A Combined Study on the Use of the Child Behavior Checklist 1½-5 for Identifying Autism Spectrum Disorders at 18 Months

The Development and Validation of a Subscale for the School-Age Child Behavior CheckList to Screen for Autism Spectrum Disorder

The first aim of this study was to construct/validate a subscale-with cut-offs considering gender/age differences-for the school-age Child Behavior CheckList (CBCL) to screen for Autism Spectrum Disorder (ASD) applying both data-driven (N = 1666) and clinician-expert (N = 15) approaches. Further, we compared these to previously established CBCL ASD profiles/subscales and DSM-oriented subscales. The second aim was to cross-validate results in two truly independent samples (N = 2445 and 886). Despite relatively low discriminative power of all subscales in the cross-validation samples, results indicated that the data-driven subscale had the best potential to screen for ASD and a similar screening potential as the DSM-oriented subscales. Given beneficial implications for pediatric/clinical practice, we encourage colleagues to continue the validation of this CBCL ASD subscale.

Analysis of salivary steroid hormones in boys with autism spectrum disorder

BACKGROUND

Autism spectrum disorders (ASD) is a neurodevelopmental disorder with high incidence rate and difficult diagnosis. The purpose of this study was to explore whether salivary cortisol, dehydroepiandrosterone (DHEA) and pregnenolone can be used as biomarkers of ASD children.

METHODS

The saliva samples of 55 boys with ASD were collected as the experimental group, and the saliva samples of 24 neurotypical boys were collected as the control group. The Child Behavior Checklist (CBCL), Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS), Repetitive Behavior Scale (RBS) were used to assess the severity of symptoms in boys with ASD. Cortisol, DHEA and pregnenolone concentrations in saliva were measured using an ABSSCIEX QTRAP® 6500 + LC/MS/MS system. SPSS 23.0 was used for statistical analysis. Comparisons between the two groups which conform to normal distribution were performed by T-test, and those which don't conform to normal distribution were performed by Mann-Whitney U test. Correlation analysis between two variables was performed using Spearman's correlation analysis. Receiver operating characteristic curve (ROC) analysis was performed to evaluate the discriminatory sensitivity of each hormone between ASD and normal control groups. Logistic regression models were used to analyze whether DHEA and salivary pregnenolone can be used as a biomarker of ASD.

RESULTS

There were no significant differences in age, and weight between the ASD group and the normal control group. The ABC, SRS, RBS and CBCL scale scores in the ASD group were significantly higher than those in the normal control group. The salivary DHEA and pregnenolone concentrations in the ASD group were significantly higher than those in the normal control group, but there was no significant difference in cortisol. Spearman's correlation analysis showed that only pregnenolone associated with ABC. Logistic regression model analysis suggested that pregnenolone in saliva was an independent predictor of ASD. ROC analysis found that pregnenolone had good discrimination sensitivity between ASD and normal controls.

CONCLUSION

Gave salivary preoperative a space for utilization as biomarker as number of cases are limited to this high expectation.

How Do Children with Autism Spectrum Disorder and Children with Developmental Delays Differ on the Child Behavior Checklist 1.5–5 DSM-Oriented Scales?

The Child Behavior Checklist 1.5–5 (CBCL 1.5–5) is applied to identify emotional and behavioral problems on children with developmental disabilities (e.g., autism spectrum disorder [ASD] and developmental delays [DD]). To understand whether there are variations between these two groups on CBCL DSM-oriented scales, we took two invariance analyses on 443 children (228 children with ASD). The first analysis used measurement invariance and multiple-group factor analysis on the test structure. The second analysis used item-level analysis, i.e., differential item functioning (DIF), to discover whether group memberships responded differently on some items even though underlying trait levels were the same. It was discovered that, on the test structure, the Anxiety Problems scale did not achieve metric invariance. The other scales achieved metric invariance; DIF analyses further revealed that there were items that functioned differently across subscales. These DIF items were mostly about children’s reactions to the surrounding environment. Our findings provide implications for clinicians to use CBCL DSM-oriented scales on differentiating children with ASD and children with DD. In addition, researchers need to be mindful about how items were responded differently, even though there were no mean differences on the surface.

Behavioral and emotional problems of toddlers with autism spectrum disorder: Effects of parents' sociocultural level and individual factors

BACKGROUND

Toddlers with autism spectrum disorder (ASD) show higher prevalence and severity of Behavioral and Emotional Problems (BEP) than their peers without ASD.

AIMS

Investigating the effects of parental factors, i.e., mothers' and fathers' age and Sociocultural Level (Socioeconomic Status, Cultural Capital, and Social Capital), and individual factors, i.e., toddles' age, birth order, general development, autism symptom severity, and adaptive behavior, on the expression of BEP in toddlers with ASD.

METHODS

Participants were 148 toddlers with ASD (aged 18-37 months) and both their parents. BEP were measured with the Child Behavior Checklist 1½-5 (CBCL) Syndrome and Pervasive developmental problems (PDD) DSM-oriented scales, general development with the Griffiths Mental Development Scales (GMDS), autism symptom severity with the Autism Diagnostic Observation Schedule-2 (ADOS-2), and adaptive behavior with the Vineland-II Adaptive behavior composite.

RESULTS

Vineland-IIAdaptive behavior composite was negatively associated with the majority of the CBCL scales. In contrast, the ADOS-2 Restrictive and repetitive behavior was negatively and the ADOS-2 Social affect, toddlers' age, and birth order were positively associated with only a few of the CBCL scales (e.g., PDD). GMDS scores were not associated with any CBCL scales. Mothers' age and fathers' Cultural Capital and Social Capital dimensions were negatively associated with specific CBCL scales, even when considered in addition to individuals' factors.

CONCLUSIONS

Individual and parental factors simultaneously affect the expression of BEP and should be considered for clinical decisions.

A Pilot Study Evaluating the Effects of Early Intervention for Italian Siblings of Children with Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a high-cost/high-burden problem. Early intervention may prevent development of the disorder, improving child outcomes and reducing long-term consequences. However, few studies have investigated the role of early intervention in children younger than two years. This study aims to examine the effect of early intervention in 18-month-old high-risk siblings of children with ASD (HR-ASD) with clinical signs of autism. The intervention is based on the principles of Applied Behavior Analysis and focuses on the development of early precursors to social and communicative competence (joint attention and imitation behaviors). After controlling for baseline differences, two comparison HR-ASD groups were included: 15 HR-ASD toddlers receiving behavioral intervention for 3 h per week for 5 months (INT+) and 15 HR-ASD toddlers who were only clinically monitored from age 18 months (INT-). Changes in social communication, restricted/repetitive behaviors, and language were assessed using standardized measures at pre- (T0) and post-intervention (T1). From T0 to T1, the INT+ group showed significant improvements in communication, social interaction, and language compared to INT- group. There was no effect on restricted/repetitive behaviors. Our findings highlighted the importance of early detection/intervention in autism and supported a positive impact of targeted interventions to improve outcomes in at-risk children.