Autism spectrum disorder and birth spacing: Findings from the study to explore early development (SEED) / Laura A. SCHIEVE in Autism Research, 11-1 (January 2018)  

Public ISBD [article]  inAutism Research > 11-1 (January 2018) . - p.81-94 Titre : Autism spectrum disorder and birth spacing: Findings from the study to explore early development (SEED) Type de document : Texte imprimé et/ou numérique Auteurs : Laura A. SCHIEVE, Auteur ; H. TIAN LIN, Auteur ; Carolyn DREWS?BOTSCH, Auteur ; C. WINDHAM GAYLE, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Julie L. DANIELS, Auteur ; Li-Ching LEE, Auteur ; Lisa A. CROEN, Auteur ; M. DANIELLE FALLIN, Auteur Article en page(s) : p.81-94 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  developmental disabilities  birth spacing  epidemiology  risk factor Index. décimale : PER Périodiques Résumé : Previous studies of autism spectrum disorder (ASD) and birth spacing had limitations; few examined phenotypic case subtypes or explored underlying mechanisms for associations and none assessed whether other (non?ASD) developmental disabilities (DDs) were associated with birth spacing. We assessed associations between inter?pregnancy interval (IPI) and both ASD and other DDs using data from the Study to Explore Early Development, a multi?site case?control study with rigorous case?finding and case?classification methods and detailed data collection on maternal reproductive history. Our sample included 356 ASD cases, 627 DD cases, and 524 population (POP) controls born in second or later births. ASD and DD cases were further sub?divided according to whether the child had intellectual disability (ID). ASD cases were also sub?divided by ASD symptom severity, and DD cases were subdivided by presence of some ASD symptoms (indicated on an autism screener). Odds ratios, adjusted for maternal?child sociodemographic factors, (aORs) and 95% confidence intervals were derived from logistic regression models. Among term births, ASD was associated with both IPI <18 months (aOR 1.5 [1.1?2.2]) and ?60 months (1.5 [0.99?2.4]). Both short and long IPI associations were stronger among ASD cases with high severity scores (aORs 2.0 [1.3?3.3] and 1.8 [0.99?3.2], respectively). Associations were unchanged after adding several factors potentially related to the causal pathway to regression models. DD was not associated with either short or long IPI?overall, among term births, or in any subgroup examined. These findings extend those from previous studies and further inform recommendations on optimal pregnancy spacing. Autism Res 2018, 11: 81?94. ? 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary We investigated whether the amount of time between pregnancies was associated autism spectrum disorder (ASD) or other developmental disabilities (DD) in children. ASD was increased in second and later?born children who were conceived less than 18 months or 60 or more months after the mother's previous birth. Other DDs were not associated with birth spacing. En ligne : https://doi.org/10.1002/aur.1887 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=333 [article] Autism spectrum disorder and birth spacing: Findings from the study to explore early development (SEED) [Texte imprimé et/ou numérique] / Laura A. SCHIEVE, Auteur ; H. TIAN LIN, Auteur ; Carolyn DREWS?BOTSCH, Auteur ; C. WINDHAM GAYLE, Auteur ; Craig J. NEWSCHAFFER, Auteur ; Julie L. DANIELS, Auteur ; Li-Ching LEE, Auteur ; Lisa A. CROEN, Auteur ; M. DANIELLE FALLIN, Auteur . - p.81-94. Langues : Anglais (eng) in Autism Research > 11-1 (January 2018) . - p.81-94 Mots-clés : autism spectrum disorder  developmental disabilities  birth spacing  epidemiology  risk factor Index. décimale : PER Périodiques Résumé : Previous studies of autism spectrum disorder (ASD) and birth spacing had limitations; few examined phenotypic case subtypes or explored underlying mechanisms for associations and none assessed whether other (non?ASD) developmental disabilities (DDs) were associated with birth spacing. We assessed associations between inter?pregnancy interval (IPI) and both ASD and other DDs using data from the Study to Explore Early Development, a multi?site case?control study with rigorous case?finding and case?classification methods and detailed data collection on maternal reproductive history. Our sample included 356 ASD cases, 627 DD cases, and 524 population (POP) controls born in second or later births. ASD and DD cases were further sub?divided according to whether the child had intellectual disability (ID). ASD cases were also sub?divided by ASD symptom severity, and DD cases were subdivided by presence of some ASD symptoms (indicated on an autism screener). Odds ratios, adjusted for maternal?child sociodemographic factors, (aORs) and 95% confidence intervals were derived from logistic regression models. Among term births, ASD was associated with both IPI <18 months (aOR 1.5 [1.1?2.2]) and ?60 months (1.5 [0.99?2.4]). Both short and long IPI associations were stronger among ASD cases with high severity scores (aORs 2.0 [1.3?3.3] and 1.8 [0.99?3.2], respectively). Associations were unchanged after adding several factors potentially related to the causal pathway to regression models. DD was not associated with either short or long IPI?overall, among term births, or in any subgroup examined. These findings extend those from previous studies and further inform recommendations on optimal pregnancy spacing. Autism Res 2018, 11: 81?94. ? 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary We investigated whether the amount of time between pregnancies was associated autism spectrum disorder (ASD) or other developmental disabilities (DD) in children. ASD was increased in second and later?born children who were conceived less than 18 months or 60 or more months after the mother's previous birth. Other DDs were not associated with birth spacing. En ligne : https://doi.org/10.1002/aur.1887 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=333

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

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