Systematic review: emotion dysregulation and challenging behavior interventions for children and adolescents on the autism spectrum with graded key evidence-based strategy recommendations

Nuske, Heather J.; Young, Amanda V.; Khan, Farzana Y.; Palermo, Emma H.; Ajanaku, Bukola; Pellecchia, Melanie; Vivanti, Giacomo; Mazefsky, Carla A.; Brookman-Frazee, Lauren; McPartland, James C.; Goodwin, Matthew S.; Mandell, David S.

doi:10.1007/s00787-023-02298-2

Cited by 8 publications

(3 citation statements)

References 33 publications

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“…For both mothers and fathers, more frequent challenging behaviors of their children are associated with the frequency and intensity of daily stressors, as well as increased depressive symptoms [25]. Aggression is significantly associated with parent/child and medical/legal functional impacts; SIB is associated with a lower quality of life for the child and their family, as well as parent/child and medical/legal functional impacts [26,27]. Both aggression and SIB are in the top five predictors for psychiatric hospitalization in children with ASD, with aggression being the strongest predictor [28].…”

Section: Introductionmentioning

confidence: 99%

Predicting Problematic Behavior in Autism Spectrum Disorder Using Medical History and Environmental Data

Ferina,

Kruger,

Kruger

et al. 2023

JPM

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Autism spectrum disorder (ASD), characterized by social, communication, and behavioral abnormalities, affects 1 in 36 children according to the CDC. Several co-occurring conditions are often associated with ASD, including sleep and immune disorders and gastrointestinal (GI) problems. ASD is also associated with sensory sensitivities. Some individuals with ASD exhibit episodes of challenging behaviors that can endanger themselves or others, including aggression and self-injurious behavior (SIB). In this work, we explored the use of artificial intelligence models to predict behavior episodes based on past data of co-occurring conditions and environmental factors for 80 individuals in a residential setting. We found that our models predict occurrences of behavior and non-behavior with accuracies as high as 90% for some individuals, and that environmental, as well as gastrointestinal, factors are notable predictors across the population examined. While more work is needed to examine the underlying connections between the factors and the behaviors, having reasonably accurate predictions for behaviors has the potential to improve the quality of life of some individuals with ASD.

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Section: Introductionmentioning

confidence: 99%

Predicting Problematic Behavior in Autism Spectrum Disorder Using Medical History and Environmental Data

Ferina,

Kruger,

Kruger

et al. 2023

JPM

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“…These problems are exemplified by the current issue of ECAP. While presenting 30 intriguing scientific articles, only four [ 2 – 5 ] even mention psychotherapy in a broader sense, and just one explicitly addresses the topic of psychotherapy of depression in children and adolescents [ 6 ]. Notably, this sole article is a qualitative, not quantitative study, further highlighting the existing knowledge gap.…”

mentioning

confidence: 99%

“…Examples include: “…. [to] provide new opportunities for conceptualising the integration of behavioural therapies with child mental health therapies in addressing challenging behaviour in autism…” [ 5 ] or “…This in turn impacts the therapeutic alliance, a robust mediator of treatment outcome…” [ 4 ].…”

mentioning

confidence: 99%

Taming the chaos ?! – part 2: limitations of using eXplainable Artificial Intelligence (XAI) to tackle the complexity in psychotherapy of children and adolescents

Roessner,

Uhlmann,

Ehrlich

et al. 2024

Eur Child Adolesc Psychiatry

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Exploring the Heterogeneity of Self‐Injurious Behaviors in Autistic Youth: Patterns, Predictors, and Implications for Intervention

Ferguson,

Spackman,

Cai

et al. 2024

Autism Research

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Self‐injurious behaviors (SIB) encompass a heterogeneous set of self‐inflicted aggressive behaviors that are highly prevalent in autistic youth. Existing research on SIB in autism spectrum disorder (ASD) has been limited by significant methodological and conceptual inconsistencies. Thus, the current study leveraged item‐level data capturing the severity of unique SIB topographies to further understanding of factors associated with distinct SIB in a sample of 582 autistic youth (Mage = 12.12, SDage = 3.68; range: 3–19 years; 13% females). Results suggest variation in severity endorsements for specific SIB topographies amongst autistic youth, such that 30%–50% of caregivers endorsed slight to very serious concern regarding the SIB topographies of bites nails/skin/fingers, scratches self, hits head/face/neck, bangs head against things, and picks skin. Generalized additive models demonstrated distinct patterns of associations between each SIB topography and dysregulation, sensory hypersensitivity, age, sex, IQ, and language level. Findings underscore the importance of exploring SIB as a multifaceted construct to capture unique correlates of distinct SIB that vary in severity and functional impact, which is critical for the development of effective interventions. This study represents an important step towards more individualized characterization of SIB and support for diverse presentations of these behaviors in autistic youth.

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Systematic review: emotion dysregulation and challenging behavior interventions for children and adolescents on the autism spectrum with graded key evidence-based strategy recommendations

Cited by 8 publications

References 33 publications

Predicting Problematic Behavior in Autism Spectrum Disorder Using Medical History and Environmental Data

Predicting Problematic Behavior in Autism Spectrum Disorder Using Medical History and Environmental Data

Taming the chaos ?! – part 2: limitations of using eXplainable Artificial Intelligence (XAI) to tackle the complexity in psychotherapy of children and adolescents

Exploring the Heterogeneity of Self‐Injurious Behaviors in Autistic Youth: Patterns, Predictors, and Implications for Intervention

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