Problem/Condition Autism spectrum disorder (ASD). Period Covered 2020. Description of System The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance program that provides estimates of the prevalence of ASD among children aged 8 years. In 2020, there were 11 ADDM Network sites across the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. A child met the case definition if their record documented 1) an ASD diagnostic statement in an evaluation, 2) a classification of ASD in special education, or 3) an ASD International Classification of Diseases (ICD) code. Results For 2020, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 23.1 in Maryland to 44.9 in California. The overall ASD prevalence was 27.6 per 1,000 (one in 36) children aged 8 years and was 3.8 times as prevalent among boys as among girls (43.0 versus 11.4). Overall, ASD prevalence was lower among non-Hispanic White children (24.3) and children of two or more races (22.9) than among non-Hispanic Black or African American (Black), Hispanic, and non-Hispanic Asian or Pacific Islander (A/PI) children (29.3, 31.6, and 33.4 respectively). ASD prevalence among non-Hispanic American Indian or Alaska Native (AI/AN) children (26.5) was similar to that of other racial and ethnic groups. ASD prevalence was associated with lower household income at three sites, with no association at the other sites. Across sites, the ASD prevalence per 1,000 children aged 8 years based exclusively on documented ASD diagnostic statements was 20.6 (range = 17.1 in Wisconsin to 35.4 in California). Of the 6,245 children who met the ASD case definition, 74.7% had a documented diagnostic statement of ASD, 65.2% had a documented ASD special education classification, 71.6% had a documented ASD ICD code, and 37.4% had all three types of ASD indicators. The median age of earliest known ASD diagnosis was 49 months and ranged from 36 months in California to 59 months in Minnesota. Among the 4,165 (66.7%) children with ASD with information on cognitive ability, 37.9% were classified as having an intellectual disability. Intellectual disability was present among 50.8% of Black, 41.5% of A/PI, 37.8% of two or more races, 34.9% of Hispanic, 34.8% of AI/AN, and 31.8% of White children with ASD. Overall, children with intellectual disability had earlier median ages of ASD diagnosis (43 months) than those without intellectual disability (53 months). Interpretation For 2020, one in 36 children aged 8 years (approximately 4% of boys and 1% of girls) was estimated to have ASD. These estimates a...

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Although many bullying prevention programs aim to involve multiple partners, few studies have examined perceptual differences regarding peer victimization and the broader bullying climate among students, staff, and parents. The present study utilized multilevel data from 11,674 students, 960 parents, and 1,027 staff at 44 schools to examine the association between school-level indicators of disorder, norms regarding bullying and bullies, and students, parents, and staff perceptions of safety, belonging, and witnessing bullying. Results revealed several important discrepancies between adults and youth with regard to their perceptions. Moreover, results highlight the significance of normative beliefs about bullies, retaliation, and the influence of school contextual factors on students’ risk for exposure to bullying.

Evidence-based interventions are being disseminated broadly in schools across the USA, but the implementation levels achieved in community settings vary considerably. The current study examined the extent to which teacher and school factors were associated with implementation dosage and quality of the PAX Good Behavior Game (PAX GBG), a universal classroom-based preventive intervention designed to improve student social-emotional competence and behavior. Specifically, dosage (i.e., number of games and duration of games) across the school year and quality (i.e., how well the game is delivered) of PAX GBG implementation across four time points in a school year were examined. Hierarchical linear modeling was used to examine the association between teacher-level factors (e.g., demographics, self-reports of personal resources, attitudes toward the intervention, and workplace perceptions) and longitudinal implementation data. We also accounted for school-level factors, including demographic characteristics of the students and ratings of the schools' organizational health. Findings indicated that only a few teacher-level factors were significantly related to variation in implementation. Teacher perceptions (e.g., fit with teaching style, emotional exhaustion) were generally related to dosage, whereas demographic factors (e.g., teachers' age) were related to quality. These findings highlight the importance of school contextual and proximal teacher factors on the implementation of classroom-based programs.