Correction: Self-reported Everyday Sources of Happiness and Unhappiness in Autistic Adults / China I. PARENTEAU ; Linnea L. LAMPINEN ; Sheila S. GHODS ; Julie Lounds TAYLOR ; Ryan E. ADAMS ; Somer L. BISHOP ; Shuting ZHENG in Journal of Autism and Developmental Disorders, 53-6 (June 2023)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 53-6 (June 2023) . - p.2549-2552 Titre : Correction: Self-reported Everyday Sources of Happiness and Unhappiness in Autistic Adults : Journal of Autism and Developmental Disorders Type de document : texte imprimé Auteurs : China I. PARENTEAU, Auteur ; Linnea L. LAMPINEN, Auteur ; Sheila S. GHODS, Auteur ; Julie Lounds TAYLOR, Auteur ; Ryan E. ADAMS, Auteur ; Somer L. BISHOP, Auteur ; Shuting ZHENG, Auteur Article en page(s) : p.2549-2552 Langues : Anglais (eng) Index. décimale : PER Périodiques En ligne : https://doi.org/10.1007/s10803-023-05947-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=506 [article] Correction: Self-reported Everyday Sources of Happiness and Unhappiness in Autistic Adults : Journal of Autism and Developmental Disorders [texte imprimé] / China I. PARENTEAU, Auteur ; Linnea L. LAMPINEN, Auteur ; Sheila S. GHODS, Auteur ; Julie Lounds TAYLOR, Auteur ; Ryan E. ADAMS, Auteur ; Somer L. BISHOP, Auteur ; Shuting ZHENG, Auteur . - p.2549-2552. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 53-6 (June 2023) . - p.2549-2552 Index. décimale : PER Périodiques En ligne : https://doi.org/10.1007/s10803-023-05947-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=506

DSM-5 based algorithms for the Autism Diagnostic Interview-Revised for children ages 4-17?years / Linnea A. LAMPINEN in Journal of Child Psychology and Psychiatry, 66-9 (September 2025)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 66-9 (September 2025) . - p.1403-1413 Titre : DSM-5 based algorithms for the Autism Diagnostic Interview-Revised for children ages 4-17?years Type de document : texte imprimé Auteurs : Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Lindsay OLSON, Auteur ; Vanessa H. BAL, Auteur ; Audrey E. THURM, Auteur ; Amy N. ESLER, Auteur ; Stephen M. KANNE, Auteur ; So Hyun KIM, Auteur ; Catherine LORD, Auteur ; China I. PARENTEAU, Auteur ; Kerri P. NOWELL, Auteur ; Jane E. ROBERTS, Auteur ; Nicole TAKAHASHI, Auteur ; Somer L. BISHOP, Auteur Article en page(s) : p.1403-1413 Langues : Anglais (eng) Mots-clés : Autism  autism spectrum disorder  ADI-R  diagnosis  sensitivity  specificity  diagnostic instruments Index. décimale : PER Périodiques Résumé : Background The Autism Diagnostic Interview, Revised (ADI-R) is a caregiver interview that is widely used as part of the diagnostic assessment for Autism Spectrum Disorder (ASD). Few large-scale studies have reported the sensitivity and specificity of the ADI-R algorithms, which are based on DSM-IV Autistic Disorder criteria. Kim and Lord (Journal of Autism and Developmental Disorders, 2012, 42, 82) developed revised DSM-5-based toddler algorithms, which are only applicable to children under 4 years. The current study developed DSM-5-based algorithms for children ages 4 17 years and examined their performance compared to clinical diagnosis and to the original DSM-IV-based algorithms. Methods Participants included 2,905 cases (2,144 ASD, 761 non-ASD) from clinical-research databanks. Children were clinically referred for ASD-related concerns or recruited for ASD-focused research projects, and their caregivers completed the ADI-R as part of a comprehensive diagnostic assessment. Items relevant to DSM-5 ASD criteria were selected for the new algorithms primarily based on their ability to discriminate ASD from non-ASD cases. Algorithms were created for individuals with and without reported use of phrase speech. Confirmatory factor analysis tested the fit of a DSM-5-based two-factor structure. ROC curve analyses examined the diagnostic accuracy of the revised algorithms compared to clinical diagnosis. Results The two-factor structure of the revised ADI-R algorithms showed adequate fit. Sensitivity of the original ADI-R algorithm ranged from 74% to 96%, and specificity ranged from 38% to 83%. The revised DSM-5-based algorithms performed similarly or better, with sensitivity ranging from 77% to 99% and specificity ranging from 71% to 92%. Conclusions In this large sample aggregated from US clinical-research sites, the original ADI-R algorithm showed adequate diagnostic validity, with poorer specificity among individuals without phrase speech. The revised DSM-5-based algorithms introduced here performed comparably to the original algorithms, with improved specificity in individuals without phrase speech. These revised algorithms offer an alternative method for summarizing ASD symptoms in a DSM-5-compatible manner. En ligne : https://doi.org/10.1111/jcpp.14159 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=566 [article] DSM-5 based algorithms for the Autism Diagnostic Interview-Revised for children ages 4-17?years [texte imprimé] / Linnea A. LAMPINEN, Auteur ; Shuting ZHENG, Auteur ; Lindsay OLSON, Auteur ; Vanessa H. BAL, Auteur ; Audrey E. THURM, Auteur ; Amy N. ESLER, Auteur ; Stephen M. KANNE, Auteur ; So Hyun KIM, Auteur ; Catherine LORD, Auteur ; China I. PARENTEAU, Auteur ; Kerri P. NOWELL, Auteur ; Jane E. ROBERTS, Auteur ; Nicole TAKAHASHI, Auteur ; Somer L. BISHOP, Auteur . - p.1403-1413. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 66-9 (September 2025) . - p.1403-1413 Mots-clés : Autism  autism spectrum disorder  ADI-R  diagnosis  sensitivity  specificity  diagnostic instruments Index. décimale : PER Périodiques Résumé : Background The Autism Diagnostic Interview, Revised (ADI-R) is a caregiver interview that is widely used as part of the diagnostic assessment for Autism Spectrum Disorder (ASD). Few large-scale studies have reported the sensitivity and specificity of the ADI-R algorithms, which are based on DSM-IV Autistic Disorder criteria. Kim and Lord (Journal of Autism and Developmental Disorders, 2012, 42, 82) developed revised DSM-5-based toddler algorithms, which are only applicable to children under 4 years. The current study developed DSM-5-based algorithms for children ages 4 17 years and examined their performance compared to clinical diagnosis and to the original DSM-IV-based algorithms. Methods Participants included 2,905 cases (2,144 ASD, 761 non-ASD) from clinical-research databanks. Children were clinically referred for ASD-related concerns or recruited for ASD-focused research projects, and their caregivers completed the ADI-R as part of a comprehensive diagnostic assessment. Items relevant to DSM-5 ASD criteria were selected for the new algorithms primarily based on their ability to discriminate ASD from non-ASD cases. Algorithms were created for individuals with and without reported use of phrase speech. Confirmatory factor analysis tested the fit of a DSM-5-based two-factor structure. ROC curve analyses examined the diagnostic accuracy of the revised algorithms compared to clinical diagnosis. Results The two-factor structure of the revised ADI-R algorithms showed adequate fit. Sensitivity of the original ADI-R algorithm ranged from 74% to 96%, and specificity ranged from 38% to 83%. The revised DSM-5-based algorithms performed similarly or better, with sensitivity ranging from 77% to 99% and specificity ranging from 71% to 92%. Conclusions In this large sample aggregated from US clinical-research sites, the original ADI-R algorithm showed adequate diagnostic validity, with poorer specificity among individuals without phrase speech. The revised DSM-5-based algorithms introduced here performed comparably to the original algorithms, with improved specificity in individuals without phrase speech. These revised algorithms offer an alternative method for summarizing ASD symptoms in a DSM-5-compatible manner. En ligne : https://doi.org/10.1111/jcpp.14159 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=566

Self-reported Everyday Sources of Happiness and Unhappiness in Autistic Adults / China I. PARENTEAU in Journal of Autism and Developmental Disorders, 54-4 (April 2024)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 54-4 (April 2024) . - p.1538-1548 Titre : Self-reported Everyday Sources of Happiness and Unhappiness in Autistic Adults Type de document : texte imprimé Auteurs : China I. PARENTEAU, Auteur ; Linnea A. LAMPINEN, Auteur ; Sheila S. GHODS, Auteur ; Julie Lounds TAYLOR, Auteur ; Ryan E. ADAMS, Auteur ; Somer L. BISHOP, Auteur ; Shuting ZHENG, Auteur Article en page(s) : p.1538-1548 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Purpose: Daily mood can be influenced by a range of experiences. Identifying everyday life experiences that make autistic adults happy and unhappy holds potential to foster positive mood and tackle mental health problems amongst this group. Methods: A total of 293 autistic adults between the ages of 18 to 35 years old (mean age of 26.51 years old (SD = 4.62); 43.3% female gender, 4.8% nonbinary) provided open-text responses regarding everyday sources of happiness and unhappiness. Using an iterative process of inductive coding, 14 happy themes and 22 unhappy themes of mood-changing life experiences were identified based on self-report qualitative data. Results: Common themes across the happy and unhappy domain involved social partners, social interactions, and engagement in recreational and employment activities, with additional distinct themes specific to happy or unhappy mood. Top themes identified in the happy domain emphasizes encouraging quality relationships and positive interactions with others and cultivating supportive work/societal environments to build a sense of achievement and value. Meanwhile, emotional tolls accompanied negative relationships and interactions, underscoring the necessity to provide autistic adults with conflict resolution and coping skills to increase feelings of happiness. Conclusion: Overall, the wide range of sources of happy and unhappy everyday experiences highlights the importance of considering personal preferences in engagement with others and activities in treatment. En ligne : https://doi.org/10.1007/s10803-023-05892-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=526 [article] Self-reported Everyday Sources of Happiness and Unhappiness in Autistic Adults [texte imprimé] / China I. PARENTEAU, Auteur ; Linnea A. LAMPINEN, Auteur ; Sheila S. GHODS, Auteur ; Julie Lounds TAYLOR, Auteur ; Ryan E. ADAMS, Auteur ; Somer L. BISHOP, Auteur ; Shuting ZHENG, Auteur . - p.1538-1548. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 54-4 (April 2024) . - p.1538-1548 Index. décimale : PER Périodiques Résumé : Purpose: Daily mood can be influenced by a range of experiences. Identifying everyday life experiences that make autistic adults happy and unhappy holds potential to foster positive mood and tackle mental health problems amongst this group. Methods: A total of 293 autistic adults between the ages of 18 to 35 years old (mean age of 26.51 years old (SD = 4.62); 43.3% female gender, 4.8% nonbinary) provided open-text responses regarding everyday sources of happiness and unhappiness. Using an iterative process of inductive coding, 14 happy themes and 22 unhappy themes of mood-changing life experiences were identified based on self-report qualitative data. Results: Common themes across the happy and unhappy domain involved social partners, social interactions, and engagement in recreational and employment activities, with additional distinct themes specific to happy or unhappy mood. Top themes identified in the happy domain emphasizes encouraging quality relationships and positive interactions with others and cultivating supportive work/societal environments to build a sense of achievement and value. Meanwhile, emotional tolls accompanied negative relationships and interactions, underscoring the necessity to provide autistic adults with conflict resolution and coping skills to increase feelings of happiness. Conclusion: Overall, the wide range of sources of happy and unhappy everyday experiences highlights the importance of considering personal preferences in engagement with others and activities in treatment. En ligne : https://doi.org/10.1007/s10803-023-05892-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=526

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