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It is essential to recognize the strengths and talents of autistic individuals. Previous studies of extraordinary talents (i.e. skills that stand out relative to the general population) have combined individuals with different skills (e.g. calendrical calculation, drawing) into one group. There has been limited investigation of talents in specific areas and even less consideration of personal strengths (i.e. skills that stand out relative to that person’s other abilities, but not the general population). We extend this literature by examining the relationship between parent-reported talents and strengths and performance on standardized cognitive tests in 1470 children (4–18 years) from the Simons Simplex Collection with autism and IQ above 70. Almost half (46%) had at least one parent-reported talent and an additional 23% without extraordinary talents had at least one personal strength. Children with parent-reported talents and strengths had different cognitive profiles than children with no reported skill in visuospatial, drawing, computation, or music. Those highlighted for their memory abilities had somewhat more even verbal and nonverbal abilities, relative to children whose memory was not emphasized as a special skill. These results emphasize the importance of exploring strengths separately by domain and a need for more research in this area. Lay abstract Previous research has suggested that focusing on impairments can be detrimental to the well-being of autistic individuals, yet little research has focused on strengths and positive qualities in autism. Some studies explored “savant skills” (herein referred to as “extraordinary talents”), that is, skills that stand out compared to the general population. These often group everyone who has a specific talent, rather than exploring subgroups with strengths in specific areas. There has been even less research focused on personal strengths (i.e. skills that stand out relative to the individual’s other abilities, but not the general population). To expand this research, we use a sample of 1470 children (ages 4–18 years) from the Simons Simplex Collection without cognitive impairment to examine the relationship between having a parent-reported skill in a specific area and performance on a standardized cognitive test. Almost half (46%) had at least one parent-reported talent and an additional 23% without extraordinary talents had at least one personal strength. Children with these parent-reported skills had different patterns of performance on these standardized tests than children without skills in that area (i.e. visuospatial, drawing, computation, reading, and memory). Specific skills in computation or reading were associated with higher overall performance on the standardized tests. These results emphasize the importance of considering strengths separately by area, rather than combining individuals with different types of strengths. The high number of children with skills in this study underscores the need for more research in this area, particularly using instruments focused on understanding the nuances of these strengths. It is important for future studies to consider these skills in children with cognitive impairment.

The COVID‐19 pandemic has disrupted autism research and services. Early career researchers (ECRs) are particularly vulnerable to the impact of the pandemic on job security and career development. The goal of this study was to capture the challenges ECRs are facing during the pandemic and the supports that are needed for career development and research. ECRs were invited to complete an online survey that focused on four major areas; the impact of COVID‐19 on their research; changes in productivity due to COVID‐19; changes to training due to COVID‐19; and current mental health. 150 ECRs were eligible and provided sufficient data for inclusion. All but one ECRs reported their research had been negatively impacted by the pandemic. Reductions in productivity were reported by 85% of ECRs. The biggest impacts included recruitment of participants, increased needs at home and personal mental health. ECRs reported a 3‐fold increase in burnout, as well as increased anxiety. ECR supports, such as funding, flexibility, and tenure extensions, are required to ensure ASD research does not suffer from a “lost generation” of researchers. Lay Summary The COVID‐19 pandemic has had negative impacts on research around the world. Loss of productivity impedes autism research discoveries. However, researchers in the earliest phases of their career, specifically postdoctoral fellows through individuals in assistant professor (or equivalent) positions, are particularly vulnerable to long‐lasting effects of pandemic‐related disruptions which may limit their ability to continue as autism researchers. This survey highlights the needs of this group and identifies mechanisms by which these early career researchers may be supported in this time. This is critical to ensure the next generation of ASD researchers and clinician scientists continue on the path to advancing understanding of autism in the decades to come.

Background Because of its centrality in the conceptualization of intellectual disability, reliable and valid measurement of adaptive behaviour is important to both research and clinical practice. The manual of the Vineland Adaptive Behavior Scales, recently released in its third edition, provides limited reliability information obtained from a sample composed primarily of typically developing individuals. The goal of this study was to evaluate the concordance of the Vineland-3 with the Vineland-II in a sample more similar in ability level to those in which the Vineland is commonly used. Methods Both editions of the Vineland Interviews were conducted with a convenience sample of 106 parents/caregivers of individuals with neurodevelopmental disability, participating at two neurodevelopmental disorder research clinics. Administrations were up to 7 days apart, but most (90%) were simultaneous. The concordance correlation coefficient (CCC) (95% confidence interval) and mean differences (95% confidence interval) were calculated for domain standard scores and subdomain v-scale scores. Results Domain-level CCC ranged from 0.78 [0.70, 0.84] (Communication) to 0.86 [0.76, 0.92] (Motor). Subdomain CCC ranged from 0.71 [0.62, 0.78] (Receptive Language) to 0.91 [0.85, 0.95] (Fine Motor). Vineland-3 scores were lower than Vineland-II scores; 77% of participants had lower Adaptive Behavior Composite scores on the Vineland-3 than on the Vineland-II. For the subdomains, the magnitude of this difference depended upon the level of adaptive behaviour. For Communication, the domain with the lowest CCC, the mean difference ranged from -13.70 [-8.03, -19.35] for a Vineland-II score or 85 to a difference of -19.18 [-12.28, -26.87] for a Vineland-II score of 40. Discussion Amongst individuals with intellectual and developmental disabilities, the Vineland-3 produces lower scores than the Vineland-II, and these clinically significant differences tend to be larger for individuals with lower levels of ability. Thus, care must be taken in interpreting scores from the Vineland-3 relative to those obtained from the previous edition.

There has been increasing attention to the assessment of minimally verbal (MV) children with autism spectrum disorder (ASD). Previous research has begun to examine the relationship between verbal abilities and emotional and behavioral problems (EBP). The current study compared parent-reported EBP in children of differing language levels on two instruments commonly used in ASD research and clinical practice, the Child Behavior Checklist (CBCL) and Aberrant Behavior Checklist (ABC). The study consisted of 1,937 6-18 years old children with ASD from the Simons Simplex Collection. Children were divided into three language groups, by ADOS module (Module 1 = MV, 2 = phrase speech (PS), and 3 = verbally fluent (VF)) and then compared on CBCL and ABC subscales. The ABC and CBCL showed different patterns of elevations across the language groups. MV children were reported to have more impairment than VF children on the ABC irritability, lethargy, and hyperactivity scales. Children with less language (MV and PS) exhibited less impairment on the CBCL internalizing domain than VF children, but did not differ on the externalizing domain. Post hoc comparisons showed that internalizing differences were driven by fewer children with less language exhibiting clinically elevated anxious/depressed scores compared to VF children. The present study underscores the significance of considering language when assessing EBP. Results have implications for the psychiatric screening of children with ASD, particularly those with language impairments. Researchers should exercise caution when applying EBP instruments designed for use with different populations and purposes to broad samples of children. Autism Res 2019, 12: 1367-1375. © 2019 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Some emotional and behavioral problem (EBP) scales include items that may be inappropriate for children with ASD and limited language. The present study found that there was a tendency for children with language impairment to have lower internalizing scores on the Child Behavior Checklist, but higher scores lethargy and irritability scores on the Aberrant Behavior Checklist, relative to verbally fluent children. This suggests that each of these instruments may underestimate EBPs in certain subsets of children.

Research has documented elevated rates of co-occurring depression and anxiety in autistic adults, with some noting particularly high rates for autistic students enrolled in postsecondary education. Difficulty coping with the stressors that accompany daily life as they navigate college campuses may contribute to development or exacerbation of co-occurring conditions. Autistic students have reported that depression, anxiety and stress interfere with their success in college, but that they have difficulty identifying and accessing the supports that they need. Though many postsecondary institutions have established programs that provide academic supports to autistic students, few programs directly support mental health and wellness. Recently, stakeholders have advocated for mental health to be prioritized in adult autism research. We suggest that a specific focus on autistic students in postsecondary education is warranted and provide a brief overview of the relatively limited literature in this area. To inform development of mental health services and supports that will be both accessible and acceptable to the range of autistic students attending postsecondary education, research is recommended in four areas: factors positively and negatively affecting mental health; types of supports; outreach; on-campus training and education. It will be essential for researchers to establish community partnerships with autistic individuals to inform study design and specific research questions. This will ensure that autistic voices guide development of supports that will foster positive mental health in postsecondary education and beyond.

BACKGROUND: Restricted and repetitive behaviors (RRBs) are core features of autism. Factor-analytic studies comprised primarily of children have provided evidence for two domains of RRBs: Repetitive Sensory Motor (RSM) and Insistence on Sameness (IS) behaviors. The present study explores the validity of the Autism Diagnostic Interview-Revised (ADI-R) and the Repetitive Behavior Scale-Revised (RBS-R) for assessing these RRB subtypes in autistic adolescents and adults. METHODS: The sample included 293 participants (M(age)=19.89, SD=4.88 years) whose RRBs were assessed via ADI-R or RBS-R Caregiver-report or RBS-R Self-Report. Confirmatory factor analysis (CFA) was conducted to assess the validity of the two-factor structure for each instrument. Cronbach’s alpha was computed to assess subscale reliability. Correlations were examined between instrument subscales, NVIQ and age. RESULTS: Exploratory correlations were modest and provided weak evidence in favor of the utility of a CFA for the ADI-R. The RBS-R Caregiver and Self-Report CFA and internal consistencies supported the two-factor RSM and IS model tested. Consistent with previous literature, NVIQ was negatively correlated with the RBS-R Caregiver RSM subscale, but not meaningfully associated with IS. Neither RBS-R Self-Report subscale were meaningfully correlated with NVIQ. Across instruments, RSM subscales were correlated, but associations between IS were minimal. CONCLUSIONS: The present study provides initial support for the use of the RBS-R Caregiver and Self-Report to measure dimensions of RSM and IS behaviors in autistic adolescents and adults. The present data did not support the use of the ADI-R to assess these RRB subtypes in older individuals. Conclusions must be interpreted cautiously in light of the present study’s sample limitations. Additional research is needed to understand differences in caregiver and self-reported RRBs. Further research on RRBs in autistic adolescents and adults, particularly in samples of greater gender and racial/ethnic diversity, is critical to inform community understanding and knowledge of autism in adulthood.

In "The Need for a Clinically Useful Schema of Social Communication," Blank etal. present an observation and coding method (The Initiating, Responding, Expectancy Violations [IREV] schema) for identifying "expectancy violations (EVs)," which may signal clinically significant departures from normal social communication behavior (eg, in individuals with autism spectrum disorder [ASD]).1 The authors point out that "historically, observation of a patient's (social communication) has not been part of the routine psychiatric mental status examination," and argue that this is an important missed opportunity for clinicians. Several direct observation methods exist for identifying and/or monitoring changes in social communication deficits associated with ASD.2 Despite their established diagnostic validity, it remains true that these measures used in isolation will result in a relatively high rate of "false positives"-usually comprising children who are better described with other diagnoses (eg, intellectual disability, language disorder, attention-deficit/hyperactivity disorder [ADHD]).2 This underscores the critical importance of context when interpreting observed social communication deficits.

The autism spectrum disorder (ASD) research community is increasingly considering the importance of measuring outcomes that are meaningful to individuals with ASD and their families. The 2017 IMFAR preconference aimed to gain the perspectives of how to define and measure "meaningful outcomes" from 280 participants, including people with ASD and their families, service providers, and researchers. Six themes were identified: (a) the definition of "outcome" varies by context and perspective; (b) the need to broaden the scope of what researchers measure; (c) the need for new assessment tools; (d) the need to expand data analytic methods; (e) where to focus (with emphasis on considering different developmental stages and aspects of diversity); and (f) a need for community partnerships to bridge research and daily practice. The challenge that the research community now faces is how to move the evidence base for clinical practice forward while keeping alive the divergence of views and considerations that are relevant for thinking about complex outcomes for the highly heterogeneous group of individuals with ASD. This commentary provides recommendations, with an emphasis on lifespan viewpoints that encompass individual strengths and preferences. Autism Research 2018, 11: 1446-1454. © 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The 2017 IMFAR preconference aimed to gain the perspectives of how to define and measure "meaningful outcomes" from a variety of stakeholders. This commentary outlines the six themes identified from keynote and panel presentations and audience-participated discussions. Recommendations are made to emphasize perspectives that look across the lifespan and encompass individual strengths and preferences.

The original version of the article has contained an error in Table 3 (the organization of Module 2 items into the Basic Social Communication and Interaction Quality factors was incorrect). The updated table is given below and it shows the correct organization (7 Basic and 3 Interaction Quality items).

Literature indicates that some children with ASD may show behavioral improvements during fever; however, little is known about the behavioral profiles of these children. This study aims to (a) investigate the subset of children who show parent-reported behavioral improvements associated with fever and (b) compare the demographic, behavioral, and genetic characteristics of this subset of children to children whose parents report no change during fever. Parents of 2,152 children from the Simons Simplex Collection provided information about whether and in which areas their child improved during fever. Children were randomly assigned into discovery or replication samples. In discovery analyses, children who reportedly improved with fever (Improve Group) were compared to those who reportedly did not improve (No Improve Group) on demographics, medical history, ASD symptoms, adaptive skills, and presence of de novo ASD-associated mutations. Significant and marginal results from discovery analyses were tested in the replication sample. Parent reports of 17% of children indicated improvements during fever across a range of domains. Discovery and replication analyses revealed that the Improve Group had significantly lower non-verbal cognitive skills (NVIQ) and language levels and more repetitive behaviors. Groups did not differ on demographic variables, parent-report of current ASD symptoms or the presence of de novo mutations. Understanding the profiles of children who improve during episodes of fever may provide insights into innovative treatments for ASD. Autism Res 2018, 11: 175-184. © 2017 International Society for Autism Research, Wiley Periodicals, Inc. Lay summary This study explored characteristics of children with ASD who are reported to improve during fever. Parents of 17% of children with ASD report improvements across a range of domains during fever including cognition, communication, repetitive behaviors, social interaction, and behavior. Children who are reported to improve during fever have significantly lower non-verbal cognitive skills and language levels and more repetitive behaviors. Understanding the profiles of children who improve during episodes of fever may provide insights into new treatments for ASD.

Few measures are appropriate to assess autism symptoms in minimally verbal adolescents and adults. The Autism Diagnostic Observation Schedule, 2nd Edition (ADOS-2, Lord et al., in Autism diagnostic observation schedule-2nd edition (ADOS-2). Western Psychological Services, Los Angeles, 2012) Modules 1 and 2 were designed and validated with children whose spoken language ranges from few- to- no words to phrase speech. This study describes the development and initial validation of the Adapted-ADOS (A-ADOS), which includes tasks, materials and behavioral codes modified to be suitable for assessing older minimally verbal individuals. A-ADOS algorithms exhibit comparable sensitivity and improved specificity relative to ADOS-2 Modules 1 and 2. Although further validation is needed, the A-ADOS will facilitate research to further understanding of minimally verbal adults and symptom trajectories across the lifespan.

BACKGROUND: Studies estimate that 30% of individuals with autism are minimally verbal. Understanding what factors predict longer-term expressive development in children with language delays is critical to inform identification and treatment of those at-risk for persistent language impairments. The present study examined predictors of expressive language development in language-delayed preschoolers followed through later school-age and young adulthood. METHODS: Children using single words or less on the Autism Diagnostic Observation Schedule (ADOS) at approximately 3 years old were drawn from the Early Diagnosis (EDX) and Pathways in ASD longitudinal cohorts. Age-3 predictors of Age-19 ADOS language level were identified using Classification and Regression Trees (CART) in the EDX sample. Linear mixed models examined the effects of CART-identified predictors on Vineland expressive communication (VExp) trajectories from Age-3 to Age-19. The same linear mixed models were examined in the Pathways sample, identifying predictors of VExp from ages 3 to 10.5 years. RESULTS: Significantly delayed fine motor skills (T-score < 20) was the strongest CART predictor of Age-19 language. In the linear mixed models, time, Age-3 fine motor skills and initiation of joint attention (IJA) predicted VExp trajectories in the EDX sample, even when controlling for Age-3 visual receptive abilities. In the Pathways sample, time and Age-3 fine motor skills were significant predictors of VExp trajectories; IJA and cognitive skills were not significant predictors. CONCLUSIONS: Marked deficits in fine motor skills may be a salient proxy marker for identifying language-delayed children with ASD who are at risk for persistent language impairments. This finding adds to the literature demonstrating a relation between motor and language development in ASD. Investigating individual skill areas (e.g., fine motor and nonverbal problem-solving skills), rather than broader indices of developmental level (e.g., nonverbal IQ) may provide important cues to understanding longer-term language outcomes that can be targeted in early intervention.

This study assessed the utility of a brief assessment (the Peabody Picture Vocabulary Test-4th Edition; PPVT4) as a proxy for verbal IQ (VIQ) in large-scale studies of autism spectrum disorder (ASD). In a sample of 2,420 proband with ASD, PPVT4:IQ correlations were strong. PPVT4 scores were, on average, 5.46 points higher than VIQ; 79% of children had PPVT4 scores within one standard deviation (+/-15) of their VIQ and 90% were similarly classified as having abilities above or below 70 on both measures. Distributions of PPVT4 and VIQ by de novo mutation status were highly similar. These results strongly support the utility of PPVT4 as a proxy for VIQ in large-scale ASD studies, particularly for genetic investigations.

This study reports on the initial validation of the Autism Symptom Interview (ASI), School-Age, a brief (15-20 min) phone interview derived from questions from the Autism Diagnostic Interview-Revised (ADI-R). The ASI, School-Age was administered by interviewers with minimal training to parents of children ages 5 to 12 who had all been previously identified with (or referred for assessment of) ASD or another neurodevelopmental disorder. Children then underwent a comprehensive assessment to determine a best-estimate clinical diagnosis of ASD (n = 159) or non-ASD (e.g. language disorder, intellectual disability, ADHD; n = 130). Clinicians who conducted the assessments were blind to ASI results. ROC analyses compared ASI scores to clinical diagnosis. Due to the small number of participants with non-ASD diagnoses who were classified as nonverbal (i.e. not yet using phrases on a daily basis), it was not possible to assess sensitivity and specificity of the nonverbal algorithm in this sample. The verbal algorithm yielded a sensitivity of 0.87 (95% CI = 0.81-0.92) and a specificity of 0.62 (95% CI = 0.53-0.70). When used in conjunction with the Autism Diagnostic Observation Schedule (ADOS), sensitivity and specificity were 0.82 (95% CI = 0.74-0.88) and 0.92 (95% CI = 0.86-0.96), respectively. Internal consistency and test-retest reliability were both excellent. Particularly for verbal school age children, the ASI may serve as a useful tool to more quickly ascertain or classify children with ASD for research or clinical triaging purposes. Additional data collection is underway to determine the utility of the ASI in children who are younger and/or nonverbal. Autism Res 2017, 10: 78-88. © 2016 International Society for Autism Research, Wiley Periodicals, Inc.

Raw totals from diagnostic and screening measures for autism spectrum disorder (ASD) are frequently used as dimensional measures of autism symptom severity without appropriate correction for confounding factors, such as developmental level or non-ASD-specific behavior problems. Although these associated features are important to consider when diagnosing ASD and developing intervention plans, both researchers and clinicians sometimes need metrics of ASD severity that are not influenced by these factors. The Autism Diagnostic Observation Schedule (ADOS) domain calibrated severity scores (CSS) were created to provide separate estimates of social affect (SA-CSS) and restricted, repetitive behaviors (RRB-CSS) that are relatively independent of child characteristics (Hus et al., 2014). Using a sample of 2,509 probands with ASD from the Simons Simplex Collection (SSC), this study provides the first replication of the ADOS domain CSS in an independent sample. Consistent with the original standardization study, when applied to existing SSC data, the ADOS domain CSS were less influenced by age and cognitive ability compared to raw domain totals. Domain CSS were also relatively independent of behavior problems. Use of the ADOS domain CSS to assess relationships between ASD symptoms and genetic risk factors will increase confidence that associations reflect domain-specific relationships. Scores also offer less developmentally-influenced estimates of ASD severity for future phenotypic explorations in the SSC. This independent replication provides support for the application of the ADOS domain CSS in other samples, though further replication in population-based samples will be an important next step.

Objective This study examined early predictors of and changes in school-age academic achievement and class placement in children referred for autism spectrum disorder (ASD) at age 2. Method Of 111 ASD referrals, 74 were diagnosed with ASD at age 18. Regression analyses were performed to identify age 3 predictors of achievement in arithmetic, passage comprehension, word reading, and spelling at ages 9 and 18. Linear Mixed Models were used to examine predictors of academic growth between ages 9 and 18. Results Academic skills varied widely at 9 and 18, but were mostly commensurate with or higher than expected given cognitive levels. However, 22% (age 9) and 32% (age 18) of children with average/above average IQ showed below/low average achievement in at least one academic domain. Children who remained in general education/inclusion classrooms had higher achievement than those who moved to special education classrooms. Stronger cognitive skills at age 3 and 9 predicted better academic achievement and faster academic growth from age 9 to 18. Parent participation in intervention by age 3 predicted better achievement at age 9 and 18. Conclusions Many children with ASD achieve basic academic skills commensurate with or higher than their cognitive ability. However, more rigorous screening for learning difficulties may be important for those with average cognitive skills because a significant minority show relative academic delays. Interventions targeting cognitive skills and parent participation in early treatment may have cascading effects on long-term academic development.

OBJECTIVE: Aside from features associated with risk of neurogenetic syndromes in general (e.g., cognitive impairment), limited progress has been made in identifying phenotype-genotype relationships in autism spectrum disorder (ASD). The objective of this study was to extend work in the Simons Simplex Collection by comparing the phenotypic profiles of ASD probands with or without identified de novo loss of function mutations or copy number variants in high-confidence ASD-associated genes or loci.METHOD: Analyses preemptively accounted for documented differences in sex and IQ in affected individuals with de novo mutations by matching probands with and without these genetic events on sex, IQ, and age before comparing them on multiple behavioral domains.RESULTS: Children with de novo mutations (N=112) had a greater likelihood of motor delay during early development (later age at walking), but they were less impaired on certain measures of ASD core symptoms (parent-rated social communication abnormalities and clinician-rated diagnostic certainty about ASD) in later childhood. These children also showed relative strengths in verbal and language abilities, including a smaller discrepancy between nonverbal and verbal IQ and a greater likelihood of having achieved fluent language (i.e., regular use of complex sentences).CONCLUSIONS: Children with ASD with de novo mutations may exhibit a "muted" symptom profile with respect to social communication and language deficits relative to those with ASD with no identified genetic abnormalities. Such findings suggest that examining early milestone differences and standardized testing results may be helpful in etiologic efforts, and potentially in clinical differentiation of various subtypes of ASD, but only if developmental and demographic variables are properly accounted for first.

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.

Recent updates have been proposed to the Autism Diagnostic Observation Schedule-2 Module 4 diagnostic algorithm. This new algorithm, however, has not yet been validated in an independent sample without intellectual disability (ID). This multi-site study compared the original and revised algorithms in individuals with ASD without ID. The revised algorithm demonstrated increased sensitivity, but lower specificity in the overall sample. Estimates were highest for females, individuals with a verbal IQ below 85 or above 115, and ages 16 and older. Best practice diagnostic procedures should include the Module 4 in conjunction with other assessment tools. Balancing needs for sensitivity and specificity depending on the purpose of assessment (e.g., clinical vs. research) and demographic characteristics mentioned above will enhance its utility.

Standardized calibrated severity scores (CSS) have been created for Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2) Modules 1–4 as a metric of the relative severity of autism-specific behaviors. Total and domain CSS were created for the Toddler Module to facilitate comparison to other modules. Analyses included 388 children with ASD age 12 to 30 months and were replicated on 435 repeated assessments from 127 children with ASD. Compared to raw scores, associations between total and domain CSS and participant characteristics were reduced in the original sample. Verbal IQ effects on Social Affect-CSS were not reduced in the replication sample. Toddler Module CSS increases comparability of ADOS-2 scores across modules and allows studies of symptom trajectories to extend to earlier ages.

Daily living skills (DLS), such as personal hygiene, meal preparation, and money management, are important to independent living. Research suggests that many individuals with autism spectrum disorder exhibit impairments in daily living skills relative to their cognitive skills. This study examined predictors of daily living skills attainment and trajectories of daily living skills in a longitudinal sample referred for possible autism spectrum disorder and followed from 2 to 21 years of age. Consistent with previous studies, participants with autism spectrum disorder and nonspectrum diagnoses showed continual development of daily living skills throughout childhood and adolescence. Early childhood nonverbal mental age was the strongest predictor of daily living skills attainment for both diagnostic groups. Group-based modeling suggested two distinct trajectories of daily living skills development for participants with autism spectrum disorder. Skill levels for both groups of young adults with autism spectrum disorder remained considerably below age level expectations. Whereas the “High-DLS” group gained approximately 12 years in daily living skills from T2 to T21, the “Low-DLS” group’s daily living skills improved 3–4 years over the 16- to 19-year study period. Nonverbal mental age, receptive language, and social-communication impairment at 2 years predicted High- versus Low-DLS group membership. Receiving greater than 20 h of parent-implemented intervention before age 3 was also associated with daily living skills trajectory. Results suggest that daily living skills should be a focus of treatment plans for individuals with autism spectrum disorder, particularly adolescents transitioning to young adulthood.

OBJECTIVE: Growing awareness that symptoms of autism spectrum disorder (ASD) transcend multiple diagnostic categories, and major advances in the identification of genetic syndromes associated with ASD, have led to widespread use of ASD symptom measures in etiologic studies of neurodevelopmental disorders. Insufficient consideration of potentially confounding factors such as cognitive ability or behavior problems can have important negative consequences in interpretation of findings, including erroneous estimation of associations between ASD and etiologic factors.METHOD: Participants were 388 children 2 to 13 years old with diagnoses of ASD or another neurodevelopmental disorder without ASD. Receiver operating characteristics methods were used to assess the influence of IQ and emotional and behavioral problems on the discriminative ability of 3 widely used ASD symptom measures: the Social Responsiveness Scale (SRS), the Autism Diagnostic Interview-Revised (ADI-R), and the Autism Diagnostic Observation Schedule (ADOS).RESULTS: IQ influenced the discriminative thresholds of the SRS and ADI-R, and emotional and behavioral problems affected the discriminative thresholds of the SRS, ADI-R, and ADOS. This resulted in low specificity of ASD cutoffs on the SRS and ADI-R for children with intellectual disability without ASD (27-42%) and low specificity across all 3 instruments for children without ASD with increased emotional and behavioral problems (36-59%). Adjustment for these characteristics resulted in improved discriminative ability for all of the ASD measures.CONCLUSION: The findings indicate that scores on ASD symptom measures reflect far more than ASD symptoms. Valid interpretation of scores on these measures requires steps to account for the influences of IQ and emotional and behavioral problems.