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Influence of family demographic factors on social communication questionnaire scores / A. ROSENBERG STEVEN in Autism Research, 11-5 (May 2018)
[article]
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
in Autism Research > 11-5 (May 2018) . - p.695-706[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 Demographic and Clinical Characteristics Associated with Engagement in Behavioral Health Treatment Among Children with Autism Spectrum Disorders / Lisa A. CROEN in Journal of Autism and Developmental Disorders, 47-11 (November 2017)
[article]
Titre : Demographic and Clinical Characteristics Associated with Engagement in Behavioral Health Treatment Among Children with Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Lisa A. CROEN, Auteur ; N. SHANKUTE, Auteur ; M. DAVIGNON, Auteur ; M. L. MASSOLO, Auteur ; C. YOSHIDA, Auteur Article en page(s) : p.3347-3357 Langues : Anglais (eng) Mots-clés : Applied behavior analysis (ABA) Demographic factors Treatment adherence intervention Index. décimale : PER Périodiques Résumé : This study investigates demographic and clinical factors associated with initiation, continuation, and adherence to behavioral health treatment (BHT) among children with autism spectrum disorder. Among 293 insured children referred for applied behavior analysis (ABA) based BHT, 23% never initiated treatment. Among those initiating treatment, 31% discontinued treatment within 1 year of treatment initiation, and only 15% received 80% or more of recommended treatment hours. Younger age at referral to treatment, private health insurance, and receiving more than 10 h/week of BHT were associated with treatment engagement. Co-occurring psychiatric and medical conditions were related to treatment discontinuation among children 5 years or older. These findings suggest specific subgroups that may benefit from additional support with engaging in recommended behavioral health treatment. En ligne : http://dx.doi.org/10.1007/s10803-017-3247-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=324
in Journal of Autism and Developmental Disorders > 47-11 (November 2017) . - p.3347-3357[article] Demographic and Clinical Characteristics Associated with Engagement in Behavioral Health Treatment Among Children with Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Lisa A. CROEN, Auteur ; N. SHANKUTE, Auteur ; M. DAVIGNON, Auteur ; M. L. MASSOLO, Auteur ; C. YOSHIDA, Auteur . - p.3347-3357.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 47-11 (November 2017) . - p.3347-3357
Mots-clés : Applied behavior analysis (ABA) Demographic factors Treatment adherence intervention Index. décimale : PER Périodiques Résumé : This study investigates demographic and clinical factors associated with initiation, continuation, and adherence to behavioral health treatment (BHT) among children with autism spectrum disorder. Among 293 insured children referred for applied behavior analysis (ABA) based BHT, 23% never initiated treatment. Among those initiating treatment, 31% discontinued treatment within 1 year of treatment initiation, and only 15% received 80% or more of recommended treatment hours. Younger age at referral to treatment, private health insurance, and receiving more than 10 h/week of BHT were associated with treatment engagement. Co-occurring psychiatric and medical conditions were related to treatment discontinuation among children 5 years or older. These findings suggest specific subgroups that may benefit from additional support with engaging in recommended behavioral health treatment. En ligne : http://dx.doi.org/10.1007/s10803-017-3247-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=324