Prevalence and Trends of Developmental Disabilities among Children in the United States: 2009-2017

Evaluation of apparently healthy Egyptian infants and toddlers on the bayley-III scales according to age and sex

BACKGROUND

Child development is shaped throughout the first years of life through the interaction of genetics and the environment. Bayley-III is valuably used to determine early developmental delay (DD). The aim of this study was to detect the differences in performance of a sample of apparently healthy Egyptian infants and toddlers on the Bayley-III scales in relation to their age and gender.

METHODS

This was a cross-sectional study. Bayley scales were applied to 270 of the 300 recruited children following the inclusion criteria; to avoid potential risk factors affecting development. Assessment included cognitive, language and motor skills. Engaged children aged 18-42 months were divided into 4 age groups with six-month intervals.

RESULTS

Approximately 78.4%, 76.2%, and 72% of the participants had average and above average scores in the cognitive, motor, and language domains, respectively. The language domain was characteristically impacted. The oldest age group (36-42 months) scored the highest means composite scores, while the 2nd group aged 24 - <30 months, scored the lowest means in the three evaluated domains. In general, girls had non-significantly higher composite scores than boys, with a small effect size (d = 0.2-0.4). In the language domain, girls aged 30 to < 36 months scored significantly higher composite scores than boys (p < 0.05), with a medium effect size (d = 0.73).

CONCLUSION

The study indicates that the performance of apparently healthy Egyptian children on the Bayley III evaluation differs in relation to age and sex. The most vulnerable age group at potential risk of DD was children aged 24-30 months. Efforts must be directed to investigate the nutritional, physical, psychological and safety needs of this group. Attention must be paid to early childhood intervention programs that stimulate development, especially language development, and they must be tailored on the basis of age and gender. Gender-specific norms may be needed in the evaluation of language development.

Identifying critical windows of prenatal phenol, paraben, and pesticide exposure and child neurodevelopment: Findings from a prospective cohort study

BACKGROUND

This study aimed to investigate how exposure to a mixture of endocrine disrupting chemicals (EDCs) during two points in pregnancy affects early childhood neurodevelopment.

METHODS

We analyzed publicly-available data from a high-risk cohort of mothers and their children (2007-2014) that measured six EDCs including methyl-, ethyl- and propyl parabens (MEPB, ETPB, PRPB), Bisphenol-A (BPA), 3,5,6-trichloro-2-pyridinol (TCPy), 3-phenoxybenzoic acid (3-PBA) in prenatal urine samples during the second and third trimesters. Neurodevelopmental scores were assessed using Mullen Scales of Early Learning (MSEL) at age 3. We used mean field variational Bayes for lagged kernel machine regression (MFVB-LKMR) to investigate the association between trimester-specific co-exposure to the six EDCs and MSEL scores at age 3, stratified by sex.

RESULTS

The analysis included 130 children. For females, the relationship between BPA and 3PBA with MSEL score varied between the two trimesters. In the second trimester, effect estimates for BPA were null but inversely correlated with MSEL score in the third trimester. 3PBA had a negative relationship with MSEL in the second trimester and positive correlation in the third trimester. For males, effect estimates for all EDCs were in opposing directions across trimesters. MFVB-LKMR analysis identified significant two-way interaction between EDCs for MSEL scores in both trimesters. For example, in females, the MSEL scores associated with increased exposure to TCPy were 1.75 units (95%credible interval -0.04, -3.47) lower in the 2nd trimester and 4.61 (95%CI -3.39, -5.84) lower in the third trimester when PRPB was fixed at the 75th percentile compared to when PRPB was fixed at the 25th percentile.

CONCLUSION

Our study provides evidence that timing of EDC exposure within the prenatal period may impact neurodevelopmental outcomes in children. More of these varying effects were identified among females. Future research is needed to explore EDC mixtures and the timing of exposure during pregnancy to enhance our understanding of how these chemicals impact child health.

Integrating Data Across Multiple Sites in the Northeastern United States to Examine Associations Between a Prenatal Metal Mixture and Child Cognition

We applied a novel hierarchical Bayesian weighted quantile sum (HBWQS) regression to combine data across 3 study sites to examine associations between prenatal exposure to metals and cognitive functioning in childhood. Data from 326 mother-child dyads enrolled in an ongoing cohort study, the Programming of Intergenerational Stress Mechanisms (PRISM) Study, based in New York, New York (recruitment in 2013-2020) and Boston, Massachusetts (recruitment 2011-2013), and the First Thousand Days of Life (FTDL) cohort study (recruitment 2012-2019), based in northern Virginia, were used. Arsenic, cadmium, manganese, lead, and antimony were measured in urine collected during pregnancy. Cognitive functioning was assessed in children aged 3-11 years using the National Institutes of Health Toolbox Cognition Battery. The HBWQS regression showed a negative association between the urinary metal mixture and the Cognition Early Childhood Composite Score in the PRISM New York City (β = -3.67, 95% credible interval (CrI): -7.61, -0.01) and FTDL (β = -3.76, 95% CrI: -7.66, -0.24) samples, with a similar trend in the PRISM Boston sample (β = -3.24, 95% CrI: -6.77, 0.144). We did not detect these associations in traditionally pooled models. HBWQS regression allowed us to account for site heterogeneity and detect associations between prenatal metal-mixture exposure and cognitive outcomes in childhood. Given the ubiquity of metals exposure, interventions aimed at reducing prenatal exposure may improve cognitive outcomes in children. This article is part of a Special Collection on Environmental Epidemiology.

Developmental delay in a community setting: Role of a primary care physician

The early part of childhood especially the first 1000 days plays an essential role in the growth and development of the child. Various internal and external factors affect the child's development, including genetic factors, socioeconomic status, sociocultural environment, maternal mental health, and the parenting environment. There is a high prevalence of developmental delay 17.6% globally, whereas in India, it is around 6.6%. Numerous screening tools are available to detect developmental delay in the child early. Early identification and intervention are crucial because we can have a better outcome for the child if intervention is performed on time. The children can be identified during the postnatal follow-up period. Literature has shown that few parents take their children for regular developmental assessment after delivery. Identifying the developmental impairment early from a primary care physician's point of view is essential. In India under the Rashtriya Bal Swasthya Kariyakram (RBSK), the children are screened at home, Anganwadi centers, and schools to detect at-risk children under 4D's, so that early intervention can be planned by linking them to District Early Intervention Center.

Victimization, Disability Status, and Fear Among U.S. College Students

Levels of fear of crime are high in the United States, though they differ across groups. Researchers have identified characteristics associated with high levels of fear of crime, often noting that those most fearful also have vulnerabilities that increase their risk of experiencing victimization. Thus, having a vulnerability and experiencing victimization may exacerbate fear of crime. One such characteristic that may impact fear of crime is having a disability. The current study uses data from the American College Health Association's National College Health Assessment Spring 2021 survey to investigate how disability interacts with victimization to impact fear of crime among college students. To do so, assessments of personal safety in multiple contexts are used: at night, during the day, on campus, and in the community. Results show that disability increases the odds of feeling unsafe across contexts, as does having a history of victimization. Nonetheless, disability does not significantly interact with victimization. It may be that having a disability is such a strong risk factor for feeling unsafe that being a victim does not significantly further increase this assessment. Institutions of higher learning should use their offices of accommodation as well as victim services to assist students in reducing their feelings of being unsafe.

Prevalence of intellectual disability among adults born in the 1980s and 1990s in the United States

BACKGROUND

Prevalence of intellectual disability (ID) is currently estimated through parent report on surveys of children. It is difficult to estimate the number of adults living with ID in the United States because no comprehensive survey or surveillance allows for identification. The purpose of this study was to estimate the prevalence and number of adults with ID born between 1980 and 1999 using multiple years of the National Health Interview Survey (NHIS) and Census data.

METHODS

We concatenated the NHIS from 1997-2016 that evaluated parental response about whether a child aged 3-17 years had an ID. Using weighted survey analyses, we estimated the prevalence of ID among individuals across four birth cohorts-(1) 1980-1984, (2) 1985-1989, (3) 1990-1994, and (4) 1995-1999. The number of adults with ID was then extrapolated by applying these prevalence rates to Census population estimates (as of 1 July 2021) of respective birth cohorts.

RESULTS

Weighted prevalence of ID varied by birth cohort, sex, race and ethnicity, and US Census Bureau regions. The overall prevalence rate was 1.066 [95% confidence interval (CI): 0.831-1.302] for adults born between 1980 and 1984, 0.772 (CI: 0.654-0.891) for adults born between 1985 and 1989, 0.774 (0.675-0.874) for adults born between 1990 and 1994, and 1.069 (CI: 0.898-1.240) for adults born between 1995 and 1999. Overall, we estimate that 818 564 adults with ID who were approximately 21-41 years were living in the United States as of 2021.

CONCLUSIONS

This study provides researchers examining adult health outcomes with an estimated denominator of young and middle-aged adults living with ID in the United States. Policymakers can use this information to support justification for resource and service needs, and clinicians may benefit from understanding that ID is a lifelong developmental condition often with additional physical, emotional and developmental needs requiring tailored care.

Tackling myelin deficits in neurodevelopmental disorders using drug delivery systems

Interest in myelin and its roles in almost all brain functions has been greatly increasing in recent years, leading to countless new studies on myelination, as a dominant process in the development of cognitive functions. Here, we explore the unique role myelin plays in the central nervous system and specifically discuss the results of altered myelination in neurodevelopmental disorders. We present parallel developmental trajectories involving myelination that correlate with the onset of cognitive impairment in neurodevelopmental disorders and discuss the key challenges in the treatment of these chronic disorders. Recent developments in drug repurposing and nano/micro particle-based therapies are reviewed as a possible pathway to circumvent some of the main hurdles associated with early intervention, including patient's adherence and compliance, side effects, relapse, and faster route to possible treatment of these disorders. The strategy of drug encapsulation overcomes drug solubility and metabolism, with the possibility of drug targeting to a specific compartment, reducing side effects upon systemic administration.

Variation in identifying children and adolescents with disability and developmental disability in population-based public health surveys

BACKGROUND

The term "developmental disability" (DD) is inconsistently defined and applied depending on purpose and across sources, including in legislation.

OBJECTIVE

This project aimed to identify existing definitions of disability and DD and to determine the extent to which each definition could be operationalized to produce prevalence estimates using data from U.S. national surveys.

METHODS

Using data among children <18 years from the 2016-2018 National Health Interview Survey (NHIS) and National Survey of Children's Health (NSCH), we estimated the prevalence of two definitions of disability (Washington Group Short Set on Functioning, American Community Survey) and seven definitions of DD [Health and Human Services (ever/current), Developmental Disabilities Assistance and Bill of Rights Act of 2000 (1+, 2+, or 3+ components), and Diagnostic and Statistical Manual of Mental Disorders, 5th ed (ever/current)]. Complex sample design variables and weights were used to calculate nationally representative prevalence.

RESULTS

Disability (NHIS: 5.2-6.3%; NSCH: 9.2-11.9%) and DD prevalence (NHIS: 0.6-18.0% and NSCH: 0.2-22.2%) varied depending on the definition and data source. For the same definition, NSCH prevalence estimates tended to be higher than NHIS estimates.

CONCLUSIONS

The substantial variability in estimated prevalence of disability and DD among children in the United States may be in part due to the surveys not representing all components of each definition. Different or additional questions in national surveys may better capture existing definitions of disability and DD. Considering the data collection goals may help determine the optimal definition to provide useful information for public health action.

"It makes me a better person": The unique experiences of parenting multiple children who experience neurodevelopmental disability

BACKGROUND

Much research has explored how raising a child with a neurodevelopmental disability influences parents' well-being. However, little research has focused on the unique experiences of parenting multiple children with neurodevelopmental disabilities. We explored the unique experiences of parenting multiple children with neurodevelopmental disabilities with a focus on mothers' well-being and social participation.

METHODS

Ten mothers who parent multiple children with neurodevelopmental disabilities participated in semi-structured interviews. Interviews were analyzed using a reflexive thematic approach.

RESULTS

Three themes were identified: 'Knowledge is power' described positive influences of enhanced disability knowledge and advocacy with each child who experienced disability. 'Shifts in wellbeing' acknowledged these mothers' exhaustion, decreased time for self-care, and invisible work, yet also increased feelings of empowerment, purpose and empathy for others. '(Dis)Connection and engagement with others' reflected struggles of balancing responsibilities, social and community participation, and experiences with isolation. Yet, mothers' also experienced enhanced disability community and family connections, and a sense of meaning and purpose.

CONCLUSIONS AND IMPLICATIONS

Findings highlighted challenges, and many rewarding and unique experiences of parenting multiple children with neurodevelopmental disabilities. Health, education and social service practitioners are encouraged to acknowledge parent's challenges, but also celebrate and draw on families' strengths and knowledge.

Seeking Validation and Creating Meaningful Interactions: Perceptions of a Parent-Mediated Infant Intervention

Infancy, a formative period for development, has been identified as an advantageous time to provide family-centered support for children with delays. Families should be included as stakeholders during development of such interventions to ensure social value. We describe a preliminary randomized controlled trial evaluating Infant Achievements (IA), an 8-week (16-session) parent-mediated intervention for parents of infants 8-12 months old with social communication delays. This study reports our qualitative examination of the intervention's social validity. We conducted focus groups with 7 IA parent participants and analyzed their responses using conventional content analysis. Five themes emerged: (a) difficulty identifying resources to address concerns, (b) seeking validation of concerns, (c) seeking support to enhance children's development, (d) experiencing a supportive coaching relationship, and (e) creating meaningful interactions to support children's communication and social skills. Our results emphasize the necessity of partnering with families in the development of evidence-based family-centered interventions for infants with developmental delays to maximize their social value.

Estimating the Prevalence of Autism Spectrum Disorder in New South Wales, Australia: A Data Linkage Study of Three Routinely Collected Datasets

Routinely collected data help estimate the prevalence of autism spectrum disorder (ASD) in jurisdictions without active autism surveillance. We created a population-based cohort of 1,211,834 children born in 2002-2015 in New South Wales, Australia using data linkage. Children with ASD were identified in three datasets - disability services, hospital admissions, and ambulatory mental health data. The prevalence of ASD in the cohort was 1.3% by age 12 and prevalence at age 6 increased an average of 4.1% per year (95% Confidence Interval, 3.3%, 4.8%). Most children with ASD were identified in disability services data (87%), although data linkage identified 1,711 additional cases that were more likely female, older at first contact, and living in major cities and less disadvantaged areas.

Using Longitudinal Twitter Data for Digital Epidemiology of Childhood Health Outcomes: An Annotated Data Set and Deep Neural Network Classifiers

We manually annotated 9734 tweets that were posted by users who reported their pregnancy on Twitter, and used them to train, evaluate, and deploy deep neural network classifiers (F1-score=0.93) to detect tweets that report having a child with attention-deficit/hyperactivity disorder (678 users), autism spectrum disorders (1744 users), delayed speech (902 users), or asthma (1255 users), demonstrating the potential of Twitter as a complementary resource for assessing associations between pregnancy exposures and childhood health outcomes on a large scale.

Neurodevelopmental disorders as a risk factor for temporomandibular disorder: evidence from Mendelian randomization studies

Objective: This study aims to clarify the incidence rate of temporomandibular joint disease in patients with mental disorders. Methods: Data extracted from the Psychiatric Genomics Consortium and FinnGen databases employed the Mendelian Randomization (MR) method to assess the associations of three neurodevelopmental disorders (NDDs)-Attention-Deficit/Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), and Tourette's Disorder (TD)-as exposure factors with Temporomandibular Disorder (TMD). The analysis used a two-sample MR design, employing the Inverse Variance Weighted (IVW) method to evaluate the relationships between these disorders and Temporomandibular Disorder. Sensitivity analysis and heterogeneity assessments were conducted. Potential confounding factors like low birth weight, childhood obesity, and body mass index were controlled for. Results: The study found that ADHD significantly increased the risks for TMD (OR = 1.2342, 95%CI (1.1448-1.3307), p < 0.00001), TMD (including avohilmo) (OR = 1.1244, 95%CI (1.0643-1.1880), p = 0.00003), TMD-related pain (OR = 1.1590, 95%CI (1.0964-1.2252), p < 0.00001), and TMD-related muscular pain associated with fibromyalgia (OR = 1.1815, 95%CI (1.1133-1.2538), p < 0.00001), while other disorders did not show significant causal relationships. Conclusion: This study reveals the elevated risk of various TMD aspects due to ADHD. Furthermore, we discuss the link between low vitamin D levels ADHD and TMD. Future research should address these limitations and delve further into the complex interactions between ADHD, ASD, TD, and TMD.

The spectrum of pre-mRNA splicing in autism

Disruptions in spatiotemporal gene expression can result in atypical brain function. Specifically, autism spectrum disorder (ASD) is characterized by abnormalities in pre-mRNA splicing. Abnormal splicing patterns have been identified in the brains of individuals with ASD, and mutations in splicing factors have been found to contribute to neurodevelopmental delays associated with ASD. Here we review studies that shed light on the importance of splicing observed in ASD and that explored the intricate relationship between splicing factors and ASD, revealing how disruptions in pre-mRNA splicing may underlie ASD pathogenesis. We provide an overview of the research regarding all splicing factors associated with ASD and place a special emphasis on five specific splicing factors-HNRNPH2, NOVA2, WBP4, SRRM2, and RBFOX1-known to impact the splicing of ASD-related genes. In the discussion of the molecular mechanisms influenced by these splicing factors, we lay the groundwork for a deeper understanding of ASD's complex etiology. Finally, we discuss the potential benefit of unraveling the connection between splicing and ASD for the development of more precise diagnostic tools and targeted therapeutic interventions. This article is categorized under: RNA in Disease and Development > RNA in Disease RNA Evolution and Genomics > RNA and Ribonucleoprotein Evolution RNA Evolution and Genomics > Computational Analyses of RNA RNA-Based Catalysis > RNA Catalysis in Splicing and Translation.

Differences in Healthcare Utilization in Children with Developmental Disabilities Following Value-Based Care Coordination Policies

GOAL

To address healthcare spending growth, coordinate care, and improve primary care utilization, a majority of states in the United States have adopted value-based care coordination programs. The objective of this study was to identify changes in national healthcare utilization for children with developmental disabilities (DDs), a high-cost and high-need population, following the broad adoption of value-based care coordination policies.

METHODS

This retrospective study included 9,109 children with DDs and used data from 2002-2018 Medical Expenditure Panel Survey. We applied an interrupted time series design approach to compare pre- and post-Affordable Care Act (ACA) care coordination policies concerning healthcare utilization outcomes, including outpatient visits, home provider days, emergency department (ED) visits, inpatient discharge, and inpatient nights of stay.

PRINCIPAL FINDINGS

We found statistically significant increases in low-cost care post-ACA, including outpatient visits (5% higher, p < .001) and home provider days (11% higher, p < .001). The study findings also showed a statistically significant increase in inpatient nights of stay post-ACA (4% higher, p = .001). There were no changes in the number of ED and inpatient visits. Overall, broad implementation of care coordination programs was associated with increased utilization of low-cost care without increases in the number of high-cost ED and inpatient visits for children with DDs. Our study also found changes in population composition among children with DDs post-ACA, including increases in Hispanic (16.9% post-ACA vs. 13.4% pre-ACA, p = .006) and non-Hispanic multiracial children (9.1% post-ACA vs. 5.5% pre-ACA, p = .001), a decrease in non-Hispanic Whites (60.2% post-ACA vs. 68.6% pre-ACA, p = .001), more public-only insurance (44.3% post-ACA vs. 35.7% pre-ACA, p = .001), fewer children with DDs from middle-income families (27.4% post-ACA vs. 32.8% pre-ACA, p < .001), and more children with DDs from poor families (28.2% post-ACA vs. 25.1% pre-ACA, p = .043).

PRACTICAL APPLICATIONS

These findings highlight the importance of continued support for broad care coordination programs for U.S. children with DDs and potentially others with complex chronic conditions. Policymakers and healthcare leaders might consider improving care transitions from inpatient to community or home settings by overcoming barriers such as payment models and the lack of home care nurses who can manage complex chronic conditions. Healthcare leaders also need to understand and consider the changing population composition when implementing care coordination-related policies. This study provides data regarding trends in hospital and home care utilization and evidence of the effectiveness of care coordination policies before the COVID-19 interruption. These findings apply to current healthcare management because COVID-19 has incentivized home care, which may have a strong potential to minimize high-cost care for people with complex chronic conditions. More research is warranted to continue monitoring care coordination changes over a longer period.

Insisting on help, facing challenges, and maintaining balance: The lived experiences of caregivers raising a child with developmental delay in the remote islands of Kinmen

PURPOSE

To explore the lived experiences of the caregivers of children with developmental delay (DD) on the remote island of Kinmen, Taiwan.

DESIGN AND METHODS

This descriptive phenomenological study included 14 caregivers of 16 children with DD recruited from Kinmen, Taiwan. Data were collected from September 2020 to February 2021 with face-to-face semi-structured interviews, which were transcribed verbatim and analyzed using thematic analysis.

RESULTS

Twelve caregivers were mothers; there was one father and one grandmother. Their mean age was 37.93 ± 5.17 years. The mean age of the children was 3.90 ± 1.49 years; 11 were male (69%). As we began our study, the COVID-19 pandemic occurred, which influenced two of the three themes: (1) focusing on their child's delayed development, which involved seeking a diagnosis and blaming themselves; (2) facing barriers to caring a child with DD on a remote island, which included ostracization of their child and limited off-island medical resources, especially during COVID-19; and (3) maintaining a healthy life balance, which involved protecting their child from physical or spiritual harm, including exposure to COVID-19, and reflecting on their strengths.

CONCLUSIONS

Our findings highlight the challenges of caring for a child with DD in the Kinmen islands of Taiwan, and the impact of the COVID-19 pandemic.

PRACTICAL IMPLICATIONS

Healthcare professionals are encouraged to provide caregivers of children with DD living in remote, island communities an opportunity to share their caregiving experiences and provide strategies for obtaining medical care, which could help reduce caregiver burden.

A 9-year retrospective cohort study of the monitoring and screening of childhood developmental delay in Thailand

BACKGROUND

Developmental delay in early childhood can have negative long-term cognitive and psychiatric sequelae, along with poor academic achievement, so early screening and surveillance are paramount. The aim of this study is to evaluate the impact of screening and surveillance on child developmental delay using the Developmental Surveillance and Promotion Manual (DSPM) and the Thai Early Developmental Assessment for Intervention (TEDA4I) for Thai children aged 0-5 years old.

METHODS

Data were obtained from the routine developmental screening for specific disorders at ages 9, 18, 30, 42 and 60 months conducted using DSPM and TEDA4I from 2013 to 2021. Descriptive statistics were used to analyse the data, and the results are visualised graphically herein.

RESULTS

Only 56% of the children were screened for child developmental delay using DSPM. The proportion of children screened increased from <1% in 2013 to 90% in 2021. Suspected developmental delay prevalence increased significantly from 3.91% in 2013-2015 to 10.00% in 2016-2018 and 26.48% in 2019-2021. Moreover, of the children with suspected developmental delay who received developmental stimulation within a month, only 87.9% returned for follow-up visits when they were evaluated again using TEDA4I to ascertain any abnormalities and specific areas of deficit. The overall proportion of children diagnosed with developmental delay was 1.29%. During the pandemic, the proportion of screening tests for child developmental delay at routine vaccination visits and follow-ups decreased but was still at least 80% in each region.

CONCLUSIONS

Since 1%-3% of children have suspected developmental delay, early detection is key to treating it as soon as possible. We anticipate that our findings will raise awareness in parents and caregivers about childhood developmental delay and lead to the implementation of early intervention and follow-up at the rural level in Thailand.

Challenges in developing therapies in fragile X syndrome: how the FXLEARN trial can guide research

Fragile X syndrome (FXS), the most common inherited cause of intellectual disability and the single-gene cause of autism, is caused by decreased expression of the fragile X messenger ribonucleoprotein protein (FMRP), a ribosomal-associated RNA-binding protein involved in translational repression. Extensive preclinical work in several FXS animal models supported the therapeutic potential of decreasing metabotropic glutamate receptor (mGluR) signaling to correct translation of proteins related to synaptic plasticity; however, multiple clinical trials failed to show conclusive evidence of efficacy. In this issue of the JCI, Berry-Kravis and colleagues conducted the FXLEARN clinical trial to address experimental design concerns from previous trials. Unfortunately, despite treatment of young children with combined pharmacological and learning interventions for a prolonged period, no efficacy of blocking mGluR activity was observed. Future systematic evaluation of potential therapeutic approaches should evaluate consistency between human and animal pathophysiological mechanisms, utilize innovative clinical trial design from FXLEARN, and incorporate translatable biomarkers.

Detection of Constitutional Structural Variants by Optical Genome Mapping: A Multisite Study of Postnatal Samples

Optical genome mapping is a high-resolution technology that can detect all types of structural variations in the genome. This second phase of a multisite study compares the performance of optical genome mapping and current standard-of-care methods for diagnostic testing of individuals with constitutional disorders, including neurodevelopmental impairments and congenital anomalies. Among the 627 analyses in phase 2, 405 were of retrospective samples supplied by five diagnostic centers in the United States and 94 were prospective samples collected over 18 months by two diagnostic centers (June 2021 to October 2022). Additional samples represented a family cohort to determine inheritance (n = 119) and controls (n = 9). Full concordance of results between optical genome mapping and one or more standard-of-care diagnostic tests was 98.6% (618/627), with partial concordance in an additional 1.1% (7/627).

Rising Trends of Childhood Attention-Deficit/Hyperactivity Disorder in a Large Integrated Healthcare Delivery System in Southern California, 2010-2021

OBJECTIVE

To evaluate trends of attention-deficit/hyperactivity disorder (ADHD) diagnosis rates among children aged 5-17 years over the past decade (2010-2021) and to investigate whether there have been differences in temporal changes based on race and ethnicity, sex, or income.

STUDY DESIGN

Childhood ADHD diagnosis was ascertained from electronic health records using International Classification of Diseases ninth revision (314.xx) and International Classification of Diseases tenth revision (F90.x) codes. Data were stratified by child's sex, race and ethnicity, and household income, and rates of ADHD were estimated before and after adjustment for potential confounders.

RESULTS

The overall ADHD diagnosis rates increased from 3.5% in 2010 to 4.0% in 2021. ADHD diagnosis was most prevalent among White children (6.1%), then Black (4.6%), Other/multiple (3.7%), Hispanic (3.1%), and Asian/Pacific Islander (PI) (1.7%). ADHD was also highly prevalent among boys (73.3%) or family income≥$70,000 (50.0%). ADHD diagnosis increased among Black (4.2% to 5.1%), Hispanic (2.8% to 3.6%), and Asian/PI children (1.5% to 2.0%) but remained stable for White (6.2% to 6.1%) and Other/multiple race/ethnic children (3.7% to 3.7%). Increases in the prevalence among girls were also observed.

CONCLUSION

The prevalence of ADHD in children has risen with the largest increases observed for Black, Hispanic, and Asian/PI children. Rates among less affluent families and girls have also been increasing, narrowing the gaps in diagnosis rates previously observed. These increases may reflect improvements in screening and provision of care among demographics where ADHD has been historically underdiagnosed.

Integrating vocational supports into a transition clinic: A pilot program

Objective

Pilot a clinical model and study to learn more about how employment impacts health in children and young adults with intellectual and developmental disabilities.

Background

As young individuals transition into adulthood, milestones such as independent living and gainful employment become paramount. However, for those with intellectual and developmental disabilities (IDD), these milestones can diverge notably from those of typically developing peers. They often confront distinct challenges, especially during shifts from pediatric to adult health care and transitioning from school to employment. Despite the positive influence of employment on quality of life, fragmented support systems create barriers to achieving this outcome. Employment is an important aspect of overall health and wellness, and more research is needed to determine how employment supports can be integrated with health care to improve certain health outcomes.

Design

Self-determination theory and social ecological theory highlight the need for a comprehensive approach that considers both the internal needs and motivations of the individual with IDD and the external factors that influence their transition to adulthood. Based in these theories, our intervention offers an innovative blend of vocational support within a transition services framework at a large academic hospital. Our study introduces vocational support tailored for IDD youths within three health clinics.

Results

Initial results demonstrate the technical and scheduling feasibility of integrating the intervention within existing healthcare services. The study has enrolled several participants, showing potential in technical, scheduling, economic, and operational domains. However, upcoming long-term data and comprehensive evaluation are required for a conclusive understanding of the intervention's impact.

Conclusions

The program integrates vocational support into transitioning individuals with IDD from childhood to adult health care services. This intervention has potential to improve the health outcomes and quality of life for individuals with IDD, which could drive broader interdisciplinary interventions.

Resilience and adolescence-transition in youth with developmental disabilities and their families: a scoping review

Background

Children with neurodevelopmental disabilities (NDDs, e.g., cerebral palsy) and their caregivers face lifelong and impactful challenges, particularly during life-transition periods such as adolescence. One's resilience emerges as an essential ability to navigate this vulnerable phase. Resilience is a complex concept that embeds multiple factors on various levels. Little is known about what resilience factors are pivotal in youth with NDDs and their families as they transition into adolescence and how these are addressed as part of existing targeted interventions.

Objectives

This review explored the concept of resilience in youth with NDDs and their families. Specific aims included describing salient resilience factors in adolescents with NDDs and their families and to describe how resilience is addressed as part of targeted interventions.

Methods

Using the Arskey and O'Malley framework, six steps were undertaken, including a comprehensive literature search (n = 5 databases), transparent study selection, detailed data extraction with a coding scheme (n = 46 factors), results' collating with numerical and inductive content analysis, and consultation with three key stakeholders.

Results

The study screened 1,191 publications, selecting fifty-eight (n = 58; n = 52 observational and n = 6 intervention) studies. Findings revealed that resilience in this context is closely linked to more than forty factors across four levels (individual; family; school/peers; and community). Pivotal factors include social and emotional competence, optimism, and family/peer relationships. While existing interventions targeting resilience show promising results, few programs are available and generalizable to different NDDs. Stakeholders highlighted the importance of addressing resilience factors that are not targeted in existing interventions: caregivers' self-efficacy and self-esteem, as well as youth's and caregiver's confidence. Preferences for and advantages of online delivery for support programs and individual/group features also emerged.

Conclusion

The review emphasizes the need for a holistic approach to support youth with NDDs and their families during adolescence transition. To enhance their resilience, recognizing caregivers' roles, customizing interventions, and exploring new implementation formats are avenues that align with the current evidence and opportunities for practical development in this field.

Deep learning-based, fully automated, pediatric brain segmentation

The purpose of this study was to demonstrate the performance of a fully automated, deep learning-based brain segmentation (DLS) method in healthy controls and in patients with neurodevelopmental disorders, SCN1A mutation, under eleven. The whole, cortical, and subcortical volumes of previously enrolled 21 participants, under 11 years of age, with a SCN1A mutation, and 42 healthy controls, were obtained using a DLS method, and compared to volumes measured by Freesurfer with manual correction. Additionally, the volumes which were calculated with the DLS method between the patients and the control group. The volumes of total brain gray and white matter using DLS method were consistent with that volume which were measured by Freesurfer with manual correction in healthy controls. Among 68 cortical parcellated volume analysis, the volumes of only 7 areas measured by DLS methods were significantly different from that measured by Freesurfer with manual correction, and the differences decreased with increasing age in the subgroup analysis. The subcortical volume measured by the DLS method was relatively smaller than that of the Freesurfer volume analysis. Further, the DLS method could perfectly detect the reduced volume identified by the Freesurfer software and manual correction in patients with SCN1A mutations, compared with healthy controls. In a pediatric population, this new, fully automated DLS method is compatible with the classic, volumetric analysis with Freesurfer software and manual correction, and it can also well detect brain morphological changes in children with a neurodevelopmental disorder.

Reliability of Telepsychiatry Assessments Using the Attention-Deficit/Hyperactivity Disorder Rating Scale-IV for Children With Neurodevelopmental Disorders and Their Caregivers: Randomized Feasibility Study

BACKGROUND

Given the global shortage of child psychiatrists and barriers to specialized care, remote assessment is a promising alternative for diagnosing and managing attention-deficit/hyperactivity disorder (ADHD). However, only a few studies have validated the accuracy and acceptability of these remote methods.

OBJECTIVE

This study aimed to test the agreement between remote and face-to-face assessments.

METHODS

Patients aged between 6 and 17 years with confirmed Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition diagnoses of ADHD or autism spectrum disorder (ASD) were recruited from multiple institutions. In a randomized order, participants underwent 2 evaluations, face-to-face and remotely, with distinct evaluators administering the ADHD Rating Scale-IV (ADHD-RS-IV). Intraclass correlation coefficient (ICC) was used to assess the reliability of face-to-face and remote assessments.

RESULTS

The participants included 74 Japanese children aged between 6 and 16 years who were primarily diagnosed with ADHD (43/74, 58%) or ASD (31/74, 42%). A total of 22 (30%) children were diagnosed with both conditions. The ADHD-RS-IV ICCs between face-to-face and remote assessments showed "substantial" agreement in the total ADHD-RS-IV score (ICC=0.769, 95% CI 0.654-0.849; P<.001) according to the Landis and Koch criteria. The ICC in patients with ADHD showed "almost perfect" agreement (ICC=0.816, 95% CI 0.683-0.897; P<.001), whereas in patients with ASD, it showed "substantial" agreement (ICC=0.674, 95% CI 0.420-0.831; P<.001), indicating the high reliability of both methods across both conditions.

CONCLUSIONS

Our study validated the feasibility and reliability of remote ADHD testing, which has potential benefits such as reduced hospital visits and time-saving effects. Our results highlight the potential of telemedicine in resource-limited areas, clinical trials, and treatment evaluations, necessitating further studies to explore its broader application.

TRIAL REGISTRATION

UMIN Clinical Trials Registry UMIN000039860; http://tinyurl.com/yp34x6kh.

Digitally Diagnosing Multiple Developmental Delays Using Crowdsourcing Fused With Machine Learning: Protocol for a Human-in-the-Loop Machine Learning Study

BACKGROUND

A considerable number of minors in the United States are diagnosed with developmental or psychiatric conditions, potentially influenced by underdiagnosis factors such as cost, distance, and clinician availability. Despite the potential of digital phenotyping tools with machine learning (ML) approaches to expedite diagnoses and enhance diagnostic services for pediatric psychiatric conditions, existing methods face limitations because they use a limited set of social features for prediction tasks and focus on a single binary prediction, resulting in uncertain accuracies.

OBJECTIVE

This study aims to propose the development of a gamified web system for data collection, followed by a fusion of novel crowdsourcing algorithms with ML behavioral feature extraction approaches to simultaneously predict diagnoses of autism spectrum disorder and attention-deficit/hyperactivity disorder in a precise and specific manner.

METHODS

The proposed pipeline will consist of (1) gamified web applications to curate videos of social interactions adaptively based on the needs of the diagnostic system, (2) behavioral feature extraction techniques consisting of automated ML methods and novel crowdsourcing algorithms, and (3) the development of ML models that classify several conditions simultaneously and that adaptively request additional information based on uncertainties about the data.

RESULTS

A preliminary version of the web interface has been implemented, and a prior feature selection method has highlighted a core set of behavioral features that can be targeted through the proposed gamified approach.

CONCLUSIONS

The prospect for high reward stems from the possibility of creating the first artificial intelligence-powered tool that can identify complex social behaviors well enough to distinguish conditions with nuanced differentiators such as autism spectrum disorder and attention-deficit/hyperactivity disorder.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/52205.

Prenatal Exposure to Opioids and Neurodevelopmental Disorders in Children: A Bayesian Mediation Analysis

This study explores natural direct and joint natural indirect effects (JNIE) of prenatal opioid exposure on neurodevelopmental disorders (NDDs) in children mediated through pregnancy complications, major and minor congenital malformations, and adverse neonatal outcomes, using Medicaid claims linked to vital statistics in Rhode Island, United States, 2008-2018. A Bayesian mediation analysis with elastic net shrinkage prior was developed to estimate mean time to NDD diagnosis ratio using posterior mean and 95% credible intervals (CrIs) from Markov chain Monte Carlo algorithms. Simulation studies showed desirable model performance. Of 11,176 eligible pregnancies, 332 had ≥2 dispensations of prescription opioids anytime during pregnancy, including 200 (1.8%) having ≥1 dispensation in the first trimester (T1), 169 (1.5%) in the second (T2), and 153 (1.4%) in the third (T3). A significant JNIE of opioid exposure was observed in each trimester (T1, JNIE = 0.97, 95% CrI: 0.95, 0.99; T2, JNIE = 0.97, 95% CrI: 0.95, 0.99; T3, JNIE = 0.96, 95% CrI: 0.94, 0.99). The proportion of JNIE in each trimester was 17.9% (T1), 22.4% (T2), and 56.3% (T3). In conclusion, adverse pregnancy and birth outcomes jointly mediated the association between prenatal opioid exposure and accelerated time to NDD diagnosis. The proportion of JNIE increased as the timing of opioid exposure approached delivery.

Child Health Needs and the Developmental-Behavioral Pediatrics Workforce Supply: 2020-2040

Developmental-behavioral pediatrics (DBP) subspecialists care for children with complex neurodevelopmental and behavioral health conditions; additional roles include education and training, advocacy, and research. In 2023, there were 1.0 DBP subspecialists per 100 000 US children aged 0 to 17 years (range 0.0-3.8), with wide variability in DBP subspecialist distribution. Given the prevalence of DB conditions, the current workforce is markedly inadequate to meet the needs of patients and families. The American Board of Pediatrics Foundation led a modeling project to forecast the US pediatric subspecialty workforce from 2020 to 2040 using current trends in each subspecialty. The model predicts workforce supply at baseline and across alternative scenarios and reports results in headcount (HC) and HC adjusted for percent time spent in clinical care, termed "clinical workforce equivalent." For DBP, the baseline model predicts HC growth nationally (+45%, from 669 to 958), but these extremely low numbers translate to minimal patient care impact. Adjusting for population growth over time, projected HC increases from 0.8 to 1.0 and clinical workforce equivalent from 0.5 to 0.6 DBP subspecialists per 100 000 children aged 0 to 18 years by 2040. Even in the best-case scenario (+12.5% in fellows by 2030 and +7% in time in clinical care), the overall numbers would be minimally affected. These current and forecasted trends should be used to shape much-needed solutions in education, training, practice, policy, and workforce research to increase the DBP workforce and improve overall child health.

Automated Prediction of Infant Cognitive Development Risk by Video: A Pilot Study

OBJECTIVE

Cognition is an essential human function, and its development in infancy is crucial. Traditionally, pediatricians used clinical observation or medical imaging to assess infants' current cognitive development (CD) status. The object of pediatricians' greater concern is however their future outcomes, because high-risk infants can be identified early in life for intervention. However, this opportunity has not yet been realized. Fortunately, some recent studies have shown that the general movement (GM) performance of infants around 3-4 months after birth might reflect their future CD status, which gives us an opportunity to achieve this goal by cameras and artificial intelligence.

METHODS

First, infants' GM videos were recorded by cameras, from which a series of features reflecting their bilateral movement symmetry (BMS) were extracted. Then, after at least eight months of natural growth, the infants' CD status was evaluated by the Bayley Infant Development Scale, and they were divided into high-risk and low-risk groups. Finally, the BMS features extracted from the early recorded GM videos were fed into the classifiers, using late infant CD risk assessment as the prediction target.

RESULTS

The area under the curve, recall and precision values reached 0.830, 0.832, and 0.823 for two-group classification, respectively.

CONCLUSION

This pilot study demonstrates that it is possible to automatically predict the CD of infants around the age of one year based on their GMs recorded early in life.

SIGNIFICANCE

This study not only helps clinicians better understand infant CD mechanisms, but also provides an economical, portable and non-invasive way to screen infants at high-risk early to facilitate their recovery.

Mapping autism's research landscape: trends in autism screening and its alignment with sustainable development goals

Introduction

Autism Spectrum Disorder is a complex neurodevelopmental syndrome that profoundly affects social interactions, communication, and sensory perception. The research traced the evolution of autism research from 2011-2022, specifically focusing on the screening and diagnosis of children and students.

Methods

Through an analysis of 12,262 publications using the PRISMA framework, bibliographic coupling, science mapping, and citation analysis, this study illuminates the growth trajectory of ASD research and significant disparities in diagnosis and services.

Results

The study indicates an increasing trend in autism research, with a strong representation of female authorship. Open Access journals show a higher average citation impact compared to their closed counterparts. A keyword co-occurrence analysis revealed four central research themes: Child Development and Support Systems, Early Identification and Intervention, Prevalence and Etiology, and Mental Health. The pandemic's onset has prioritized research areas like mental health, telehealth, and service accessibility.

Discussion

Recommendations on a global level stress the importance of developing timely biological markers for ASD, amplifying Disability Inclusion research, and personalizing mental health services to bridge these critical service gaps. These strategies, underpinned by interdisciplinary collaboration and telehealth innovation, particularly in low-resource settings, can offer a roadmap for inclusive, context-sensitive interventions at local levels that directly support SDG3's aim for health and well-being for all.

Knowns and unknowns about the neurobiology of stuttering

Stuttering occurs in early childhood during a dynamic phase of brain and behavioral development. The latest studies examining children at ages close to this critical developmental period have identified early brain alterations that are most likely linked to stuttering, while spontaneous recovery appears related to increased inter-area connectivity. By contrast, therapy-driven improvement in adults is associated with a functional reorganization within and beyond the speech network. The etiology of stuttering, however, remains enigmatic. This Unsolved Mystery highlights critical questions and points to neuroimaging findings that could inspire future research to uncover how genetics, interacting neural hierarchies, social context, and reward circuitry contribute to the many facets of stuttering.

Gestational diabetes mellitus and risk of neurodevelopmental disorders in young offspring: does the risk differ by race and ethnicity?

BACKGROUND

Previous studies examined the associations of gestational diabetes mellitus with autism spectrum disorder and attention deficit hyperactivity disorder. However, the associations between gestational diabetes mellitus and other neurodevelopmental disorders, such as the common speech/language disorder and developmental coordination disorder, are rarely studied, and whether the associations vary by race/ethnicity remains unknown.

OBJECTIVE

This study aimed to examine the associations of gestational diabetes mellitus with individual neurodevelopmental disorders in young offspring, and to investigate whether the associations vary by race/ethnicity.

STUDY DESIGN

This retrospective cohort study (Glucose in Relation to Women and Babies' Health [GrownB]) included 14,480 mother-offspring pairs in a large medical center in the United States from March 1, 2013 to August 31, 2021. We ascertained gestational diabetes mellitus using the validated ICD (International Classification of Diseases) codes (ICD-9: 648.8x; ICD-10: O24.4x), and identified neurodevelopmental disorders (speech/language disorder, developmental coordination disorder, autism spectrum disorder, and other neurodevelopmental disorders [attention deficit hyperactivity disorder, behavioral disorder, intellectual disability, and learning difficulty]) and their combinations using validated algorithms. We compared the hazard of neurodevelopmental disorders during the entire follow-up period between offspring born to mothers with and without gestational diabetes mellitus using multivariable Cox regression models.

RESULTS

Among all mothers, 19.9% were Asian, 21.8% were Hispanic, 41.0% were non-Hispanic White, and 17.3% were of other/unknown race/ethnicity. During the median follow-up of 3.5 years (range, 1.0-6.3 years) after birth, 8.7% of offspring developed at least 1 neurodevelopmental disorder. Gestational diabetes mellitus was associated with a higher risk of speech/language disorder (adjusted hazard ratio, 1.59 [95% confidence interval, 1.07-2.35]), developmental coordination disorder (2.36 [1.37-4.04]), autism spectrum disorder (3.16 [1.36-7.37]), other neurodevelopmental disorders (3.12 [1.51-6.47]), any neurodevelopmental disorder (1.86 [1.36-2.53]), the combination of speech/language disorder and autism spectrum disorder (3.79 [1.35-10.61]), and the combination of speech/language disorder and developmental coordination disorder (4.22 [1.69-10.51]) among offspring born to non-Hispanic White mothers. No associations between gestational diabetes mellitus and any neurodevelopmental disorders or their combinations were observed among offspring born to mothers of other racial/ethnic groups.

CONCLUSION

We observed an elevated risk of neurodevelopmental disorders among young offspring born to non-Hispanic White mothers with gestational diabetes mellitus, but not among other racial/ethnic groups.

Microbiome function and neurodevelopment in Black infants: vitamin B12 emerges as a key factor

The early life gut microbiome affects the developing brain, and therefore may serve as a target to support neurodevelopment of children living in stressful and under-resourced environments, such as Black youth living on the South Side of Chicago, for whom we observe racial disparities in health. Microbiome compositions/functions key to multiple neurodevelopmental facets have not been studied in Black children, a vulnerable population due to racial disparities in health; thus, a subsample of Black infants living in urban, low-income neighborhoods whose mothers participated in a prenatal nutrition study were recruited for testing associations between composition and function of the gut microbiome (16S rRNA gene sequencing, shotgun metagenomics, and targeted metabolomics of fecal samples) and neurodevelopment (developmental testing, maternal report of temperament, and observed stress regulation). Two microbiome community types, defined by high Lachnospiraceae or Enterobacteriaceae abundance, were discovered in this cohort from 16S rRNA gene sequencing analysis; the Enterobacteriaceae-dominant community type was significantly negatively associated with cognition and language scores, specifically in male children. Vitamin B12 biosynthesis emerged as a key microbiome function from shotgun metagenomics sequencing analysis, showing positive associations with all measured developmental skills (i.e., cognition, language, motor, surgency, effortful control, and observed stress regulation). Blautia spp. also were identified as substantial contributors of important microbiome functions, including vitamin B12 biosynthesis and related vitamin B12-dependent microbiome functions, anti-inflammatory microbial surface antigens, competitive mechanisms against pathobionts, and production of antioxidants. The results are promising with respect to the potential for exploring therapeutic candidates, such as vitamin B12 nutritional or Blautia spp. probiotic supplementation, to support the neurodevelopment of infants at risk for experiencing racial disparities in health.

School-Based Therapists' Perspectives of Wheelchair Use in US Schools: A Survey Study

PURPOSE

To gather information concerning the current state of students' wheelchair (WC) use in US schools from the perspective of school-based therapists.

METHODS

This descriptive study used a Web-based survey to gather information regarding factors that facilitated or hindered student WC use at school, the frequency at which various tasks related to WC provision were performed, and factors that would facilitate students' independence with WC use.

RESULTS

A dependent manual WC was the most common type of WC mobility used at school. Various student and nonstudent factors were reported as a facilitator or a barrier to students' WC use at school.

CONCLUSIONS

Although most respondents reported working with a student who used a WC, few reported active engagement in tasks related to WC service provision. Future research exploring potential attitudinal issues influencing students' WC use at school and ways to optimally support students' independent WC use is indicated.

Caregiver education programme on intellectual and developmental disabilities: An acceptability and feasibility study in an academic medical setting

BACKGROUND

Children and adolescents with intellectual and developmental disabilities (I/DD), including autism spectrum disorder, benefit from a variety of specialized interventions. However, there are barriers that impact families' ability to access such services for their children. While not intended as a replacement for individualized or group-based interventions, educational classes may be an option in providing supplemental resources and support to families of individuals with I/DD. This study was a programme evaluation that examined the feasibility and acceptability of a Caregiver Education Program that was created in an outpatient specialty clinic of an academic medical centre, designed to provide educational information on a variety of topics relevant to children and adolescents with I/DD (e.g., toilet training, understanding behaviour and managing anxiety).

METHOD

The review included 1027 participants from 40 classes led by licensed clinicians, trainees, and/or experienced caregivers. Classes occurred approximately one time per month over the course of three-and-a-half years and targeted caregivers of children and adolescents with I/DD and community-based professionals in the field of I/DD. Participants were able to attend one or multiple classes, based on their interest in the given topic. Participants were asked to complete post-training surveys at the end of each session as part of ongoing programme evaluation.

RESULTS

Participants reported a high level of satisfaction and increased knowledge as a result of participating in classes, and higher knowledge gained and higher satisfaction for in-person classes compared to virtual classes.

CONCLUSIONS

This programme is one model of education delivery with high acceptability and feasibility, designed to support families and increase access to information beyond specialized interventions. Future directions include improving the model of programme data collection, examination of the programme's generalization to practice and to other communities, and an emphasis on culturally responsive curricula.

Screening for Academic Risk Among Students With Cleft Lip and/or Palate: Patterns of Risk and Qualities of Effective Tools

This study evaluated the effectiveness of academic screening measures in relation to parent-reported diagnoses.

Multicenter, retrospective cohort study including structured interviews, questionnaires, and chart reviews.

Six North American cleft centers.

Children (n = 391) with cleft lip and/or palate, ages 8 to 10 years of age (192 male) and their guardians were recruited during regular clinic visits.

Parent and child ratings on the Pediatric Quality of Life Inventory (PedsQL) School Scale, child report on CleftQ School Scale, parent report on the Adaptive Behavior Assessment System-Third Edition Functional Academics (ABAS-FA) Scale and Child Behavior Checklist (CBCL) School Competency Scale, parent interview, and medical chart review.

Risk for concerns ranged from 12% to 41%, with higher risk reflected on the CBCL-SC compared to other measures. Males with cleft palate were consistently at the highest risk. Only 9% of the sample had a parent-reported diagnosis of a learning or language disability. Ratings from the ABAS-FA and CBCL-SC had the highest utility in identifying those with language and/or learning concerns.

As cleft teams work to develop standardized batteries for screening and monitoring of patients, it is important to evaluate the effectiveness of measures in identifying those at highest risk. When screening for language and learning disorders, questions related to potential academic struggles, such as increased school effort or increased school distress, are most useful. Referrals for follow-up evaluation are recommended for those identified at high risk.

'From my world to yours…': exploring the availability of social networks among parents from culturally diverse backgrounds caring for children with developmental disabilities in Australia

This paper reports findings from an ethnographic study of families from culturally and linguistically diverse (CALD) families in Australia caring for children with disability. The study aimed to contribute insights into the unique experiences, challenges and supports that characterise experiences of families of a child with disability living in a country where the mainstream culture is different from their own. Four families from different cultural backgrounds participated in the study over a period of nine months. During this time, they participated in a series of semi-structured interviews during which they shared their encounters with formal early intervention services and reflected on important informal supports. Findings presented here indicate three key areas associated with accessing informal supports that can pose challenges for families who hold values that are different from those of the dominant culture: lack of social support; cultural adaptations, and socialization problems and coping strategies. The findings indicate that formal services could ameliorate feelings of social isolation by enabling parents to access informal supports such as parenting groups.

"It starts with a knock on the door": Caregiver and provider perspectives on healthcare communication for youth with intellectual and developmental disabilities

OBJECTIVES

Effective healthcare communication (HCC) is critical for youth with intellectual and developmental disabilities (IDD) who may have complex healthcare needs. The goal of this study was to gain family caregiver and provider perspectives on facilitators and challenges to effective HCC for youth with IDD.

METHODS

Caregivers of, and providers for youth with IDD were recruited from the community to participate in virtual focus group (FG) sessions. FGs were 60-90 min long and were facilitated by a research team consisting of caregivers and providers. The FGs were recorded, transcribed, and coded inductively for HCC themes.

RESULTS

Nineteen stakeholders participated in the FGs (caregivers: n = 14; providers: n = 5). Twenty-three themes were coded from the transcripts and were categorized by whether they focused on providers, caregivers, or healthcare systems.

CONCLUSIONS

Provider behaviors such as active listening and demonstrating humility were found to be critical for effective HCC. Fewer caregiver factors, such as advocacy, and systems factors such as visit format, emerged from the FG data. FG themes represent challenges that future interventions must address.

PRACTICE IMPLICATIONS

Efforts to improve HCC, and thus healthcare outcomes for youth with IDD, should address challenges identified by caregivers and providers.

The contributions of neonatal inhalation of copper to air pollution-induced neurodevelopmental outcomes in mice

Exposures to ambient ultrafine particle (UFP) air pollution (AP) during the early postnatal period in mice (equivalent to human third trimester brain development) produce male-biased changes in brain structure, including ventriculomegaly, reduced brain myelination, alterations in neurotransmitters and glial activation, as well as impulsive-like behavioral characteristics, all of which are also features characteristic of male-biased neurodevelopmental disorders (NDDs). The purpose of this study was to ascertain the extent to which inhaled Cu, a common contaminant of AP that is also dysregulated across multiple NDDs, might contribute to these phenotypes. For this purpose, C57BL/6J mice were exposed from postnatal days 4-7 and 10-13 for 4 hr/day to inhaled copper oxide (CuxOy) nanoparticles at an environmentally relevant concentration averaging 171.9 ng/m3. Changes in brain metal homeostasis and neurotransmitter levels were determined following termination of exposure (postnatal day 14), while behavioral changes were assessed in adulthood. CuxOy inhalation modified cortical metal homeostasis and produced male-biased disruption of striatal neurotransmitters, with marked increases in dopaminergic function, as well as excitatory/inhibitory imbalance and reductions in serotonergic function. Impulsive-like behaviors in a fixed ratio (FR) waiting-for-reward schedule and a fixed interval (FI) schedule of food reward occurred in both sexes, but more prominently in males, effects which could not be attributed to altered locomotor activity or short-term memory. Inhaled Cu as from AP exposures, at environmentally relevant levels experienced during development, may contribute to impaired brain function, as shown by its ability to disrupt brain metal homeostasis and striatal neurotransmission. In addition, its ability to evoke impulsive-like behavior, particularly in male offspring, may be related to striatal dopaminergic dysfunction that is known to mediate such behaviors. As such, regulation of air Cu levels may be protective of public health.

Risk factors and clinical profile of autism spectrum disorder in southern Brazil

In Brazil, as in other countries, it is expected a significant variation of epidemiological and clinical characteristics among individuals with autism spectrum disorder (ASD). This study was performed to explore maternal risk factors and clinical characteristics of children with ASD in a population located in southern Brazil. Data were collected from medical records and analyzed to explore biomarkers associated with ASD. Out of 321 children with ASD, 86.5% were males with a male-to-female ratio of 5.7:1, 50.7% were mild/moderate while 49.3% presented severe ASD. Between the risk factors investigated, gestational infection was significantly associated with severe ASD patients. There was also an association between epilepsy and severe autism. Several gastrointestinal (GI) symptoms were significantly associated with severe ASD. Obesity, followed by lower levels of cholesterol, were also significant factors associated with an ASD diagnosis when compared to age-matched controls. Finally, severe ASD was associated with significantly higher serum serotonin levels when compared to age-matched controls and mild/moderate ASD cases. Our findings demonstrate that our population shares many features associated with ASD around the world, such as GI symptoms, epilepsy, and high serotonin levels. It is worth highlighting the low cholesterol levels associated with obesity as an unusual feature that deserves more attention.

Paternal and maternal preconception and maternal pregnancy urinary phthalate metabolite and BPA concentrations in relation to child behavior

BACKGROUND

Epidemiologic studies on health effects of parental preconception exposures are limited despite emerging evidence from toxicological studies suggesting that such exposures, including to environmental chemicals, may affect offspring health.

OBJECTIVE

We investigated whether maternal and paternal preconception and maternal pregnancy urinary phthalate metabolite and bisphenol A (BPA) concentrations were associated with child behavior.

METHODS

We analyzed data from the Preconception Environmental exposure And Childhood health Effects (PEACE) Study, an ongoing prospective cohort study of children aged 6-11 years whose parent(s) previously enrolled in the prospective preconception Environment and Reproductive Health (EARTH) study. Using linear mixed models, we estimated covariate-adjusted associations of 11 urinary phthalate metabolite and BPA concentrations collected prior to conception and during pregnancy with Behavioral Assessment System for Children-3 (BASC-3) T-scores (higher scores indicate more problem behaviors).

RESULTS

This analysis included 134 mothers, 87 fathers and 157 children (24 sets of twins); parents were predominantly non-Hispanic white (mothers and fathers86%). Higher maternal preconception or pregnancy monobenzyl phthalate (MBzP) concentrations were related to higher mean externalizing problems T-scores in their children (β = 1.3 per 1-loge unit increase; 95 % CI: -0.2, 2.4 and β = 2.1, 95 % CI: 0.7, 3.6, respectively). Higher maternal preconception monocarboxyoctyl phthalate (MCOP) was suggested to be related to lower mean externalizing problems T-scores (β = -0.9; 95 % CI: -1.8, 0.0). Higher paternal preconception MCOP was suggestively associated with lower internalizing problems (β = -0.9; 95 %CI:-1.9, 0.1) and lower Behavioral Symptoms Index (BSI) T-scores (β = -1.3; 95 % CI: -2.1, -0.4).

CONCLUSION

In this cohort, higher maternal preconception and pregnancy MBzP were associated with worse parent-reported child behavior, while higher maternal and paternal preconception MCOP concentrations were related to lower BASC-3 scores.

Predictive value of General Movements Assessment for developmental delay at 18 months in children with complex congenital heart disease

BACKGROUND

Infants with complex congenital heart disease are at increased risk of impaired fetal brain growth, brain injury, and developmental impairments. The General Movement Assessment (GMA) is a valid and reliable tool to predict cerebral palsy (CP), especially in preterm infants. Predictive properties of the GMA in infants with complex congenital heart disease (CCHD) are unknown.

AIM

To evaluate predictive properties of the GMA to predict developmental outcomes, including cerebral palsy (CP), at 18-months corrected age (CA) in children with CCHD undergoing heart surgery in the first month of life.

METHODS

A prospective cohort of 56 infants with CCHD (35 males, 21 females) was assessed with GMA at writhing age (0-6 weeks CA) and fidgety age (7-17 weeks CA) and the Bayley Scales of Infant Development at 18 months. GMA focused on markedly reduced GM-variation and complexity (definitely abnormal (DA) GM-complexity) and fidgety movements. Predictive values of GMA for specific cognitive, language and motor delay (composite scores <85th percentile) and general developmental delay (delay in all domains) were calculated at 18 months.

RESULTS

At fidgety age, all infants had fidgety movements and no child was diagnosed with CP. DA GM-complexity at fidgety age predicted general developmental delay at 18 months (71 % sensitivity, 90 % specificity), but predicted specific developmental delay less robustly. DA GM-complexity at writhing age did not predict developmental delay, nor did it improve prediction based on DA GM-complexity at fidgety age.

CONCLUSIONS

In infants with CCHD and fidgety movements, DA GM-complexity at fidgety age predicted general developmental delay.

Divergent neurodevelopmental profiles of very-low-birth-weight infants

BACKGROUND

Advanced perinatal medicine has decreased the mortality rate of preterm infants. Long-term neurodevelopmental outcomes of very-low-birth-weight infants (VLBWIs) remain to be investigated.

METHODS

Participants were 124 VLBWIs who had in-hospital birth from 2007 to 2015. Perinatal information, developmental or intelligence quotient (DQ/IQ), and neurological comorbidities at ages 3 and 6 years were analyzed.

RESULTS

Fifty-eight (47%) VLBWIs received neurodevelopmental assessments at ages 3 and 6 years. Among them, 15 (26%) showed DQ/IQ <75 at age 6 years. From age 3 to 6 years, 21 (36%) patients showed a decrease (≤-10), while 5 (9%) showed an increase (≥+10) in DQ/IQ scores. Eight (17%) with autism spectrum disorder or attention-deficit hyperactivity disorder (ASD/ADHD) showed split courses of DQ/IQ, including two with ≤-10 and one with +31 to their scores. On the other hand, all 7 VLBWIs with cerebral palsy showed DQ ≤35 at these ages. Magnetic resonance imaging detected severe brain lesions in 7 (47%) of those with DQ <75 and 1 (18%) with ASD/ADHD.

CONCLUSIONS

VLBWIs show a broad spectrum of neurodevelopmental outcomes after 6 years. These divergent profiles also indicate that different risks contribute to the development of ASD/ADHD from those of cerebral palsy and epilepsy in VLBWIs.

IMPACT

Very-low-birth-weight infants (VLBWIs) show divergent neurodevelopmental outcomes from age 3 to 6 years. A deep longitudinal study depicts the dynamic change in neurodevelopmental profiles of VLBWIs from age 3 to 6 years. Perinatal brain injury is associated with developmental delay, cerebral palsy and epilepsy, but not with ASD or ADHD at age 6 years.

Increased rates of unattained developmental milestones among Israeli children between 2016 and 2020: a national report

BACKGROUND

The early years of children's lives are critical for their healthy development. Although children's growth and development rates may vary, a significant delay during early childhood could indicate a medical or a developmental disorder. Developmental surveillance is used worldwide by healthcare providers in routine encounters, as well as by educators and parents, to elicit concerns about child development. In this work, we used a national dataset of developmental assessments to describe temporal trends of milestone attainment rates and associations between milestone attainment and various sociodemographic factors.

METHODS

The study included 1,002,700 children ages birth until 6 years with 4,441,689 developmental visits between the years 2016 and 2020. We used the Israeli developmental scale to assess the annual rates of failure to attain language, social and motoric milestones by the entire population, as well as by subgroups stratified by sociodemographic factors. In addition, we evaluated the rates of parental concern for child development and of the nurse's report of development inadequate for age. We used multivariable logistic regression to analyze the impact of different sociodemographic factors on the odds of failure to attain milestones, while controlling for confounding.

RESULTS

Milestone failure rates progressively increased over the examined years in all developmental domains, and most prominently in the language domain. Conversely, the rates of parental concern for developmental delay remained constant. In multivariable analysis, higher risk of milestone attainment failure was observed in children whose mothers were divorced, unemployed, immigrant, had lower education, of Bedouin origin or were over 40 years old when giving birth.

CONCLUSIONS

This report describes national trends of child development in the gross motor, fine motor, language, and social domains. A periodic report of these trends should be published to objectively evaluate subgroups in need for intervention, and to assess the effectiveness of intervention programs in attempt to maximize the developmental potential of children in Israel.

Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal

BACKGROUND

Autism Spectrum Disorder (ASD) diagnosis can be aided by approaches based on eye-tracking signals. Recently, the feasibility of building Visual Attention Models (VAMs) from features extracted from visual stimuli and their use for classifying cases and controls has been demonstrated using Neural Networks and Support Vector Machines. The present work has three aims: 1) to evaluate whether the trained classifier from the previous study was generalist enough to classify new samples with a new stimulus; 2) to replicate the previously approach to train a new classifier with a new dataset; 3) to evaluate the performance of classifiers obtained by a new classification algorithm (Random Forest) using the previous and the current datasets.

METHODS

The previously approach was replicated with a new stimulus and new sample, 44 from the Typical Development group and 33 from the ASD group. After the replication, Random Forest classifier was tested to substitute Neural Networks algorithm.

RESULTS

The test with the trained classifier reached an AUC of 0.56, suggesting that the trained classifier requires retraining of the VAMs when changing the stimulus. The replication results reached an AUC of 0.71, indicating the potential of generalization of the approach for aiding ASD diagnosis, as long as the stimulus is similar to the originally proposed. The results achieved with Random Forest were superior to those achieved with the original approach, with an average AUC of 0.95 for the previous dataset and 0.74 for the new dataset.

CONCLUSION

In summary, the results of the replication experiment were satisfactory, which suggests the robustness of the approach and the VAM-based approaches feasibility to aid in ASD diagnosis. The proposed method change improved the classification performance. Some limitations are discussed and additional studies are encouraged to test other conditions and scenarios.

Prevalence of neurodevelopmental differences and autism in Scottish primary schools 2018-2022

This study investigated the prevalence of neurodevelopmental needs among children in primary schools in Scotland. Two groups were identified: autistic learners and a larger group of learners who had neurodevelopmental differences. These differences encompassed any need for additional support in various domains, including communication, interaction, emotional regulation, coordination, movement, and cognition. A two-phase process was employed, drawing on data from a cross-sectional study followed by a secondary analysis of a population census. In the first phase, a random sample of 688 children with additional support needs from 22 schools participated. Demographics, support characteristics, and neurodevelopmental needs were identified. Results revealed that 76.89% of children with additional support needs exhibited a need type consistent with a neurodevelopmental difference. In the second phase, data from the Scottish Government Annual Pupil Census, covering all state-provided primary school children between 2018 and 2022, were analyzed. Modeling was conducted using data from the first phase to estimate prevalence of neurodevelopmental differences. Data on autism were directly extracted from the census. Analysis revealed an increase in the prevalence of neurodevelopmental differences and autism. The prevalence of autism rose by 31.98%, with 2.60% of primary school children identified as autistic in 2022. Similarly, the prevalence of neurodevelopmental differences increased by 10.57%, with 16.22% of primary school children exhibiting such differences in 2022. Across 32 localities, regional variations in prevalence were observed. These findings show the substantial number of neurodivergent children within Scottish primary schools and emphasize the need for a neurodevelopmentally informed approach to inclusive education.

Development and Psychometric Evaluation of the Open-Source Challenging Behavior Scale (OS-CBS)

At present, there are no brief, freely-available, informant-report measures that evaluate key challenging behaviors relevant to youth with autism spectrum disorder (ASD) or other developmental disabilities (DD). This paper describes the development, refinement, and initial psychometric evaluation of a new 18-item measure, the Open-Source Challenging Behavior Scale (OS-CBS). In a large sample (n = 2004, 169 with ASD, ages 2-17), results of psychometric analyses indicated a clear factor structure (property destruction, aggression, elopement, conduct problems, and self-injury and a general factor with high loadings from all items) based on exploratory structural equation modeling, good scale reliability (α = .66-.83 for subscales, α = .91 total scale), measurement invariance across demographics, and good construct validity. The OS-CBS is a psychometrically-sound instrument for screening and monitoring intervention progress.

Temporal trends and regional variation of heart transplantation in children with intellectual and developmental disabilities

BACKGROUND

Historically, intellectual and developmental disability (IDD) has been considered an important factor in choosing potential recipients of organ transplants among many transplant centers. This study evaluated the temporal changes at the national and regional levels in the proportion of heart transplantation in children with IDD.

METHODS

Children younger than 19 years in the United Network for Organ Sharing (UNOS) database who received heart transplants from 2010 to 2021 were included in this study. The patients were grouped into only definitive intellectual disability, both definitive intellectual and motor disability, only definitive motor disability, and no developmental disability. Multinomial logistic regressions were used to examine the proportion of heart transplants in each category for the whole cohort and each geographic transplant region.

RESULTS

There were 4273 pediatric heart transplant recipients included in the study. From 2010 to 2021, the percentages of pediatric heart transplants increased from 3.8% (95% CI, 0.01-0.05) to 5.8% (95% CI, 0.03-0.08) in children with only definitive intellectual disability (OR 0.07; 95% CI, 0.02-0.1, ptrend  < .002), from 3.4% (95% CI, 0.01-0.05) to 6.6% (95% CI, 0.04-0.09) in children with both definitive intellectual disability and motor disability (OR 0.09; 95% CI, 0.05-0.13, ptrend  < .001), and from 5.2% (95% CI, 0.02-0.07) to 8.3% (95% CI, 0.05-0.1) in children with only definitive motor disability (OR 0.06; 95% CI, 0.02-0.09, ptrend  < .002). There were several regional differences in the proportion of children with intellectual and developmental disabilities who received heart transplants.

CONCLUSION

There is increasing inclusion of children diagnosed with intellectual and developmental disabilities in heart transplantation. A review of the current allocation policies may address the marked geographic variations found in this study.

Trends in the prevalence of intellectual disability among children in Taiwan

BACKGROUND

Intellectual disability (ID) is a major developmental disability. However, data on changes in the prevalence over time at the national level are limited.

METHOD

Using data from the national disability registry, we conducted an ecological study to evaluate the time trends of ID among children in Taiwan. We calculated the prevalence of ID by age, sex and severity, from 2000 to 2011, and assessed the time trends.

RESULTS

During the study period, the overall prevalence of ID in children aged 3-17 years increased from 3.60 to 5.91 per 1000 (β = 0.22, P < 0.001, r2  = 0.97). The prevalence of mild ID (MID, intelligence quotient: 50-69) increased from 1.30 to 3.60 per 1000 (β = 0.21, P < 0.001, r2  = 0.98). However, the prevalence of severe ID (SID, intelligence quotient: <50) was relatively constant, between 2.22 and 2.38 per 1000 (β = 0.01, P = 0.076, r2  = 0.96). Boys had a higher prevalence than girls, and the average boy-to-girl prevalence ratio was 1.42 for MID and 1.31 for SID. The boy-to-girl prevalence ratios of MID and SID decreased over time (β = -0.01, P < 0.001, r2  = 0.99 for MID; β = -0.01, P < 0.001, r2  = 1.00 for SID).

CONCLUSION

The prevalence of ID in Taiwanese children increased from 2000 to 2011 and was largely attributable to increases in MID. Boys had a higher prevalence of ID and were more likely to have MID.

Infusing intellectual and Developmental disability training into Medical School curriculum: a Pilot intervention

PURPOSE

Despite the rising prevalence of developmental disabilities (DD) in the US, there remains insufficient training for healthcare professionals to care for this medically underserved population - particularly adults. The National Inclusive Curriculum for Health Education (NICHE) aims to improve attitudes and knowledge towards people with intellectual and developmental disabilities (PWIDD); herein we describe one such intervention.

METHOD

The intervention integrated didactic, panel presentation and clinical skills components into a 2nd year medical school curriculum.  The didactic session, covering  health and assessment of PWIDDs, history of IDD, stigma, etc., was co-taught by a developmental pediatrician, family medicine physician and social worker.  A panel of 3 adult self-advocates (SAs) with DD and a parent of a child with DD spoke about their lived experiences.  One week later, students practiced taking clinical histories of SAs within small group settings with adult PWIDDs, facilitated by medical school faculty. Students completed the NICHE Knowledge(49 items) and Attitudes (60 items) surveys. The evaluation analyzed pre/post intervention differences in a) knowledge and attitude scores overall and b) by student age, gender, intended medical specialty, and prior experiences with PWIDDs. Open-ended comments were analyzed with content analysis.

RESULTS

Overall Knowledge scores increased from pre-to posttest (n = 85; 65[19] vs. 73[17], p = 0.00), while Attitudes score improved (i.e., decreased) (n = 88; 0.55 [.06] vs. 0.53 [0.06]); p = 0.00).  Higher pretest knowledge was found among female identified students (vs. others; p = 0.01) and those knowing > = 5 PWIDD (vs < 5; p = 0.02).  Students characterize their IDD training and experience prior to intervention as 'lacking' and described the sessions as effective.

CONCLUSIONS

A brief (4 hours total) intervention was associated with modest but significant improved knowledge and attitudes towards PWIDDs. Replication and sustainability of this and other NICHE interventions are needed to fill gaps in PWIDDs' health care.