176 recherche sur le mot-clé 'Autism Spectrum Disorder/diagnosis'

Examining factors related to the age of diagnosis of children with autism spectrum disorder from immigrant and non-immigrant backgrounds in a diverse clinical sample / S. B. VANEGAS in Autism Research, 14-6 (June 2021)  

Public ISBD [article]  inAutism Research > 14-6 (June 2021) . - p.1260-1270 Titre : Examining factors related to the age of diagnosis of children with autism spectrum disorder from immigrant and non-immigrant backgrounds in a diverse clinical sample Type de document : Texte imprimé et/ou numérique Auteurs : S. B. VANEGAS, Auteur Article en page(s) : p.1260-1270 Langues : Anglais (eng) Mots-clés : Aged  Autism Spectrum Disorder/diagnosis  Child  Emigrants and Immigrants  Ethnicity  Female  Humans  Minority Groups  Prevalence  Retrospective Studies  autism  diagnosis  immigration  multilingual  racial/ethnic minority Index. décimale : PER Périodiques Résumé : A timely diagnosis of autism spectrum disorder (ASD) is important for children as that may help inform the best services and supports needed for optimal outcomes. However, disparities in the identification of ASD have been consistently documented for racial/ethnic minority and immigrant populations. The majority of studies of immigrant populations have focused on the qualitative experience of ASD, however, greater knowledge about the predictors of the age of initial ASD diagnosis is needed. This study examined the child, maternal, and family-level factors that predicted the age of initial ASD diagnosis in a diverse clinical sample through a retrospective medical record review. Medical records of clinical evaluations conducted between 2004 and 2014 were reviewed for children with ASD born to immigrant and non-immigrant mothers. Regression analyses found that for both groups of children with ASD, using verbal language to communicate and having another diagnosis (attention-deficit/hyperactivity disorder or another condition) predicted an older age of initial ASD diagnosis. For children with ASD born to immigrant mothers, residing in a multilingual household was associated with a younger age of diagnosis. These results highlight the complexities of an ASD diagnosis among diverse children and families, particularly among immigrant communities. LAY SUMMARY: This research looked at predictors of when children received their first autism spectrum disorder diagnosis across children born to immigrant mothers and children born to U.S.-born mothers. Living in a multilingual home was related to a younger age of diagnosis for children of immigrant mothers; being verbal and having another diagnosis was related to an older age of diagnosis for both groups of children. This highlights the need to improve diagnostic services for diverse children. En ligne : http://dx.doi.org/10.1002/aur.2489 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449 [article] Examining factors related to the age of diagnosis of children with autism spectrum disorder from immigrant and non-immigrant backgrounds in a diverse clinical sample [Texte imprimé et/ou numérique] / S. B. VANEGAS, Auteur . - p.1260-1270. Langues : Anglais (eng) in Autism Research > 14-6 (June 2021) . - p.1260-1270 Mots-clés : Aged  Autism Spectrum Disorder/diagnosis  Child  Emigrants and Immigrants  Ethnicity  Female  Humans  Minority Groups  Prevalence  Retrospective Studies  autism  diagnosis  immigration  multilingual  racial/ethnic minority Index. décimale : PER Périodiques Résumé : A timely diagnosis of autism spectrum disorder (ASD) is important for children as that may help inform the best services and supports needed for optimal outcomes. However, disparities in the identification of ASD have been consistently documented for racial/ethnic minority and immigrant populations. The majority of studies of immigrant populations have focused on the qualitative experience of ASD, however, greater knowledge about the predictors of the age of initial ASD diagnosis is needed. This study examined the child, maternal, and family-level factors that predicted the age of initial ASD diagnosis in a diverse clinical sample through a retrospective medical record review. Medical records of clinical evaluations conducted between 2004 and 2014 were reviewed for children with ASD born to immigrant and non-immigrant mothers. Regression analyses found that for both groups of children with ASD, using verbal language to communicate and having another diagnosis (attention-deficit/hyperactivity disorder or another condition) predicted an older age of initial ASD diagnosis. For children with ASD born to immigrant mothers, residing in a multilingual household was associated with a younger age of diagnosis. These results highlight the complexities of an ASD diagnosis among diverse children and families, particularly among immigrant communities. LAY SUMMARY: This research looked at predictors of when children received their first autism spectrum disorder diagnosis across children born to immigrant mothers and children born to U.S.-born mothers. Living in a multilingual home was related to a younger age of diagnosis for children of immigrant mothers; being verbal and having another diagnosis was related to an older age of diagnosis for both groups of children. This highlights the need to improve diagnostic services for diverse children. En ligne : http://dx.doi.org/10.1002/aur.2489 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=449

Eye gaze as a biomarker in the recognition of autism spectrum disorder using virtual reality and machine learning: A proof of concept for diagnosis / M. ALCAÑIZ in Autism Research, 15-1 (January 2022)  

Public ISBD [article]  inAutism Research > 15-1 (January 2022) . - p.131-145 Titre : Eye gaze as a biomarker in the recognition of autism spectrum disorder using virtual reality and machine learning: A proof of concept for diagnosis Type de document : Texte imprimé et/ou numérique Auteurs : M. ALCAÑIZ, Auteur ; I. A. CHICCHI-GIGLIOLI, Auteur ; L. A. CARRASCO-RIBELLES, Auteur ; J. MARÍN-MORALES, Auteur ; M. E. MINISSI, Auteur ; G. TERUEL-GARCÍA, Auteur ; M. SIRERA, Auteur ; L. ABAD, Auteur Article en page(s) : p.131-145 Langues : Anglais (eng) Mots-clés : Adult  Autism Spectrum Disorder/diagnosis  Biomarkers  Child  Fixation, Ocular  Humans  Machine Learning  Virtual Reality  autism spectrum disorder  behavioral biomarker  eye tracking  machine learning  multivariate supervised learning Index. décimale : PER Périodiques Résumé : The core symptoms of autism spectrum disorder (ASD) mainly relate to social communication and interactions. ASD assessment involves expert observations in neutral settings, which introduces limitations and biases related to lack of objectivity and does not capture performance in real-world settings. To overcome these limitations, advances in technologies (e.g., virtual reality) and sensors (e.g., eye-tracking tools) have been used to create realistic simulated environments and track eye movements, enriching assessments with more objective data than can be obtained via traditional measures. This study aimed to distinguish between autistic and typically developing children using visual attention behaviors through an eye-tracking paradigm in a virtual environment as a measure of attunement to and extraction of socially relevant information. The 55 children participated. Autistic children presented a higher number of frames, both overall and per scenario, and showed higher visual preferences for adults over children, as well as specific preferences for adults' rather than children's faces on which looked more at bodies. A set of multivariate supervised machine learning models were developed using recursive feature selection to recognize ASD based on extracted eye gaze features. The models achieved up to 86% accuracy (sensitivity = 91%) in recognizing autistic children. Our results should be taken as preliminary due to the relatively small sample size and the lack of an external replication dataset. However, to our knowledge, this constitutes a first proof of concept in the combined use of virtual reality, eye-tracking tools, and machine learning for ASD recognition. LAY SUMMARY: Core symptoms in children with ASD involve social communication and interaction. ASD assessment includes expert observations in neutral settings, which show limitations and biases related to lack of objectivity and do not capture performance in real settings. To overcome these limitations, this work aimed to distinguish between autistic and typically developing children in visual attention behaviors through an eye-tracking paradigm in a virtual environment as a measure of attunement to, and extraction of, socially relevant information. En ligne : http://dx.doi.org/10.1002/aur.2636 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450 [article] Eye gaze as a biomarker in the recognition of autism spectrum disorder using virtual reality and machine learning: A proof of concept for diagnosis [Texte imprimé et/ou numérique] / M. ALCAÑIZ, Auteur ; I. A. CHICCHI-GIGLIOLI, Auteur ; L. A. CARRASCO-RIBELLES, Auteur ; J. MARÍN-MORALES, Auteur ; M. E. MINISSI, Auteur ; G. TERUEL-GARCÍA, Auteur ; M. SIRERA, Auteur ; L. ABAD, Auteur . - p.131-145. Langues : Anglais (eng) in Autism Research > 15-1 (January 2022) . - p.131-145 Mots-clés : Adult  Autism Spectrum Disorder/diagnosis  Biomarkers  Child  Fixation, Ocular  Humans  Machine Learning  Virtual Reality  autism spectrum disorder  behavioral biomarker  eye tracking  machine learning  multivariate supervised learning Index. décimale : PER Périodiques Résumé : The core symptoms of autism spectrum disorder (ASD) mainly relate to social communication and interactions. ASD assessment involves expert observations in neutral settings, which introduces limitations and biases related to lack of objectivity and does not capture performance in real-world settings. To overcome these limitations, advances in technologies (e.g., virtual reality) and sensors (e.g., eye-tracking tools) have been used to create realistic simulated environments and track eye movements, enriching assessments with more objective data than can be obtained via traditional measures. This study aimed to distinguish between autistic and typically developing children using visual attention behaviors through an eye-tracking paradigm in a virtual environment as a measure of attunement to and extraction of socially relevant information. The 55 children participated. Autistic children presented a higher number of frames, both overall and per scenario, and showed higher visual preferences for adults over children, as well as specific preferences for adults' rather than children's faces on which looked more at bodies. A set of multivariate supervised machine learning models were developed using recursive feature selection to recognize ASD based on extracted eye gaze features. The models achieved up to 86% accuracy (sensitivity = 91%) in recognizing autistic children. Our results should be taken as preliminary due to the relatively small sample size and the lack of an external replication dataset. However, to our knowledge, this constitutes a first proof of concept in the combined use of virtual reality, eye-tracking tools, and machine learning for ASD recognition. LAY SUMMARY: Core symptoms in children with ASD involve social communication and interaction. ASD assessment includes expert observations in neutral settings, which show limitations and biases related to lack of objectivity and do not capture performance in real settings. To overcome these limitations, this work aimed to distinguish between autistic and typically developing children in visual attention behaviors through an eye-tracking paradigm in a virtual environment as a measure of attunement to, and extraction of, socially relevant information. En ligne : http://dx.doi.org/10.1002/aur.2636 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=450

Factors Associated with a Delayed Autism Spectrum Disorder Diagnosis in Children Previously Assessed on Suspicion of Autism / Sara Højslev AVLUND in Journal of Autism and Developmental Disorders, 51-11 (November 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-11 (November 2021) . - p.3843-3856 Titre : Factors Associated with a Delayed Autism Spectrum Disorder Diagnosis in Children Previously Assessed on Suspicion of Autism Type de document : Texte imprimé et/ou numérique Auteurs : Sara Højslev AVLUND, Auteur ; P. H. THOMSEN, Auteur ; Diana SCHENDEL, Auteur ; M. JØRGENSEN, Auteur ; A. H. CARLSEN, Auteur ; L. CLAUSEN, Auteur Article en page(s) : p.3843-3856 Langues : Anglais (eng) Mots-clés : Affect  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Child  Early Diagnosis  Humans  Parents  Ados  Age at diagnosis  Autism spectrum disorder  Delayed diagnosis Index. décimale : PER Périodiques Résumé : This study aimed to investigate factors associated with a delayed autism spectrum (ASD) diagnosis when compared to children with either no or early ASD diagnosis. Among 893 children assessed for ASD before age 8, 39% had no ASD at baseline, of which 21% received a later ASD diagnosis. Autism symptoms, diagnostic history of other developmental disorders, cognitive ability, and socioeconomic factors were associated with delayed ASD. Autism Diagnostic Observation Schedule (ADOS) scores in delayed ASD fell between early and no ASD. Other developmental disorders, time and clinical trends like ADOS use and low parental education distinguished delayed and early ASD, whereas higher frequency of IQ? En ligne : http://dx.doi.org/10.1007/s10803-020-04849-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453 [article] Factors Associated with a Delayed Autism Spectrum Disorder Diagnosis in Children Previously Assessed on Suspicion of Autism [Texte imprimé et/ou numérique] / Sara Højslev AVLUND, Auteur ; P. H. THOMSEN, Auteur ; Diana SCHENDEL, Auteur ; M. JØRGENSEN, Auteur ; A. H. CARLSEN, Auteur ; L. CLAUSEN, Auteur . - p.3843-3856. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-11 (November 2021) . - p.3843-3856 Mots-clés : Affect  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Child  Early Diagnosis  Humans  Parents  Ados  Age at diagnosis  Autism spectrum disorder  Delayed diagnosis Index. décimale : PER Périodiques Résumé : This study aimed to investigate factors associated with a delayed autism spectrum (ASD) diagnosis when compared to children with either no or early ASD diagnosis. Among 893 children assessed for ASD before age 8, 39% had no ASD at baseline, of which 21% received a later ASD diagnosis. Autism symptoms, diagnostic history of other developmental disorders, cognitive ability, and socioeconomic factors were associated with delayed ASD. Autism Diagnostic Observation Schedule (ADOS) scores in delayed ASD fell between early and no ASD. Other developmental disorders, time and clinical trends like ADOS use and low parental education distinguished delayed and early ASD, whereas higher frequency of IQ? En ligne : http://dx.doi.org/10.1007/s10803-020-04849-x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=453

Improving Early Identification and Access to Diagnosis of Autism Spectrum Disorder in Toddlers in a Culturally Diverse Community with the Rapid Interactive screening Test for Autism in Toddlers / R. CHOUEIRI in Journal of Autism and Developmental Disorders, 51-11 (November 2021)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 51-11 (November 2021) . - p.3937-3945 Titre : Improving Early Identification and Access to Diagnosis of Autism Spectrum Disorder in Toddlers in a Culturally Diverse Community with the Rapid Interactive screening Test for Autism in Toddlers Type de document : Texte imprimé et/ou numérique Auteurs : R. CHOUEIRI, Auteur ; A. LINDENBAUM, Auteur ; M. RAVI, Auteur ; W. ROBSKY, Auteur ; J. FLAHIVE, Auteur ; W. GARRISON, Auteur Article en page(s) : p.3937-3945 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Checklist  Child, Preschool  Humans  Infant  Mass Screening  Access  Autism  Community  Cultural diversity  Early intervention  Interactive  RITA-T (Rapid Interactive Screening Test of Autism in Toddlers)  Screening  Toddlers  Underserved  screening Test for Autism in Toddlers (RITA-T) with a collaboration with Early  Intervention (EI) to improve early identification and access of toddlers to  diagnosis and thus to treatment. We have since then replicated this work to other EI  Programs and further developed the model. This work was presented as a poster at the  International Meeting for Autism Research in Montreal (2019), and in RITA-T training  workshops locally, in the US or internationally. All authors have reviewed the  manuscript and agree to its contents. All authors, except Dr.Choueiri, do not report  any conflict of interest with respect to the material. Index. décimale : PER Périodiques Résumé : The objective of this study was to test a screening model that employs the Rapid Interactive Screening Test for Autism in Toddlers (RITA-T), in an underserved community to improve ASD detection. We collaborated with a large Early Intervention (EI) program and trained 4 providers reliably on the RITA-T. Toddlers received the Modified Checklist for Autism in Toddlers (MCHAT-R/F), the RITA-T, developmental and autism testing, and a best-estimate clinical diagnosis. Eighty-One toddlers were enrolled: 57 with ASD and 24 with Developmental Delay (DD) non-ASD. Wait-time for diagnosis was on average 6 weeks. The RITA-T correlated highly with autism measures and EI staff integrated this model easily. The RITA-T significantly improved the identification and wait time for ASD in this underserved community. En ligne : http://dx.doi.org/10.1007/s10803-020-04851-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=454 [article] Improving Early Identification and Access to Diagnosis of Autism Spectrum Disorder in Toddlers in a Culturally Diverse Community with the Rapid Interactive screening Test for Autism in Toddlers [Texte imprimé et/ou numérique] / R. CHOUEIRI, Auteur ; A. LINDENBAUM, Auteur ; M. RAVI, Auteur ; W. ROBSKY, Auteur ; J. FLAHIVE, Auteur ; W. GARRISON, Auteur . - p.3937-3945. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 51-11 (November 2021) . - p.3937-3945 Mots-clés : Autism Spectrum Disorder/diagnosis  Autistic Disorder  Checklist  Child, Preschool  Humans  Infant  Mass Screening  Access  Autism  Community  Cultural diversity  Early intervention  Interactive  RITA-T (Rapid Interactive Screening Test of Autism in Toddlers)  Screening  Toddlers  Underserved  screening Test for Autism in Toddlers (RITA-T) with a collaboration with Early  Intervention (EI) to improve early identification and access of toddlers to  diagnosis and thus to treatment. We have since then replicated this work to other EI  Programs and further developed the model. This work was presented as a poster at the  International Meeting for Autism Research in Montreal (2019), and in RITA-T training  workshops locally, in the US or internationally. All authors have reviewed the  manuscript and agree to its contents. All authors, except Dr.Choueiri, do not report  any conflict of interest with respect to the material. Index. décimale : PER Périodiques Résumé : The objective of this study was to test a screening model that employs the Rapid Interactive Screening Test for Autism in Toddlers (RITA-T), in an underserved community to improve ASD detection. We collaborated with a large Early Intervention (EI) program and trained 4 providers reliably on the RITA-T. Toddlers received the Modified Checklist for Autism in Toddlers (MCHAT-R/F), the RITA-T, developmental and autism testing, and a best-estimate clinical diagnosis. Eighty-One toddlers were enrolled: 57 with ASD and 24 with Developmental Delay (DD) non-ASD. Wait-time for diagnosis was on average 6 weeks. The RITA-T correlated highly with autism measures and EI staff integrated this model easily. The RITA-T significantly improved the identification and wait time for ASD in this underserved community. En ligne : http://dx.doi.org/10.1007/s10803-020-04851-3 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=454

Parental relationship status and age at autism spectrum disorder diagnosis of their child / L. G. KALB in Autism, 25-8 (November 2021)  

Public ISBD [article]  inAutism > 25-8 (November 2021) . - p.2189-2198 Titre : Parental relationship status and age at autism spectrum disorder diagnosis of their child Type de document : Texte imprimé et/ou numérique Auteurs : L. G. KALB, Auteur ; C. HOLINGUE, Auteur ; D. PFEIFFER, Auteur ; R. REETZKE, Auteur ; E. DILLON, Auteur ; Gazi F. AZAD, Auteur ; B. FREEDMAN, Auteur ; R. LANDA, Auteur Article en page(s) : p.2189-2198 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Child  Family  Humans  Parents  United States  autism spectrum disorders  diagnosis  family functioning and support  of interest with respect to the research, authorship and/or publication of this  article. Conflict of interest: The authors have indicated they have no potential  conflicts of interest to disclose. Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) can be diagnosed as early as 18?months of age. However, the average age at diagnosis in the United States is over 2 years later. A lot has been written about the many barriers families face when seeking a diagnosis for their child. One area of research that has received no attention is whether separation between a child's biological parents affects the age at which a child is diagnosed with ASD. This study was conducted among 561 children who were receiving an ASD diagnosis for the first time. On average, these children were 5?years of age. The study took place in an urban, outpatient specialty autism clinic in the United States. Biological parents self-reported their relationship status during the evaluation. This was categorized as either "together" (married or living together but not married) or "not together" (separated, divorced, or never married). At the time of diagnosis, most children's biological parents were together (69%). We found children of parents who were together were diagnosed 1.4?years earlier than those who were not together. These findings have important implications for providing support to families that separate early in a child's life, with the goal of reducing the age at ASD evaluation among single parents and those who have been separated from their child's other biological parent. Providing support to these families is important since earlier age at diagnosis leads to earlier intervention, which can improve long-term outcomes for the child, family, and community as a whole. En ligne : http://dx.doi.org/10.1177/13623613211013683 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=451 [article] Parental relationship status and age at autism spectrum disorder diagnosis of their child [Texte imprimé et/ou numérique] / L. G. KALB, Auteur ; C. HOLINGUE, Auteur ; D. PFEIFFER, Auteur ; R. REETZKE, Auteur ; E. DILLON, Auteur ; Gazi F. AZAD, Auteur ; B. FREEDMAN, Auteur ; R. LANDA, Auteur . - p.2189-2198. Langues : Anglais (eng) in Autism > 25-8 (November 2021) . - p.2189-2198 Mots-clés : Autism Spectrum Disorder/diagnosis  Child  Family  Humans  Parents  United States  autism spectrum disorders  diagnosis  family functioning and support  of interest with respect to the research, authorship and/or publication of this  article. Conflict of interest: The authors have indicated they have no potential  conflicts of interest to disclose. Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) can be diagnosed as early as 18?months of age. However, the average age at diagnosis in the United States is over 2 years later. A lot has been written about the many barriers families face when seeking a diagnosis for their child. One area of research that has received no attention is whether separation between a child's biological parents affects the age at which a child is diagnosed with ASD. This study was conducted among 561 children who were receiving an ASD diagnosis for the first time. On average, these children were 5?years of age. The study took place in an urban, outpatient specialty autism clinic in the United States. Biological parents self-reported their relationship status during the evaluation. This was categorized as either "together" (married or living together but not married) or "not together" (separated, divorced, or never married). At the time of diagnosis, most children's biological parents were together (69%). We found children of parents who were together were diagnosed 1.4?years earlier than those who were not together. These findings have important implications for providing support to families that separate early in a child's life, with the goal of reducing the age at ASD evaluation among single parents and those who have been separated from their child's other biological parent. Providing support to these families is important since earlier age at diagnosis leads to earlier intervention, which can improve long-term outcomes for the child, family, and community as a whole. En ligne : http://dx.doi.org/10.1177/13623613211013683 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=451

Salivary testosterone in male and female youth with and without autism spectrum disorder: considerations of development, sex, and diagnosis / Rachael A. MUSCATELLO in Molecular Autism, 13 (2022)  

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The untold perspective: Parents' experiences of the autism spectrum disorder assessment process when the child did not receive a diagnosis / L. A. BENDIK in Autism, 25-6 (August 2021)  

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The untold perspective: Parents' experiences of the autism spectrum disorder assessment process when the child did not receive a diagnosis / Lesley-Anne BENDIK in Autism, 26-6 (August 2022)  

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Assessment of the Autism Spectrum Disorder Based on Machine Learning and Social Visual Attention: A Systematic Review / Maria Eleonora MINISSI in Journal of Autism and Developmental Disorders, 52-5 (May 2022)  

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Autism spectrum disorder: An examination of sex differences in neuropsychological and self-report measures of executive and non-executive cognitive function / Eleni A. DEMETRIOU in Autism, 25-8 (November 2021)  

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