Assessment of Psychopathological Comorbidities in Children and Adolescents With Autism Spectrum Disorder Using the Child Behavior Checklist

Guerrera, Silvia; Menghini, Deny; Napoli, Eleonora; Vara, Silvia Di; Valeri, Giovanni; Vicari, Stefano

doi:10.3389/fpsyt.2019.00535

Cited by 58 publications

(47 citation statements)

References 48 publications

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“…This finding means that internalizing problems may overlap across the three groups. Our findings also confirm the high sensitivity of the CBCL for the internalizing symptoms previously described around 30%, in line with Guerrera et al (2019). This result confirms that CBCL is a specific instrument to measure internalizing symptoms in ASD.…”

Section: Discussionsupporting

confidence: 91%

“…The Child Behavior Checklist (CBCL; Achenbach and Rescorla, 2001) is a well-established and widely used parentcompleted measure of emotional and behavioral symptoms in children and adolescents aged 1.5-18 years (Sokolova et al, 2017;Guerrera et al, 2019). The CBCL results in a guided description of the child by the parents, whose fidelity in reporting symptoms is also widely recognized for psychopathological conditions and behavioral problems associated with ADHD and ASD, as recently shown by Guerrera et al (2019).…”

Section: Introductionmentioning

confidence: 99%

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Characterization of Clinical Manifestations in the Co-occurring Phenotype of Attention Deficit/Hyperactivity Disorder and Autism Spectrum Disorder

et al. 2020

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Comorbidity between attention deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) is a frequently reported condition. However, the clinical overlaps between the two disorders are not well characterized. The Child Behavior Checklist (CBCL) is a well-documented measure of emotional and behavioral problems in children and adolescents. The aim of the present study was to evaluate whether CBCL scales were able to detect psychopathological comorbidities as well as emotional and behavioral profiles across three groups of children with ASD, ADHD, and with the co-occurrence of both disorders. The results show that around 30% of participants with ASD exhibited internalizing problems, which was in line with previous findings. Cooccurrence condition showed a clinical intermediate phenotype: relative to ADHD and ASD, youths with co-occurrence of ADHD and ASD phenotype showed respectively lower (p < 0.000) and higher externalizing problems (p < 0.000). No differences emerged in internalizing problems (p > 0.05) across groups. CBCL is a useful measure to study the psychopathological conditions as well as emotional and behavioral profiles associated with ASD, ADHD, and the co-occurrence of ADHD and ASD. The identification of psychopathological and behavioral profiles associated with ASD and ADHD is crucial to perform specific and individualized treatments. Our preliminary findings suggested the existence of an intermediate and independent phenotype between ADHD and ASD that seems to be defined by the externalizing problems. Internalizing problems do not significantly differ between the combined phenotype and the two groups.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Characterization of Clinical Manifestations in the Co-occurring Phenotype of Attention Deficit/Hyperactivity Disorder and Autism Spectrum Disorder

et al. 2020

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“…Most of them were compared with other disorders on one or two symptoms, such as depression [19] and obsessive-compulsive disorder [20], or evaluated with associated symptoms of autism [21]. What is consistent with our research results is that, in Anderson's studies about network analysis of autism, "social" and "communication" domains of Autism Diagnostic Observation Schedule (ADOS) ranked top two central items [21]; and the "anxiety" node in both ADOS and Revised Child Anxiety and Depression Scale (RCADS) items were highly peripheral [12,21], although previous study found a lack of correlation between items scores of CBCL and ADOS [22,23]. Here, "communication" was the most central node in the network, and "anxious/depressed problems" node in the CBCL items had relatively more peripheral centrality estimates.…”

Section: Central Symptoms In Asdsupporting

confidence: 88%

Network analysis of core and associated symptoms in preschool children with autism spectrum disorder

Wang¹,

Shi²,

Ou³

et al. 2020

Preprint

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Background: Complex relationships may exist in the symptoms of autism spectrum disorder (ASD) and may interfere with each other. Previous studies investigate the relationships between core and associated symptoms. However, there is still a lack of holistic view, especially in the relationships between core and associated symptoms.Methods: Data were collected from a sample of 474 children with ASD. The Social Responsiveness Scale (SRS) was used to evaluate the existence and severity of autistic core symptoms of social impairment, Children’s Sleep Habits Questionnaire (CSHQ) to sleep status, and Child Behavior Checklist (CBCL/1.5-5) to behavior performance of subjects. A network analysis approach was performed to assess the partial relationships of these symptoms.Results: The social communication problem was the most central symptom of ASD. There were broad relationships between the core and associated symptoms, such as the relationships between autistic core symptoms and characteristic symptoms of ADHD and within associated symptoms. All these correlations were positive, except for a negative relationship between anxious/depressed problems and social awareness. The associations between some of these symptoms were stronger than the other associations, and the relationship between emotional problems and aggressive behavior was relatively stronger than the other relationships. The strength centrality and network edges were highly stable.Limitations: Two main limitations exist in current study. First, the network analyses was conducted by using cross-sectional data, so it remains unknown that whether the network structure will change with the progress of the course of the disease or the change of the severity of symptoms. Second, some nodes may actually be measuring overlapping constructs, which could artificially inflate edge weights and centrality.Conclusions: An overall perspective of connections of symptoms of ASD using network analysis indicated that controlling these associated symptoms may improve core symptoms, such as ADHD-related symptoms. It may help identify new ways to improve symptoms in ASD.

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“…The calibrated severity score (CSS) index from 4 to 10 was used to quantify autism symptoms independently from patients’ characteristics, such as age and language level (Gotham, Pickles, & Lord, 2009). The Child Behavior Checklist (CBCL) was used to assess a range of emotional and behavioral difficulties (Guerrera et al, 2019). Cutoff scores ≥60 for internalizing, externalizing and total T ‐scores were considered.…”

Section: Methodsmentioning

confidence: 99%

Clinical correlates in children with autism spectrum disorder and CNVs: Systematic investigation in a clinical setting

Barone

Gulisano

Amore

et al. 2020

Intl J of Devlp Neuroscience

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Autism spectrum disorder (ASD) is associated with various molecular mechanisms including copy number variants (CNVs). We investigated possible associations between CNVs and ASD clinical correlates. We evaluated pertinent physical characteristics and phenotypic measures such as cognitive level, severity of ASD symptoms and comorbid conditions in ASD patients consecutively recruited over the study period. Children with causative (C‐CNVs), non‐causative (NC‐CNVs) and without CNVs (W‐CNVs) were compared. Out of 109 patients, 31 imbalances (16 duplications and 15 deletions) were detected in 25 subjects. Seven (6.4%) had C‐CNVs and 18 (16.5%) had NC‐CNVs. Paired post hoc comparisons with Bonferroni adjustment showed that dysmorphisms and microcephaly were significantly more frequent in the C‐CNVs group. Patients with C‐CNVs had more severe autistic core symptoms, while comorbid internalizing behavioral symptoms were more represented among participants with NC‐CNVs. No significant differences were observed for distribution of macrocephaly, intellectual disability, epilepsy, isolated electroencephalogram abnormalities and studied neuroimaging characteristics among groups. Recurrent and rare C‐CNVs highlighting genes relevant to neurodevelopment had a statistically higher occurrence in children with more severe ASD symptoms and further developmental abnormalities. This study documents the importance of measuring the physical and neurobehavioural correlates of ASD phenotypes to unravel the underlying molecular mechanisms in patient subgroups.

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Assessment of Psychopathological Comorbidities in Children and Adolescents With Autism Spectrum Disorder Using the Child Behavior Checklist

Cited by 58 publications

References 48 publications

Characterization of Clinical Manifestations in the Co-occurring Phenotype of Attention Deficit/Hyperactivity Disorder and Autism Spectrum Disorder

Characterization of Clinical Manifestations in the Co-occurring Phenotype of Attention Deficit/Hyperactivity Disorder and Autism Spectrum Disorder

Network analysis of core and associated symptoms in preschool children with autism spectrum disorder

Clinical correlates in children with autism spectrum disorder and CNVs: Systematic investigation in a clinical setting

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