Quality of Life in School-Aged Youth Referred to an Autism Specialty Clinic: A Latent Profile Analysis

Autism Spectrum Disorder Symptom Profiles in Fragile X Syndrome, Angelman Syndrome, Tuberous Sclerosis Complex and Neurofibromatosis Type 1

Studying Autism Spectrum Disorder (ASD) heterogeneity in biologically homogeneous samples may increase our knowledge of ASD etiology. Fragile X syndrome (FXS), Angelman syndrome (AS), Tuberous Sclerosis Complex (TSC), and Neurofibromatosis type 1 (NF1) are monogenic disorders with high a prevalence of ASD symptomatology. This study aimed to identify ASD symptom profiles in a large group of children and adolescents (0;9-28 years) with FXS, AS, TSC, and NF1. Data on ASD symptomatology (Autism Diagnostic Observation Scale (ADOS-2) & Social Responsiveness Scale (SRS-2)) were collected from children and adolescents with FXS (n = 54), AS (n = 93), TSC (n = 112), and NF1 (n = 278). To identify groups of individuals with similar ASD profiles, we performed two latent profile analyses. We identified a four-profile model based on the ADOS-2, with a (1) 'Non-spectrum symptom profile', (2) 'Social Affect symptom profile', (3)'Restricted/Repetitive Behaviors symptom profile', and (4)'ASD symptom profile'. We also identified a four-profile model based on the SRS, with a (1)'Non-clinical symptom profile', (2)'Mild symptom profile', (3)'Moderate symptom profile', and (4)'Severe symptom profile'. Although each syndrome group exhibited varying degrees of severity, they also displayed heterogeneity in the profiles in which they were classified. We found distinct ASD symptom profiles in a population consisting of children and adolescents with FXS, AS, TSC, and NF1. Our study highlights the importance of a personalized approach to the identification and management of ASD symptoms in rare genetic syndromes. Future studies should aim to include more domains of functioning and investigate the stability of latent profiles over time.

Saudi parents' perspectives of the factors influencing the quality of life of their children with autism spectrum disorder

BACKGROUND

Research indicates that the deficits in social communication and the repetitive, restrictive behaviour of persons with Autistic Spectrum Disorder (ASD) can pose challenges to their functioning in different Quality of Life (QoL) domains, leading to lower levels of life satisfaction. Evidence also indicates that various social and family factors, such as the support received in the community/environment and the composition of the family, could impact the QoL of persons with ASD.

AIM

To study the factors influencing the QoL of children with ASD in the Kingdom of Saudi Arabia (KSA) by investigating the perspectives of their parents.

METHOD

Questionnaires were completed by 110 parents who had a child with ASD. The questionnaire included the 96-item KidsLife-ASD scale to capture parents' perspectives regarding the difficulties experienced by their child, the ASD support received by their families, and the QoL of the child. The data obtained from the questionnaire were statistically analysed using IBM SPSS software.

RESULTS

The difficulties experienced by children with ASD and aspects of the support (services and interventions, and challenges) they receive are factors that influence the QoL of children with ASD in the KSA. Moreover, the number of children in the family, the birth order of child with ASD, and the severity of ASD symptoms are factors that influence parents' perceptions of their children's difficulties, family ASD support, and the child's QoL.

CONCLUSIONS

Saudi parents who have one child with ASD believed that the QoL of their child was high and confirmed that the difficulties experienced by the child and the support received by the family were factors which influenced the QoL of a child with ASD.

Central Executive and Default Mode Networks: An Appraisal of Executive Function and Social Skill Brain-Behavior Correlates in Youth with Autism Spectrum Disorder

Atypical connectivity patterns have been observed for individuals with autism spectrum disorders (ASD), particularly across the triple-network model. The current study investigated brain-behavior relationships in the context of social skills and executive function profiles for ASD youth. We calculated connectivity measures from diffusion tensor imaging using Bayesian estimation and probabilistic tractography. We replicated prior structural equation modeling of behavioral measures with total default mode network (DMN) connectivity to include comparisons with central executive network (CEN) connectivity and CEN-DMN connectivity. Increased within-CEN connectivity was related to metacognitive strengths. Our findings indicate behavior regulation difficulties in youth with ASD may be attributable to impaired connectivity between the CEN and DMN and social skill difficulties may be exacerbated by impaired within-DMN connectivity.

The Importance of Parent-Teacher Informant Discrepancy in Characterizing Autistic Youth: A Replication Latent Profile Analysis

OBJECTIVE

Research about autism spectrum disorder (ASD) supports variation in symptom presentations across settings, and there is a growing literature that explicates how this variability may improve characterization of the autism phenotype. Capitalizing on a well-established literature on informant discrepancy as an index of contextual variability, research suggests that differing parent and teacher perceptions may impact treatment or education-related outcomes. A prior investigation by Lerner and colleagues suggests that parent-teacher discrepancies in ASD symptom ratings define discrete and clinically meaningful subgroups. However, replication in a larger sample is important to support the validity and utility of the subgroups for use in research and practice.

METHOD

The present paper used latent profile analysis (LPA) to (1) replicate the previous study by Lerner and colleagues in a larger sample of 514 clinic-referred autistic youth (aged 6-18, 83.2% male, 90.4% White, IQ 19-140) and (2) determine if parent-teacher informant discrepancies relate to clinical and functional correlates. We hypothesized that parent-teacher discrepancies in ASD symptom severity ratings would validly characterize ASD subgroups and predict clinical and functional correlates.

RESULTS

The results of the LPA supported a 4-profile solution made up of two parent-teacher agreement groups (high parent-teacher, 21.2%, and low parent-teacher, 34.2%) and two parent-teacher discrepancy groups (high parent-low teacher, 18.1%, and moderate parent-high teacher, 26.5%), replicating findings from Lerner and colleagues. Latent profile membership differentially predicted IQ, age, and educational outcomes of participants.

CONCLUSIONS

Unique, clinically useful information about the taxonomy and impact of ASD is obtained by considering informant discrepancies in symptom severity ratings, which underscores the importance of considering contextual variability assessed through multiple informants.

Using latent profile analysis to evaluate the utility of a DSM-5 symptom checklist in screening children for autism spectrum disorder

Objective: Currently available screening measures for Autism Spectrum Disorder (ASD) typically do not reflect DSM-5 diagnostic criteria and generally have weak positive predictive values. These factors result in missed opportunities for early intervention, delays in diagnosis, and contribute to inefficient usage of healthcare resources by inadequately discerning those in need of comprehensive assessment. This study examined a DSM-5 ASD symptom checklist to determine whether parent-report response patterns could accurately identify which children received an ASD diagnosis. Method: Data were examined from 376 ASD evaluations in a three-year period. Latent profile analysis was used to determine if subgroups could be identified according to parent response patterns, and network analysis was implemented to examine the relationship among DSM-5 ASD criteria within each latent profile. Results: A four-profile model was best supported based on fit indices and high probability classifications. The model was largely a product of how parents responded regarding their child's sensory behavior and minimally reflected other symptomatology. Subsequent network analyses by profile indicated weak coherence among DSM-5 symptoms within all profiles. Overall, direct assessment of DSM-5 criteria based on parent report did not add diagnostic value beyond that reflected in base rates. Conclusions: Although continued refinement of ASD screening tools is needed to improve accuracy of referrals for evaluations and reduce wait time for diagnosis, this study continues to support the need for behavioral observation and formal assessment by trained clinicians. Continued development of sensitive and specific screening tools, likely with embedded behavioral and/or objective observation, is needed.

Searching for What Really Matters: A Thematic Analysis of Quality of Life among Preschool Children on the Autism Spectrum

Quality of life (QoL) is an essential measure when assessing health interventions. Most early interventions for preschool children on the spectrum evaluate the effects on autism symptoms. However, researchers increasingly believe that good interventions should also improve the QoL of these children. Domains of QoL among preschool children on the autism spectrum have not previously been researched. We interviewed adults on the spectrum to explore early childhood experiences that made their lives satisfying. Our data revealed four major themes: interests, environmental regularity, sensory differences and social interactions. This study provides the first insights on aspects of life important to pre-schoolers on the spectrum. Findings will contribute to developing items for a measure of QoL among this population.

Health-Related Quality of Life in Children with Developmental Disorders

Purpose of Review

(1) To give an overview of what is currently known about health-related quality of life (HRQoL) in three common and co-occurring developmental disorders: attention deficit hyperactivity disorder (ADHD), autism spectrum disorders (ASD), and developmental coordination disorder (DCD), and (2) to provide directions for future research.

Recent Findings

HRQoL is compromised in all three developmental disorders, affecting various domains of HRQoL. However, some domains are more affected than others depending on the nature of the core deficits of the disorder. Overall, parents’ rate HRQoL of their children lower than the children themselves. Children with ASD and ADHD with co-occurring disorders have lower HRQoL compared to those with singular disorders. Future studies in DCD are needed to investigate the effect of co-occurring disorder in this population.

Summary

Children with developmental disorders have lower HRQoL than typically developing children. Future research should focus on the effects of co-occurring disorders on HRQoL and on protective factors that may increase HRQoL. HRQoL should be a part of clinical assessment, as it reveals the areas in life children are struggling with that could be targeted during intervention.