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Comprehensive evaluations include data from multiple informants, but discrepancies occur on adaptive skill measures of youth with autism spectrum disorder (ASD) and intellectual disabilities (ID). This study investigated discrepancies between parent-teacher ratings on a measure of adaptive behavior ["Adaptive Behavior Assessment System, Third Edition" (ABAS-3)] in a clinical sample of 115 youth. Agreement between informants was determined and then discrepancies were identified using paired-sample "t"-tests for the whole sample and subsamples. Factors associated with parent-teacher discrepancies were investigated including age, diagnoses, IQ, autism symptomology, and parent education. Parent-teacher scores were moderately correlated for the ABAS-3 composite and domains. Teachers rated youth with ASD and ID as having higher adaptive skills. Autism symptomology significantly predicted discrepancies between informants on the ABAS-3.

BackgroundHeterogeneous mental health outcomes during the COVID-19 pandemic are documented in the general population. Such heterogeneity has not been systematically assessed in youth with autism spectrum disorder (ASD) and related neurodevelopmental disorders (NDD). To identify distinct patterns of the pandemic impact and their predictors in ASD/NDD youth, we focused on pandemic-related changes in symptoms and access to services.MethodsUsing a naturalistic observational design, we assessed parent responses on the Coronavirus Health and Impact Survey Initiative (CRISIS) Adapted For Autism and Related neurodevelopmental conditions (AFAR). Cross-sectional AFAR data were aggregated across 14 European and North American sites yielding a clinically well-characterized sample of N = 1275 individuals with ASD/NDD (age = 11.0 ± 3.6 years; n females = 277). To identify subgroups with differential outcomes, we applied hierarchical clustering across eleven variables measuring changes in symptoms and access to services. Then, random forest classification assessed the importance of socio-demographics, pre-pandemic service rates, clinical severity of ASD-associated symptoms, and COVID-19 pandemic experiences/environments in predicting the outcome subgroups.ResultsClustering revealed four subgroups. One subgroup-broad symptom worsening only (20%)-included youth with worsening across a range of symptoms but with service disruptions similar to the average of the aggregate sample. The other three subgroups were, relatively, clinically stable but differed in service access: primarily modified services (23%), primarily lost services (6%), and average services/symptom changes (53%). Distinct combinations of a set of pre-pandemic services, pandemic environment (e.g., COVID-19 new cases, restrictions), experiences (e.g., COVID-19 Worries), and age predicted each outcome subgroup.LimitationsNotable limitations of the study are its cross-sectional nature and focus on the first six months of the pandemic.ConclusionsConcomitantly assessing variation in changes of symptoms and service access during the first phase of the pandemic revealed differential outcome profiles in ASD/NDD youth. Subgroups were characterized by distinct prediction patterns across a set of pre- and pandemic-related experiences/contexts. Results may inform recovery efforts and preparedness in future crises; they also underscore the critical value of international data-sharing and collaborations to address the needs of those most vulnerable in times of crisis.

[This corrects the article DOI: 10.3389/fpsyg.2022.927847.].

Increasing numbers of children with known genetic conditions and/or intellectual disability are referred for evaluation of autism spectrum disorder (ASD), highlighting the need to refine autism symptom measures to facilitate differential diagnoses in children with cognitive and language impairments. Previous studies have reported decreased specificity of ASD screening and diagnostic measures in children with intellectual disability. However, little is known about how cognitive and language abilities impact the measurement of specific ASD symptoms in this group. We aggregated a large sample of young children (N = 1196; aged 31-119 months) to examine measurement invariance of ASD symptoms among minimally verbal children within the context of the Autism Diagnostic Observation Schedule (ADOS) Module 1. Using confirmatory factor analysis (CFA) and moderated non-linear factor analysis (MNLFA), we examined how discrete behaviors were differentially associated with the latent symptom domains of social communication impairments (SCI) and restricted and repetitive behaviors (RRB) across spoken language levels and non-verbal mental age groupings. While the two-factor structure of SCI and RRB held consistently across language and cognitive levels, only partial invariance was observed for both ASD symptom domains of SCI and RRB. Specifically, four out of the 15 SCI items and one out of the three RRB items examined showed differential item functioning between children with "Few to No Words" and those with "Some Words"; and one SCI item and one RRB item showed differential item functioning across non-verbal mental age groups. Moreover, even after adjusting for the differential item functioning to reduce measurement bias across groups, there were still differences in ASD symptom domain scores across spoken language levels. These findings further underscore the influence of spoken language level on measurement of ASD symptoms and the importance of measuring ASD symptoms within refined spoken language levels, even among those with minimal verbal abilities.

Special interests (SIs) are part of the diagnostic criteria for autism spectrum disorder (ASD). Though they can have both positive and negative effects on functioning and long-term outcomes, research on SIs is limited. This pilot study used a newly developed parent-report measure, the "Special Interest Survey," to characterize SIs in 1992 children with ASD. The mean number of current special interests reported was 9, with television, objects, and music being most commonly endorsed interests. The mean age of onset reported across all categories was 5.24 years, with duration of past interests most often exceeding 2 years. Age of onset, interference, and relative unusualness of the SI was varied across categories. Interference was significantly correlated with the unusualness of the SIs.

Extant data suggest that the cognitive profiles of individuals with ASD may be characterized by variability, particularly in terms of verbal intellectual functioning (VIQ) and non-verbal intellectual functioning (NVIQ) discrepancies. The "Differential Ability Scales, Second Edition" (DAS-II) has limited data available on its use with youth with ASD. The current study examined data from 2,110 youth with ASD in order to characterize performance on the DAS-II and to investigate potential discrepancies between VIQ and NVIQ. A larger proportion of individuals in the ASD sample had significant discrepancies between VIQ and NVIQ when compared to the normative sample [early years sample ?[superscript 2] (2) = 38.36; p < 0.001; school age sample ?[superscript 2] (2) = 13.48; p < 0.01]. Clinical and research implications are discussed.

The study examined teasing experiences among 74 individuals with autism spectrum disorder (ASD; M age = 115.7 months [9.6 years]; 83.8% male). Experiences were examined from parent, teacher, and child's own perspectives. Factors potentially associated with being teased were investigated. Comparison data were ascertained on typically developing siblings (n = 68; M age = 116.5 months [9.7 years]; 52.9% male). Select items on the "Child Behavior Checklist 6-18" and the "Teacher Report Form 6-18" were utilized to calculate the prevalence of being teased; qualitative data from a subgroup of verbally fluent children with ASD (n = 50) were analyzed to provide child self-report teasing data. Children with ASD were more likely to be teased than their typically developing siblings. Characteristics that were significantly associated with being teased included higher cognitive functioning, less severe ASD symptomatology, and more time spent in inclusive educational settings. Clinical implications are discussed.

Psychotropic medication use and its relationship to autism spectrum core features were examined in a well-characterized but nonstratified North American sample (N = 1605) of children/adolescents diagnosed with autism spectrum disorders utilizing the "Autism Diagnostic Observation Schedule" and the "Autism Diagnostic Interview-Revised," from the multisite Simons Simplex Collection. Analyses included (a) prevalence of psychotropic use (overall, and by classes), (b) correlations between prevalence of use and autism spectrum core features, age, and cognitive functioning, and (c) logistic regression to identify whether these factors were predictive of psychotropic use. Results indicated 41.7% ever used one or more classes of psychotropic medications, with attention deficit hyperactivity disorder medications used most. Small but significant correlations between psychotropic medication use and (a) social impairment (p < 0.001) and (b) repetitive behaviors (p < 0.001) were found. Overall, however, autism spectrum disorder core features are weakly related to medication use. Older children used more psychotropics (p < 0.001), and higher cognitive functioning was associated with less overall psychotropic use (p < 0.001). Logistic regression indicated that use of psychotropics was predicted by repetitive behaviors (both clinician-observed and parent-reported), age, and cognitive ability level. Limitations inherent to the Simons Simplex Collection sample, methodology, and the correlational analyses are discussed. Directions for future research include investigation of factors more influential than core symptoms on psychotropic treatment (e.g. parent perceptions, comorbid symptoms).

Schools have begun to adopt a population-based method to conceptualizing assessment and intervention of students; however, little empirical evidence has been gathered to support this shift in service delivery. The present study examined the fit of a population-based model in identifying students' behavioral and emotional functioning using a district screening of first- through fifth-grade students (n = 2,706) in a diverse suburban school district. Teacher ratings of students' emotional and behavior difficulties appeared to fit a population-based model well. Parent ratings of students' difficulties (n = 1468) did not fit the model but indicated students having fewer difficulties. There was significant agreement between parent and teacher ratings for those students rated by both informants. These findings further support the use of population-based models in conceptualizing service delivery for students in schools. Limitations of the study, as well as implications for school screenings, are discussed. (Contains 3 tables.)

Limited research exists regarding the role of teachers in screening for Autism Spectrum Disorders (ASD). The current study examined the use of the "Social Communication Questionnaire" (SCQ) and "Social Responsiveness Scale" (SRS) as completed by parents and teachers about school-age children from the Simons Simplex Collection. Using the recommended cutoff scores in the manuals and extant literature, the teacher-completed SCQ and SRS yielded lower sensitivity and specificity values than would be desirable; however, lowering the cutoff scores on both instruments improved sensitivity and specificity to more adequate levels for screening purposes. Using the adjusted cutoff scores, the SRS teacher form appears to be a slightly better screener than the SCQ. Implications and limitations are discussed, as well as areas for future research.

There is very little known about how sibling characteristics may influence the social functioning of a child with an autism spectrum disorder (ASD). The current study utilized data from the Simons Simplex Collection (SSC; n=1355 children with ASD and 1351 siblings) to investigate this relationship. Phenotypic measures included (a) the "Autism Diagnostic Interview-Revised" (ADI-R), the "Autism Diagnostic Observation Schedule" (ADOS), and the "Vineland Adaptive Behavior Scales-II" (VABS-II) for the probands with ASD and (b) the "Social Communication Questionnaire" (SCQ), the "Social Responsiveness Scale" (SRS), the "Child Behavior Checklist" (CBCL), and the VABS-II for siblings. Sibling data were first analyzed collectively, then analyzed by "older" and "younger" groups, relative to the age of the proband with ASD. Significant correlations were observed between probands' and siblings' VABS-II socialization domain scores; additional associations were noted between (a) probands' VABS-II socialization domain scores and siblings' CBCL internalizing subscale scores when only younger siblings were analyzed, and (b) probands' ADOS Reciprocal Social Interaction (RSI) domain scores and the sibling SCQ scores when only older siblings were analyzed. These findings suggest that typically developing children may have a small yet meaningful influence on the prosocial development of their siblings with ASD. Limitations and future directions are discussed. (Contains 4 tables.)

Despite the prevalence of special interests (SIs) in autistic youth, research on SIs and how they are characterized is limited. Indeed, a significant challenge in identifying and classifying SIs lies in capturing the vast and diverse scope of potential interests in this population. The recently developed Special Interest Survey (SIS) is a caregiver‐report measure to improve SI characterization by capturing a broad range of past and current SIs. In the present study, we performed a network analysis of the SIS to examine relations between SIs and identify distinct interest clusters. We analyzed data from 1992 caregivers of autistic youths who completed the SIS. The network of SIs was densely interconnected, characterized by six communities of interests: Fact‐seeking, Engineering, Order‐seeking, Object Attachment, Entertainment, and Scholarly Pursuits. Findings suggest that the structure of the observed network is likely to generalize to similar samples. Of all the SIs and their respective communities, behaviors related to Fact‐seeking were identified as the most central, meaning that endorsement of these interests was most strongly related to co‐endorsement of other SIs. These findings lay the groundwork for future work on SIs, such as improved assessment techniques and linkage of SIs to a broad range of demographic variables, youth characteristics, and autism symptoms. Lay Summary: The present study demonstrated that special interests in autistic children, as measured by the Special Interests Survey, can be classified in six interest clusters: Fact‐seeking, Engineering, Order‐seeking, Object Attachment, Entertainment, and Scholarly Pursuits. This classification system is likely to generalize to other similar samples. The specific interest of fact‐seeking about things was the most important item in the system, suggesting that other special interests may stem from this one. The importance of Fact‐seeking in the system may also reflect that youth frequently engage in their interests through research. [ABSTRACT FROM AUTHOR]

Increasing numbers of children with known genetic conditions and/or intellectual disability are referred for evaluation of autism spectrum disorder (ASD), highlighting the need to refine autism symptom measures to facilitate differential diagnoses in children with cognitive and language impairments. Previous studies have reported decreased specificity of ASD screening and diagnostic measures in children with intellectual disability. However, little is known about how cognitive and language abilities impact the measurement of specific ASD symptoms in this group. We aggregated a large sample of young children (N = 1196; aged 31-119 months) to examine measurement invariance of ASD symptoms among minimally verbal children within the context of the Autism Diagnostic Observation Schedule (ADOS) Module 1. Using confirmatory factor analysis (CFA) and moderated non-linear factor analysis (MNLFA), we examined how discrete behaviors were differentially associated with the latent symptom domains of social communication impairments (SCI) and restricted and repetitive behaviors (RRB) across spoken language levels and non-verbal mental age groupings. While the two-factor structure of SCI and RRB held consistently across language and cognitive levels, only partial invariance was observed for both ASD symptom domains of SCI and RRB. Specifically, four out of the 15 SCI items and one out of the three RRB items examined showed differential item functioning between children with "Few to No Words" and those with "Some Words"; and one SCI item and one RRB item showed differential item functioning across nonverbal mental age groups. Moreover, even after adjusting for the differential item functioning to reduce measurement bias across groups, there were still differences in ASD symptom domain scores across spoken language levels. These findings further underscore the influence of spoken language level on measurement of ASD symptoms and the importance of measuring ASD symptoms within refined spoken language levels, even among those with minimal verbal abilities. [ABSTRACT FROM AUTHOR]

Research in autism spectrum disorder (ASD) often relies on parent report for describing behavior and symptoms. Psychometric studies in assessment have supported the utility of parent report; however, cultural and external factors may influence ratings of severity. The purpose of this study was to investigate if parent characteristics influence the severity rating of ASD over and above child characteristics. Using the 2009–2010 National Survey of Children With Special Health Care Needs (NS-CSHCN), we examined 3,037 parents who answered questions about their child's ASD symptoms. We used hierarchical multiple regression to assess child-level variables (age, developmental delay, intellectual disability, and number of co-occurring emotional or behavioral conditions) and family-level variables (education, income, and language). We also performed mediation analyses to examine the relationship between language and severity ratings. Parents rated their child's ASD as mild (52.3%), moderate (36%), or severe (11.8%). Parent-level variables explained a significant amount of variance over and above child-level variables. Several different stressors and challenges for English Language Learner parents mediated the relationship between language and severe ASD ratings. When asking parents to evaluate a child's ASD symptoms, clinicians and researchers must consider the influence of sociocultural factors on ratings. In addition, because parent perception can drive help-seeking behaviors, professionals need to understand that there may be differences across sociocultural groups. Future research should investigate which sociocultural perceptions or expectations may be affecting parent ratings of ASD severity. [ABSTRACT FROM AUTHOR]

16p11.2 rearrangements are associated with developmental delay, cognitive impairment, autism spectrum disorder, behavioral problems (especially attention-deficit hyperactivity disorder), seizures, obesity, dysmorphic features, and abnormal head size. In addition, congenital anomalies and abnormal brain findings were frequently observed in patients with these rearrangements. We identified and performed a detailed microarray, phenotypic, and radiological characterization of three new patients with 16p11.2 rearrangements: two deletion patients and one patient with the reciprocal duplication. All patients have a heterozygous loss (deletion) or gain (duplication) corresponding to chromosomal coordinates (chr16: 29 528 190-30 107 184) with a minimal size of 579 kb. The deletion patients had language delay and learning disabilities and one met criteria for pervasive developmental disorder not otherwise specified. The duplication patient received a diagnosis of autism and had academic deficits and behavioral problems. The patients with deletion had long cervicothoracic syringomyelia and the duplication patient had long thoracolumbar syringomyelia. The syringomyelia in one patient with deletion was associated with Chiari malformation. Our findings highlight the broad spectrum of clinical and neurological manifestations in patients with 16p11.2 rearrangements. Our observation suggests that genes (or a single gene) within the implicated interval have significant roles in the pathogenesis of syringomyelia. A more comprehensive and systematic research is warranted to study the frequency and spectrum of malformations in the central nervous system in these patients. [ABSTRACT FROM AUTHOR]

• YA-ASD within the study had many comorbid physical and mental health conditions. • Describing and seeking care for mental health conditions were difficult for YA-ASD. • Ability to describe and seek care was dependent on intellectual ability and condition severity. Young adults with autism spectrum disorder's (YA-ASD) ability to manage their healthcare needs is imperative as they transition to adult care. This study evaluated YA-ASD's knowledge and care-seeking behavior for Physical and Mental Health (PH/MH) conditions. Caregivers (n = 501), of YA-ASD 16–25 years completed surveys. This study examined the extent to which YA-ASD could describe and seek care for their physical and mental health conditions (i.e. describing and care-seeking behaviors). Multivariate analyses further evaluated YA-ASD's ability to and predictors of describing and care-seeking behaviors. YA-ASD had high rates of PH and MH conditions. Describing and careseeking behavior was significantly higher for PH versus MH conditions (p <.001). Regression analysis showed similar predictors for describing and care-seeking behaviors regardless of condition type. Intellectual disability and ASD-symptom severity were strong predictors (p <.001). Results reveal a need for interventions focusing on empowering YAASD to manage MH conditions. [ABSTRACT FROM AUTHOR]

Almost all autistic youths have special interests (SIs), which are focused, intense areas of passion and interest in a particular topic. Emerging research suggests that there are gender differences in SIs among autistic youth; however, commonly used measures that assess for the presence of SIs may not fully capture the granular nature of those differences between autistic boys and girls. Characterizing these differences is important for autism identification in girls, as SIs in autistic girls may often be overlooked by caregivers, teachers, and clinicians due to their more "typical" and more socially oriented content areas compared to autistic boys. This study therefore aimed to more fully characterize gender differences in SIs using a newly developed caregiver-report measure of SIs (the Special Interests Survey; SIS). Caregivers of 1921 autistic youth completed the SIS. Analyses revealed many similarities between boys and girls; there were no gender differences in mean age SI onset, caregivers' perceptions of uniqueness or interferences of endorsed SIs, or duration of previous SIs. There were gender differences in endorsement of less than half (39%) of the SI categories measured, and there were minor differences in the number of endorsed current and past SIs. Categories with significant gender differences fell along typical gender lines (e.g., more boys interested in math and construction, more girls interested in animals and arts/crafts). This study extends the growing literature on SIs and gender differences in autism and has important implications for supporting autistic youth and their families., (© 2024 International Society for Autism Research and Wiley Periodicals LLC.)

Despite the prevalence of special interests (SIs) in autistic youth, research on SIs and how they are characterized is limited. Indeed, a significant challenge in identifying and classifying SIs lies in capturing the vast and diverse scope of potential interests in this population. The recently developed Special Interest Survey (SIS) is a caregiver-report measure to improve SI characterization by capturing a broad range of past and current SIs. In the present study, we performed a network analysis of the SIS to examine relations between SIs and identify distinct interest clusters. We analyzed data from 1992 caregivers of autistic youths who completed the SIS. The network of SIs was densely interconnected, characterized by six communities of interests: Fact-seeking, Engineering, Order-seeking, Object Attachment, Entertainment, and Scholarly Pursuits. Findings suggest that the structure of the observed network is likely to generalize to similar samples. Of all the SIs and their respective communities, behaviors related to Fact-seeking were identified as the most central, meaning that endorsement of these interests was most strongly related to co-endorsement of other SIs. These findings lay the groundwork for future work on SIs, such as improved assessment techniques and linkage of SIs to a broad range of demographic variables, youth characteristics, and autism symptoms., (© 2022 International Society for Autism Research and Wiley Periodicals LLC.)