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This study combines data from five studies in a quantitative modeling approach to improve identification of tics and tic disorders using two questionnaires (the Motor or Vocal Inventory of Tics and the Description of Tic Symptoms), administered to parents and children N = 1 , 307 . Combining final diagnoses (positive or negative for tic disorder) with data from recently developed questionnaires implemented to assist in the identification of tics and tic disorders in children, we investigate methods for predicting positive diagnosis while also identifying which items in the questionnaires are most predictive. Logistic regression and random forest models are compared using various summary statistics. We further discuss the differences in errors (false positives versus false negatives) in the specification of predictive model tuning parameters. Compared to logistic regression models, random forest models provided comparable and often superior predictive abilities and were also more useful in summarizing the contributions to predictions from individual questions. The combined analyses identified a subset of screener questions that were the best predictors of tic disorders; the identified questions differed based on parent or self-report. These results provide information to inform the future development of tools to screen for tics in a variety of healthcare and epidemiological settings.

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BACKGROUND: Fetal alcohol spectrum disorders (FASDs) are lifelong conditions that can occur in a person with prenatal alcohol exposure. Although studies using intensive, in-person assessments of children in selected communities have found higher estimates of children with FASDs than studies of healthcare claims data, claims-based studies provide more current information about individuals with recognized FASDs from diverse populations. We estimated the proportion of children with administratively reported FASDs in two large healthcare claims databases. METHODS: We analyzed Merative™ MarketScan® commercial and Medicaid claims databases, that include nationwide data from employer-sponsored health plans and from Medicaid programs in 8-10 states, respectively. For each database, we estimated the proportion of children aged 0-17 years with administratively reported FASDs, identified by one inpatient or two outpatient codes for prenatal alcohol exposure or fetal alcohol syndrome during the entire seven-year period from 2015 to 2021 and during each year. RESULTS: During 2015-2021, 1.2 per 10,000 commercially-insured and 6.1 per 10,000 Medicaid-insured children had an administratively reported FASD; estimates varied by sex, geography, and other available demographics. Among commercially-insured children, 0.5 per 10,000 in 2015 and 0.6 per 10,000 children in 2021 had an administratively reported FASD; among Medicaid-insured, 1.2 per 10,000 in 2015 and 2.1 per 10,000 children in 2021 had an administratively reported FASD. CONCLUSIONS: Although an underestimate of the true population of children with FASDs, patterns in administratively reported FASDs by demographics were consistent with previous studies. Healthcare claims studies can provide timely, ongoing information about children with recognized FASDs to complement in-persons studies.

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Youth with intellectual and developmental disabilities typically have higher rates of tics and stereotypies compared to children with otherwise typical development. Differentiating between these two pediatric movement disorders can be challenging due to overlapping clinical features, but is relevant due to distinct treatment modalities. The current study evaluated sensitivity and specificity of a tic screening measure, the Motor or Vocal Inventory of Tics (MOVeIT) in a pediatric sample enriched for stereotypy and tics. Children (n=199, age 2-15 years old) receiving care in a developmental-behavioral pediatrics clinic underwent a gold-standard diagnostic assessment by a tic expert; these evaluations were compared to the MOVeIT. The MOVeIT demonstrated good sensitivity (89.8%) and relatively lower specificity (57.1%) compared to tic expert for detecting tics in the overall sample. Specificity of the MOVeIT to identify tics improved to 75% when excluding children with co-occurring stereotypy. For children with tics and co-occurring stereotypy, sensitivity remained high (91.9%) but specificity was low (39.1%). The area under the curve (AUC) value to detect tics on the MOVeIT compared to the tic expert gold standard was significantly higher for children without stereotypy (AUC=85.7%) than those with stereotypy (AUC=64.3%, p <0.01). Overall, the ability to detect tics was better in those without co-occurring stereotypy symptoms. Further work is needed to establish the utility of the MOVeIT in populations where there is a high likelihood of co-occurring tics and stereotypy and in general population settings. Accurate distinction between tics and stereotypy will guide choices for intervention and anticipatory guidance for families.

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OBJECTIVE: Young children with attention-deficit/hyperactivity disorder (ADHD) can have challenging behaviors putting them at risk for preschool expulsion and for adverse outcomes across child development, health, and education. We examined the association of preschool expulsion with ADHD symptoms, diagnosis, treatment, and functioning among children with ADHD. METHODS: Using the cross-sectional National Survey of the Diagnosis and Treatment of ADHD and Tourette Syndrome on 2947 children aged 5 to 17 years ever diagnosed with ADHD, parents reported on preschool expulsion, ADHD symptoms, diagnosis, treatment, and functioning. Weighted analyses included calculations of estimated means, prevalence, and prevalence ratios. RESULTS: Preschool expulsion was experienced by 4.4% of children ever diagnosed with ADHD (girls: 1.5%; boys: 5.7%). Children with preschool expulsion had lower mean ages at first concern about ADHD symptoms, ADHD diagnosis, and initiation of ADHD medication and had higher prevalence of severe ADHD symptoms and other mental, behavioral, or developmental disorders. A history of preschool expulsion was associated with difficulties with overall school performance, organized activities, writing, handwriting, and the parent-child relationship, but not with math, reading, or peer or sibling relationships. Children with preschool expulsion more often received school supports, behavioral classroom management, peer intervention, and social skills training. CONCLUSION: Among children ever diagnosed with ADHD, history of preschool expulsion was associated with more severe ADHD symptoms, other disorders, earlier diagnosis and medication initiation, and academic and social impairment. Health care providers can use preschool expulsion as an indicator of risk for children with ADHD and connect families to effective treatments.

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OBJECTIVE: To provide updated national prevalence estimates of diagnosed attention-deficit/hyperactivity disorder (ADHD), ADHD severity, co-occurring disorders, and receipt of ADHD medication and behavioral treatment among U.S. children and adolescents by demographic and clinical subgroups using data from the 2022 National Survey of Children's Health (NSCH). METHOD: This study used 2022 NSCH data to estimate the prevalence of ever diagnosed and current ADHD among U.S. children aged 3-17 years. Among children with current ADHD, ADHD severity, presence of current co-occurring disorders, and receipt of medication and behavioral treatment were estimated. Weighted estimates were calculated overall and for demographic and clinical subgroups (n = 45,169). RESULTS: Approximately 1 in 9 U.S. children have ever received an ADHD diagnosis (11.4%, 7.1 million children) and 10.5% (6.5 million) had current ADHD. Among children with current ADHD, 58.1% had moderate or severe ADHD, 77.9% had at least one co-occurring disorder, approximately half of children with current ADHD (53.6%) received ADHD medication, and 44.4% had received behavioral treatment for ADHD in the past year; nearly one third (30.1%) did not receive any ADHD-specific treatment. CONCLUSIONS: Pediatric ADHD remains an ongoing and expanding public health concern, as approximately 1 million more children had ever received an ADHD diagnosis in 2022 than in 2016. Estimates from the 2022 NSCH provide information on pediatric ADHD during the last full year of the COVID-19 pandemic and can be used by policymakers, government agencies, health care systems, public health practitioners, and other partners to plan for needs of children with ADHD.

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OBJECTIVE: To examine the association between congenital cytomegalovirus (cCMV) and autism spectrum disorder (ASD) administrative diagnoses in US children. METHODS: Cohort study using 2014 to 2020 Medicaid claims data. We used diagnosis codes to identify cCMV (exposure), ASD (outcome), and covariates among children enrolled from birth through ≥4 to <7 years. Covariates include central nervous system (CNS) anomaly or injury diagnosis codes, including brain anomaly, microcephaly within 45 days of birth, cerebral palsy, epilepsy, or chorioretinitis. We used Cox proportional hazards regression models to estimate hazard ratios and 95% confidence intervals, overall and stratified by sex, birth weight and gestational age outcome (low birth weight or preterm birth), and presence of CNS anomaly or injury. RESULTS: Among 2 989 659 children, we identified 1044 (3.5 per 10 000) children with cCMV and 74 872 (25.0 per 1000) children with ASD. Of those with cCMV, 49% also had CNS anomaly or injury diagnosis codes. Children with cCMV were more likely to have ASD diagnoses (hazard ratio: 2.5; 95% confidence interval: 2.0-3.2, adjusting for birth year, sex, and region). This association differed by sex and absence of CNS anomaly or injury but not birth outcome. CONCLUSIONS: Children with (versus without) cCMV diagnoses in Medicaid claims data, most of whom likely had symptomatic cCMV, were more likely to have ASD diagnoses. Future research investigating ASD risk among cohorts identified through universal cCMV screening may help elucidate these observed associations.

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OBJECTIVE: To characterize provider types delivering outpatient care overall and through telehealth to U.S. adults with ADHD. METHOD: Using employer-sponsored insurance (ESI) and Medicaid claims, we identified enrollees aged 18 to 64 years who received outpatient care for ADHD in 2021. Billing provider codes were used to tabulate the percentage of enrollees receiving ADHD care from 10 provider types overall and through telehealth. RESULTS: Family practice physicians, psychiatrists, and nurse practitioners/psychiatric nurses were the most common providers for adults with ESI, although the distribution of provider types varied across states. Lower percentages of adults with Medicaid received ADHD care from physicians. Approximately half of adults receiving outpatient ADHD care received ADHD care by telehealth. CONCLUSION: Results may inform the development of clinical guidelines for adult ADHD and identify audiences for guideline dissemination and education planning.

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We examined the predictive utility of the Behavior Assessment System for Children-2 Behavioral and Emotional Screening System (BASC-2-BESS) and Strengths and Difficulties Questionnaire (SDQ) in identifying students with a mental disorder. Data were collected in a two-stage study over 34 months with kindergarten-12th grade (K-12) students (aged 5-19 years) in four U.S. school districts. In Stage 1, teachers completed the BASC-2-BESS and the SDQ. In Stage 2, parents of 1,054 children completed a structured diagnostic interview to determine presence of a mental disorder. Results suggest that teacher versions of the BASC-2-BESS and SDQ have modest utility in identifying children meeting criteria for a mental disorder based on parent report. Area Under the Curve (AUC) statistics representing prediction of any externalizing disorder (.73 for both measures) were higher than the AUCs predicting any internalizing disorder (.58 for both measures). Findings can inform the use of teacher report in mental health screening, specifically the selection of measures when implementing screening procedures.

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OBJECTIVE: To compare mental health indicators among undergraduates in Fall 2019, before the COVID-19 pandemic, and Fall 2020, when many students returned to campus amidst restrictions on in-person contact. PARTICIPANTS: Analyses included 26,881 undergraduate students, aged 18-24, from 70 U.S. institutions. METHODS: Students completed the National College Health Assessment-III survey in Fall 2019 or Fall 2020. RESULTS: The prevalences of high stress, loneliness, a low flourishing score, and serious psychological distress increased in 2020 compared to 2019. Serious psychological distress increased substantially in 2020 among students not living with family (adjusted prevalence ratio (aPR)=1.36, 95% CI 1.29-1.45) but not among students living with family (aPR = 1.09, 95% CI 0.95-1.26). CONCLUSIONS: These results suggest prevalences of several indicators of poor mental health were elevated among U.S. undergraduates several months into the pandemic. The pandemic may have had greater impact on mental health among students not living with family.

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We examined the prevalence of diagnosed depression, anxiety, and ADHD among youth by diabetes type, insurance type, and race/ethnicity. These mental disorders were more prevalent among youth with diabetes, particularly those with type 2 diabetes, with non-Hispanic White youth with Medicaid and diabetes having a higher prevalence than other races/ethnicities.

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INTRODUCTION: Many children and adolescents experience insufficient sleep, which poses risks for their short- and long-term health and development. This study examined the concurrent associations of contextual factors, including child, demographic, neighborhood, and family factors, with short sleep duration. METHODS: We combined data on children aged 3 to 17 years from the 2016-2019 National Survey of Children's Health (N = 112,925) to examine the association of parent-reported child short sleep duration (ages 3-5 y, <10 h; 6-12 y, <9 h; 13-17 y, <8 h) with mental, behavioral, and developmental disorders (MBDDs); selected physical health conditions; and demographic, neighborhood, and family factors. RESULTS: Overall, 34.7% of children experienced short sleep duration. The prevalence was highest among children aged 6 to 12 years (37.5%); children from racial and ethnic minority groups, especially non-Hispanic Black children (50.0%); children from low-income households (44.9%); children with an MBDD (39.6%); children experiencing negative neighborhood factors (poor conditions and lack of safety, support, and amenities, 36.5%); and family factors such as inconsistent bedtime (57.3%), poor parental mental (47.5%) and physical health (46.0%), and adverse childhood experiences (44.1%). The associations between sleep and demographic, neighborhood, and family factors, and MBDD remained significant after controlling for all other factors. CONCLUSION: This study identified several individual, family, and community factors that may contribute to children's short sleep duration and can be targeted to improve healthy development, particularly among children with an MBDD, from households with low socioeconomic status, or from racial and ethnic minority groups who are at increased risk for short sleep duration.

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Tics are unwanted, repetitive movements and sounds that frequently present during childhood. They are typically brief and purposeless, but can create significant distress for individuals, and often co-occur with other neuropsychiatric conditions. Thus, early identification of tics is warranted. Unfortunately, tics are often misdiagnosed, and because tics may wax and wane, identification can be difficult, especially in the context of routine clinical visits. There are limited tools that can be used to reliably identify tics in clinical practice, especially in non-specialty settings. The purpose of the current study was to evaluate the performance of the Motor tic, Obsession and compulsion, and Vocal tic Evaluation Survey (MOVES), a self-report scale with some support as a screening tool. In addition, the performance of a subset of questions (the MOVES-6) was evaluated for rapid screening. Participants were recruited across two study sites and included children and adolescents diagnosed with Tourette syndrome (n = 151) or another persistent tic disorder (n = 10) and community controls (n = 74). Results suggest both the MOVES and the MOVES-6 have high sensitivity (90% and 88%, respectively) and at least acceptable specificity (77% and 86%, respectively) compared with expert assessment of tic disorders, suggesting that both versions can identify tic disorders without high proportions of false negatives. Both versions were highly sensitive with acceptable specificity regardless of sex, race/ethnicity, and age. The MOVES and MOVES-6 show promise as a screener for tics or tic disorders, but additional research is needed, particularly in a general population setting.

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Prescription stimulant use, primarily for the treatment of attention-deficit/hyperactivity disorder (ADHD), has increased among adults in the United States during recent decades, while remaining stable or declining among children and adolescents (1,2). MarketScan commercial claims data were analyzed to describe trends in prescription stimulant fills before and during the COVID-19 pandemic (2016-2021) by calculating annual percentages of enrollees aged 5-64 years in employer-sponsored health plans who had one or more prescription stimulant fills overall and by sex and age group. Overall, the percentage of enrollees with one or more prescription stimulant fills increased from 3.6% in 2016 to 4.1% in 2021. The percentages of females aged 15-44 years and males aged 25-44 years with prescription stimulant fills increased by more than 10% during 2020-2021. Future evaluation could determine if policy and health system reimbursement changes enacted during the pandemic contributed to the increase in stimulant prescriptions. Stimulants can offer substantial benefits for persons with ADHD, but also pose potential harms, including adverse effects, medication interactions, diversion and misuse, and overdoses. Well-established clinical guidelines exist for ADHD care, but only for children and adolescents* (3); clinical practice guidelines for adult ADHD could help adults also receive accurate diagnoses and appropriate treatment.

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OBJECTIVE: To evaluate the appropriateness of parent-reported diagnosis of ADHD as a surveillance tool. METHOD: We assessed agreement over time and concordance of parent-reported diagnosis against Diagnostic and Statistical Manual (DSM)-based criteria. We compared concordance of diagnosis and DSM-based criteria by child characteristics, including treatment. RESULTS: Among parents who reported their child had ADHD, 95.7% reported it again 2 years later. Comparing diagnosis with DSM-based criteria, specificity and negative predictive value were high, sensitivity was moderate, and positive predictive value was low. Most children with an ADHD diagnosis who did not meet DSM-based criteria met sub-threshold criteria or took medication for ADHD. Concordance differed by child characteristics and treatment. CONCLUSION: Parent-reported diagnosed ADHD is reliable over time. Although differences in parent-reported diagnosis and DSM-based criteria were noted, these may reflect children with milder symptoms or treated ADHD. Parent-report of child ADHD ever diagnosis may be a good single-item indicator for prevalence.

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PURPOSE: This study evaluated the stability over time of prevalence estimates of mental disorders among school-aged children from the same community. METHODS: We compared screening status and weighted prevalence of selected mental disorders from the two-stage school-based South Carolina Project to Learn About Youth-Mental Health (Time 1) and its replication study (Time 2) conducted between 2014 and 2017. During stage 1, two teacher screeners were used to group students into high or low risk for a mental disorder. During stage 2, parents of selected students completed a structured diagnostic interview to assess whether their child met criteria for specific disorders. RESULTS: For stage 1, 19.9% of students screened as high risk for a mental disorder at Time 2 compared to 17.8% at Time 1. Among students included at both timepoints, 9.1% screened as high risk at both timepoints while screening status changed for 20.7%. The overall prevalence of included mental disorders was approximately 18% at both time points There were no differences (P-values >.05) in prevalence of individual mental disorders between Time 1 (range:0.3%-6.7%) and Time 2 (range:1.2%-7.7%). CONCLUSIONS: Study findings demonstrate that similar methodology yielded similar prevalence estimates of mental disorders and can inform community-level planning for improving mental health in children.

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Estimates of the number of people in the U.S. with Tourette syndrome or other persistent tic disorders can inform service provision planning. Based on available prevalence estimates applied to 2020 population data from the U.S. Census, we estimated that 350,000-450,000 U.S. children and adults have Tourette syndrome and about one million have other persistent tic disorders. Variation across studies makes estimating the total number of people in the United States affected by these disorders challenging. More precise measurement could ensure that prevalence estimates accurately reflect all who are impacted by these disorders and who could benefit from evidence-based services.

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OBJECTIVE: To provide state-level estimates of diagnosed ADHD and associated treatment among children in the United States in 2016 to 2019. METHOD: This study used the National Survey of Children's Health to produce national and state-level estimates of lifetime diagnosis and current ADHD among all children aged 3 to 17 years (n=114,476), and national and state-level estimates of medication and behavioral treatment use among children with current ADHD. RESULTS: The state-level estimates of diagnosed ADHD ranged from 6.1% to 16.3%. Among children with current ADHD, state-level estimates of ADHD medication usage ranged from 37.8% to 81.4%, and state-level estimates of behavioral treatment ranged from 38.8% to 61.8%. CONCLUSION: There was substantial state-level variation for indicators of ADHD diagnosis and associated treatment. These state-level results can be used by policymakers, public health practitioners, health care providers, and other stakeholders to help address the service needs of children with ADHD in their states.

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OBJECTIVE: To identify characteristics associated with bullying involvement in pediatric ADHD. METHODS: Data from the 2016 to 2017 National Survey of Children's Health for children aged 6 to 17 years with ADHD were evaluated to assess the association between parent-reported bullying victimization or perpetration and the following potential predictors: demographic characteristics, family factors, school factors, and child conditions/behaviors. RESULTS: Among children with ADHD, 46.9% were bullying victims and 16.2% were perpetrators. Factors associated with victimization included having family financial strain, developmental delay or intellectual disability, friendship difficulties, and school reports about problems. Factors linked to perpetration included being male, receiving government assistance, lack of school engagement, school reports about problems, and having difficulties with friendships, staying calm, and arguing. CONCLUSIONS: Children with ADHD frequently were bullying victims and sometimes bullying perpetrators. Factors related to family financial strain, developmental disabilities, emotional regulation, peer relationships, and school functioning may help to identify risk for bullying and opportunities for anti-bullying interventions.

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Mental health encompasses a range of mental, emotional, social, and behavioral functioning and occurs along a continuum from good to poor. Previous research has documented that mental health among children and adolescents is associated with immediate and long-term physical health and chronic disease, health risk behaviors, social relationships, education, and employment. Public health surveillance of children's mental health can be used to monitor trends in prevalence across populations, increase knowledge about demographic and geographic differences, and support decision-making about prevention and intervention. Numerous federal data systems collect data on various indicators of children's mental health, particularly mental disorders. The 2013-2019 data from these data systems show that mental disorders begin in early childhood and affect children with a range of sociodemographic characteristics. During this period, the most prevalent disorders diagnosed among U.S. children and adolescents aged 3-17 years were attention-deficit/hyperactivity disorder and anxiety, each affecting approximately one in 11 (9.4%-9.8%) children. Among children and adolescents aged 12-17 years, one fifth (20.9%) had ever experienced a major depressive episode. Among high school students in 2019, 36.7% reported persistently feeling sad or hopeless in the past year, and 18.8% had seriously considered attempting suicide. Approximately seven in 100,000 persons aged 10-19 years died by suicide in 2018 and 2019. Among children and adolescents aged 3-17 years, 9.6%-10.1% had received mental health services, and 7.8% of all children and adolescents aged 3-17 years had taken medication for mental health problems during the past year, based on parent report. Approximately one in four children and adolescents aged 12-17 years reported having received mental health services during the past year. In federal data systems, data on positive indicators of mental health (e.g., resilience) are limited. Although no comprehensive surveillance system for children's mental health exists and no single indicator can be used to define the mental health of children or to identify the overall number of children with mental disorders, these data confirm that mental disorders among children continue to be a substantial public health concern. These findings can be used by public health professionals, health care providers, state health officials, policymakers, and educators to understand the prevalence of specific mental disorders and other indicators of mental health and the challenges related to mental health surveillance.

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Strengthening systems of care to meet the needs of individuals with autism spectrum disorder (ASD) is of growing importance. Administrative data provide advantages for research and planning purposes, including large sample sizes and the ability to identify enrollment in insurance coverage and service utilization of individuals with ASD. Researchers have employed varying strategies to identify individuals with ASD in administrative data. Differences in these strategies can limit the comparability of results across studies. This review describes implications of the varying strategies that have been employed to identify individuals with ASD in US claims databases, with consideration of the strengths and limitations of each approach.

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