. MOODY, Auteur ; Ann REYNOLDS, Auteur ; Nuri M. REYES, Auteur ; Cordelia ROSENBERG, Auteur ; Steven A. ROSENBERG, Auteur ; Karen PAZOL, Auteur Article en page(s) : p.162-171 Index. décimale : PER Périodiques Résumé : Abstract Sensory dysfunction is a common feature of autism spectrum disorder (ASD). The objectives of this analysis were to examine risk factors and clinical correlates of sensory dysfunction in preschool children with and without ASD. Children aged 2 5 years were enrolled in a multi-site case?control study. Data were collected in eight areas across the United States in three phases. Caregivers completed an interview with questions on assisted delivery, maternal alcohol use, maternal anxiety during pregnancy, pregnancy weight gain, neonatal jaundice, preterm birth, and child sensory diagnosis given by a healthcare provider. Caregivers also completed an interview and questionnaires on sensory symptoms and clinical correlates of sensory dysfunction in their child. There were 2059 children classified as ASD, 3139 as other developmental delay or disability (DD), and 3249 as population comparison (POP). Caregivers reported significantly more sensory diagnoses and sensory symptoms in children classified as ASD than DD or POP (23.7%, 8.6%, and 0.8%, respectively, for a sensory diagnosis and up to 78.7% [ASD] vs. 49.6% [DD] for sensory symptoms). Maternal anxiety during pregnancy and neonatal jaundice were significantly associated with a sensory diagnosis and certain sensory symptoms in children with ASD and DD. Children's anxiety, attention deficits/hyperactivity, and sleep problems were significantly albeit subtly correlated with both a sensory diagnosis and sensory symptoms in children with ASD and DD. These findings support sensory dysfunction as a distinguishing symptom of ASD in preschool children and identify risk factors and clinical correlates to inform screening and treatment efforts in those with atypical development. En ligne : https://doi.org/10.1002/aur.3074 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=519 [article] Risk factors and clinical correlates of sensory dysfunction in preschool children with and without autism spectrum disorder [texte imprimé] / Katie OVERWYK, Auteur ; Julie DANIELS, Auteur ; Brian D. BARGER, Auteur ; Hayley CRAIN, Auteur ; Rebecca GRZADZINSKI, Auteur ; Eric J. MOODY, Auteur ; Ann REYNOLDS, Auteur ; Nuri M. REYES, Auteur ; Cordelia ROSENBERG, Auteur ; Steven A. ROSENBERG, Auteur ; Karen PAZOL, Auteur . - p.162-171. in Autism Research > 17-1 (January 2024) . - p.162-171 Index. décimale : PER Périodiques Résumé : Abstract Sensory dysfunction is a common feature of autism spectrum disorder (ASD). The objectives of this analysis were to examine risk factors and clinical correlates of sensory dysfunction in preschool children with and without ASD. Children aged 2 5 years were enrolled in a multi-site case?control study. Data were collected in eight areas across the United States in three phases. Caregivers completed an interview with questions on assisted delivery, maternal alcohol use, maternal anxiety during pregnancy, pregnancy weight gain, neonatal jaundice, preterm birth, and child sensory diagnosis given by a healthcare provider. Caregivers also completed an interview and questionnaires on sensory symptoms and clinical correlates of sensory dysfunction in their child. There were 2059 children classified as ASD, 3139 as other developmental delay or disability (DD), and 3249 as population comparison (POP). Caregivers reported significantly more sensory diagnoses and sensory symptoms in children classified as ASD than DD or POP (23.7%, 8.6%, and 0.8%, respectively, for a sensory diagnosis and up to 78.7% [ASD] vs. 49.6% [DD] for sensory symptoms). Maternal anxiety during pregnancy and neonatal jaundice were significantly associated with a sensory diagnosis and certain sensory symptoms in children with ASD and DD. Children's anxiety, attention deficits/hyperactivity, and sleep problems were significantly albeit subtly correlated with both a sensory diagnosis and sensory symptoms in children with ASD and DD. These findings support sensory dysfunction as a distinguishing symptom of ASD in preschool children and identify risk factors and clinical correlates to inform screening and treatment efforts in those with atypical development. En ligne : https://doi.org/10.1002/aur.3074 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=519

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