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Autism screening questionnaires are sometimes used as a measure of "autism-associated traits" in samples drawn from the general population, even though such tools are primarily developed and designed for use in samples of children diagnosed with or being assessed for autism. Here, we explore the psychometric properties of the Social Communication Questionnaire (SCQ) current version reported at age 8 in a large population-based sample. Using data from the Norwegian Mother, Father and Child Cohort study (MoBa), we perform exploratory (N = 21,775) and confirmatory (N = 21,674) factor analyses on items and compare our results with previously suggested factor structure models of the SCQ. Furthermore, we test for measurement invariance across sex and registry-ascertained autism diagnostic status (N[subscript diagnosed] = 636). A 5-factor model provided best fit to the data in both children with and without autism diagnoses, though with some qualitative differences in what the factors represent across these groups. This model performed largely consistently across boys and girls in the general population. Taken together, the SCQ's measurement properties must be carefully considered when it is used in population-based samples and measurement invariance testing of other autism screening tools used in similar contexts is warranted.

To better understand the associations between social activities and depressive symptoms in adolescents and young adults with autism spectrum disorder, this study utilized interpersonal theories of depression by accounting for both frequency of various social activities and perceptions of how well their time spent in these activities meet their needs and testing the indirect effects of loneliness in this association. To test these ideas, 321 participants who were recruited from the Simons Foundation Powering Autism Research for Knowledge (SPARK) research match registry and completed online measures of social activities, depressive symptoms, and loneliness. While the specific pattern was different for individual activities, it was found that those who felt that their current frequency of activities did not meet their needs had higher rates of depressive symptoms than those who felt they did meet their needs and that loneliness help to understand the indirect effects of the association between social activities and depressive symptoms. Overall, the findings suggest that how individuals feel about the time they are spending in social activities, such as with friends and in general social activities, could impact outcomes such as depression and loneliness.

Purpose: Daily mood can be influenced by a range of experiences. Identifying everyday life experiences that make autistic adults happy and unhappy holds potential to foster positive mood and tackle mental health problems amongst this group. Methods: A total of 293 autistic adults between the ages of 18 to 35 years old (mean age of 26.51 years old (SD = 4.62); 43.3% female gender, 4.8% nonbinary) provided open-text responses regarding everyday sources of happiness and unhappiness. Using an iterative process of inductive coding, 14 happy themes and 22 unhappy themes of mood-changing life experiences were identified based on self-report qualitative data. Results: Common themes across the happy and unhappy domain involved social partners, social interactions, and engagement in recreational and employment activities, with additional distinct themes specific to happy or unhappy mood. Top themes identified in the happy domain emphasizes encouraging quality relationships and positive interactions with others and cultivating supportive work/societal environments to build a sense of achievement and value. Meanwhile, emotional tolls accompanied negative relationships and interactions, underscoring the necessity to provide autistic adults with conflict resolution and coping skills to increase feelings of happiness. Conclusion: Overall, the wide range of sources of happy and unhappy everyday experiences highlights the importance of considering personal preferences in engagement with others and activities in treatment.

Job instability is high among autistic adults, with employer-initiated terminations a common reason for job loss. The current study used qualitative methods to code reasons that autistic adults identified for their employer-initiated termination. From 315 autistic individuals ages 18-35 who completed an online survey, 93 (29.5%) reported having been terminated from a job. These individuals were asked about the reasons for their termination and responses were coded into thematic categories. Common reasons included work performance, social difficulties, attendance, and mental health challenges. Adults were more likely to attribute terminations to internal causes (related to the individual) than to external causes (environment-related). A good fit between workplace, individual preferences, skills, and abilities is likely key to promoting job continuity for autistic adults.

This study examined COVID-19-related distress among adults with autism spectrum disorder and its associations with demographic and mental health information. A sample of 275 adults (ages 18-35) in the United States, all capable of providing self-reports, was recruited from a large national registry. Adults completed online surveys of mental health symptoms just before COVID-19 was declared a pandemic. Two months later, they completed the same surveys of mental health symptoms, and also reported about distress they had experienced as a result of the COVID-19 pandemic. Nearly two-thirds (65.9%) endorsed some form of COVID-related distress with a little over half reporting any individual form of distress. Although depressive and anxiety symptoms did not change from Time 1 to Time 2 on average, higher levels of COVID-related distress was associated with an increase in depressive and anxiety symptoms between Time 1 and Time 2. In addition, women and those who reported higher anxiety symptoms before the pandemic were more likely to report some form of COVID-related distress. The findings suggest that as this global crisis continues to unfold, it will be critical to ensure that adults with autism spectrum disorder who were experiencing mental health challenges prior to the pandemic receive appropriate monitoring.

Depression is a common problem for adults on the autism spectrum, but little is known about depression-related service receipt in this group. To understand depression diagnostic and treatment status better, we collected information on current depressive symptoms, depression diagnosis, and treatment status of 315 young adults with a childhood diagnosis of autism from the Simons Foundation Powering Autism Research for Knowledge registry. About two-thirds (65.4%) of the adults had been diagnosed with depression, and 46.7% currently met clinical cut-offs for depression on depressive symptoms measures. Among the currently depressed, the majority (83.0%) had a formal depression diagnosis. Despite being no more likely than males to be currently depressed, females (biological sex) were more likely to have received a depression diagnosis. As for depression treatment, 58.5% of currently depressed adults were currently being treated, and 68% had previously received treatment. Medication was the most common form of treatment, followed by individual therapy. Likelihood of receiving depression treatment was higher among those with a formal depression diagnosis and with higher levels of education. Adults reported several barriers to accessing treatment for depression, including financial and insurance issues, accessibility to appropriate care, and professionals' lack of understanding about depression in autism.

The goal of the current study was to test associations between various ASD-related behavior problems and negative peer experiences in adolescents with ASD. Data were obtained from the Bullying and School Experiences of Children with ASD Survey completed by parents in the Interactive Autism Network (IAN). The current study focused on data from 279 parents of 7th-11th graders with ASD who spent at least half of the school day in a general education setting. Logistic regression analyses found that frequent meltdowns, poor hygiene, rigid rule-keeping, and self-injury were associated with negative peer experiences. Surprisingly, repetitive behaviors and verbal tics were associated with a lower likelihood of experiencing verbal victimization.

Research studies using existing samples of individuals with autism spectrum disorders have identified differences in symptoms between males and females. Differences are typically reported in school age and adolescence, with similarities in symptom presentation at earlier ages. However, existing studies on sex differences are significantly limited, making it challenging to discern if, how, and at what point in development females with autism spectrum disorder actually exhibit a different behavioral presentation than males. The purpose of this study was to gather impressions from a large group of clinicians to isolate specific areas for future study of sex differences. Clinicians were surveyed about their opinions and perceptions of symptom severity in females, as compared to males, at different points during development. They were also asked to provide open-ended responses about female symptom presentation. Consistent with previous literature, clinicians noted more sex-related differences in restricted and repetitive behaviors and fewer differences for social communication features. Differences were most commonly observed in school age and adolescence, suggesting this time period as a critical and particularly vulnerable window for females with autism spectrum disorder. The results are discussed in the context of other male/female differences across development so that more targeted investigations of autism spectrum disorder sex differences across development.

Background: Minimally verbal (MV) children with autism spectrum disorder (ASD) are often assumed to be profoundly cognitively impaired and excluded from analyses due to challenges completing standardized testing protocols. A literature aimed at increasing understanding of this subgroup is emerging; however, the many methods used to define MV status make it difficult to compare studies. Understanding how different instruments and definitions used to identify MV children affect sample composition is critical to advance research on this understudied clinical population. Method: The MV status of 1,470 school-aged children was defined using five instruments commonly used in ASD research. MV sample composition was compared across instruments. Analyses examined the proportion of overlap across MV subgroups and the extent to which child characteristics varied across MV subgroups defined using different definitions or combinations of measures. Results: A total of 257 children were classified as MV on at least one instrument. Proportion of overlap between definitions ranged from 3% to 100%. The stringency of definition (i.e. few-to-no vs. some words) was associated with differences in cognitive and adaptive functioning; more stringent definitions yielded greater consistency of MV status across instruments. Cognitive abilities ranged from profoundly impaired to average intelligence; 16% had NVIQ = 70. Approximately half exhibited verbal skills commensurate with nonverbal cognitive ability, whereas half had verbal abilities significantly lower than their estimated NVIQ. Conclusions: Future studies of MV children must carefully consider the methods used to identify their sample, acknowledging that definitions including children with "some words" may yield larger samples with a wider range of language and cognitive abilities. Broadly defined MV samples may be particularly important to delineate factors interfering with language development in the subgroup of children whose expressive impairments are considerably below their estimated nonverbal cognitive abilities.

In autism spectrum disorders, results of cognitive testing inform clinical care, theories of neurodevelopment, and research design. The Wechsler Intelligence Scale for Children and the Stanford-Binet are commonly used in autism spectrum disorder evaluations and scores from these tests have been shown to be highly correlated in typically developing populations. However, they have not been compared in individuals with autism spectrum disorder, whose core symptoms can make testing challenging, potentially compromising test reliability. We used a within-subjects research design to evaluate the convergent validity between the Wechsler Intelligence Scale for Children, 4th ed., and Stanford-Binet, 5th ed., in 40 youth (ages 10-16?years) with autism spectrum disorder. Corresponding intelligence scores were highly correlated (r?=?0.78 to 0.88), but full-scale intelligence quotient (IQ) scores (t(38)?=?-2.27, p?=?0.03, d?=?-0.16) and verbal IQ scores (t(36)?=?2.23, p?=?0.03; d?=?0.19) differed between the two tests. Most participants obtained higher full-scale IQ scores on the Stanford-Binet, 5th ed., compared to Wechsler Intelligence Scale for Children, 4th ed., with 14% scoring more than one standard deviation higher. In contrast, verbal indices were higher on the Wechsler Intelligence Scale for Children, 4th ed., Verbal-nonverbal discrepancy classifications were only consistent for 60% of the sample. Comparisons of IQ test scores in autism spectrum disorder and other special groups are important, as it cannot necessarily be assumed that convergent validity findings in typically developing children and adolescents hold true across all pediatric populations.

Nonverbal IQ (NVIQ) was examined in 84 individuals with autism spectrum disorder (ASD) followed from age 2 to 19. Most adults who scored in the range of intellectual disability also received scores below 70 as children, and the majority of adults with scores in the average range had scored in this range by age 3. However, within the lower ranges of ability, actual scores declined from age 2 to 19, likely due in part to limitations of appropriate tests. Use of Vineland-II daily living skills scores in place of NVIQ did not statistically improve the correspondence between age 2 and age 19 scores. Clinicians and researchers should use caution when making comparisons based on exact scores or specific ability ranges within or across individuals with ASD of different ages.

Daily living skills standard scores on the Vineland Adaptive Behavior Scales-2nd edition were examined in 417 adolescents from the Simons Simplex Collection. All participants had at least average intelligence and a diagnosis of autism spectrum disorder. Descriptive statistics and binary logistic regressions were used to examine the prevalence and predictors of a "daily living skills deficit," defined as below average daily living skills in the context of average intelligence quotient. Approximately half of the adolescents were identified as having a daily living skills deficit. Autism symptomatology, intelligence quotient, maternal education, age, and sex accounted for only 10% of the variance in predicting a daily living skills deficit. Identifying factors associated with better or worse daily living skills may help shed light on the variability in adult outcome in individuals with autism spectrum disorder with average intelligence.

Restricted interests and repetitive behaviors vary widely in type, frequency, and intensity among children and adolescents with autism spectrum disorder. They can be stigmatizing and interfere with more constructive activities. Accordingly, restricted interests and repetitive behaviors may be a target of intervention. Several standardized instruments have been developed to assess restricted interests and repetitive behaviors in the autism spectrum disorder population, but the rigor of psychometric assessment is variable. This article evaluated the readiness of available measures for use as outcome measures in clinical trials. The Autism Speaks Foundation assembled a panel of experts to examine available instruments used to measure restricted interests and repetitive behaviors in youth with autism spectrum disorder. The panel held monthly conference calls and two face-to-face meetings over 14 months to develop and apply evaluative criteria for available instruments. Twenty-four instruments were evaluated and five were considered "appropriate with conditions" for use as outcome measures in clinical trials. Ideally, primary outcome measures should be relevant to the clinical target, be reliable and valid, and cover the symptom domain without being burdensome to subjects. The goal of the report was to promote consensus across funding agencies, pharmaceutical companies, and clinical investigators about advantages and disadvantages of existing outcome measures.

In this article, we analyzed research studies in the field of graduate education. In particular, we explored the issue of inequity in graduate education through three key lenses of social science analyses. Furthermore, we analyzed selected quantitative research studies that undertook a comparative examination of aggregate trends in enrollment and completion of graduate programs across race, ethnicity, and gender. We examined selected social theories that help surface the intergenerational and social nature of predictors of participation in graduate school. Finally, we reviewed selected diversity programs in which the issue of inequity was addressed. Highlighted in our discussion is the importance of graduate education to both individuals and society, the underrepresentation of ethnic minority students in the graduate education pipeline and degree holding population, student support and diversity programs and initiatives, and the variety of research studies conducted in higher education with regard to minority participation and success.

Research suggests that restricted and repetitive behaviors (RRBs) can be subdivided into Repetitive Sensory Motor (RSM) and Insistence on Sameness (IS) behaviors. However, because the majority of previous studies have used the Autism Diagnostic Interview-Revised (ADI-R), it is not clear whether these subcategories reflect the actual organization of RRBs in ASD. Using data from the Simons Simplex Collection (n = 1,825), we examined the association between scores on the ADI-R and the Repetitive Behavior Scale-Revised. Analyses supported the construct validity of RSM and IS subcategories. As in previous studies, IS behaviors showed no relationship with IQ. These findings support the continued use of RRB subcategories, particularly IS behaviors, as a means of creating more behaviorally homogeneous subgroups of children with ASD.

Scores on the autism spectrum quotient (AQ) were examined in 65 adults with ASD. Maternal reports of symptoms were collected simultaneously using the autism diagnostic interview-revised (ADI-R) and the Vineland Screener. A slightly revised AQ administration procedure was used to accommodate adults with below average IQ. AQ scores were lower than in the original validation study, with only 11 adults (17%) scoring above the proposed diagnostic cut-off and 24 (27%) exceeding the screening cut-off. Adults with higher IQs endorsed more symptoms than those with below average intelligence, but even when analyses were restricted to the 39 adults with at least average IQ, only 44% met the screening cut-off. AQ scores were not significantly correlated with ADI-R or Vineland scores. (Contains 4 tables and 2 figures.)

Despite widespread use of the Mullen Scales of Early Learning (MSEL; E. M. Mullen, 1995) as a cognitive test for children with autism spectrum disorders and other developmental disabilities, the instrument has not been independently validated for use in these populations. Convergent validity of the MSEL and the Differential Ability Scales (DAS; C. D. Elliott, 1990, 2007) was examined in 53 children with autism spectrum disorder and 19 children with nonspectrum diagnoses. Results showed good convergent validity with respect to nonverbal IQ (NVIQ), verbal IQ (VIQ), and NVIQ-VIQ profiles. These findings provide preliminary support for the practice of using MSEL age-equivalents to generate NVIQ and VIQ scores. Establishing convergent validity of cognitive tests is needed before IQs derived from different tests can be conceptualized as a uniform construct.

Mothers of 110 children with autism spectrum disorders (ASD) were interviewed with the Child and Adolescent Impact Assessment when their children were approximately 9 years old. Regression analyses revealed that African American mothers reported lower levels of perceived negative impact of having a child with ASD than did Caucasian mothers. Higher repetitive behavior scores on the Autism Diagnostic Interview-Revised, lower adaptive behavior scores on the Vineland Adaptive Behavior Scales, and less perceived social support were also significant predictors of higher perceived negative impact. Identifying predictors of perceived negative impact is an important first step in designing interventions to support families and target parents who may be at risk for experiencing higher levels of stress.

Restricted and repetitive behaviors (RRBs) on the Autism Diagnostic Interview- Revised (ADI-R: Lord, Rutter, & Le Couteur (1994) were examined in 165 children with Autism Spectrum Disorders (ASD), 49 children with non-spectrum developmental disorders (DD), and 65 children with typical development (TD) at approximately 2 years of age. A factor analysis found evidence for a repetitive sensorimotor (RSM) factor and an insistence on sameness (IS) factor. Behaviors that loaded on the RSM factor were prevalent in children with ASD and significantly more common and severe than in children with DD or TD. On average, children with ASD had more RSM behaviors. Behaviors that loaded on the IS factor were relatively uncommon and did not differ in prevalence or severity across groups.