Emotion dysregulation in autism: Severity and correlates in early childhood / Jessie B. NORTHRUP in Autism Research, 17-12 (December 2024)  

Public ISBD [article]  inAutism Research > 17-12 (December 2024) . - p.2662-2675 Titre : Emotion dysregulation in autism: Severity and correlates in early childhood Type de document : texte imprimé Auteurs : Jessie B. NORTHRUP, Auteur ; Amy G. HARTMAN, Auteur ; Kristen T. MACKENZIE, Auteur ; Shalini SIVATHASAN, Auteur ; Safaa ELDEEB, Auteur ; Carla A. MAZEFSKY, Auteur Article en page(s) : p.2662-2675 Langues : Anglais (eng) Mots-clés : autism  dysphoria  emotion dysregulation  irritability  preschool Index. décimale : PER Périodiques Résumé : Abstract Emotion dysregulation (ED) is common and severe in older autistic youth, but is rarely the focus of early autism screening or intervention. Moreover, research characterizing ED in the preschool years (when autism is typically diagnosed) is limited. This study aimed to characterize ED in autistic children by examining (1) prevalence and severity of ED as compared to children without an autism diagnosis; and (2) correlates of ED in autistic children. A sample of 1864 parents (Mean child age 4.21 years, SD 1.16 years; 37% female) of 2 5 year-old children with (1) autism; (2) developmental concerns, but no autism; and (3) no developmental concerns or autism completed measures via an online questionnaire. ED was measured using the Emotion Dysregulation Inventory-Young Child, a parent report measure characterizing ED across two dimensions: Reactivity (fast, intense emotional reactions) and dysphoria (low positive affect, sadness, unease). Autistic preschoolers, compared to peers without developmental concerns, had more severe ED (+1.12 SD for reactivity; +0.60 SD for dysphoria) and were nearly four and three times more likely to have clinically significant reactivity and dysphoria, respectively. Autistic traits, sleep problems, speaking ability, and parent depression were the strongest correlates of ED in the autism sample. While more work is needed to establish the prevalence, severity, and correlates of ED in young autistic children, this study represents an important first step. Results highlight a critical need for more high-quality research in this area as well as the potential value of screening and intervention for ED in young autistic children. En ligne : https://dx.doi.org/10.1002/aur.3264 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=544 [article] Emotion dysregulation in autism: Severity and correlates in early childhood [texte imprimé] / Jessie B. NORTHRUP, Auteur ; Amy G. HARTMAN, Auteur ; Kristen T. MACKENZIE, Auteur ; Shalini SIVATHASAN, Auteur ; Safaa ELDEEB, Auteur ; Carla A. MAZEFSKY, Auteur . - p.2662-2675. Langues : Anglais (eng) in Autism Research > 17-12 (December 2024) . - p.2662-2675 Mots-clés : autism  dysphoria  emotion dysregulation  irritability  preschool Index. décimale : PER Périodiques Résumé : Abstract Emotion dysregulation (ED) is common and severe in older autistic youth, but is rarely the focus of early autism screening or intervention. Moreover, research characterizing ED in the preschool years (when autism is typically diagnosed) is limited. This study aimed to characterize ED in autistic children by examining (1) prevalence and severity of ED as compared to children without an autism diagnosis; and (2) correlates of ED in autistic children. A sample of 1864 parents (Mean child age 4.21 years, SD 1.16 years; 37% female) of 2 5 year-old children with (1) autism; (2) developmental concerns, but no autism; and (3) no developmental concerns or autism completed measures via an online questionnaire. ED was measured using the Emotion Dysregulation Inventory-Young Child, a parent report measure characterizing ED across two dimensions: Reactivity (fast, intense emotional reactions) and dysphoria (low positive affect, sadness, unease). Autistic preschoolers, compared to peers without developmental concerns, had more severe ED (+1.12 SD for reactivity; +0.60 SD for dysphoria) and were nearly four and three times more likely to have clinically significant reactivity and dysphoria, respectively. Autistic traits, sleep problems, speaking ability, and parent depression were the strongest correlates of ED in the autism sample. While more work is needed to establish the prevalence, severity, and correlates of ED in young autistic children, this study represents an important first step. Results highlight a critical need for more high-quality research in this area as well as the potential value of screening and intervention for ED in young autistic children. En ligne : https://dx.doi.org/10.1002/aur.3264 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=544

Identifying Unique Subgroups of Emotional and Behavioral Presentations in a Large Inpatient and Community Sample of Autistic Youth / Safaa ELDEEB in Autism Research, 19-8 (August 2026)  

Public ISBD [article]  inAutism Research > 19-8 (August 2026) . - p.e70307 Titre : Identifying Unique Subgroups of Emotional and Behavioral Presentations in a Large Inpatient and Community Sample of Autistic Youth Type de document : texte imprimé Auteurs : Safaa ELDEEB, Auteur ; Jessie NORTHRUP, Auteur ; Caitlin CONNER, Auteur ; Shalini SIVATHASAN, Auteur ; Ligia ANTEZANA, Auteur ; Matthew SIEGEL, Auteur ; Carla MAZEFSKY, Auteur Article en page(s) : p.e70307 Langues : Anglais (eng) Mots-clés : aggression  autism  behavioral phenotyping  emotion dysregulation inventory  machine learning  random forests ensemble clustering Index. décimale : PER Périodiques Résumé : ABSTRACT Autistic youth exhibit wide variability in emotional and behavioral challenges, yet few studies have identified meaningful subgroups based on these profiles. This study applied a random forests ensemble clustering algorithm to item-level parent-report data from the Emotion Dysregulation Inventory (EDI) and the Child Behavior Checklist (CBCL) in a combined sample of 1311 autistic youth (ages 6?17), drawn from the Autism Inpatient Collection (n?=?446) and the Interactive Autism Network (n?=?865). Four distinct subgroups emerged: Global High (GH; 22%), characterized by elevated scores across all four subscales (EDI-Reactivity, EDI-Dysphoria, CBCL Internalizing, and CBCL Externalizing); High-Reactivity Dominant (H-RD; 41%), marked primarily by high emotional reactivity; Moderate-Internalizing Dominant (M-ID; 18%), with elevated internalizing scores; and Global Low (GL; 19%), showing uniformly low scores. Feature importance analyses identified EDI-Reactivity and CBCL Aggression items as the strongest drivers of subgroup membership. No significant differences were found across subgroups in age, sex, race, or ethnicity. However, subgroups with greater emotional and behavioral challenges were associated with lower household income, single-parent status, and higher rates of family psychiatric history. These findings suggest that emotional reactivity and aggression severity are key differentiating features among autistic youth, and that sociodemographic and family mental health factors meaningfully shape emotional and behavioral outcomes. En ligne : https://doi.org/10.1002/aur.70307 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=589 [article] Identifying Unique Subgroups of Emotional and Behavioral Presentations in a Large Inpatient and Community Sample of Autistic Youth [texte imprimé] / Safaa ELDEEB, Auteur ; Jessie NORTHRUP, Auteur ; Caitlin CONNER, Auteur ; Shalini SIVATHASAN, Auteur ; Ligia ANTEZANA, Auteur ; Matthew SIEGEL, Auteur ; Carla MAZEFSKY, Auteur . - p.e70307. Langues : Anglais (eng) in Autism Research > 19-8 (August 2026) . - p.e70307 Mots-clés : aggression  autism  behavioral phenotyping  emotion dysregulation inventory  machine learning  random forests ensemble clustering Index. décimale : PER Périodiques Résumé : ABSTRACT Autistic youth exhibit wide variability in emotional and behavioral challenges, yet few studies have identified meaningful subgroups based on these profiles. This study applied a random forests ensemble clustering algorithm to item-level parent-report data from the Emotion Dysregulation Inventory (EDI) and the Child Behavior Checklist (CBCL) in a combined sample of 1311 autistic youth (ages 6?17), drawn from the Autism Inpatient Collection (n?=?446) and the Interactive Autism Network (n?=?865). Four distinct subgroups emerged: Global High (GH; 22%), characterized by elevated scores across all four subscales (EDI-Reactivity, EDI-Dysphoria, CBCL Internalizing, and CBCL Externalizing); High-Reactivity Dominant (H-RD; 41%), marked primarily by high emotional reactivity; Moderate-Internalizing Dominant (M-ID; 18%), with elevated internalizing scores; and Global Low (GL; 19%), showing uniformly low scores. Feature importance analyses identified EDI-Reactivity and CBCL Aggression items as the strongest drivers of subgroup membership. No significant differences were found across subgroups in age, sex, race, or ethnicity. However, subgroups with greater emotional and behavioral challenges were associated with lower household income, single-parent status, and higher rates of family psychiatric history. These findings suggest that emotional reactivity and aggression severity are key differentiating features among autistic youth, and that sociodemographic and family mental health factors meaningfully shape emotional and behavioral outcomes. En ligne : https://doi.org/10.1002/aur.70307 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=589

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