Predictors of Autism Spectrum Disorder and ADHD: Results from the National Survey of Children's Health.

BACKGROUND: Autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are two of the most common neurodevelopmental disorders with comorbidity rates of up to 70%. Population-based studies show differential rates of ADHD and ASD diagnosis based on sociodemographic variables. However, no studies to date have examined the role of sociodemographic factors on the likelihood of receiving an ADHD, ASD, or comorbid ASD + ADHD diagnosis in a large, nationally representative sample. OBJECTIVE: This study aims to examine the impact of sociodemographic factors on the odds of experiencing ASD-only, ADHD-only, or both diagnoses for children in the United States. METHODS: Using a mixed effects multinomial logistic modeling approach and data from the 2016-2018 National Survey of Children's Health, we estimated the association between sociodemographic variables and the log odds of being in each diagnostic group. RESULTS: Sociodemographic variables were differentially related to the three diagnostic groups: ASD-only, ADHD-only, and ASD + ADHD. Compared to girls, boys experienced higher odds of all three diagnosis categories. White children had higher odds of having an ADHD-only or ASD + ADHD diagnosis compared to non-Hispanic (NH) Black, NH multiple/other race, and Hispanic children. Odds ratios for levels of parent education, household income, and birth characteristics showed varying trends across diagnostic groups. CONCLUSIONS: Overall, our findings point to unique sets of risk factors differentially associated ASD and ADHD, with lower income standing out as an important factor associated with receiving a diagnosis of ASD + ADHD.

Early Sleep Differences in Young Infants with Autism Spectrum Disorder.

OBJECTIVE: Children with autism spectrum disorder (ASD) experience greater sleep challenges than their neurotypical peers, but sleep patterns for infants later diagnosed with ASD are unknown. This study examined differences in total sleep duration and proportion of sleep experienced at night within the first 6 months of life among infants later diagnosed with ASD, infants who demonstrated subclinical characteristics of ASD and were classified as exhibiting the broad autism phenotype (BAP), and their typically developing (TD) peers. In addition, associations between infant sleep variables and developmental outcomes at 24 months were explored. METHODS: Participants included 79 infants enrolled in a prospective, longitudinal study of the early development of ASD. Between ages 1 week and 6 months, participants completed a monthly retrospective 24-hour sleep log. At 24 months, participants received a comprehensive diagnostic evaluation, including the Autism Diagnostic Observation Schedule-2 and Mullen Scales of Early Learning and Vineland-II and were clinically characterized as ASD, BAP, or TD. RESULTS: When accounting for the influence of age, infants later diagnosed with ASD slept less within the 24-hour period than infants in TD or BAP groups from 0 to 6 months ( p = 0.04). Percentage of sleep experienced during nighttime hours did not significantly differ between groups from 0 to 6 months ( p = 0.25). Greater nighttime sleep percentage at 6 months predicted higher receptive language ( p < 0.001) and fine motor scores ( p < 0.0001) at 24 months. Total sleep duration at 6 months did not predict any developmental outcomes at 24 months. CONCLUSION: Findings suggest that differences in sleep may occur among autistic individuals earlier in life than previously documented and have cascading effects on development.

County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States.

Prevalence estimates of autism spectrum disorder (ASD) point to geographic and socioeconomic disparities in identification and diagnosis. Estimating national prevalence rates can limit understanding of local disparities, especially in rural areas where disproportionately higher rates of poverty and decreased healthcare access exist. Using a small area estimation approach from the 2016-2018 National Survey of Children's Health (N = 70,913), we identified geographic differences in ASD prevalence, ranging from 4.38% in the Mid-Atlantic to 2.71% in the West South-Central region. Cluster analyses revealed "hot spots" in parts of the Southeast, East coast, and Northeast. This geographic clustering of prevalence estimates suggests that local or state-level differences in policies, service accessibility, and sociodemographics may play an important role in identification and diagnosis of ASD.County-Level Prevalence Estimates of Autism Spectrum Disorder in Children in the United States.

Viscosity Factor (VF) Complementary to the Statistical Indicators Associated with the Rheological Behavior of Aqueous Solutions of Polyvinyl Alcohol.

The rheological behavior of aqueous solutions of polyvinyl alcohol at 4, 6, 8 and 10% by weight has been studied and evaluated at temperatures of 20, 25, 30 and 35 °C, using five non-Newtonian fluid models independent of time: Ferrys, Robertson-Stiff, Williamson, Sisko, and Ellis de Haven. The classical method consists in carrying out regression analysis. Using a comparative procedure of determination coefficients and variances, the model that most appropriately adjusts the experimental data to said model is selected. From the statistical point of view, the Sisko and Robertson-Stiff models present better regression parameters; to better specify the choice of the respective rheological model, a new factor has been proposed in the literature, the viscosity factor (VF), which expresses the relationship between apparent and dynamic viscosity. The analysis of this factor for the five models confirms the greater stability of the Ellis de Haven model in terms of the coefficient of variation of the VF. The value of VF fluctuates between 1 and 2 for all ranges of temperature and concentration experienced for vinyl alcohol solutions. As a consequence of the above, for the choice of the non-Newtonian fluid model associated with the rheology of the aqueous solution of polyvinyl alcohol, it is necessary to analyze the statistical parameters and the VF factor simultaneously.

County-level prevalence estimates of ADHD in children in the United States.

PURPOSE: Attention-deficit/hyperactivity disorder (ADHD) is a common childhood disorder often characterized by long-term impairments in family, academic, and social settings. Measuring the prevalence of ADHD is important as treatment options increase around the U.S. Prevalence data helps inform decisions by care providers, policymakers, and public health officials about allocating resources for ADHD. In addition, measuring geographic variation in prevalence estimates can facilitate hypothesis generation for future analytic work. Most U.S. studies of ADHD prevalence among children focus on national or demographic group rates. METHODS: Using a small area estimation approach and data from the 2016 to 2018 National Survey of Children's Health, we estimated childhood ADHD prevalence estimates at the census regional division, state, and county levels. The sample included approximately 70,000 children aged 5-17 years. RESULTS: The national ADHD rate was estimated to be 12.9% (95% Confidence Interval: 11.5%, 14.4%). Counties in the West South Central, East South Central, New England, and South Atlantic divisions had higher estimated rates of childhood ADHD (55.1%, 53.6%, 49.3%, and 46.2% of the counties had rates of 16% or greater, respectively) compared to counties in the Mountain, Mid Atlantic, West North Central, Pacific, and East North Central divisions (2.1%, 4%, 5.8%, 6.9%, and 11.7% of the counties had rates of 16% or greater, respectively). CONCLUSIONS: These local-level rates are useful for decision-makers to target programs and direct sufficient ADHD resources based on communities' needs.

The Pull-to-Sit Task: Examining Infant Postural Development in Autism Spectrum Disorder.

OBJECTIVE: To evaluate the predictive relationship between early trajectories of postural and head control during a pull-to-sit task and later autism diagnostic and developmental outcomes. STUDY DESIGN: Using a prospective longitudinal design, postural skills of 100 infants at elevated and low familial likelihood of autism spectrum disorder (ASD) were evaluated using a pull-to-sit task monthly from age 1 month to 6 months. At age 24 months, infants were seen for a developmental and diagnostic evaluation completed by examiners masked to participant group. Latent growth curve models were used to compare early trajectories of pull-to-sit performance in infants later diagnosed with ASD and typically developing infants and to predict developmental outcomes. RESULTS: Pull-to-sit trajectories did not differ in infants with an elevated likelihood of ASD or infants with ASD compared with low-likelihood and typically developing infants, but infants with ASD were more likely to exhibit a head lag by age 4 months. In addition, pull-to-sit trajectories were predictive of social and speech skills 2 years later. CONCLUSIONS: These findings highlight the link between very early pull-to-sit skills and later social and language outcomes. Atypical postural development and persistent presence of head lag may be important early indicators of social and language vulnerabilities, including ASD.

Early social communication development in infants with autism spectrum disorder.

Social-communication differences are a robust and defining feature of autism spectrum disorder (ASD) but identifying early points of divergence in infancy has been a challenge. The current study examines social communication in 9- to 12-month-old infants who develop ASD (N = 30; 23% female; 70% white) compared to typically developing (TD) infants (N = 94, 38% female; 88% white). Results demonstrate that infants later diagnosed with ASD were already exhibiting fewer social-communication skills using eye gaze, facial expression, gestures, and sounds at 9 months (effect size: 0.42-0.89). Moreover, three unique patterns of change across distinct social-communication skills were observed within the ASD group. This study documents that observable social-communication differences for infants with ASD are unfolding by 9 months, pointing to a critical window for targeted intervention.

Agreement Between Parental Report and Clinician Observation of Infant Developmental Skills.

Understanding the convergence between parent report and clinician observation measures of development is important and became even more critical during the COVID-19 pandemic as clinician contact with families was significantly limited. Previous research points to inconsistencies in the degree of agreement between parents and clinicians and very little research has examined these associations for infants within the first year of life. This study investigated the association between parent report and clinician observation measures of social communication and motor skills in 27 young infants who were assessed at 9 and 12 months of age. Results suggest a strong relation between clinician and parent rated motor skills, but weak to moderate associations between clinician and parent rated communication skills. Infant temperament played a significant role in parent ratings of infant communication. Together, these results provide support for data collection via parent report or clinician observation of infant motor skills, but suggest that multiple measures of infant communication may be helpful to obtain high-quality, perhaps more accurate, assessment social-communication skills. Specifically, multiple parent report measures along with an observation of parent-infant interactions will likely provide a more rich and accurate characterization of infant social-communication abilities.