Examining criterion-oriented validity of the Repetitive Behavior Scales for Early Childhood (RBS-EC) and the Video-Referenced Rating of Reciprocal Social Behavior (vrRSB) / Carolyn LASCH in Development and Psychopathology, 32-3 (August 2020)  

Public ISBD [article]  inDevelopment and Psychopathology > 32-3 (August 2020) . - p.779-789 Titre : Examining criterion-oriented validity of the Repetitive Behavior Scales for Early Childhood (RBS-EC) and the Video-Referenced Rating of Reciprocal Social Behavior (vrRSB) Type de document : texte imprimé Auteurs : Carolyn LASCH, Auteur ; Jason J. WOLFF, Auteur ; Jed T. ELISON, Auteur Article en page(s) : p.779-789 Langues : Anglais (eng) Mots-clés : Rbs-ec  autism  criterion validity  reciprocal social behavior  repetitive behavior  vrRSB Index. décimale : PER Périodiques Résumé : Improved characterization of quantitative traits and dimensionally distributed complex behaviors during toddlerhood may improve early identification of autism spectrum disorder and related neurodevelopmental disorders. Parents of 205 community-ascertained toddlers (age: mean = 20.2, SD = 2.6 months) completed the Repetitive Behavior Scales for Early Childhood (RBS-EC) and the Video-Referenced Rating of Reciprocal Social Behavior (vrRSB), with longitudinal follow-up of behavioral assessments and/or another round of parent-report questionnaires. Criterion validity was examined both concurrently and longitudinally using the Infant Toddler Social Emotional Assessment (ITSEA) as a criterion anchor. Reciprocal social behavior as measured by the vrRSB was significantly associated with social competence as measured by the ITSEA, longitudinally and concurrently. Reciprocal social behavior was not associated with the externalizing subscale on the ITSEA, providing evidence of discriminant validity. Higher-order repetitive behaviors (restricted interests; rituals and routines) as measured by RBS-EC subscales were associated with the dysregulation and internalizing subscales of the ITSEA, longitudinally and concurrently. All RBS-EC subscales (excepting repetitive motor) were associated concurrently and longitudinally with the dysregulation subscale of the ITSEA. We report evidence of criterion-oriented and discriminant validity for the constructs/domains captured by the RBS-EC and vrRSB. These instruments may be particularly useful in characterizing dimensional variability across the typical-to-atypical continuum. En ligne : http://dx.doi.org/10.1017/s0954579419001159 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=429 [article] Examining criterion-oriented validity of the Repetitive Behavior Scales for Early Childhood (RBS-EC) and the Video-Referenced Rating of Reciprocal Social Behavior (vrRSB) [texte imprimé] / Carolyn LASCH, Auteur ; Jason J. WOLFF, Auteur ; Jed T. ELISON, Auteur . - p.779-789. Langues : Anglais (eng) in Development and Psychopathology > 32-3 (August 2020) . - p.779-789 Mots-clés : Rbs-ec  autism  criterion validity  reciprocal social behavior  repetitive behavior  vrRSB Index. décimale : PER Périodiques Résumé : Improved characterization of quantitative traits and dimensionally distributed complex behaviors during toddlerhood may improve early identification of autism spectrum disorder and related neurodevelopmental disorders. Parents of 205 community-ascertained toddlers (age: mean = 20.2, SD = 2.6 months) completed the Repetitive Behavior Scales for Early Childhood (RBS-EC) and the Video-Referenced Rating of Reciprocal Social Behavior (vrRSB), with longitudinal follow-up of behavioral assessments and/or another round of parent-report questionnaires. Criterion validity was examined both concurrently and longitudinally using the Infant Toddler Social Emotional Assessment (ITSEA) as a criterion anchor. Reciprocal social behavior as measured by the vrRSB was significantly associated with social competence as measured by the ITSEA, longitudinally and concurrently. Reciprocal social behavior was not associated with the externalizing subscale on the ITSEA, providing evidence of discriminant validity. Higher-order repetitive behaviors (restricted interests; rituals and routines) as measured by RBS-EC subscales were associated with the dysregulation and internalizing subscales of the ITSEA, longitudinally and concurrently. All RBS-EC subscales (excepting repetitive motor) were associated concurrently and longitudinally with the dysregulation subscale of the ITSEA. We report evidence of criterion-oriented and discriminant validity for the constructs/domains captured by the RBS-EC and vrRSB. These instruments may be particularly useful in characterizing dimensional variability across the typical-to-atypical continuum. En ligne : http://dx.doi.org/10.1017/s0954579419001159 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=429

Phenoscreening: a developmental approach to research domain criteria-motivated sampling / Colleen M. DOYLE in Journal of Child Psychology and Psychiatry, 62-7 (July 2021)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 62-7 (July 2021) . - p.884-894 Titre : Phenoscreening: a developmental approach to research domain criteria-motivated sampling Type de document : texte imprimé Auteurs : Colleen M. DOYLE, Auteur ; Carolyn LASCH, Auteur ; Elayne P. VOLLMAN, Auteur ; Christopher David DESJARDINS, Auteur ; Nathaniel E. HELWIG, Auteur ; Suma JACOB, Auteur ; Jason J. WOLFF, Auteur ; Jed T. ELISON, Auteur Article en page(s) : p.884-894 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder/diagnosis  Child, Preschool  Humans  Infant  Phenotype  Development  autism spectrum disorder  communication  infancy  social behavior Index. décimale : PER Périodiques Résumé : BACKGROUND: To advance early identification efforts, we must detect and characterize neurodevelopmental sequelae of risk among population-based samples early in development. However, variability across the typical-to-atypical continuum and heterogeneity within and across early emerging psychiatric/neurodevelopmental disorders represent fundamental challenges to overcome. Identifying multidimensionally determined profiles of risk, agnostic to DSM categories, via data-driven computational approaches represents an avenue to improve early identification of risk. METHODS: Factor mixture modeling (FMM) was used to identify subgroups and characterize phenotypic risk profiles, derived from multiple parent-report measures of typical and atypical behaviors common to autism spectrum disorder, in a community-based sample of 17- to 25-month-old toddlers (n = 1,570). To examine the utility of risk profile classification, a subsample of toddlers (n = 107) was assessed on a distal, independent outcome examining internalizing, externalizing, and dysregulation at approximately 30 months. RESULTS: FMM results identified five asymmetrically sized subgroups. The putative high- and moderate-risk groups comprised 6% of the sample. Follow-up analyses corroborated the utility of the risk profile classification; the high-, moderate-, and low-risk groups were differentially stratified (i.e., HR > moderate-risk > LR) on outcome measures and comparison of high- and low-risk groups revealed large effect sizes for internalizing (d = 0.83), externalizing (d = 1.39), and dysregulation (d = 1.19). CONCLUSIONS: This data-driven approach yielded five subgroups of toddlers, the utility of which was corroborated by later outcomes. Data-driven approaches, leveraging multiple developmentally appropriate dimensional RDoC constructs, hold promise for future efforts aimed toward early identification of at-risk-phenotypes for a variety of early emerging neurodevelopmental disorders. En ligne : http://dx.doi.org/10.1111/jcpp.13341 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 [article] Phenoscreening: a developmental approach to research domain criteria-motivated sampling [texte imprimé] / Colleen M. DOYLE, Auteur ; Carolyn LASCH, Auteur ; Elayne P. VOLLMAN, Auteur ; Christopher David DESJARDINS, Auteur ; Nathaniel E. HELWIG, Auteur ; Suma JACOB, Auteur ; Jason J. WOLFF, Auteur ; Jed T. ELISON, Auteur . - p.884-894. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 62-7 (July 2021) . - p.884-894 Mots-clés : Autism Spectrum Disorder/diagnosis  Child, Preschool  Humans  Infant  Phenotype  Development  autism spectrum disorder  communication  infancy  social behavior Index. décimale : PER Périodiques Résumé : BACKGROUND: To advance early identification efforts, we must detect and characterize neurodevelopmental sequelae of risk among population-based samples early in development. However, variability across the typical-to-atypical continuum and heterogeneity within and across early emerging psychiatric/neurodevelopmental disorders represent fundamental challenges to overcome. Identifying multidimensionally determined profiles of risk, agnostic to DSM categories, via data-driven computational approaches represents an avenue to improve early identification of risk. METHODS: Factor mixture modeling (FMM) was used to identify subgroups and characterize phenotypic risk profiles, derived from multiple parent-report measures of typical and atypical behaviors common to autism spectrum disorder, in a community-based sample of 17- to 25-month-old toddlers (n = 1,570). To examine the utility of risk profile classification, a subsample of toddlers (n = 107) was assessed on a distal, independent outcome examining internalizing, externalizing, and dysregulation at approximately 30 months. RESULTS: FMM results identified five asymmetrically sized subgroups. The putative high- and moderate-risk groups comprised 6% of the sample. Follow-up analyses corroborated the utility of the risk profile classification; the high-, moderate-, and low-risk groups were differentially stratified (i.e., HR > moderate-risk > LR) on outcome measures and comparison of high- and low-risk groups revealed large effect sizes for internalizing (d = 0.83), externalizing (d = 1.39), and dysregulation (d = 1.19). CONCLUSIONS: This data-driven approach yielded five subgroups of toddlers, the utility of which was corroborated by later outcomes. Data-driven approaches, leveraging multiple developmentally appropriate dimensional RDoC constructs, hold promise for future efforts aimed toward early identification of at-risk-phenotypes for a variety of early emerging neurodevelopmental disorders. En ligne : http://dx.doi.org/10.1111/jcpp.13341 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456

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