Is parent education a factor in identifying autism/takiwātanga in an ethnic cohort of Pacific children in Aotearoa, New Zealand? A national cross-sectional study using linked administrative data

LAY ABSTRACT

Previous studies of autism in Aotearoa, New Zealand, suggest that fewer Pacific children receive an autism diagnosis compared to European children. This study aimed to explore if formal education qualification of parents is related to receiving an autism diagnosis for their Pacific child. Our findings show that autism was identified in 1.1% of Pacific children compared with 1.6% among non-Māori, non-Pacific children. Parents with higher levels of education were more likely to receive an autism diagnosis for their Pacific child. While the study findings indicate education plays a positive role in receiving a diagnosis for autistic children, they suggest a systemic failure of supporting Pacific parents and communities to navigate the health and education systems that exist in Aotearoa, New Zealand.

Rates of family history of autism and ADHD varies with recruitment approach and socio-economic status

Family history (FH) of autism and ADHD is not often considered during the recruitment process of developmental studies, despite high recurrence rates. We looked at the rate of autism or ADHD amongst family members of young children (9 to 46 months) in three UK-based samples (N = 1055) recruited using different methods. The rate of FH-autism or FH-ADHD was 3%-9% for diagnosed cases. The rate was highest in the sample recruited through an online participant pool, which also consisted of the most socio-economically diverse families. Lower parental education and family income were associated with higher rates of FH-ADHD and lower parental education with increased FH-autism. Thus, recruitment strategies have a meaningful impact on neurodiversity and the conclusions and generalizations that can be drawn. Specifically, recruitment using crowdsourcing websites could create a sample that is more representative of the wider population, compared to those recruited through university-related volunteer databases and social media.

Trajectories of adaptive functioning from early childhood to adolescence in autism: Identifying turning points and key correlates of chronogeneity

Background

Previous research has demonstrated heterogeneous adaptive outcomes across the autism spectrum; however, the current literature remains limited in elucidating turning points and associated factors for longitudinal variability (chronogeneity). To address these empirical gaps, we aimed to provide a finer-grained characterization of trajectories of adaptive functioning from early childhood to adolescence in autism.

Methods

Our sample (N = 406) was drawn from an inception cohort of children diagnosed Autistic at ages 2-5. Adaptive functioning was assessed with Vineland Adaptive Behavior Scales (VABS, 2nd Edition) across 6 visits from the time of diagnosis by age 18. Parallel-process latent growth curve modeling were used to estimate domain-level VABS trajectories, followed by latent class growth analysis to identify trajectory subgroups. Child characteristics at diagnosis, family demographics, and participation outcomes at adolescence were compared across subgroups.

Results

Piecewise latent growth models best described VABS trajectories with two turning points identified at around ages 5-6 and 9-10, respectively reflecting transitions into school age and early adolescence. We parsed four VABS trajectory subgroups that vary by level of functioning and change rate for certain domains and periods. Around 16% of the sample exhibited overall adequate functioning (standard score >85) with notable early growth and social adaptation during adolescence. About 21% showed low adaptive functioning (standard score ≤70), with decreasing slopes by age 6 followed by improvements in communication and daily-living skills by age 10. The other two subgroups (63% in total) were characterized by adaptive functioning between low and adequate levels, with relatively stable trajectories entering school age. These subgroups differed most in their cognitive ability at diagnosis, household income, and social participation in adolescence.

Conclusions

We identified key individual and family characteristics and time windows associated with distinct adaptive functioning trajectories, which have important implications for providing timely and tailored supports to Autistic people across developmental stages.

Predictors of age at diagnosis in autism spectrum disorders: the use of multiple regression analyses and a classification tree on a clinical sample

The increasing prevalence of autism spectrum disorders (ASD) has led to worldwide interest in factors influencing the age of ASD diagnosis. Parents or caregivers of 237 ASD children (193 boys, 44 girls) diagnosed using the Autism Diagnostic Observation Schedule (ADOS) completed a simple descriptive questionnaire. The data were analyzed using the variable-centered multiple regression analysis and the person-centered classification tree method. We believed that the concurrent use of these two methods could produce robust results. The mean age at diagnosis was 5.8 ± 2.2 years (median 5.3 years). Younger ages for ASD diagnosis were predicted (using multiple regression analysis) by higher scores in the ADOS social domain, higher scores in ADOS restrictive and repetitive behaviors and interest domain, higher maternal education, and the shared household of parents. Using the classification tree method, the subgroup with the lowest mean age at diagnosis were children, in whom the summation of ADOS communication and social domain scores was ≥ 17, and paternal age at the delivery was ≥ 29 years. In contrast, the subgroup with the oldest mean age at diagnosis included children with summed ADOS communication and social domain scores < 17 and maternal education at the elementary school level. The severity of autism and maternal education played a significant role in both types of data analysis focused on age at diagnosis.

Age at autism spectrum disorder diagnosis and its association with child and family characteristics in a tertiary care hospital in Malaysia

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder. Despite the absence of a cure, early diagnosis and intensive early intervention can improve the outcomes. However, little is known about the median age at ASD diagnosis in Malaysia or the child/family characteristics associated with early diagnosis. Therefore, this study aimed to determine the median age at ASD diagnosis among Malaysian children presenting to the country's largest public tertiary neurodevelopmental center and to investigate the possible demographic, child, and family characteristics associated with an early age at diagnosis. Data were collected between February 2017 and February 2019 from a database maintained by the child development unit of the country's largest publicly funded tertiary hospital, containing data from an ethnically diverse population. Among Malaysian children attending the clinic, the median age at ASD diagnosis was 48 months. Early autism diagnosis (<36 months of age) was associated with increased severity of social communication and interaction impairments, coexisting intellectual impairment, children from high socioeconomic status families, and children who receive joint care from their families and a maid or babysitter. The study findings highlight the socioeconomic inequalities in the country, a lack of parental awareness of early ASD signs, and the presence of cultural influences on the age at diagnosis of ASD.

Autism spectrum disorder among 16- to 30-month-old children in Bangladesh: Observational cross-sectional study

LAY ABSTRACT

A nationwide survey was done in Bangladesh to assess autism spectrum disorder prevalence in 16- to 30-month-old children at urban-rural distribution and to determine the association with socioeconomic and demographic conditions. A three-stage cluster sampling method was used where districts from all divisions were selected in the first stage, census enumeration areas as blocks of households were selected in the second stage and households (within the blocks) were selected in the third stage. Thereby, it included 38,440 children from 37,982 households (71% rural, 29% urban) aged 16-30 months from 30 districts of eight divisions of Bangladesh. Screening was done with a 'Red Flag' tool and Modified Checklist for Toddlers and a final diagnosis using Diagnostic and Statistical Manual of Mental Disorders, 5th Edition for autism spectrum disorder. Autism spectrum disorder prevalence was 17 per 10,000 young children - in other words, one in 589 young children. Boys were found at higher risk of autism (one in 423 boys; one in 1026 girls). Prevalence of autism spectrum disorder was higher in urban environments than in rural ones - 25/10,000 and 14/10,000, respectively. More autism spectrum disorder children were found in advanced age groups of parents, especially mothers, and in households with a higher wealth quintile. This survey is significant as it covers both urban and rural areas and specifically targets very young children. The involvement of the Bangladesh Bureau of Statistics, as well as support from the entire healthcare system infrastructure, makes this survey more representative on a national level. Its results will form a database to support the development of an effective early intervention programme in Bangladesh. We hope it will prove useful for researchers, clinicians and frontline healthcare workers, and inform the decisions of policymakers and funders in Bangladesh.

Child Behavior Problems and Parenting Stress in Underserved Families of Children with ASD: Investigation of Family Resources and Parenting Self-efficacy

Behavior problems in children with autism spectrum disorder (ASD) may exacerbate parenting stress. Parenting self-efficacy and family resources may influence this association. We examined cross-sectional statistical mediation effects of parenting self-efficacy on the relationship between child behavior problems and parenting stress and hypothesized that family-level resources moderated this indirect effect. Participants included 132 underserved (Medicaid-eligible) children with ASD (ages 3-13) with racial/ethnic diversity; many (63%) had intellectual disability. Greater externalizing problems were linked with lower parenting self-efficacy, which in turn was associated with increased parenting stress. A larger mediation effect was observed for families with fewer resources. A plausible alternative model (parenting stress mediating parenting self-efficacy) exhibited poorer fit. Implications for family supports and benefits of longitudinal follow-up are discussed.

Community-based care for autistic youth: community providers' reported use of treatment practices in the United States

Introduction

To illustrate the landscape of community-based care for autistic youth in the United States, we identified transdisciplinary psychosocial intervention practice sets that community providers report utilizing to care for this population, and examined characteristics associated with provider-reported utilization.

Methods

The Usual Care for Autism Study (UCAS) Survey assessed provider demographics and provider-reported use of transdisciplinary practices for common ASD co-occurring problems: social difficulties, externalizing behaviors, and anxiety. Community practitioners (N = 701) from allied health, behavioral, education, medical, mental health and other disciplines who treat or work with autistic youth (7-22 years) participated.

Results

Exploratory factor analysis yielded four factors: Consequence-Based Strategies (CBS), Cognitive-Behavioral and Therapy Strategies (CBTS), Antecedent-Based Strategies (ABS), and Teaching Strategies (TS). Providers across disciplines reported utilizing ABS more often than other sets. Providers from behavioral disciplines, with less than 4-year or Master degrees, or with more experience reported the most use of ABS, CBS and CBTS. Medical and behavioral providers reported the most use of TS. Setting and child characteristics were associated with practice set use, indicating variability by disability and client socioeconomic status.

Discussion

Findings reflect the complexity and inconsistency of the service landscape for autistic youth across the U.S. Only by understanding the service landscape and predictors of practice utilization, can researchers, policymakers, provider groups, and the autistic community facilitate effective implementation strategy development and use to ultimately improve community-based care.

Prevalence and Characteristics of Adolescents with Autism Spectrum Disorder in the New York-New Jersey Metropolitan Area

PURPOSE

Almost all epidemiologic studies estimating autism spectrum disorder (ASD) prevalence have focused on school-age children. This study provides the first population-based data on the prevalence and expression of ASD among adolescents in a large US metropolitan region.

METHODS

Active multiple source ASD surveillance of adolescents aged 16-years was conducted according to the Autism and Developmental Disabilities Monitoring (ADDM) Network method in a four-county New Jersey metropolitan region. Prevalence estimates are provided, characteristics are described and comparison of the distribution and characteristics of ASD is offered for this cohort, at 8 and 16-years.

RESULTS

ASD prevalence was 17.7 per 1000 (95% CI: 16.3-19.2)]. One-in-55 males and one in 172 females were identified with ASD. High-SES was positively associated with ASD and White adolescents had higher ASD prevalence (22.2 per 1000) than Hispanic adolescents (13.1 per 1000). One in four study-confirmed individuals with ASD did not have an ASD diagnosis. A majority of ASD adolescents (58.8%) had a co-occurring neuropsychiatric disorder. White and High-SES individuals had greater likelihood of co-occurring disorder. The demographic distribution and functional profile of ASD was similar in this cohort at 8 and 16-years.

CONCLUSION

Approximately one-in-55 adolescents in our area had ASD, in 2014, and one-in-4 16-year-olds with ASD was not diagnosed. A majority (3-in-5) of the adolescents with ASD had a co-occurring neuropsychiatric disorder. ASD under-identification and the high frequency of co-disorders in adolescents with ASD pose significant challenges to care and support.

Sociocultural factors associated with detection of autism among culturally and linguistically diverse communities in Australia

BACKGROUND

The age at which parents or caregivers first develop concerns about their child's development has significant implications on formal diagnosis and intervention. This study aims to determine the sociocultural factors that are associated with the age and type of first concern reported by parents of autistic children among culturally and linguistically diverse (CALD) communities in Australia. We also assessed whether sociocultural factors predict autism traits measured in terms of social affect (SA), restricted and repetitive behaviours (RRB), and calibrated severity scores (CSS).

METHODS

This study is a secondary data analysis of the data collected from six Autism Specific Early Learning and Care Centres (ASELCCs) as part of the Autism Co-operative Research Centre (CRC) program between 2015 and 2019. Data analysed in this study included a family history questionnaire with sociodemographic and sociocultural information, parent-reported age and type of first concern, and clinician/researcher administered Autism Diagnostic Observation Schedule - Second Edition (ADOS-2) which includes standardised domain-wise scores of social affect (SA) and restricted and repetitive behaviours (RRB) as well as calibrated severity scores (CSS), a measure of severity of autism. Primary analysis included multivariable linear regression models to examine the predictive influence of sociodemographic and sociocultural factors on the dependant variables of age of concern (AOC) and the autism traits (SA, RRB, and CSS).

RESULTS

The mean AOC in the sample was 18.18 months and the most common concerns were speech/language delay, limited social interaction, and hyperactivity/behavioural changes. The multivariable linear regression models showed factors such as increase in age of child, those from a CALD background, annual family income, sibling's autism diagnosis, and developmental concerns to be significantly associated with parental AOC. Additionally, we also found that increase in child's age and CALD status to be significant predictors of autism trait (RRB) and severity measured in terms of the CSS score. Further, females (compared to males) were associated with higher difficulties with social communication and interaction skills.

CONCLUSION

Understanding key factors that contribute to early identification of autism can help tailor awareness programs for parents and caregivers, whilst also informing the development of services focused on serving all CALD communities.

Socioeconomic and demographic risk factors of autism spectrum disorder among children and adolescents in Bangladesh: Evidence from a cross-sectional study in 2022

Autism spectrum disorder (ASD) is the assorted uneven conditions of the human brain that lead to developmental disabilities. This cross-sectional study aimed to identify the substantial risk factors of ASD among children in Bangladesh. The data were collected using convenience sampling through a questionnaire filled up by the trained interviewers. Mann-Whitney U and Kruskal-Wallis H tests were applied as bivariate analysis, and generalized beta regression was performed to determine the significant risk factors of autism spectrum disorder. The odds ratio (OR) along with 95% confidence interval (CI) were the measuring parameters of the risk factors of ASD. The result revealed that later birth order children have more risk of ASD (OR = 1.13, CI: 1.014-1.264, p = 0.027) compared to the children whose birth order is first. Premature birth of the child (OR: 0.87, CI: 0.76-1.00, p = 0.05) and father's age (OR: 0.86, CI: 0.76-0.97, p = 0.020) substantially affects ASD. The maternal history of specific illness (diabetes, thyroiditis, and hypertension) during pregnancy also significantly affect ASD (OR: 1.34, CI: 1.14-1.61, p = 0.002). The results of this study would assist policymakers in taking necessary steps to reduce the incidence of this disorder by targeting the potential risk factors.

The intersection of genome, epigenome and social experience in autism spectrum disorder: Exploring modifiable pathways for intervention

The number of children diagnosed with autism spectrum disorder (ASD) has increased substantially over the past two decades. Current research suggests that both genetic and environmental risk factors are involved in the etiology of ASD. The goal of this paper is to examine how one specific environmental factor, early social experience, may be correlated with DNA methylation (DNAm) changes in genes associated with ASD. We present an innovative model which proposes that polygenic risk and changes in DNAm due to social experience may both contribute to the symptoms of ASD. Previous research on genetic and environmental factors implicated in the etiology of ASD will be reviewed, with an emphasis on the oxytocin receptor gene, which may be epigenetically altered by early social experience, and which plays a crucial role in social and cognitive development. Identifying an environmental risk factor for ASD (e.g., social experience) that could be modified via early intervention and which results in epigenetic (DNAm) changes, could transform our understanding of this condition, facilitate earlier identification of ASD, and guide early intervention efforts.

Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region

An individual's disease risk is affected by the populations that they belong to, due to shared genetics and environmental factors. The study of fine-scale populations in clinical care is important for identifying and reducing health disparities and for developing personalized interventions. To assess patterns of clinical diagnoses and healthcare utilization by fine-scale populations, we leveraged genetic data and electronic medical records from 35,968 patients as part of the UCLA ATLAS Community Health Initiative. We defined clusters of individuals using identity by descent, a form of genetic relatedness that utilizes shared genomic segments arising due to a common ancestor. In total, we identified 376 clusters, including clusters with patients of Afro-Caribbean, Puerto Rican, Lebanese Christian, Iranian Jewish and Gujarati ancestry. Our analysis uncovered 1,218 significant associations between disease diagnoses and clusters and 124 significant associations with specialty visits. We also examined the distribution of pathogenic alleles and found 189 significant alleles at elevated frequency in particular clusters, including many that are not regularly included in population screening efforts. Overall, this work progresses the understanding of health in understudied communities and can provide the foundation for further study into health inequities.

Who Is Attending? The Role of Child Ethnicity and Maternal Demographics in Research Engagement and Early Identification of Autism

Inequitable access to early autism developmental surveillance is evident globally. However, there is limited research examining autism diagnosis, ethnicity, and community profiles when engaging in research for the early identification of autism. We aimed to understand the relationships between child ethnicity, maternal demographics, and autism diagnosis, comparing retrospective data from the 2016 census for eight local government areas (LGAs) in Victoria, Australia. Maternal and child health (MCH) nurses monitored 13,511 children under 42 months for the early signs of autism using the Social Attention Communication Surveillance-Revised (SACS-R) and SACS-R Preschool (SACS-PR) tools during well-child checks. Of these, 340 children with a "high likelihood" of autism attended developmental assessments. Participants' maternal ethnicity ('European maternal ethnicity', EME; 'non-European maternal ethnicity,' N-EME; 'mixed maternal ethnicity,' MME'), socioeconomic factors, and autism prevalence were compared to their LGA community. Results indicated that study participants were representative of their LGA communities, though bi- and multilingualism was higher in our cohort. Differences in current maternal employment, maternal education, annual family income, and autism prevalence were found between the N-EME, EME, and MME groups. Our study found that research engagement was driven by maternal education, maternal employment, and annual family income, and further research is required to understand these relationships.

Developmentally-Trained Primary Care Clinicians: A Pipeline to Improved Access?

OBJECTIVE

The purpose of this study is to decrease wait time and improve access to developmental-behavioral pediatric (DBP) evaluation in children 4 years of age and younger as part of a quality improvement (QI) initiative in an urban safety-net hospital.

METHODS

A primary care pediatrician received DBP minifellowship training 6 hours per week for 1 year to become a developmentally-trained primary care clinician (DT-PCC). DT-PCCs then conducted developmental evaluations that consisted of using a Childhood Autism Rating Scale and Brief Observation of Symptoms of Autism to evaluate children 4 years and younger referred within the practice. Baseline standard practice involved a 3-visit model: DBP advanced practice clinician (DBP-APC) intake visit, neurodevelopmental evaluation by a developmental-behavioral pediatrician (DBP), and feedback by a developmental-behavioral pediatrician. Two QI cycles were completed to streamline the referral and evaluation process.

RESULTS

Seventy patients with a mean age of 29.5 months were seen. The average days to initial developmental assessment decreased from 135.3 days to 67.9 days with a streamlined referral to the DT-PCC. Of the 43 patients who required further evaluation by a DBP, the average days to developmental assessment reduced from 290.1 to 120.4 days.

CONCLUSION

Developmentally-trained primary care clinicians allowed for earlier access to developmental evaluations. Further research should explore how DT-PCCs can improve access to care and treatment for children with developmental delays.

Improving Access to Diagnostic Evaluations for Developmental Disabilities Through an Initial Assessment Model

OBJECTIVE

This study aimed to evaluate a novel model of care to improve access to diagnostic evaluations for autism spectrum disorder and/or developmental delays for school-age children.

METHODS

An "initial assessment" (IA) model for children aged 7 to 9 years was implemented at a large regional pediatric hospital. Referral patterns and the number of patients evaluated with the IA model were obtained through the electronic health record (EHR). Referral patterns from the EHR were checked against clinician surveys.

RESULTS

Total IA volume had a strong negative association with school-age WL volume ( r (22) = -0.92, p < 0.001), indicating that as IA volume increased, the WL volume declined. Evaluation of referral patterns after IAs revealed that approximately 1 in 3 children seen for IA did not require further evaluation and could be immediately removed from the WL.

CONCLUSION

Results indicate that implementation of a novel IA model was strongly associated with a decrease in WL volume for neurodevelopmental evaluations of school-age children. These findings support a "right-fit" approach to optimize clinical resources and improve access to neurodevelopmental evaluations.

[Use of neurodevelopmental disorder screening tool in primary care : A multicenter observational study]

INTRODUCTION

Neurodevelopmental disorders (NDD) affect 5 to 15% of the population. Improved management largely depends on early detection in primary care. A screening tool was developed by an expert consensus and its use has been recommended since 2019. This tool has never been evaluated to date. The aim of this study was to investigate the prevalence and factors associated with the identification of neurodevelopmental disorders in primary care in children aged 6 months to 5 years.

METHOD

This work is a multicentric observational study carried out in general practice in two regions of France: Île-de-France and Auvergne-Rhône-Alpes. A multivariate analysis was performed to identify the factors associated with the presence of abnormal signs on the grid.

RESULTS

Five hundred and sixty-four (564) children aged 6 months to 4 years were included. The prevalence of children identified on the grid was 3.9%. The factors associated with the neurodevelopmental disorders identified in multivariate analysis were: low socio-professional status of the mother, male gender and parental concern about the child's neurodevelopment. Factors associated with identifying a developmental trajectory gap were male gender (OR = 2.10 (1.22-3.62)) and low socio-professional status of the mother (OR = 2.23 [1.05-4.70]).

CONCLUSION

This original work allowed us to carry out first-line testing of a tool for the identification of NDD in primary care and to evaluate the prevalence of identification of these disorders. A complementary cohort study will be necessary to evaluate the sensitivity and specificity of this identification tool.

Predictors of an earlier diagnosis of Autism Spectrum Disorder in children and adolescents: a systematic review (1987-2017)

Autism Spectrum Disorder (ASD) is an early onset neurodevelopmental disorder in which the first signs generally emerge at approximately 12 months of age but its diagnosis is feasible only from the age of 18 months. According to the literature, the average age of diagnosis ranges from 2.7 to 7.2 years, which raises the question of factors associated with early diagnosis as a condition for early intervention. In this systematic review, we aim to identify clinical, social, and environmental factors associated with the age at which the diagnosis of ASD is confirmed in children. A literature search was performed in the Pubmed, Web of Sciences, PsycInfo, and Cochrane databases. Among the 530 publications identified, 50 were selected according to the inclusion criteria. This review focuses on studies conducted in 21 countries using data collected over a period from 1987 to 2017. These studies were published before December 31st, 2019. The results suggest that the diagnosis of ASD occurs earlier if there is a delay in social communication or the presence of intellectual disability. There is a low level of evidence concerning associations between the age at diagnosis and sex, race, parental education, or socioeconomic status and accessibility to health care. Further studies using large and well-characterized data sets are needed to simultaneously explore clinical and socio-environmental factors involved in early diagnosis.

COVID-19 Induced Environments, Health-Related Quality of Life Outcomes and Problematic Behaviors: Evidence from Children with Syndromic Autism Spectrum Disorders

Between July 2020 and January 2021, 230 principal caregivers completed a questionnaire to measure proxy-assessed health-related quality of life outcomes (HRQoL), behavioral outcomes in children with syndromic autism spectrum disorders and COVID-19 induced changes to lifestyle and environments. HRQoL and behavioral outcomes reported earlier during the pandemic were generally worse compared to those reported later. COVID-19 induced reduction to a caregiver's mental health appointments, and hours spent watching TV were associated with decreases in HRQoL and increased the likelihood of problematic behaviors. Increasing time outdoors and time away from digital devices were positively associated with HRQoL and behaviors and might protect children from COVID-19 induced restrictions.

ASD Diagnosis and Treatment Experiences Among Mexican Heritage Families

To understand the ASD diagnosis and treatment pathways for US families, N = 38 Mexican-heritage mothers were interviewed about how and when they obtained an ASD diagnosis for their children. Most children (84%) were diagnosed between two and three years old. One-third of mothers reported receiving four to seven referrals before diagnosis. Mothers identified multiple diagnosis circumstances including two diagnoses and services offered before diagnosis. A multiple case study design documented the diagnosis and treatment experiences of four representative participants. As compared to previous studies that utilized a deficit lens to rationalize barriers to diagnosis and treatment (e.g., parents not knowledgeable about ASD), these findings revealed a complex understanding of how structural barriers (e.g., immigration status), initial diagnosis rejection among caregivers, and abrupt service cancellation complicated the diagnosis and treatment process. Implications identified suggestions to optimize and streamline ASD diagnosis and treatment pathways for Mexican heritage families.

Comorbidities in autism spectrum disorder and their etiologies

Individuals with autism spectrum disorder (ASD), in addition to the core features of the disease, experience a higher burden of co-occurring medical conditions. This study sought to describe the frequency and distribution of comorbidit conditions in individuals with ASD, and systematically evaluate the possibility that pre- and postnatal exposures (e.g., preterm birth, hypoxia at birth, traumatic brain injury, and fetal alcohol syndrome) associated with ASD may also be linked with distinct comorbidities. We used the SPARK study database, launched by the Simons Foundation Autism Research Initiative (SFARI). Comorbidities considered in the study included neurological, cognitive, psychiatric, and physical conditions. The study sample consisted of 42,569 individuals with ASD and their 11,389 non-ASD siblings (full and half siblings). Majority (74%) of individuals with ASD had at least one comorbidity, and had a greater average number of comorbidities than their non-ASD siblings. Preterm birth and hypoxia at birth were the most common peri-natal exposures in the sample. In logistic regression models adjusted for covariates, these exposures were associated with several distinct comorbidities in ASD cases, including attention and behavior problems, psychiatric and neurological disorders, and growth conditions. A similar pattern of association was also observed in non-ASD siblings. Our findings underscore that individuals with ASD experience a greater burden of comorbidities, which could be partly attributable to the higher rates of perinatal exposures compared to their non-ASD siblings. Study findings, if replicated in other samples, can inform the etiology of comorbidity in ASD.

Racial and Ethnic Disparities in Geographic Access to Autism Resources Across the US

Importance

While research has identified racial and ethnic disparities in access to autism services, the size, extent, and specific locations of these access gaps have not yet been characterized on a national scale. Mapping comprehensive national listings of autism health care services together with the prevalence of autistic children of various races and ethnicities and evaluating geographic regions defined by localized commuting patterns may help to identify areas within the US where families who belong to minoritized racial and ethnic groups have disproportionally lower access to services.

Objective

To evaluate differences in access to autism health care services among autistic children of various races and ethnicities within precisely defined geographic regions encompassing all serviceable areas within the US.

Design, Setting, and Participants

This population-based cross-sectional study was conducted from October 5, 2021, to June 3, 2022, and involved 530 965 autistic children in kindergarten through grade 12. Core-based statistical areas (CBSAs; defined as areas containing a city and its surrounding commuter region), the Civil Rights Data Collection (CRDC) data set, and 51 071 autism resources (collected from October 1, 2015, to December 18, 2022) geographically distributed into 912 CBSAs were combined and analyzed to understand variation in access to autism health care services among autistic children of different races and ethnicities. Six racial and ethnic categories (American Indian or Alaska Native, Asian, Black or African American, Hispanic or Latino, Native Hawaiian or other Pacific Islander, and White) assigned by the US Department of Education were included in the analysis.

Main Outcomes and Measures

A regularized least-squares regression analysis was used to measure differences in nationwide resource allocation between racial and ethnic groups. The number of autism resources allocated per autistic child was estimated based on the child's racial and ethnic group. To evaluate how the CBSA population size may have altered the results, the least-squares regression analysis was run on CBSAs divided into metropolitan (>50 000 inhabitants) and micropolitan (10 000-50 000 inhabitants) groups. A Mann-Whitney U test was used to compare the model estimated ratio of autism resources to autistic children among specific racial and ethnic groups comprising the proportions of autistic children in each CBSA.

Results

Among 530 965 autistic children aged 5 to 18 years, 83.9% were male and 16.1% were female; 0.7% of children were American Indian or Alaska Native, 5.9% were Asian, 14.3% were Black or African American, 22.9% were Hispanic or Latino, 0.2% were Native Hawaiian or other Pacific Islander, 51.7% were White, and 4.2% were of 2 or more races and/or ethnicities. At a national scale, American Indian or Alaska Native autistic children (β = 0; 95% CI, 0-0; P = .01) and Hispanic autistic children (β = 0.02; 95% CI, 0-0.06; P = .02) had significant disparities in access to autism resources in comparison with White autistic children. When evaluating the proportion of autistic children in each racial and ethnic group, areas in which Black autistic children (>50% of the population: β = 0.05; <50% of the population: β = 0.07; P = .002) or Hispanic autistic children (>50% of the population: β = 0.04; <50% of the population: β = 0.07; P < .001) comprised greater than 50% of the total population of autistic children had significantly fewer resources than areas in which Black or Hispanic autistic children comprised less than 50% of the total population. Comparing metropolitan vs micropolitan CBSAs revealed that in micropolitan CBSAs, Black autistic children (β = 0; 95% CI, 0-0; P < .001) and Hispanic autistic children (β = 0; 95% CI, 0-0.02; P < .001) had the greatest disparities in access to autism resources compared with White autistic children. In metropolitan CBSAs, American Indian or Alaska Native autistic children (β = 0; 95% CI, 0-0; P = .005) and Hispanic autistic children (β = 0.01; 95% CI, 0-0.06; P = .02) had the greatest disparities compared with White autistic children.

Conclusions and Relevance

In this study, autistic children from several minoritized racial and ethnic groups, including Black and Hispanic autistic children, had access to significantly fewer autism resources than White autistic children in the US. This study pinpointed the specific geographic regions with the greatest disparities, where increases in the number and types of treatment options are warranted. These findings suggest that a prioritized response strategy to address these racial and ethnic disparities is needed.

Measuring the impact of deprivation on learning difficulties and behaviour among infants born preterm: A cohort study

BACKGROUND

Preterm birth and social deprivation are known risk factors for learning difficulties. However there has been little work looking into the interaction between these two risks. We aimed to identify if children born preterm to families with higher levels of social deprivation are disproportionately more likely to have learning difficulties than those with lower levels of social deprivation.

METHODS

Data from the RANOPS (Respiratory And Neurological Outcomes in children born Preterm Study) was used to assess prevalence of learning difficulties. The effects of preterm birth and deprivation were reviewed. Multi-level logistic regression models were used to examine if gestational age and deprivation impacts interacted after adjustment for possible confounders. Primary outcome measure was parent-reported learning difficulties. Secondary outcome measures were parent-reported behavioural problems and a statement of special educational need.

RESULTS

We investigated the developmental outcomes of 6,691 infants with a median age of 5 years at time of survey (IQR 5). Deprivation decile (OR 1.08 (1.03,1.12)) and preterm birth (OR 2.67 (2.02,3.53)) were both associated with increased risk of learning difficulties. There was little evidence for any interaction between preterm birth and deprivation (p = 0.298) and the risk of learning difficulties.

CONCLUSIONS

Deprivation and preterm birth have significant associations with learning difficulties. While deprivation does not appear to have potentiated the impact of preterm birth, preterm infants in the most deprived areas have the highest risk of learning difficulties with almost 1 in 3 extremely premature infants with a learning difficulty in the most deprived areas.

Suicidal ideation and intentional self-inflicted injury in autism spectrum disorder and intellectual disability: An examination of trends in youth emergency department visits in the United States from 2006 to 2014

LAY ABSTRACT

Youth suicide is a major problem in the United States and globally, but little is known about suicide risk in autistic youth and youth with intellectual disability specifically. Using data from the National Emergency Department Sample, which is the largest database of emergency department visits in the United States, we found that emergency department visits with a suicidal ideation or intentional self-inflicted injury diagnosis were more common in autistic youth and youth with intellectual disability than in youth without these diagnoses (i.e. the comparison group). This was true when examining both suicidal ideation diagnoses and intentional self-inflicted injury diagnoses at emergency department visits. In addition, the number of emergency department visits with a suicidal ideation or intentional self-inflicted injury diagnosis increased more from 2006 to 2014 in autistic youth and youth with intellectual disability compared with the comparison group. We also found both similarities and differences when examining factors, such as age, sex, and co-occurring mental health conditions, related to emergency department visits with a suicidal ideation or intentional self-inflicted injury diagnosis across groups that may be helpful for understanding suicide risk. It is urgent that we improve our understanding, assessment, and treatment of suicidality and self-harm in these groups through more research and clinical efforts.

Tele-assessment of young children referred for autism spectrum disorder evaluation during COVID-19: Associations among clinical characteristics and diagnostic outcome

The diagnosis of autism spectrum disorder (ASD) has traditionally been made through in-person evaluation. While the COVID-19 pandemic disrupted access to ASD services, there has been remarkable growth in research focused on novel ASD diagnostic practices, including the use of telemedicine. We implemented a standard ASD tele-assessment evaluation procedure, including use of a novel remote clinician-coached, caregiver-delivered ASD assessment tool (TELE-ASD-PEDS; TAP), with the goal of continuing to provide diagnostic services to young children and their families during the pandemic. We examined the relationship between child characteristics and diagnostic outcome for 335 children, ages 14-78 months, who received ASD tele-assessment conducted by psychologists and pediatricians in an outpatient clinic of a Midwestern academic medical center. We found that clinicians could make a determination about ASD diagnosis for most children (85%) evaluated using tele-assessment. Child clinical characteristics, including TAP scores and clinician ratings of ASD symptoms, were related to diagnostic outcome (i.e. diagnosis of ASD, no ASD, and Unsure about ASD). When all clinical characteristics were examined together, the presence of specific repetitive behaviors predicted ASD diagnosis. We also found that the TAP is effective for making an ASD diagnosis when used as part of comprehensive tele-assessment evaluation in children ⩾ 36 months of age with delayed language. Our study adds to an increasing body of research supporting use of tele-assessment for diagnosis of ASD. Although further research is needed, telemedicine may help families from different backgrounds and geographic locations to access high-quality diagnostic services.

Resilience, and positive parenting in parents of children with syndromic autism and intellectual disability. Evidence from the impact of the COVID-19 pandemic on family's quality of life and parent-child relationships

Family quality of life (FQoL) outcomes collected during the first year of COVID-19 has been combined with 2018 data to estimate the outbreak's impact on parental outcomes on a sample of 230 families with syndromic autistic children and those with intellectual disabilities (IDs). Despite challenges imposed by the COVID-19 outbreak, our study found that FQoL outcomes reported by participating parents during the first year of COVID-19 appears to be similar to ratings from a prepandemic study of families with the same conditions. Parents of children in our sample generally displayed a stable functioning trajectory as measured by the validated FQoL instrument. Across syndromic autistic groups considered, families reported that their relationships with their children were positive. Our findings provide evidence of families' resilience which might explain the presence of positive parent-child interactions during COVID-19. Exploring mechanisms which would explain how families with autistic and ID children confront, manage disruptive experiences, and buffer COVID-19 induced stress is a fruitful direction for future research.

Socio-demographic disparities in receipt of clinical health care services during the COVID-19 pandemic for Canadian children with disability

BACKGROUND

Little is known about the experience of receiving in-person and virtual clinical health care services during the COVID-19 pandemic for Canadian children with developmental disabilities and delays facing multiple layers of vulnerability (e.g., low income, low educational attainment families). We examined the relationship between socio-demographic factors and the receipt of these services (physical and mental health services) during COVID-19 for Canadian children with these conditions.

METHODS

Data collected in Canada for the Global Report on Developmental Delays, Disorders and Disabilities were used. The survey: (1) was developed and disseminated in collaboration with caregivers of children with disabilities, (2) included topics such as response to the pandemic and receipt of services and supports, and (3) documented the experiences of a non-random convenience sample of caregivers of children (any age) with these conditions during and prior to the pandemic. We used four logistic regression models to assess the association between socio-demographic factors and receipt of services.

RESULTS

Being a single parent, having low educational attainment (high school or less), having low income (making less than $40,000 per year), working less than full time (working part-time, working reduced hours due to COVID, retired, stay home parent or student), as well as male gender and older age of the child with disability were factors associated with decreased likelihood of receiving services.

CONCLUSION

Our findings point to the need for tailoring services for families of children with disabilities, particularly low socioeconomic status families, to ensure continuity of care during public health emergencies.

Cognitive and Developmental Functions in Autistic and Non-Autistic Children and Adolescents: Evidence from the Intelligence and Development Scales-2

Autistic individuals often show impairments in cognitive and developmental domains beyond the core symptoms of lower social communication skills and restricted repetitive behaviors. Consequently, the assessment of cognitive and developmental functions constitutes an essential part of the diagnostic evaluation. Yet, evidence on differential validity from intelligence and developmental tests, which are commonly used with autistic individuals, varies widely. In the current study, we investigated the cognitive (i.e., intelligence, executive functions) and developmental (i.e., psychomotor skills, social-emotional skills, basic skills, motivation and attitude, participation during testing) functions of autistic and non-autistic children and adolescents using the Intelligence and Development Scales-2 (IDS-2). We compared 43 autistic (M_age = 12.30 years) with 43 non-autistic (M_age = 12.51 years) participants who were matched for age, sex, and maternal education. Autistic participants showed significantly lower mean values in psychomotor skills, language skills, and the evaluation of participation during testing of the developmental functions compared to the control sample. Our findings highlight that autistic individuals show impairments particularly in motor and language skills using the IDS-2, which therefore merit consideration in autism treatment in addition to the core symptoms and the individuals' intellectual functioning. Moreover, our findings indicate that particularly motor skills might be rather neglected in autism diagnosis and may be worthy of receiving more attention. Nonsignificant group differences in social-emotional skills could have been due to compensatory effects of average cognitive abilities in our autistic sample.

Autism presentation in female and Black populations: Examining the roles of identity, theory, and systemic inequalities

LAY ABSTRACT

Although the prevalence of autism has been rising in recent years, disparities in diagnosis still remain. Female and Black populations in the United States are diagnosed later, are more likely to have an intellectual disability, and are excluded from research as well as services designed for autistic individuals. Autistic Black girls are effectively invisible in the current scientific literature. Intersectional theory, which looks at a person as a whole, examines models that are inclusive toward diverse gender, ability, and racial/ethnic backgrounds. This theory may be a useful approach to clinical and research work with autism so that practitioners may be most effective for the whole population of autistic people. The authors recommend research focusing on inclusion of autistic populations with intellectual disability and research studies that include evaluations as part of the procedure. Clinically, the authors recommend a focus on screening all young children for autism and improving provider knowledge in working with diverse autistic populations.

Telehealth Evaluation of Pediatric Neurodevelopmental Disabilities During the COVID-19 Pandemic: Clinician and Caregiver Perspectives

OBJECTIVE

The objective of this study was to present clinician and caregiver perspectives regarding telehealth neurodevelopmental evaluation delivered at the onset of the coronavirus disease 2019 (COVID-19) pandemic. Specifically, we sought to describe telehealth neurodevelopmental evaluations, examine associations between child characteristics and diagnostic factors, determine the impact of technology and family barriers, and report on clinician and caregiver satisfaction with telehealth evaluation.

METHODS

In response to the COVID-19 pandemic, in-person clinical services at a large children's hospital neurodevelopmental clinic were transitioned to telehealth. Data are presented for 254 remote evaluations of children (18-212 months; referral concern: 51% autism spectrum disorder [ASD], 24% developmental delay/intellectual disability, 25% other neurodevelopmental concern) conducted from May to July 2020. Data were gathered from electronic health records as well as clinician and caregiver surveys.

RESULTS

A clinical diagnosis was provided in 72% of telehealth evaluations. Clinicians rated diagnostic certainty as "completely" or "somewhat" certain in 74% of evaluations. Certainty ratings were higher for evaluations in which a diagnosis of ASD was provided. Although technology and family challenges were reported, clinicians rarely identified these as disruptive to the evaluation process. Clinicians reported satisfaction with various aspects of delivering telehealth. Caregivers endorsed high satisfaction with receipt of telehealth and reduced travel burden.

CONCLUSION

The COVID-19 pandemic has rapidly transformed service delivery for individuals with neurodevelopmental disabilities and provided an unprecedented opportunity to evaluate the deployment of telehealth evaluation to meet the need for ongoing diagnostic care. Our findings suggest that telehealth holds significant promise for neurodevelopmental assessment both within the context of a global pandemic and beyond.

Risk factors for ASD : Risk Factors for Autism Spectrum Disorder in Shanghai, China: A Population-based Case-control Study

Autism spectrum disorder (ASD) is a pervasive neurodevelopmental disorder that brings heavy burdens to families and the society. This case-control study explored risk factors for ASD based on 74,252 children aged 3-12 years who were recruited from general education kindergartens, primary schools, and special education schools in Shanghai, China. One hundred ninety-two children were identified with ASD according to the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition. Male sex, the presence of anoxia or asphyxia at birth, artificial feeding, adverse maternal psychological status, complications during pregnancy and higher paternal education were associated with ASD even after controlling for age, residential district, family history of mental disorders, parental personality, and amount of daily TV viewing.

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

IMPORTANCE

There are long-standing disparities in the prevalence of autism spectrum disorder (ASD) across race and sex. Surprisingly, few studies have examined whether these disparities arise partially out of systematic biases in the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2), the reference standard measure of ASD.

OBJECTIVE

To examine differential item functioning (DIF) of ADOS-2 items across sex and race.

DESIGN, SETTING, AND PARTICIPANTS

This is a cross-sectional study of children who were evaluated for ASD between 2014 and 2020 at a specialty outpatient clinic located in the Mid-Atlantic region of the US. Data were analyzed from July 2021 to February 2022.

EXPOSURES

Child race (Black/African American vs White) and sex (female vs male).

MAIN OUTCOMES AND MEASURES

Item-level biases across ADOS-2 harmonized algorithm items, including social affect (SA; 10 items) and repetitive/restricted behaviors (RRBs; 4 items), were evaluated across 3 modules. Measurement bias was identified by examining DIF and differential test functioning (DTF), within a graded response, item response theory framework. Statistical significance was determined by a likelihood ratio χ2 test, and a series of metrics was used to examine the magnitude of DIF and DTF.

RESULTS

A total of 6269 children (mean [SD] age, 6.77 [3.27] years; 1619 Black/African American [25.9%], 3151 White [50.3%], and 4970 male [79.4%]), were included in this study. Overall, 16 of 140 ADOS-2 diagnostic items (11%) had a significant DIF. For race, 8 items had a significant DIF, 6 of which involved SA. No single item showed DIF consistently across all modules. Most items with DIF had greater difficulty and poorer discrimination in Black/African American children compared with White children. For sex, 5 items showed significant DIF. DIF was split across SA and RRB. However, hand mannerisms evidenced DIF across all 5 algorithms, with generally greater difficulty. The magnitude of DIF was only moderate to large for 2 items: hand mannerisms (among female children) and repetitive interests (among Black/African American children). The overall estimated effect of DIF on total DTF was not large.

CONCLUSIONS AND RELEVANCE

These findings suggest that the ADOS-2 does not have widespread systematic measurement bias across race or sex. However, the findings raise some concerns around underdetection that warrant further research.

Urban-Rural Disparity in the Incidence of Diagnosed Autism Spectrum Disorder in Taiwan: A 10-Year National Birth Cohort Follow-up Study

Autism spectrum disorder (ASD) is reportedly more prevalent in urban areas partly because of better accessibility and affordability to healthcare. With universal health insurance coverage in Taiwan, a previous study has shown no urban-rural disparity in the utilization rate of a child's preventive healthcare. Under this circumstance, we followed a birth cohort of 176,273 live births from 2006 to 2015 to detect the differences in ASD incidence between urbanicities. After adjusting for socioeconomic factors, children were 1.28 (95% confidence interval (CI): 1.13-1.44) and 1.54 (95% CI: 1.36-1.75) more likely to acquire ASD in satellite and urban areas compared with those in rural areas, respectively. A gradient association between parental educational attainment and ASD incidence was also noted. Greater ASD incidences in more urbanized areas and more advanced educated parents' children were detected under a circumstance with low barriers to healthcare.

Is genetic liability to ADHD and ASD causally linked to educational attainment?

BACKGROUND

The association patterns of attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) with educational attainment (EA) are complex; children with ADHD and ASD are at risk of poor academic outcomes, and parental EA has been associated with risk of ADHD/ASD in the offspring. Little is known on the causal links between ADHD, ASD, EA and the potential contribution of cognitive ability.

METHODS

Using the latest genome-wide association studies (GWAS) summary data on ADHD, ASD and EA, we applied two-sample Mendelian randomization (MR) to assess the effects of genetic liability to ADHD and ASD on EA. Reverse direction analyses were additionally performed. Multivariable MR was performed to estimate any effects independent of cognitive ability.

RESULTS

Genetic liability to ADHD had a negative effect on EA, independently of cognitive ability (MVMRIVW: -1.7 months of education per doubling of genetic liability to ADHD; 95% CI: -2.8 to -0.7), whereas genetic liability to ASD a positive effect (MVMRIVW: 30 days per doubling of the genetic liability to ASD; 95% CI: 2 to 53). Reverse direction analyses suggested that genetic liability to higher EA had an effect on lower risk of ADHD, independently of cognitive ability (MVMRIVWOR: 0.33 per SD increase; 95% CI: 0.26 to 0.43) and increased risk of ASD (MRIVWOR: 1.51 per SD increase; 95% CI: 1.29 to 1.77), which was partly explained by cognitive ability (MVMRIVWOR per SD increase: 1.24; 95%CI: 0.96 to 1.60).

CONCLUSIONS

Genetic liability to ADHD and ASD is likely to affect educational attainment, independently of underlying cognitive ability.

Prevalence and Premature Mortality Statistics of Autism Spectrum Disorder Among Children in Korea: A Nationwide Population-Based Birth Cohort Study

BACKGROUND

The aim of this study was to estimate the 8-year prevalence and mortality statistics of autism spectrum disorder (ASD) according to birth year (2002-2012).

METHODS

We used the National Health Insurance Service database with 4,989,351 children born from 2002 to 2012 including 35,529 children diagnosed with ASD until 8 years of age. The 8-year cumulative prevalence of ASD was calculated annually (2010-2020) with 8 years of follow-up. The 8-year mortality was estimated using Cox models adjusted for sex, household income, area of residence, and year of birth.

RESULTS

Of the 473,494 children born in 2002, 2,467 (5.2 per 1,000 births) were diagnosed with ASD until 2010. The ASD prevalence was 2.6 times higher among boys (1,839; 7.4 per 1,000 boy births) than girls (628; 2.8 per 1,000 girl births). Of the 467,360 children born in 2012, 4,378 (9.4 per 1,000 births) were diagnosed with ASD until 2020. The ASD prevalence was 2.7 times higher among boys (3,246; 13.5 per 1,000 boy births) than girls (1,132; 5.0 per 1,000 girl births). The risk of all-cause mortality was higher among children with ASD than those without (hazard ratio [HR], 2.340; 95% confidence interval [CI], 2.063-2.654), which is substantially higher among girls (HR, 4.223; 95% CI, 3.472-5.135) than boys (HR, 1.774; 95% CI, 1.505-2.090).

CONCLUSION

The present study demonstrated that national-level prevalence and mortality statistics of ASD can be estimated effectively using claims data comprising newborns born each year and followed up for to the age of interest. Because this information is essential to establish evidence-based policies, health authorities need to consider producing epidemiological information of ASD continuously using the same methodology.

Prevalence of autism spectrum disorder in a large, diverse metropolitan area: Variation by sociodemographic factors

Autism spectrum disorder (ASD) prevalence estimates have varied by region. In this study, ASD prevalence, based on active case finding from multiple sources, was determined at the county and school district levels in the New Jersey metropolitan area. Among children born in 2008, residing in a four-county area and enrolled in public school in 2016, ASD prevalence was estimated to be 36 per 1000, but was significantly higher in one region-54 per 1000 and greater than 70 per 1000, in multiple school districts. Significant variation in ASD prevalence by race/ethnicity, socioeconomic status (SES), and school district size was identified. Highest prevalence was in mid-SES communities, contrary to expectation. Prevalence among Hispanic children was lower than expected, indicating a disparity in identification. Comprehensive surveillance should provide estimates at the county and town levels to appreciate ASD trends, identify disparities in detection or treatment, and explore factors influencing change in prevalence. LAY SUMMARY: We found autism prevalence to be 3.6% in New Jersey overall, but higher in one region (5.4%) and in multiple areas approaching 7.0%. We identified significant variation in autism spectrum disorder (ASD) prevalence by race/ethnicity, socioeconomic status (SES) and school district size. Mapping prevalence in smaller, well-specified, regions may be useful to better understand the true scope of ASD, disparities in ASD detection and the factors impacting ASD prevalence estimation.

COVID-19 vaccination among individuals with autism spectrum disorder: A population-based study

BACKGROUND

Individuals with autistic spectrum disorder (ASD) are more susceptible to COVID-19 morbidity and should therefore be prioritized for vaccination. Although individuals with neurodevelopmental disabilities are given some priority in Israel, it is unclear to what extent individuals with ASD are being vaccinated relative to that of the general population. This study was aimed to assess vaccination prevalence among individuals with ASD.

METHOD

Individuals with ASD, and age- and sex-matched controls (total n = 11,080), were assessed for prevalence of COVID-19 vaccination by February 2021, approximately a month and a half after the national vaccination distribution plan was launched in Israel. Data were obtained from the database of Clalit Health Services (CHS), the largest healthcare organization in Israel.

RESULTS

Individuals with ASD were more likely to be vaccinated for COVID-19 (OR = 2.55, 95 %CI 2.35-2.75, p < .001) across both sexes, but only in the 16-20 (OR = 2.04, 95 %CI 1.79-2.32, p < .001) and 21-40 (OR = 3.95, 95 %CI 3.52-4.43, p < .001) age groups. After adjusting for chronic illnesses, ASD remained significant in predicting the uptake of COVID-19 vaccination.

CONCLUSIONS

Efforts to prioritize ASD patients may improve vaccination prevalence among individuals with ASD, especially among younger individuals. Healthcare providers worldwide should therefore consider prioritization policies so as to increase vaccination rates among this vulnerable population.

Development and Validation of the Assessment of Bullying Experiences Questionnaire for Neurodivergent Youth

Bullying victimization is a prevalent concern for neurodivergent (e.g., autistic, ADHD) youth. Bullying assessment methods vary widely and there is currently no questionnaire specific to neurodivergent youth. The Assessment of Bullying Experiences (ABE) was created to fill this gap. The ABE questionnaire was completed by 335 parents of school-age youth characterized as autistic, having ADHD, or community comparison. Exploratory and Confirmatory Factor Analysis identified a four-factor solution, aligning with verbal, physical, relational, and cyber victimization. Construct validity analyses indicate the ABE converges with an existing bullying questionnaire and diverges from disruptive behavior or internalizing symptoms. The ABE questionnaire is a valid measure of bullying that furthers understanding of nuance in peer victimization for neurodivergent youth and informs group-specific intervention.

Mortality of Children with Autism Spectrum Disorder Using Data from a Large-Scale Korean National Cohort

PURPOSE

This study aimed to investigate the association between autism spectrum disorder (ASD) diagnosis and mortality among children using the data from a large-scale national cohort of Korean infants and children. We also explored the association between hearing impairment detected during early infancy and mortality.

MATERIALS AND METHODS

We performed a retrospective cohort study using the nationwide claims data of the Republic of Korea. Children born between 2007 and 2014 (n=3598904) were followed up until 2020. Cox proportional hazard models were used to examine the association between ASD diagnosis and mortality among children. Then, in order to evaluate the association between hearing impairment and mortality, Cox proportional hazard models were built using the responses related to hearing impairment asked during the first health screening (at age 4-6 months).

RESULTS

Of the 3598904 children born between 2007 and 2014, 32878 children (0.9%) were diagnosed with ASD until the end of 2020. We identified that ASD diagnosis was associated with higher mortality among children [hazard ratio (HR)=2.5, 95% confidence interval (CI): 2.2-2.9]. This association was stronger among girls (HR=4.8, 95% CI: 3.9-5.8) compared to boys (HR=1.9, 95% CI: 1.6-2.2). We found that hearing impairment detected during infancy was associated with higher mortality among children with ASD diagnosis.

CONCLUSION

ASD diagnosis was associated with higher mortality among Korean children. This association was stronger in girls than in boys. Hearing impairment detected during infancy was also associated with higher mortality among children diagnosed with ASD.

Early adversity and positive parenting: Association with cognitive outcomes in children with autism spectrum disorder

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impairments in social communication and repetitive behaviors. Children with ASD are statistically more likely to experience early adversity; however, little is known about the types of early adversity that place these children at risk, the role of parenting as a protective factor, and how this early life stress impacts cognitive outcomes. We assessed early adversity in 302 children (ASD = 98) aged 6-16 years old, using parent-based report. To identify protective factors, we assessed parenting styles using parent surveys. Executive functions were assessed in the children using the WISC-V. Children with ASD had an increased incidence of familial stressors compared to the typically developing (TD) group. Positive parenting was associated with a significant decrease in the incidence of familial adverse events for both children with ASD and TD children. Examining the relationship between adversity and cognitive outcomes, in young children (6-11 years) with ASD, environmental stressors were associated with cognitive impairments. Findings suggest children with ASD may be at higher risk for familial adversity than their TD peers. However, all children benefit from positive parenting styles, which may mitigate the adverse effects of family-based early life stress. LAY SUMMARY: Some key features of Autism Spectrum Disorder (ASD) include difficulties with communication and social impairments. This means that children with ASD may be more likely to experience early adversity (stressful social interactions which take place during childhood) than children without ASD. Research in typically developing (TD) children has shown that experiencing more stressful events in childhood can cause changes in the brain, which can potentially impact the child's memory, reasoning, and decision-making skills later in life. However, there is evidence to suggest that having a nurturing relationship with a parent can offset some of the negative impacts of childhood adversity. In our study, we found that children with ASD are more likely to experience family-related stress compared to TD children. Having a positive relationship with a parent, however, was linked to experiencing this type of stress less often for all children, regardless of whether they were diagnosed with ASD. We also found that stressors related to environmental factors like financial instability were associated with lower cognitive abilities in children with ASD under 12 years of age. Understanding how these factors interact and differ in children with ASD can help to build stronger families and help children with ASD to thrive throughout their development.

Air Pollution during Pregnancy and Childhood Autism Spectrum Disorder in Taiwan

Air pollutants have been linked to some diseases in humans, but their effects on the nervous system were less frequently evaluated. Autism spectrum disorder (ASD) is a group of neurondevelopmental disorders of which the etiology is still unknown. We conducted a study in Taiwan to evaluate the possible associations between prenatal exposure to air pollutants and ASD. From a random sample of one million people in the National Insurance Research Database, we identified all the infants born between 1996 and 2000. We followed them till the end of 2013 and identified cases of ASD. We traced back the mothers’ residence and assessed the exposure to air pollutants using the data obtained from the air quality monitoring database maintained by the government, which included ozone (O₃), carbon monoxide (CO), nitrogen dioxide (NO₂), sulfur dioxide (SO₂), and particulate matters with diameter less than 10 µm (PM₁₀). Cox proportional hazard models were constructed to evaluate the associations between childhood ASD and exposures to the pollutants in the three trimesters and the whole gestation. We identified a total of 63,376 newborns and included 62,919 as the study cohort. After adjusting for other risk factors, we observed trimester-specific associations between levels of CO, NO₂, and PM₁₀ and the risk of childhood ASD. An increase of 1 ppm of CO in the first, second, and third trimester was associated with a hazard ratio (HR) of 1.93 (95% confidence interval [CI]: 1.55–2.39), 1.77 (95%CI: 1.41–2.22), and 1.75 (95%CI: 1.39–2.21), respectively. An increase of 10 ppb in the level of NO₂ in the first, second, and third trimester was associated with an HR of 1.39 (95%CI: 1.22–1.58), 1.25 (95%CI: 1.10–1.42), and 1.18 (95%CI: 1.03–1.34), respectively. In conclusion, we found that exposures to CO and NO₂ in all three trimesters were associated with increased risks of developing ASD.

Primary Care Provider and Child Characteristics Associated with Age of Diagnosis of Autism Spectrum Disorder: A Population-Based Cohort Study

In a cohort of kindergarten children in Ontario, Canada with Autism Spectrum Disorder (ASD) (n = 1522), we tested the association of age at ASD diagnosis and characteristics of (1) the child's primary care provider and, (2) the child using health administrative databases. We tested the association of primary care practice model and time from developmental delay identification to age at ASD diagnosis. Older age of diagnosis was associated with provider foreign training (vs. domestic) (adjusted Hazard Ratio [aHR] 1.17, 95% CI 1.03, 1.33) but not sex, care model, and years of practice. After developmental delay identification, children with paediatricians had longer time to diagnosis than children with providers in care models (aHR 0.68, 95% CI 0.54, 0.86). Findings can be used to inform primary care provider ASD training.

Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach

Background

Care for children with autism spectrum disorder (ASD) can be challenging for families and medical care systems. This is especially true in low- and- middle-income countries such as Bangladesh. To improve family–practitioner communication and developmental monitoring of children with ASD, mCARE (Mobile-Based Care for Children with Autism Spectrum Disorder Using Remote Experience Sampling Method) was developed. Within this study, mCARE was used to track child milestone achievement and family sociodemographic assets to inform mCARE feasibility/scalability and family asset–informed practitioner recommendations.

Objective

The objectives of this paper are threefold. First, it documents how mCARE can be used to monitor child milestone achievement. Second, it demonstrates how advanced machine learning models can inform our understanding of milestone achievement in children with ASD. Third, it describes family/child sociodemographic factors that are associated with earlier milestone achievement in children with ASD (across 5 machine learning models).

Methods

Using mCARE-collected data, this study assessed milestone achievement in 300 children with ASD from Bangladesh. In this study, we used 4 supervised machine learning algorithms (decision tree, logistic regression, K-nearest neighbor [KNN], and artificial neural network [ANN]) and 1 unsupervised machine learning algorithm (K-means clustering) to build models of milestone achievement based on family/child sociodemographic details. For analyses, the sample was randomly divided in half to train the machine learning models and then their accuracy was estimated based on the other half of the sample. Each model was specified for the following milestones: Brushes teeth, Asks to use the toilet, Urinates in the toilet or potty, and Buttons large buttons.

Results

This study aimed to find a suitable machine learning algorithm for milestone prediction/achievement for children with ASD using family/child sociodemographic characteristics. For Brushes teeth, the 3 supervised machine learning models met or exceeded an accuracy of 95% with logistic regression, KNN, and ANN as the most robust sociodemographic predictors. For Asks to use toilet, 84.00% accuracy was achieved with the KNN and ANN models. For these models, the family sociodemographic predictors of “family expenditure” and “parents’ age” accounted for most of the model variability. The last 2 parameters, Urinates in toilet or potty and Buttons large buttons, had an accuracy of 91.00% and 76.00%, respectively, in ANN. Overall, the ANN had a higher accuracy (above ~80% on average) among the other algorithms for all the parameters. Across the models and milestones, “family expenditure,” “family size/type,” “living places,” and “parent’s age and occupation” were the most influential family/child sociodemographic factors.

Conclusions

mCARE was successfully deployed in a low- and middle-income country (ie, Bangladesh), providing parents and care practitioners a mechanism to share detailed information on child milestones achievement. Using advanced modeling techniques this study demonstrates how family/child sociodemographic elements can inform child milestone achievement. Specifically, families with fewer sociodemographic resources reported later milestone attainment. Developmental science theories highlight how family/systems can directly influence child development and this study provides a clear link between family resources and child developmental progress. Clinical implications for this work could include supporting the larger family system to improve child milestone achievement.

Parental Socioeconomic Status and Autism Spectrum Disorder in Offspring: A Population-Based Cohort Study in Taiwan

Studies from the United States have shown increasing incidence of autism spectrum disorder (ASD) with increasing socioeconomic status (SES), whereas in Scandinavian countries, no such relation was identified. We investigated how ASD risk in offspring varied according to parental SES in Taiwan, where there is universal health care. Through linking birth reporting data and data from Taiwan's national health insurance program, we studied 706,111 singleton births from 2004 to 2007 and followed them until 2015. Parental SES was determined by monthly salary at the time of childbirth, and child neuropsychiatric outcomes were defined using International Classification of Diseases codes. We identified 7,323 ASD cases and 7,438 intellectual disability (ID) cases; 17% of ASD cases had co-occurring ID. In multivariable Cox regression analysis, higher SES was independently associated with higher risk of ASD after we took into account urbanization levels, child sex, parental age, and other covariates. By contrast, higher SES was independently associated with lower risk of ID. Besides the SES disparity in ASD case ascertainment and in the access to health care, findings from Taiwan suggest that other social, environmental, biological, and immunological factors linked with parental SES levels may contribute to the positive relation of SES and ASD risk.

Factors influencing access to early intervention for families of children with developmental disabilities: A narrative review

BACKGROUND

Early intervention (EI) can improve a range of outcomes for families of children with developmental disabilities. However, research indicates the level of access does not always match the level of need. To address disparities, it is essential to identify factors influencing access.

METHOD

We propose a framework where access to EI is conceptualised as a process that includes three main phases. A narrative review examined potential barriers, facilitators and modifiers of access for each phase.

RESULTS

The process of access to EI includes the following: 1) recognition of need, 2) identification or diagnosis and 3) EI provision or receipt. Several factors affecting access to EI for each phase were identified, related to the family, services, the intersection between family and services, and the context.

CONCLUSION

A broad range of factors appear to influence the process of access to EI for this population. Our framework can be used in future research investigating access. Broad implications for policy, practice and future research to improve access to EI are discussed.

Who gains and who loses? Sociodemographic disparities in access to special education services among autistic students

Little is known about differences in the allocation of special education services to students with autism compared with students with other primary learning differences (e.g., intellectual disability [ID], specific learning disability [SLD]) and the comparative impact of sociodemographic factors on special education service receipt. The present study aimed to compare allocation of services (i.e., quantity and types) between students eligible for special education services under autism, SLD and ID, and to identify differences in sociodemographic predictors (e.g., race, neighborhood income) of service allocation. Data were culled from special education administrative records from a large urban, primarily Hispanic, Latino, or Spanish-serving school district from academic years 2011-2012 to 2016-2017. Participants included N = 76,428 students (N_autism  = 18,151, N_SLD  = 54,001, N_ID  = 4,276) ages 2-18. Results showed that autistic students received, on average, more services than students with SLD. Services received by students served under autism and SLD eligibility were more congruent with areas of need (e.g., language, occupational therapy) relative to students served under ID. Student-level socioeconomic status (free and reduced lunch) was more positively predictive of the number of special education services received than the neighborhood income of the school the student attended. Finally, the most significant racial disparities in service allocation were observed among students served under autism eligibility. The present study demonstrates the critical role of economic resources in the quantity and types of services received, and the desirability of a public education for well-resourced families who are possibly best situated to navigate special education services. LAY SUMMARY: An eligibility of autism in special education confers a significant advantage in the number of services a student receives. Disparity in the quantity of special education services exists among autistic students across many sociodemographic factors. Most notably, greater allocation of services to non-Hispanic, Latino, or Spanish, White American, European American, or Middle Eastern American students and students who do not receive free and reduced lunch.

The Prevalence of Broad Autism Phenotype in Young Adults: The Roles of Genetic Relationship to Autism, Gender, and Academic Major

Subclinical levels of autism traits are known as the Broad Autism Phenotype (BAP) and include a rigid personality, aloof personality, and pragmatic language difficulties. Genetic relatives of children with autism spectrum disorder (ASD), males, and those in math- or science-oriented careers may be more likely to exhibit BAP. This study examined the prevalence of BAP in young adults to assess the influence of genetic relationship to ASD, gender, and academic field. Online self-report data from 170 undergraduate college students included the Broad Autism Phenotype Questionnaire (BAPQ), information about genetic relationship to ASD, and demographic information. Results showed no relationship between BAP and level of shared ASD genes, gender, or academic major. However, 25.3% of our college-aged sample met BAP cutoffs, compared to previous estimates of only 5-9% of adult parents of neurotypical children and 14-23% of parents of children with ASD. These findings expand our understanding of subclinical autistic traits in young adults. This research highlights the need to investigate community-based samples of various age groups when estimating the prevalence of BAP to better-understand the extent to which these personality characteristics are present in the general population.