Examining the association between prenatal cannabis exposure and child autism traits: A multi-cohort investigation in the environmental influences on child health outcome program / Aisha S. DICKERSON ; Tingju HSU ; Aseel AL-JADIRI ; Carlos A. CAMARGO ; Julie B. SCHWEITZER ; Coral L. SHUSTER ; Margaret R. KARAGAS ; Juliette C. MADAN ; Bibiana RESTREPO ; Rebecca J. SCHMIDT ; Claudia LUGO-CANDELAS ; Jenae NEIDERHISER ; Sheela SATHYANARAYANA ; Anne L. DUNLOP ; Patricia A. BRENNAN ; program collaborators for Environmental influences on Child Health OUTCOMES in Autism Research, 17-8 (August 2024)  

Public ISBD [article]  inAutism Research > 17-8 (August 2024) . - p.1651-1664 Titre : Examining the association between prenatal cannabis exposure and child autism traits: A multi-cohort investigation in the environmental influences on child health outcome program Type de document : Texte imprimé et/ou numérique Auteurs : Aisha S. DICKERSON, Auteur ; Tingju HSU, Auteur ; Aseel AL-JADIRI, Auteur ; Carlos A. CAMARGO, Auteur ; Julie B. SCHWEITZER, Auteur ; Coral L. SHUSTER, Auteur ; Margaret R. KARAGAS, Auteur ; Juliette C. MADAN, Auteur ; Bibiana RESTREPO, Auteur ; Rebecca J. SCHMIDT, Auteur ; Claudia LUGO-CANDELAS, Auteur ; Jenae NEIDERHISER, Auteur ; Sheela SATHYANARAYANA, Auteur ; Anne L. DUNLOP, Auteur ; Patricia A. BRENNAN, Auteur ; program collaborators for Environmental influences on Child Health OUTCOMES, Auteur Article en page(s) : p.1651-1664 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract This study examined the association between prenatal cannabis exposure and autism spectrum disorder (ASD) diagnoses and traits. A total sample of 11,570 children (ages 1-18; 53% male; 25% Hispanic; 60% White) from 34 cohorts of the National Institutes of Health-funded environmental influences on child health outcomes consortium were included in analyses. Results from generalized linear mixed models replicated previous studies showing that associations between prenatal cannabis exposure and ASD traits in children are not significant when controlling for relevant covariates, particularly tobacco exposure. Child biological sex did not moderate the association between prenatal cannabis exposure and ASD. In a large sample and measuring ASD traits continuously, there was no evidence that prenatal cannabis exposure increases the risk for ASD. This work helps to clarify previous mixed findings by addressing concerns about statistical power and ASD measurement. En ligne : https://doi.org/10.1002/aur.3185 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=533 [article] Examining the association between prenatal cannabis exposure and child autism traits: A multi-cohort investigation in the environmental influences on child health outcome program [Texte imprimé et/ou numérique] / Aisha S. DICKERSON, Auteur ; Tingju HSU, Auteur ; Aseel AL-JADIRI, Auteur ; Carlos A. CAMARGO, Auteur ; Julie B. SCHWEITZER, Auteur ; Coral L. SHUSTER, Auteur ; Margaret R. KARAGAS, Auteur ; Juliette C. MADAN, Auteur ; Bibiana RESTREPO, Auteur ; Rebecca J. SCHMIDT, Auteur ; Claudia LUGO-CANDELAS, Auteur ; Jenae NEIDERHISER, Auteur ; Sheela SATHYANARAYANA, Auteur ; Anne L. DUNLOP, Auteur ; Patricia A. BRENNAN, Auteur ; program collaborators for Environmental influences on Child Health OUTCOMES, Auteur . - p.1651-1664. Langues : Anglais (eng) in Autism Research > 17-8 (August 2024) . - p.1651-1664 Index. décimale : PER Périodiques Résumé : Abstract This study examined the association between prenatal cannabis exposure and autism spectrum disorder (ASD) diagnoses and traits. A total sample of 11,570 children (ages 1-18; 53% male; 25% Hispanic; 60% White) from 34 cohorts of the National Institutes of Health-funded environmental influences on child health outcomes consortium were included in analyses. Results from generalized linear mixed models replicated previous studies showing that associations between prenatal cannabis exposure and ASD traits in children are not significant when controlling for relevant covariates, particularly tobacco exposure. Child biological sex did not moderate the association between prenatal cannabis exposure and ASD. In a large sample and measuring ASD traits continuously, there was no evidence that prenatal cannabis exposure increases the risk for ASD. This work helps to clarify previous mixed findings by addressing concerns about statistical power and ASD measurement. En ligne : https://doi.org/10.1002/aur.3185 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=533

Maternal tobacco smoking and offspring autism spectrum disorder or traits in ECHO cohorts / Irva HERTZ-PICCIOTTO in Autism Research, 15-3 (March 2022)  

Public ISBD [article]  inAutism Research > 15-3 (March 2022) . - p.551-569 Titre : Maternal tobacco smoking and offspring autism spectrum disorder or traits in ECHO cohorts Type de document : Texte imprimé et/ou numérique Auteurs : Irva HERTZ-PICCIOTTO, Auteur ; Susan A. KORRICK, Auteur ; Christine LADD-ACOSTA, Auteur ; Margaret R. KARAGAS, Auteur ; Kristen LYALL, Auteur ; Rebecca J. SCHMIDT, Auteur ; Anne L. DUNLOP, Auteur ; Lisa A. CROEN, Auteur ; Dana DABELEA, Auteur ; Julie L. DANIELS, Auteur ; Cristiane S. DUARTE, Auteur ; M. Daniele FALLIN, Auteur ; Catherine J. KARR, Auteur ; Barry LESTER, Auteur ; Leslie D. LEVE, Auteur ; Yijun LI, Auteur ; Monica MCGRATH, Auteur ; Xuejuan NING, Auteur ; Emily OKEN, Auteur ; Sharon K. SAGIV, Auteur ; Sheela SATHYANARAYA, Auteur ; Frances TYLAVSKY, Auteur ; Heather E. VOLK, Auteur ; Lauren S. WAKSCHLAG, Auteur ; Mingyu ZHANG, Auteur ; T. Michael O'SHEA, Auteur ; Rashelle J. MUSCI, Auteur ; program collaborators for Environmental influences on Child Health OUTCOMES, Auteur Article en page(s) : p.551-569 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Given inconsistent evidence on preconception or prenatal tobacco use and offspring autism spectrum disorder (ASD), this study assessed associations of maternal smoking with ASD and ASD-related traits. Among 72 cohorts in the Environmental Influences on Child Health Outcomes consortium, 11 had ASD diagnosis and prenatal tobaccosmoking (n = 8648). and 7 had Social Responsiveness Scale (SRS) scores of ASD traits (n = 2399). Cohorts had diagnoses alone (6), traits alone (2), or both (5). Diagnoses drew from parent/caregiver report, review of records, or standardized instruments. Regression models estimated smoking-related odds ratios (ORs) for diagnoses and standardized mean differences for SRS scores. Cohort-specific ORs were meta-analyzed. Overall, maternal smoking was unassociated with child ASD (adjusted OR, 1.08; 95% confidence interval [CI], 0.72?1.61). However, heterogeneity across studies was strong: preterm cohorts showed reduced ASD risk for exposed children. After excluding preterm cohorts (biased by restrictions on causal intermediate and exposure opportunity) and small cohorts (very few ASD cases in either smoking category), the adjusted OR for ASD from maternal smoking was 1.44 (95% CI, 1.02?2.03). Children of smoking (versus non-smoking) mothers had more ASD traits (SRS T-score?+?2.37 points, 95% CI, 0.73?4.01 points), with results homogeneous across cohorts. Maternal preconception/prenatal smoking was consistently associated with quantitative ASD traits and modestly associated with ASD diagnosis among sufficiently powered United States cohorts of non-preterm children. Limitations resulting from self-reported smoking and unmeasured confounders preclude definitive conclusions. Nevertheless, counseling on potential and known risks to the child from maternal smoking is warranted for pregnant women and pregnancy planners. Lay Summary Evidence on the association between maternal prenatal smoking and the child's risk for autism spectrum disorder has been conflicting, with some studies reporting harmful effects, and others finding reduced risks. Our analysis of children in the ECHO consortium found that maternal prenatal tobacco smoking is consistently associated with an increase in autism-related symptoms in the general population and modestly associated with elevated risk for a diagnosis of autism spectrum disorder when looking at a combined analysis from multiple studies that each included both pre- and full-term births. However, this study is not proof of a causal connection. Future studies to clarify the role of smoking in autism-like behaviors or autism diagnoses should collect more reliable data on smoking and measure other exposures or lifestyle factors that might have confounded our results. En ligne : https://doi.org/10.1002/aur.2665 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473 [article] Maternal tobacco smoking and offspring autism spectrum disorder or traits in ECHO cohorts [Texte imprimé et/ou numérique] / Irva HERTZ-PICCIOTTO, Auteur ; Susan A. KORRICK, Auteur ; Christine LADD-ACOSTA, Auteur ; Margaret R. KARAGAS, Auteur ; Kristen LYALL, Auteur ; Rebecca J. SCHMIDT, Auteur ; Anne L. DUNLOP, Auteur ; Lisa A. CROEN, Auteur ; Dana DABELEA, Auteur ; Julie L. DANIELS, Auteur ; Cristiane S. DUARTE, Auteur ; M. Daniele FALLIN, Auteur ; Catherine J. KARR, Auteur ; Barry LESTER, Auteur ; Leslie D. LEVE, Auteur ; Yijun LI, Auteur ; Monica MCGRATH, Auteur ; Xuejuan NING, Auteur ; Emily OKEN, Auteur ; Sharon K. SAGIV, Auteur ; Sheela SATHYANARAYA, Auteur ; Frances TYLAVSKY, Auteur ; Heather E. VOLK, Auteur ; Lauren S. WAKSCHLAG, Auteur ; Mingyu ZHANG, Auteur ; T. Michael O'SHEA, Auteur ; Rashelle J. MUSCI, Auteur ; program collaborators for Environmental influences on Child Health OUTCOMES, Auteur . - p.551-569. Langues : Anglais (eng) in Autism Research > 15-3 (March 2022) . - p.551-569 Index. décimale : PER Périodiques Résumé : Abstract Given inconsistent evidence on preconception or prenatal tobacco use and offspring autism spectrum disorder (ASD), this study assessed associations of maternal smoking with ASD and ASD-related traits. Among 72 cohorts in the Environmental Influences on Child Health Outcomes consortium, 11 had ASD diagnosis and prenatal tobaccosmoking (n = 8648). and 7 had Social Responsiveness Scale (SRS) scores of ASD traits (n = 2399). Cohorts had diagnoses alone (6), traits alone (2), or both (5). Diagnoses drew from parent/caregiver report, review of records, or standardized instruments. Regression models estimated smoking-related odds ratios (ORs) for diagnoses and standardized mean differences for SRS scores. Cohort-specific ORs were meta-analyzed. Overall, maternal smoking was unassociated with child ASD (adjusted OR, 1.08; 95% confidence interval [CI], 0.72?1.61). However, heterogeneity across studies was strong: preterm cohorts showed reduced ASD risk for exposed children. After excluding preterm cohorts (biased by restrictions on causal intermediate and exposure opportunity) and small cohorts (very few ASD cases in either smoking category), the adjusted OR for ASD from maternal smoking was 1.44 (95% CI, 1.02?2.03). Children of smoking (versus non-smoking) mothers had more ASD traits (SRS T-score?+?2.37 points, 95% CI, 0.73?4.01 points), with results homogeneous across cohorts. Maternal preconception/prenatal smoking was consistently associated with quantitative ASD traits and modestly associated with ASD diagnosis among sufficiently powered United States cohorts of non-preterm children. Limitations resulting from self-reported smoking and unmeasured confounders preclude definitive conclusions. Nevertheless, counseling on potential and known risks to the child from maternal smoking is warranted for pregnant women and pregnancy planners. Lay Summary Evidence on the association between maternal prenatal smoking and the child's risk for autism spectrum disorder has been conflicting, with some studies reporting harmful effects, and others finding reduced risks. Our analysis of children in the ECHO consortium found that maternal prenatal tobacco smoking is consistently associated with an increase in autism-related symptoms in the general population and modestly associated with elevated risk for a diagnosis of autism spectrum disorder when looking at a combined analysis from multiple studies that each included both pre- and full-term births. However, this study is not proof of a causal connection. Future studies to clarify the role of smoking in autism-like behaviors or autism diagnoses should collect more reliable data on smoking and measure other exposures or lifestyle factors that might have confounded our results. En ligne : https://doi.org/10.1002/aur.2665 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=473

Prenatal depression and risk of child autism-related traits among participants in the Environmental influences on Child Health Outcomes program / Lyndsay A. AVALOS in Autism Research, 16-9 (September 2023)  

Public ISBD [article]  inAutism Research > 16-9 (September 2023) . - p.1825-1835 Titre : Prenatal depression and risk of child autism-related traits among participants in the Environmental influences on Child Health Outcomes program Type de document : Texte imprimé et/ou numérique Auteurs : Lyndsay A. AVALOS, Auteur ; Aruna CHANDRAN, Auteur ; Marie L. CHURCHILL, Auteur ; Xingyu GAO, Auteur ; Jennifer L. AMES, Auteur ; Sara S. NOZADI, Auteur ; Danielle ROUBINOV, Auteur ; Patricia A. BRENNAN, Auteur ; Nicole R. BUSH, Auteur ; Carlos A. CAMARGO, Auteur ; Kecia N. CARROLL, Auteur ; Camille C. CIOFFI, Auteur ; Assiamira FERRARA, Auteur ; Brandon GOLDSON, Auteur ; Monique M. HEDDERSON, Auteur ; Alison E. HIPWELL, Auteur ; Jean M. KERVER, Auteur ; Thomas G. O'CONNOR, Auteur ; Christina A. PORUCZNIK, Auteur ; Lauren C. SHUFFREY, Auteur ; Maria M. TALAVERA-BARBER, Auteur ; Rosalind J. WRIGHT, Auteur ; Yeyi ZHU, Auteur ; Lisa A. CROEN, Auteur ; program collaborators for Environmental influences on Child Health OUTCOMES, Auteur Article en page(s) : p.1825-1835 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract This study evaluated the association between prenatal depression and offspring autism-related traits. The sample comprised 33 prenatal/pediatric cohorts participating in the Environmental influences on Child Health Outcomes program who contributed information on prenatal depression and autism-related traits. Autism-related traits were assessed continuously and at the diagnostic cut-off using the Social Responsiveness Scale for children up to 12?years of age. Main analyses included 3994 parent-child pairs with prenatal depression diagnoses data; secondary analyses included 1730 parent-child pairs with depression severity data. After confounder adjustment, we observed an increase in autism-related traits among children of individuals with prenatal depression compared to those without (adjusted ?=1.31 95% CI: 0.65, 1.98). Analyses stratified by child sex documented a similar significant association among boys (a?=1.34 95%CI: 0.36, 2.32) and girls (a?=1.26 95% CI: 0.37, 2.15). Prenatal depression was also associated with increased odds of moderate to severe autism-related traits (adjusted odds ratio: 1.64, 95%CI: 1.09, 2.46), the screening threshold considered high risk of autism spectrum disorder (ASD) diagnosis. Findings highlight the importance of prenatal depression screening and preventive interventions for children of pregnant individuals with depression to support healthy development. Future research is needed to clarify whether these findings reflect overlap in genetic risk for depression and ASD-related traits or another mechanism. En ligne : https://doi.org/10.1002/aur.2988 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510 [article] Prenatal depression and risk of child autism-related traits among participants in the Environmental influences on Child Health Outcomes program [Texte imprimé et/ou numérique] / Lyndsay A. AVALOS, Auteur ; Aruna CHANDRAN, Auteur ; Marie L. CHURCHILL, Auteur ; Xingyu GAO, Auteur ; Jennifer L. AMES, Auteur ; Sara S. NOZADI, Auteur ; Danielle ROUBINOV, Auteur ; Patricia A. BRENNAN, Auteur ; Nicole R. BUSH, Auteur ; Carlos A. CAMARGO, Auteur ; Kecia N. CARROLL, Auteur ; Camille C. CIOFFI, Auteur ; Assiamira FERRARA, Auteur ; Brandon GOLDSON, Auteur ; Monique M. HEDDERSON, Auteur ; Alison E. HIPWELL, Auteur ; Jean M. KERVER, Auteur ; Thomas G. O'CONNOR, Auteur ; Christina A. PORUCZNIK, Auteur ; Lauren C. SHUFFREY, Auteur ; Maria M. TALAVERA-BARBER, Auteur ; Rosalind J. WRIGHT, Auteur ; Yeyi ZHU, Auteur ; Lisa A. CROEN, Auteur ; program collaborators for Environmental influences on Child Health OUTCOMES, Auteur . - p.1825-1835. Langues : Anglais (eng) in Autism Research > 16-9 (September 2023) . - p.1825-1835 Index. décimale : PER Périodiques Résumé : Abstract This study evaluated the association between prenatal depression and offspring autism-related traits. The sample comprised 33 prenatal/pediatric cohorts participating in the Environmental influences on Child Health Outcomes program who contributed information on prenatal depression and autism-related traits. Autism-related traits were assessed continuously and at the diagnostic cut-off using the Social Responsiveness Scale for children up to 12?years of age. Main analyses included 3994 parent-child pairs with prenatal depression diagnoses data; secondary analyses included 1730 parent-child pairs with depression severity data. After confounder adjustment, we observed an increase in autism-related traits among children of individuals with prenatal depression compared to those without (adjusted ?=1.31 95% CI: 0.65, 1.98). Analyses stratified by child sex documented a similar significant association among boys (a?=1.34 95%CI: 0.36, 2.32) and girls (a?=1.26 95% CI: 0.37, 2.15). Prenatal depression was also associated with increased odds of moderate to severe autism-related traits (adjusted odds ratio: 1.64, 95%CI: 1.09, 2.46), the screening threshold considered high risk of autism spectrum disorder (ASD) diagnosis. Findings highlight the importance of prenatal depression screening and preventive interventions for children of pregnant individuals with depression to support healthy development. Future research is needed to clarify whether these findings reflect overlap in genetic risk for depression and ASD-related traits or another mechanism. En ligne : https://doi.org/10.1002/aur.2988 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=510

Reproducibility between preschool and school-age Social Responsiveness Scale forms in the Environmental influences on Child Health Outcomes program / Marisa A. PATTI in Autism Research, 17-5 (May 2024)  

Public ISBD [article]  inAutism Research > 17-5 (May 2024) Titre : Reproducibility between preschool and school-age Social Responsiveness Scale forms in the Environmental influences on Child Health Outcomes program Type de document : Texte imprimé et/ou numérique Auteurs : Marisa A. PATTI, Auteur ; Lisa A. CROEN, Auteur ; Aisha S. DICKERSON, Auteur ; Robert M. JOSEPH, Auteur ; Jennifer L. AMES, Auteur ; Christine LADD-ACOSTA, Auteur ; Sally OZONOFF, Auteur ; Rebecca J. SCHMIDT, Auteur ; Heather E. VOLK, Auteur ; Alison E. HIPWELL, Auteur ; Kelsey E. MAGEE, Auteur ; Margaret KARAGAS, Auteur ; Cindy MCEVOY, Auteur ; Rebecca LANDA, Auteur ; Michael R. ELLIOTT, Auteur ; Daphne Koinis MITCHELL, Auteur ; Viren D'SA, Auteur ; Sean DEONI, Auteur ; Michelle PIEVSKY, Auteur ; Pei-Chi WU, Auteur ; Fatoumata BARRY, Auteur ; Joseph B. STANFORD, Auteur ; Deborah A. BILDER, Auteur ; Leonardo TRASANDE, Auteur ; Nicole R. BUSH, Auteur ; Kristen LYALL, Auteur ; program collaborators for Environmental influences on Child Health OUTCOMES, Auteur Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Evidence suggests core autism trait consistency in older children, but development of these traits is variable in early childhood. The Social Responsiveness Scale (SRS) measures autism-related traits and broader autism phenotype, with two age-dependent forms in childhood (preschool, 2.5-4.5?years; school age, 4-18?years). Score consistency has been observed within forms, though reliability across forms has not been evaluated. Using data from the Environmental Influences on Child Health Outcomes (ECHO) program (n = 853), preschool, and school-age SRS scores were collected via maternal report when children were an average of 3.0 and 5.8?years, respectively. We compared reproducibility of SRS total scores (T-scores) and agreement above a clinically meaningful cutoff (T-scores???60) and examined predictors of discordance in cutoff scores across forms. Participant scores across forms were similar (mean difference: 3.3 points; standard deviation: 7), though preschool scores were on average lower than school-age scores. Most children (88%) were classified below the cutoff on both forms, and overall concordance was high (92%). However, discordance was higher in cohorts following younger siblings of autistic children (16%). Proportions of children with an autism diagnoses were also higher among those with discordant scores (27%) than among those with concordant scores (4%). Our findings indicate SRS scores are broadly reproducible across preschool and school-age forms, particularly for capturing broader, nonclinical traits, but also suggest that greater variability of autism-related traits in preschool-age children may reduce reliability with later school-age scores for those in the clinical range. En ligne : https://doi.org/10.1002/aur.3147 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=529 [article] Reproducibility between preschool and school-age Social Responsiveness Scale forms in the Environmental influences on Child Health Outcomes program [Texte imprimé et/ou numérique] / Marisa A. PATTI, Auteur ; Lisa A. CROEN, Auteur ; Aisha S. DICKERSON, Auteur ; Robert M. JOSEPH, Auteur ; Jennifer L. AMES, Auteur ; Christine LADD-ACOSTA, Auteur ; Sally OZONOFF, Auteur ; Rebecca J. SCHMIDT, Auteur ; Heather E. VOLK, Auteur ; Alison E. HIPWELL, Auteur ; Kelsey E. MAGEE, Auteur ; Margaret KARAGAS, Auteur ; Cindy MCEVOY, Auteur ; Rebecca LANDA, Auteur ; Michael R. ELLIOTT, Auteur ; Daphne Koinis MITCHELL, Auteur ; Viren D'SA, Auteur ; Sean DEONI, Auteur ; Michelle PIEVSKY, Auteur ; Pei-Chi WU, Auteur ; Fatoumata BARRY, Auteur ; Joseph B. STANFORD, Auteur ; Deborah A. BILDER, Auteur ; Leonardo TRASANDE, Auteur ; Nicole R. BUSH, Auteur ; Kristen LYALL, Auteur ; program collaborators for Environmental influences on Child Health OUTCOMES, Auteur. Langues : Anglais (eng) in Autism Research > 17-5 (May 2024) Index. décimale : PER Périodiques Résumé : Abstract Evidence suggests core autism trait consistency in older children, but development of these traits is variable in early childhood. The Social Responsiveness Scale (SRS) measures autism-related traits and broader autism phenotype, with two age-dependent forms in childhood (preschool, 2.5-4.5?years; school age, 4-18?years). Score consistency has been observed within forms, though reliability across forms has not been evaluated. Using data from the Environmental Influences on Child Health Outcomes (ECHO) program (n = 853), preschool, and school-age SRS scores were collected via maternal report when children were an average of 3.0 and 5.8?years, respectively. We compared reproducibility of SRS total scores (T-scores) and agreement above a clinically meaningful cutoff (T-scores???60) and examined predictors of discordance in cutoff scores across forms. Participant scores across forms were similar (mean difference: 3.3 points; standard deviation: 7), though preschool scores were on average lower than school-age scores. Most children (88%) were classified below the cutoff on both forms, and overall concordance was high (92%). However, discordance was higher in cohorts following younger siblings of autistic children (16%). Proportions of children with an autism diagnoses were also higher among those with discordant scores (27%) than among those with concordant scores (4%). Our findings indicate SRS scores are broadly reproducible across preschool and school-age forms, particularly for capturing broader, nonclinical traits, but also suggest that greater variability of autism-related traits in preschool-age children may reduce reliability with later school-age scores for those in the clinical range. En ligne : https://doi.org/10.1002/aur.3147 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=529

Reproducibility between preschool and school-age Social Responsiveness Scale forms in the Environmental influences on Child Health Outcomes program / Lisa A. CROEN ; Aisha S. DICKERSON ; Robert M. JOSEPH ; Jennifer L. AMES ; Christine LADD-ACOSTA ; Sally OZONOFF ; Rebecca J. SCHMIDT ; Heather E. VOLK ; Alison E. HIPWELL ; Kelsey E. MAGEE ; Margaret KARAGAS ; Cindy MCEVOY ; Rebecca LANDA ; Michael R. ELLIOTT ; Daphne Koinis MITCHELL ; Viren D'SA ; Sean DEONI ; Michelle PIEVSKY ; Pei-Chi WU ; Fatoumata BARRY ; Joseph B. STANFORD ; Deborah A. BILDER ; Leonardo TRASANDE ; Nicole R. BUSH ; Kristen LYALL ; program collaborators for Environmental influences on Child Health OUTCOMES in Autism Research, 17-6 (June 2024)  

Public ISBD [article]  inAutism Research > 17-6 (June 2024) . - p.1187-1204 Titre : Reproducibility between preschool and school-age Social Responsiveness Scale forms in the Environmental influences on Child Health Outcomes program Type de document : Texte imprimé et/ou numérique Auteurs : Lisa A. CROEN, Auteur ; Aisha S. DICKERSON, Auteur ; Robert M. JOSEPH, Auteur ; Jennifer L. AMES, Auteur ; Christine LADD-ACOSTA, Auteur ; Sally OZONOFF, Auteur ; Rebecca J. SCHMIDT, Auteur ; Heather E. VOLK, Auteur ; Alison E. HIPWELL, Auteur ; Kelsey E. MAGEE, Auteur ; Margaret KARAGAS, Auteur ; Cindy MCEVOY, Auteur ; Rebecca LANDA, Auteur ; Michael R. ELLIOTT, Auteur ; Daphne Koinis MITCHELL, Auteur ; Viren D'SA, Auteur ; Sean DEONI, Auteur ; Michelle PIEVSKY, Auteur ; Pei-Chi WU, Auteur ; Fatoumata BARRY, Auteur ; Joseph B. STANFORD, Auteur ; Deborah A. BILDER, Auteur ; Leonardo TRASANDE, Auteur ; Nicole R. BUSH, Auteur ; Kristen LYALL, Auteur ; program collaborators for Environmental influences on Child Health OUTCOMES, Auteur Article en page(s) : p.1187-1204 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Evidence suggests core autism trait consistency in older children, but development of these traits is variable in early childhood. The Social Responsiveness Scale (SRS) measures autism-related traits and broader autism phenotype, with two age-dependent forms in childhood (preschool, 2.5-4.5?years; school age, 4-18?years). Score consistency has been observed within forms, though reliability across forms has not been evaluated. Using data from the Environmental Influences on Child Health Outcomes (ECHO) program (n = 853), preschool, and school-age SRS scores were collected via maternal report when children were an average of 3.0 and 5.8?years, respectively. We compared reproducibility of SRS total scores (T-scores) and agreement above a clinically meaningful cutoff (T-scores???60) and examined predictors of discordance in cutoff scores across forms. Participant scores across forms were similar (mean difference: 3.3 points; standard deviation: 7), though preschool scores were on average lower than school-age scores. Most children (88%) were classified below the cutoff on both forms, and overall concordance was high (92%). However, discordance was higher in cohorts following younger siblings of autistic children (16%). Proportions of children with an autism diagnoses were also higher among those with discordant scores (27%) than among those with concordant scores (4%). Our findings indicate SRS scores are broadly reproducible across preschool and school-age forms, particularly for capturing broader, nonclinical traits, but also suggest that greater variability of autism-related traits in preschool-age children may reduce reliability with later school-age scores for those in the clinical range. En ligne : https://doi.org/10.1002/aur.3147 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=531 [article] Reproducibility between preschool and school-age Social Responsiveness Scale forms in the Environmental influences on Child Health Outcomes program [Texte imprimé et/ou numérique] / Lisa A. CROEN, Auteur ; Aisha S. DICKERSON, Auteur ; Robert M. JOSEPH, Auteur ; Jennifer L. AMES, Auteur ; Christine LADD-ACOSTA, Auteur ; Sally OZONOFF, Auteur ; Rebecca J. SCHMIDT, Auteur ; Heather E. VOLK, Auteur ; Alison E. HIPWELL, Auteur ; Kelsey E. MAGEE, Auteur ; Margaret KARAGAS, Auteur ; Cindy MCEVOY, Auteur ; Rebecca LANDA, Auteur ; Michael R. ELLIOTT, Auteur ; Daphne Koinis MITCHELL, Auteur ; Viren D'SA, Auteur ; Sean DEONI, Auteur ; Michelle PIEVSKY, Auteur ; Pei-Chi WU, Auteur ; Fatoumata BARRY, Auteur ; Joseph B. STANFORD, Auteur ; Deborah A. BILDER, Auteur ; Leonardo TRASANDE, Auteur ; Nicole R. BUSH, Auteur ; Kristen LYALL, Auteur ; program collaborators for Environmental influences on Child Health OUTCOMES, Auteur . - p.1187-1204. Langues : Anglais (eng) in Autism Research > 17-6 (June 2024) . - p.1187-1204 Index. décimale : PER Périodiques Résumé : Abstract Evidence suggests core autism trait consistency in older children, but development of these traits is variable in early childhood. The Social Responsiveness Scale (SRS) measures autism-related traits and broader autism phenotype, with two age-dependent forms in childhood (preschool, 2.5-4.5?years; school age, 4-18?years). Score consistency has been observed within forms, though reliability across forms has not been evaluated. Using data from the Environmental Influences on Child Health Outcomes (ECHO) program (n = 853), preschool, and school-age SRS scores were collected via maternal report when children were an average of 3.0 and 5.8?years, respectively. We compared reproducibility of SRS total scores (T-scores) and agreement above a clinically meaningful cutoff (T-scores???60) and examined predictors of discordance in cutoff scores across forms. Participant scores across forms were similar (mean difference: 3.3 points; standard deviation: 7), though preschool scores were on average lower than school-age scores. Most children (88%) were classified below the cutoff on both forms, and overall concordance was high (92%). However, discordance was higher in cohorts following younger siblings of autistic children (16%). Proportions of children with an autism diagnoses were also higher among those with discordant scores (27%) than among those with concordant scores (4%). Our findings indicate SRS scores are broadly reproducible across preschool and school-age forms, particularly for capturing broader, nonclinical traits, but also suggest that greater variability of autism-related traits in preschool-age children may reduce reliability with later school-age scores for those in the clinical range. En ligne : https://doi.org/10.1002/aur.3147 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=531

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