Analysis of Race and Sex Bias in the Autism Diagnostic Observation Schedule (ADOS-2)

Structural, Institutional, and Interpersonal Racism: Calling for Equity in Autism Research and Practice

Disparities in autism research and practices based on race and ethnicity are evident across many outcomes and life course stages. However, most of the research has focused on outlining differences and not the underlying systemic inequities driving these disparities. In this conceptual paper, we aim to shift the focus by outlining mechanisms of structural racism within the institutions of science, healthcare, and residential segregation and educational systems in the United States (U.S.). We argue that these and other forms of institutional racism constitute structural racism that are influencing the racial and ethnic disparities we see in autism services and care. For each of these institutions, we identify institutional racism related to autism and offer an example of how it shapes interpersonal racism and adverse outcomes, including misdiagnosis, delayed diagnosis, unequal access to educational services, and differential treatment in clinical encounters. We then provide anti-racism approaches in autism research and practice for each of these institutions that addresses institutional and interpersonal racism shaping autism inequities among racial and ethnic minorities. We conclude with a call to action to clinicians, researchers, and others to prioritize and disrupt the impacts of structural, institutional, and interpersonal racism through targeted anti-racism approaches.

Measurement Invariance of the First Years Inventory (FYIv3.1) Across Age and Sex for Early Detection of Autism in a Community Sample of Infants

The use of parent-report screeners for early detection of autism is time- and cost-efficient in clinical settings but their utility may vary by respondent characteristics. This study aimed to examine the degree to which infants' age and sex impacted parental reports of early behavioral signs of autism captured by the First Years Inventory Version 3.1 (FYIv3.1). The current sample included 6,454 caregivers of infants aged 6 to 16 months recruited through the North Carolina vital records. Using moderated nonlinear factor analysis for each of the seven FYIv3.1, we identified differential item functioning in small to medium effect sizes across 18 out of 69 items, with the majority of biases associated with infants' age (e.g., object mouthing, walking, pretend, and imitation), while sex-related biases were minimal. This indicates that differential scoring algorithms by infants' age and more closely spaced monitoring may be needed for these constructs for more accurate identification of autism in infancy.

Sociodemographic Differences Impact the Perceived Importance of Social Communication and Interaction Behaviors

The evaluation of social communication and interaction (SC/I) behaviors is foundational to the autism identification process. However, this type of evaluation is made difficult by the fact that SC/I is a construct in which perceptions and expectations are largely influenced by norms and attitudes of different sociodemographic groups. While there are many factors that influence differences in SC/I behaviors across sociodemographic groups, one factor that may be especially important is the perceived value of these behaviors. The purpose of this study is to investigate which sociodemographic factors influence the perceived importance of SC/I behaviors among caregivers of children and adolescents. Caregivers (n = 398) living in the United States completed the Social Communication and Interaction Perceptions Scale (SCIPS). Linear mixed-effect models were used to investigate the relationship between the perceived importance of SC/I behaviors and seven sociodemographic factors as well as determine if this relationship was moderated by SC/I behavior type (i.e., foundational vs. advanced behaviors). Several different sociodemographic factors (i.e., caregiver race/ethnicity, caregiver gender, household income, child disability status, child age, child gender) were associated with caregiver ratings of the perceived importance of SC/I behaviors. This relation was, in some instances (i.e., caregiver race/ethnicity, caregiver gender, child disability status), moderated by whether the SC/I behaviors were foundational or advanced. Our findings highlight the importance of considering the values of caregivers regarding perceived SC/I importance during the autism identification process.

Demographic Correlates of Autism: How Do Associations Compare Between Diagnosis and a Quantitative Trait Measure?

Prevalence of autism diagnosis has historically differed by demographic factors. Using data from 8224 participants drawn from the Environmental influences on Child Health Outcomes (ECHO) Program, we examined relationships between demographic factors and parent-reported autism-related traits as captured by the Social Responsiveness Scale (SRS; T score > 65) and compared these to relations with parent-reported clinician diagnosis of ASD, in generalized linear mixed effects regression analyses. Results suggested lower odds of autism diagnosis, but not of SRS T > 65, for non-Hispanic Black children (adjusted odds ratio [OR] = 0.76, 95% CI 0.55, 1.06) relative to non-Hispanic White children. Higher maternal education was associated with reduced odds of both outcomes (OR = 0.73, 95% CI 0.51, 1.05 for ASD autism diagnosis and 0.4, 95% CI 0.29, 0.55 for SRS score). In addition, results suggested a lower likelihood of autism diagnosis but a higher likelihood of an SRS score > 65 in Black girls. Findings suggest lower diagnostic recognition of autism in non-Hispanic Black children, despite a similar degree of SRS-assessed autism-related traits falling in the clinically elevated range. Further work is needed to address this disparity.

Examining Diagnostic Trends and Gender Differences in the ADOS-II

Approximately 3-4 boys for every girl meet the clinical criteria for autism in studies of community diagnostic patterns and studies of autism using samples of convenience. However, girls with autism have been hypothesized to be underdiagnosed, possibly because they may present with differing symptom profiles as compared to boys. This secondary data analysis used the National Database of Autism Research (NDAR) to examine how gender and symptom profiles are associated with one another in a gold standard assessment of autism symptoms, the Autism Diagnostic Observation Schedule II (ADOS-II; Lord, C., Luyster, R., Guthrie, W., & Pickles A. (2012a). Patterns of developmental trajectories in toddlers with autism spectrum disorder. Journal of Consulting and Clinical Psychology, 80(3):477-489. https://doi.org/10.1037/a0027214 . Epub 2012 Apr 16. PMID: 22506796, PMCID: PMC3365612). ADOS-II scores from 6183 children ages 6-14 years from 78 different studies in the NDAR indicated that gender was a significant predictor of total algorithm, restrictive and repetitive behavioral, and social communicative difficulties composite severity scores. These findings suggest that gender differences in ADOS scores are common in many samples and may reflect on current diagnostic practices.

Improving fMRI-Based Autism Severity Identification via Brain Network Distance and Adaptive Label Distribution Learning

Machine learning methodologies have been profoundly researched in the realm of autism spectrum disorder (ASD) diagnosis. Nonetheless, owing to the ambiguity of ASD severity labels and individual differences in ASD severity, current fMRI-based methods for identifying ASD severity still do not achieve satisfactory performance. Besides, the potential association between brain functional networks(BFN) and ASD symptom severity remains under investigation. To address these problems, we propose a low&high-level BFN distance method and an adaptive multi-label distribution(HBFND-AMLD) technique for ASD severity identification. First, a low-level and high-level BFN distance(HBFND) is proposed to construct BFN that reflects differences in ASD severity. This method can measure the distance between the ASD and the health control(HC) on the low-order and high-order BFN respectively, which can distinguish the severity of ASD. After that, a multi-task network is proposed for ASD severity identification which considers the individual differences of ASD severity in communication and society, which considers the individual differences in language and social skills of ASD patients. Finally, a novel adaptive label distribution(ALD) technique is employed to train the ASD severity identification model, effectively preventing network overfitting by restricting label probability distribution. We evaluate the proposed framework on the public ABIDE I dataset. The promising results obtained by our framework outperform the state-of-the-art methods with an increase in identification performance, indicating that it has a potential clinical prospect for practical ASD severity diagnosis.

Caregiver Perceptions of Social Communication and Interaction: Development and Validation of the SCIPS

Social communication and interaction (SC/I) skill quality may be influenced by cultural values, norms, and expectations. Because difficulties in SC/I is a core criterion for identifying autism and is a frequent construct of interest in autism research, a measure designed to capture cross-cultural differences in the perspectives of SC/I skills is warranted. To address this need we developed and validated the Social Communication and Interaction Perceptions Scale (SCIPS), a caregiver report measure for children ages 6-18 years, that measures both frequency and perceived importance of various SC/I skills. Results from 401 diverse caregiver participants showed that for both domains (i.e., Frequency and Importance) the SCIPS has good reliability (α = 0.88-0.95) and two factors that examine basic and advanced aspects of SC/I skills. Findings support the use of the SCIPS as a measure of caregiver perspectives of SC/I skills in clinical and research contexts.

Sex-specific DNA methylation signatures of autism spectrum disorder in newborn blood

Background

Autism spectrum disorder (ASD) comprises a group of neurodevelopmental conditions currently diagnosed by behavioral assessment in childhood, although neuropathology begins during gestation. A poorly understood male bias for ASD diagnosis is thought to be due to both biological sex differences and cultural biases against female diagnosis of ASD. Identification of molecular biomarkers of ASD likelihood in newborns would provide more objective screening and early intervention. Epigenetic dysregulation has been reported in multiple tissues from newborns who are later diagnosed with ASD, but this is the first study to investigate sex-specific DNA methylation signatures for ASD in newborn blood, an accessible and widely banked tissue.

Methods

DNA methylation was assayed from ASD and typically developing (TD) newborn blood (discovery set n = 196, replication set n = 90) using whole genome bisulfite sequencing (WGBS). Sex-stratified differentially methylated regions (DMRs) were assessed for replication, comparisons by sex, overlaps with DMRs from other tissues, and enrichment for biological processes and SFARI ASD-risk genes.

Results

We found that newborn blood ASD DMRs from both sexes significantly replicated in an independent cohort and were enriched for hypomethylation in ASD compared to TD samples, as well as location in promoters, CpG islands and CpG shores. Comparing females and males, we found that most DMRs with sex differences amongst TD individuals were also found in ASD individuals, plus many additional DMRs with sex differences that were only found in those with ASD. Newborn blood DMRs from females were enriched for the X chromosome and both sexes showed significant overlap with DMRs from umbilical cord blood and placenta but not post-mortem cortex. DMRs from all tissues were enriched for neurodevelopmental processes (females) and SFARI ASD-risk genes (females and males).

Limitations

This study is primarily limited by sample sizes, particularly amongst females.

Conclusions

Overall, we found a highly replicated sex-specific DNA methylation signature of ASD in newborn blood that showed support for the female protective effect and convergence with epigenetic and genetic signatures of ASD in newborns. These results demonstrate the utility of newborn blood in ASD screening and emphasizes the importance of sex-stratification in future studies.

Autism or not? A case series of evaluation decision points in child and adolescent psychological assessment

Increase in the incidence of autism spectrum disorders (ASD) and increased attention to symptoms of ASD in social media have contributed to a significant rise in referrals for neuropsychological assessment of possible ASD. Many practitioners lack specific training in the assessment of ASD and may avoid addressing these concerns, despite the frequency of those referrals. This paper reviews potential contributors to the rise in referrals and several related conditions which share some overlap with features of ASD. That is followed by descriptions of four school-aged children and adolescents referred for comprehensive evaluation of suspected ASD. The authors describe decision points in the diagnostic process for those with or without proficiency in ASD-specific testing and close with a series of recommendations for the assessment of clients with complex presentations referred for suspected ASD.

Clinician-caregiver informant discrepancy is associated with sex, diagnosis age, and intervention use among autistic children

LAY ABSTRACT

In some cases, a clinician's perceptions of a child's autism-related behaviors are not the same as the child's caregiver's perceptions. Identifying how these discrepancies relate to the characteristics of the child is critical for ensuring that diagnosis procedures are unbiased and suitable for all children. This study examined whether discrepancies between clinician and caregiver reports of autism features related to the child's sex at birth. We also explored how the discrepancies related to the age at which the child received their autism diagnosis and how much intervention they received. We found that clinicians rated autism features higher than caregivers for boys and rated autism features lower than caregivers for girls. In addition, lower clinician relative to parent ratings was related to being diagnosed at an older age and receiving less intervention. These findings suggest that there is more to learn about the presentation of autism-related behaviors in girls. When caregiver and clinician ratings of autism features do not align, it may be important to consider caregivers' ratings to obtain a more accurate picture of the child's autism features and the support they may need.

The Moderating Effect of Sex on Autistic Trait Emotional Intelligence, Alexithymia, and Empathy

Autism spectrum disorder (ASD) is associated with differences in social communication, and these differences are related to trait emotional intelligence (TEI), alexithymia, and empathy. Autism is known to present differently in males and females, but research on sex differences in TEI, alexithymia, and empathy is largely relegated to non-autistic people. Therefore, the current research sought to explore individual relationships between autistic characteristics and TEI, alexithymia, and empathy, as well as the possible influence of sex in these relationships. In the current study, autistic and non-autistic adults reported on their autistic characteristics, TEI, alexithymia, and empathy. Based on previous research, it was hypothesized that more autistic characteristics would be associated with less TEI, more alexithymia, and less empathy, and that these relationships would be more prominent amongst males. More autistic characteristics were associated with greater challenges across the three areas of interest. However, only the relationship between TEI and autistic characteristics was moderated by sex, such that males demonstrated higher support needs related to TEI than females. Results from this analysis indicate that adults with more autistic characteristics, regardless of diagnostic status, demonstrate differences in TEI, alexithymia, and empathy. The current analysis may offer additional context to the evolving understanding of empathy and autism by suggesting that TEI and alexithymia could account for differences in empathy. Moreover, sex seems to play a role in the relationship between autistic characteristics and TEI such that differences are especially prominent for males.

Differential Item Functioning and Clinical Utility of the Subjective Memory Complaints Questionnaire in a Multi-Ethnic Cohort

INTRODUCTION

This study evaluated the psychometric properties of the Subjective Memory Complaints Questionnaire (SMCQ) in a non-Hispanic White (NHW) and Mexican American (MA) sample from Texas in the USA.

METHODS

Data were obtained from the Health and Aging Brain Study - Health Disparities (HABS-HD; N = 1,691, age = 66.5 ± 8.7, education = 12.4 ± 4.8, 60.6% female, 33.2% MA Spanish speaking). Unidimensionality of the SMCQ was evaluated with confirmatory factor analysis. Differential item functioning (DIF) of the SMCQ was assessed across age, sex, education, and ethnicity/language using item response theory/logistic ordinal regression. Associations of the SMCQ in relation to cognitive status, Alzheimer's disease (AD) blood-based biomarkers, and psychological distress were examined.

RESULTS

The SMCQ showed excellent fit in a single-factor model (CFI = 0.97, TLI = 0.97, RMSEA [95% CI] = 0.05 [0.04, 0.05], SRMR = 0.07). Significant item-level DIF was detected by education level and ethnicity/language, but not by age or sex; when detected, DIF was not salient (i.e., adverse). The SMCQ was associated with greater psychological distress, worse Clinical Dementia Rating scores, and greater disease burden as measured by total tau and neurofilament light.

CONCLUSIONS

Practically negligible item-level bias was identified across education and ethnicity/language. Detected DIF can be described as benign, indicating that some items manifested differently between groups but had minimal impact on measurement properties. These results demonstrate that the SMCQ performs appropriately across demographic variables. Our findings also provide support for the associations of SMCQ scores with self-reported mood, cognitive status, and AD blood-based biomarkers.

The Intersection of Systemic, Child, and Evaluation Factors in the Prediction of Autism Special Education Eligibility; Examining the Role of Race and Ethnicity

Though there is evidence autism identification has been inequitable for populations who are culturally and linguistically minoritized, there is limited research that explains the issue of disproportionality and factors contributing to its occurrence, especially within an educational setting. To explore contributors to racial/ethnic disparities in autism special education eligibility, the current investigation evaluated child and evaluation characteristics as they relate to the absence of autism eligibility. Data were obtained from the Autism and Developmental Disabilities Monitoring (ADDM) Network Study and included children with behavioral characteristics consistent with autism and educational evaluation records. Despite documented characteristics consistent with autism, only 72% of the sample received educational services under autism eligibility. To characterize children without autism eligibility, hierarchical logistic regression was used to evaluate factors documented in evaluation records predicting the absence of autism eligibility. Factors influencing autism eligibility included behavioral characteristics documented, evaluation components completed, intellectual ability, and clinical diagnoses present. There was no unique contribution of race/ethnicity in predicting the absence of autism eligibility when accounting for these previous predictors, but many of these predictors differed by racial/ethnic group. Disproportionality in autism may be the manifestation of inequitable evaluation experiences, including experiencing less comprehensive evaluations, and not receiving an autism specific assessment. Though race/ethnicity did not uniquely contribute to the absence of autism eligibility above and beyond those combined factors, it is important to evaluate and reduce inequities experienced within the autism identification process for populations who are culturally and linguistically minoritized.

Psychometric exploration of the RAADS-R with autistic adults: Implications for research and clinical practice

LAY ABSTRACT

Surveys used to screen for autism are being used much more by adults. Adults and clinicians want to be confident that the results from their surveys are accurate. If scores are not accurate, it is not possible to compare the scores of different groups of individuals. There are also concerns that these surveys do not accurately identify autistic individuals. This study explored the accuracy of two commonly used autism screening surveys for adults: the RAADS-R and the RAADS-14. The accuracy of these two screening tools was measured using a sample of 839 adults. Adults in the study were in one of the following categories: (1) diagnosed with autism, (2) adults who considered themselves to be autistic but had not been diagnosed, (3) adults who were unsure whether they were autistic, and (4) adults who did not consider themselves to be autistic and had not been diagnosed. The study found that the RAADS-R and the RAADS-14 are accurate. The study also found that a person's age, gender, autism diagnosis, or whether an individual considered themselves to be autistic did not impact how they understood the survey. Survey accuracy could be improved by changing the number of question responses from four to two. Importantly, individuals with a clinical diagnosis of autism and those who considered themselves to be autistic responded to survey items in a very similar way. Individuals with autism diagnoses and those who were unsure whether they were autistic were more different in their responses. Four specific survey items related to sensory experiences and social interaction identified key differences between autistic and non-autistic adults.

Community testing practices for autism within the autism and developmental disabilities monitoring network

BACKGROUND

No data exist at the population level on what tests are used to aid in the diagnosis of autism spectrum disorder in community practice.

OBJECTIVES

To describe autism spectrum disorder testing practices to inform autism spectrum disorder identification efforts.

METHODS

Data are from the Autism and Developmental Disabilities Monitoring Network, a multi-site surveillance system reporting prevalence estimates and characteristics of 8-year-old children with autism spectrum disorder. Percentages of children with autism spectrum disorder who received any autism spectrum disorder test or a 'gold standard' test were calculated by site, sex, race, median household income, and intellectual ability status. Risk ratios were calculated to compare group differences.

RESULTS

Of 5058 8-year-old children with autism spectrum disorder across 11 sites, 3236 (64.0%) had a record of any autism spectrum disorder test and 2136 (42.2%) had a 'gold standard' ADOS or ADI-R test. Overall, 115 children (2.3%) had both the ADOS and ADI-R in their records. Differences persisted across race, median household income, and intellectual ability status. Asian/Pacific Islander children had the highest percent receiving any ASD test (71.8%; other groups range: 57.4-66.0%) and White children had the highest percent receiving 'gold standard' tests (46.4%; other groups range: 35.6-43.2%). Children in low-income neighbourhoods had a lower percent of any test (62.5%) and 'gold standard' tests (39.4%) compared to medium (70.2% and 47.5%, respectively) and high (69.6% and 46.8%, respectively) income neighbourhoods. Children with intellectual disability had a lower percent of any ASD test (81.7%) and 'gold standard' tests (52.6%) compared to children without intellectual disability (84.0% and 57.6%, respectively).

CONCLUSIONS

Autism spectrum disorder testing practices vary widely by site and differ by race and presence of co-occurring intellectual disability, suggesting opportunities to standardise and/or improve autism spectrum disorder identification practices.

Improving Diagnostic Procedures in Autism for Girls and Women: A Narrative Review

Biases exist in the diagnostic process for autism spectrum disorder (henceforth "autism"), which result in some girls and women being diagnosed later or missed entirely. Current diagnostic tools may not capture the full range of behavioural presentations of autism, leading to under-identification. This review explores why these biases may occur, and how diagnostic procedures could be adapted to better identify autistic girls and women. We recommend that diagnostic assessments are adjusted to capture a broader range of behavioural exemplars of autism; that camouflaging of autistic traits is taken into account; and that care is taken to ensure co-occurring mental health conditions do not overshadow autism diagnosis. We offer recommendations, building on gold-standard diagnostic guidelines, for how diagnostic procedures can be improved for girls and women.

Racial and ethnic disparities in the co-occurrence of intellectual disability and autism: Impact of incorporating measures of adaptive functioning

Intellectual disability (ID) commonly co-occurs in children with autism. Although diagnostic criteria for ID require impairments in both cognitive and adaptive functioning, most population-based estimates of the frequency of co-occurring ID in children with autism-including studies of racial and ethnic disparities in co-occurring autism and ID-base the definition of ID solely on cognitive scores. The goal of this analysis was to examine the effect of including both cognitive and adaptive behavior criteria on estimates of co-occurring ID in a well-characterized sample of 2- to 5-year-old children with autism. Participants included 3264 children with research or community diagnoses of autism enrolled in the population-based Study to Explore Early Development (SEED) phases 1-3. Based only on Mullen Scales of Early Learning (MSEL) composite cognitive scores, 62.9% (95% confidence interval [CI]: 61.1, 64.7%) of children with autism were estimated to have co-occurring ID. After incorporating Vineland Adaptive Behavior Scales, Second Edition (VABS-II) composite or domains criteria, co-occurring ID estimates were reduced to 38.0% (95% CI: 36.2, 39.8%) and 45.0% (95% CI: 43.1, 46.9%), respectively. The increased odds of meeting ID criteria observed for non-Hispanic (NH) Black and Hispanic children relative to NH White children when only MSEL criteria were used were substantially reduced, though not eliminated, after incorporating VABS-II criteria and adjusting for selected socioeconomic variables. This study provides evidence for the importance of considering adaptive behavior as well as socioeconomic disadvantage when describing racial and ethnic disparities in co-occurring ID in epidemiologic studies of autism.

Cognitive and Developmental Profiles Associated with Self-Reported Sexual and Gender Minority Stigmatization Among Binary Transgender Adolescents

OBJECTIVE

Sexual and gender minority (SGM) stigmatization is a key factor related to transgender adolescent mental health. While previous research has focused on direct associations between stigmatization and mental health, the present study of transgender youth, equitably recruited across the autism spectrum, examines cognitive and developmental factors in relation to the self-report of experienced and perceived SGM stigmatization.

METHOD

65 binary transgender adolescents (43% transfeminine; ages 13-21 years) were intentionally recruited across the spectrum of autism traits from no traits to full criteria autism. Participants completed measures of autism-related social differences, cognitive abilities, and self-reported directly experienced and perceived SGM stigma. Autism-related social differences, cognitive abilities, and age were studied in relation to both SGM stigma factors.

RESULTS

Autism-related social differences were negatively associated with level of directly experienced SGM stigma but unassociated with perceived stigma. Greater cognitive ability was positively associated with level of perceived SGM stigma, but unassociated with report of directly experienced stigma. Older age was positively associated with level of perceived SGM stigma. There was a statistical trend toward older age positively associated with level of directly experienced stigma.

CONCLUSIONS

The present study identifies candidate cognitive and developmental influences on self-reported SGM stigmatization among transgender adolescents, evenly recruited across the autism spectrum. The factors which may impact the perception and experience of stigmatization have been notably under-explored in the mental health field. The examination of these individual characteristics may allow for more precise predictive models for research with transgender youth, and ultimately, in clinical care.

Promoting Quality of Life: Suggestions for Mental Health Care Providers Working with Young Autistic Adults

There is a growing population of autistic adults in need of supports from a service delivery system that, at present, fails to accommodate their needs adequately and equitably. Unfortunately, there is a shortage of trained behavioral health service providers to meet the needs of young autistic adults. Quality of life (QoL), or one's perception of, and satisfaction with, life in relation to held goals and expectations, has been identified as a key outcome of interest by autistic self-advocates. By supporting autistic clients to hone their strengths and interests, integrate various aspects of their identity, identify goals, and connect to appropriate resources, providers can promote clients' self-knowledge and self-determination, in the service of improving QoL. In this Perspectives article, we offer concrete recommendations to mental health providers, including those who do not specialize in autism, with the goal of supporting implementation of evidence-based strategies that improve QoL and promote self-determination among young autistic clients.

Sex differences in early autism screening using the Modified Checklist for Autism in Toddlers, Revised, with Follow-Up (M-CHAT-R/F)

LAY ABSTRACT

This study examined a widely used autism screening tool, the Modified Checklist for Autism in Toddlers, Revised, with Follow-Up to identify differences in screening for autism between toddler males and females. Examining sex differences in screening for autism in toddlerhood is important as it determines who will be referred for evaluations and receive diagnoses, which is critical for access to autism-specific early intervention. This study found that females were less likely to screen positive and be invited for evaluations compared with males. Females at high likelihood for autism were less likely to be diagnosed with autism, which decreases confidence in the screener's results. Importantly, the Modified Checklist for Autism in Toddlers, Revised, with Follow-Up accurately identified both males and females with autism. Future research should examine ways to improve accuracy in screening results for females.

Applications of identity-based theories to understand the impact of stigma and camouflaging on mental health outcomes for autistic people

Autistic people have long been conceptualized from a deficit-based model of disability, but recent self-advocates and scholars have asserted the importance of recognizing autism as both a disability and an important part of a person's social identity. The autistic identity is subject to specific stigma and stressors beyond everyday discrimination and prejudice, which can have many downstream implications on mental health and well-being. Prior research on camouflaging has explained both quantitatively and qualitatively how autistic people conform to norms and mask their autistic traits to better fit in with non-autistic societal standards. Given this paradigm shift in understanding autistic peoples' lived experiences, researchers must also begin to reshape the theories guiding their work in order to improve diagnosis, intervention, and supports. This review examines the extant research on identity-related stigma and camouflaging and their subsequent impacts on mental health outcomes in autism. A model is proposed integrating identity-based theories-specifically the social model of disability, social identity theory, and minority stress model-to explain relationships across research areas and better explain the experiences of autistic people. We discuss how identity-based theories can be applied in autism research to better understand the impacts of stigma and camouflaging on autistic peoples' lived experiences and reduce disparities in their mental health outcomes.

Olink proteomics profiling platform reveals non-invasive inflammatory related protein biomarkers in autism spectrum disorder

Background

Owing to the lack of valid biomarkers, the diagnosis of autism spectrum disorder (ASD) diagnosis relies solely on the behavioral phenotypes of children. Several researchers have suggested an association between ASD and inflammation; however, the complex relationship between the two is unelucidated to date. Therefore, the current study aims to comprehensively identify novel circulating ASD inflammatory biomarkers.

Methods

Olink proteomics was applied to compare the plasma inflammation-related protein changes in a group of the healthy children (HC, n = 33) and another with ASD (n = 31). The areas under the receiver operating characteristic curves (AUCs) of the differentially expressed proteins (DEPs) were calculated. The functional analysis of the DEPs was performed using Gene Ontology and Kyoto Encyclopedia Genes and Genomes. Pearson correlation tests were used employed to analyze the correlation between the DEPs and clinical features.

Results

A total of 13 DEPs were significantly up-regulated in the ASD group compared with the HC group. The four proteins, namely, STAMBP, ST1A1, SIRT2, and MMP-10 demonstrated good diagnostic accuracy with the corresponding AUCs (95% confidence interval, CI) of 0.7218 (0.5946-0.8489), 0.7107 (0.5827-0.8387), 0.7016 (0.5713-0.8319), and 0.7006 (0.568-0.8332). Each panel of STAMBP and any other differential protein demonstrated a better classification performance [AUC values from 0.7147 (0.5858-0.8436, STAMBP/AXIN1) to 0.7681 (0.6496-0.8867, STAMBP/MMP-10)]. These DEP profiles were enriched in immune and inflammatory response pathways, including TNF and NOD-like receptor signaling pathways. The interaction between STAMBP and SIRT2 (R = 0.97, p = 8.52 × 10^-39) was found to be the most significant. In addition, several DEPs related to clinical features in patients with ASD, particularly AXIN1 (R = 0.36, p = 0.006), SIRT2 (R = 0.34, p = 0.010) and STAMBP (R = 0.34, p = 0.010), were positively correlated with age and parity, indicating that older age and higher parity may be the inflammation-related clinical factors in ASD.

Conclusion

Inflammation plays a crucial role in ASD, and the up-regulated inflammatory proteins may serve as potential early diagnostic biomarkers for ASD.

Autism in Women

Relative to males, women with autism spectrum disorder (ASD) have neurobiological and clinical presentation differences. Recent research suggests that the male/female ASD prevalence gap is smaller than previously reported. Sex differences in symptom presentation as well as the male bias of ASD account for delayed/missed diagnosis among women. Investigating ASD and providing psychological evaluation referrals for women who are struggling socially and present with complex mental health conditions (e.g., ADHD, depression), even when they do not show typical autistic characteristics, is important. Accurate diagnosis facilitates understanding of challenges, increases access to treatments, and alleviates the burden of ASD.

Psychometric properties of the Mandarin version of the autism diagnostic observation Schedule-Generic

BACKGROUND/PURPOSE

The diagnosis of autism spectrum disorder (ASD), involving multiple components of clinical assessments, is challenging. The Autism Diagnostic Observation Schedule-Generic (ADOS-G), one of the standardized and validated instruments for ASD diagnostic evaluation, has been widely used in many countries. With the preparation of the Mandarin version of the ADOS-G (Mandarin-ADOS-G), this study aims to examine its psychometric properties, including reliability and validity.

METHODS

The sample included 554 individuals clinically diagnosed with ASD (477 males, 86.1%) and 50 typically developing (TD) individuals (29 males, 58.0%) who were assessed with different modules of the Mandarin-ADOS-G between 4.1 and 34.0 years old with a mean age of 13.0 years (Module 1, n = 40; Module 2, n = 46; Module 3, n = 275; Module 4, n = 243). We evaluated the inter-rater reliability, test-retest reliability, internal consistency, and concurrent validity with the Chinese Autism Diagnostic Interview-Revised (ADI-R) and Social Responsiveness Scale (SRS) caregiver-report and self-report forms. The discriminative validity of Mandarin-ADOS-G was also examined.

RESULTS

The Mandarin-ADOS-G demonstrated good inter-rater reliability (agreement of ADOS classification 0.91), good test-retest reliability (intraclass correlations 0.55-0.73), and low to high good internal consistency (Cronbach's alpha 0.27-0.86). The concurrent validity showed significant correlations with ADI-R (Pearson correlations 0.22-0.37) and the SRS caregiver-report form (Pearson correlations 0.15-0.23). Moreover, all Mandarin-ADOS-G domains successfully differentiated autistic individuals from TD individuals (all p-values <0.001).

CONCLUSION

The Mandarin-ADOS-G is a reliable and valid instrument for assisting the diagnosis of ASD in the Mandarin-speaking population.

Examine sex differences in autism spectrum disorder in school-aged children and adolescents with fluent language

There are noteworthy sex disparities in the prevalence of autism spectrum disorders (ASD), while findings regarding the sex differences in core symptoms are inconsistent. There are few relevant studies on sex differences in mainland China. This study was dedicated to a deeper understanding of the impact of sex differences on the clinical presentation of ASD with fluent language. We retrospectively studied 301 children with ASD (58 females) and utilized raw scores from the ADI-R and ADOS and the intelligence quotient (IQ) to measure symptomatology. Based on the Full-Scale IQ (FS-IQ), a binary split of average, above-average IQ (high-IQ), and below-average IQ (low IQ) occurs at 85. Across the entire sample, males and females are comparable in the FS-IQ, while males scored higher in the Perceptual Reasoning Index (PRI) (F = 7.812, p = 0.006). ADI-R did not find any statistically significant sex differences in the diagnostic cutoff score satisfaction or the raw domain scores. While a significant effect of sex on ADOS social affect domain scores was found in the total sample [λ = 0.970, partial η²  = 0.030, F (3,295) = 3.019, p = 0.030]. Tests of between-subjects effects revealed that males scored higher than females mainly in the ADOS reciprocal social interaction subcategory (partial η²  = 0.022, F = 6.563, p = 0.011). Stratified analysis revealed that the effect of sex on ADOS reciprocal social interaction subcategory scores only significant in the low-IQ children with ASD (partial η²  = 0.092, F = 10.088, p = 0.002). In general, overall cognitive functioning is similar across males and females with ASD, while males have a higher perceptual reasoning ability. Females with ASD are more likely to have comorbid intellectual impairment than males, and they could require additional intervention support. Autistic children with low IQs are more likely to exhibit sex differences in their core symptoms than children with high IQs. Intelligence plays a key role in sex-based differences in the core symptoms of ASD.

The Scholarly Neglect of Black Autistic Adults in Autism Research

Black autistic individuals, regardless of age, have not been centered in autism research. Instead, they often exist on the margins-on the periphery of autism research. In fact, Black autistic adults are largely absent from the literature. Most participants in autism research are majority-white autistic individuals and families. In this conceptual article, we use intersectionality and Dis/ability Studies and Critical Race Theory theories to contextualize Black autistic adults' experiences. Second, we argue that systemic disparities and methodological concerns are two contributors to the scholarly neglect of Black autistic adults in autism research. Third, we provide guidelines to support researchers in moving from neglect to inclusive research with Black autistic adults.

A Data-Driven Approach in an Unbiased Sample Reveals Equivalent Sex Ratio of Autism Spectrum Disorder-Associated Impairment in Early Childhood

BACKGROUND

Sex differences in the prevalence of neurodevelopmental disorders are particularly evident in autism spectrum disorder (ASD). Heterogeneous symptom presentation and the potential of measurement bias hinder early ASD detection in females and may contribute to discrepant prevalence estimates. We examined trajectories of social communication (SC) and restricted and repetitive behaviors (RRBs) in a sample of infant siblings of children with ASD, adjusting for age- and sex-based measurement bias. We hypothesized that leveraging a prospective elevated familial likelihood sample, deriving data-driven behavioral constructs, and accounting for measurement bias would reveal less discrepant sex ratios than are typically seen in ASD.

METHODS

We conducted direct assessments of ASD symptoms at 6 to 9, 12 to 15, 24, and 36 to 60 months of age (total nobservations = 1254) with infant siblings of children with ASD (n = 377) and a lower ASD-familial-likelihood comparison group (n = 168; nobservations = 527). We established measurement invariance across age and sex for separate models of SC and RRB. We then conducted latent class growth mixture modeling with the longitudinal data and evaluated for sex differences in trajectory membership.

RESULTS

We identified 2 latent classes in the SC and RRB models with equal sex ratios in the high-concern cluster for both SC and RRB. Sex differences were also observed in the SC high-concern cluster, indicating that girls classified as having elevated social concerns demonstrated milder symptoms than boys in this group.

CONCLUSIONS

This novel approach for characterizing ASD symptom progression highlights the utility of assessing and adjusting for sex-related measurement bias and identifying sex-specific patterns of symptom emergence.

Exclusion of females in autism research: Empirical evidence for a "leaky" recruitment-to-research pipeline

Autism spectrum disorder (ASD) is characterized by challenges in social communication and the presence of repetitive behaviors or restricted interests. Notably, males are four times as likely as females to be diagnosed with autism. Despite efforts to increase representation and characterization of autistic females, research studies consistently enroll small samples of females, or exclude females altogether. Importantly, researchers often rely on standardized measures to confirm diagnosis prior to enrollment in research studies. We retrospectively analyzed the effects of one such measure (Autism Diagnostic Observation Schedule, ADOS) on research inclusion/exclusion rates by sex in autistic adults, all of whom had a preexisting community diagnosis of autism (n = 145, 95 male, 50 female). Using the ADOS as a confirmatory diagnostic measure resulted in the exclusion of autistic females at a rate over 2.5 times higher than that of autistic males. We compared sex ratios in our sample to those in other large, publically available datasets that rely either on community diagnosis (6 datasets, total n = 42,209) or standardized assessments (2 datasets, total n = 214) to determine eligibility of participants for research. Reliance on community diagnosis rather than confirmatory diagnostic assessments resulted in significantly more equal sex ratios. These results provide evidence for a "leaky" recruitment-to-research pipeline for females in autism research. LAY SUMMARY: Despite efforts to increase the representation of autistic females in research, studies consistently enroll small samples of females or exclude females altogether. We find that despite making up almost 50% of the initially recruited sample based upon self-report of community diagnosis, autistic females are disproportonately excluded from research participation as a result of commonly used autism diagnostic measures. In our sample, and several other publically available datasets, reliance on community diagnosis resulted in significantly more equal sex ratios.

Bias in measurement of autism symptoms by spoken language level and non-verbal mental age in minimally verbal children with neurodevelopmental disorders

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.