Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that develops during childhood and can last into adulthood. Data from the National Center for Health Statistics Rapid Surveys System collected during October-November 2023 were used to estimate the prevalence of ADHD diagnosis and treatment among U.S. adults. In 2023, an estimated 15.5 million U.S. adults (6.0%) had a current ADHD diagnosis based on self-report; approximately one half received the diagnosis at age ≥18 years. Approximately one third of adults with ADHD took a stimulant medication to treat their ADHD in the previous year, 71.5% of whom had difficulty getting their ADHD prescription filled because it was unavailable. Approximately one half of adults with ADHD have ever used telehealth for ADHD-related services. Telehealth might have benefits for persons with ADHD, including helping them access behavioral treatment or medication prescriptions for ADHD. This report provides national estimates of the prevalence and treatment of ADHD among U.S. adults to help guide clinical care and regulatory decision-making for ADHD among U.S. adults.

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.

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.

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.

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.

Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders with significant individual and societal negative impacts of the disorder continuing into adulthood (Danielson et al. in Journal of Clinical Child and Adolescent Psychology, in press; Landes and London in Journal of Attention Disorders 25:3-13, 2021). Genetic and environmental risk (e.g., modifiable exposures such as prenatal tobacco exposure and child maltreatment) for ADHD is likely multifactorial (Faraone et al. in Neuroscience & Biobehavioral Reviews 128:789-818, 2021). However, the evidence for potentially modifiable contextual risks is spread across studies with different methodologies and ADHD criteria limiting understanding of the relationship between early risk factors and later childhood ADHD. Using common methodology across six meta-analyses (Bitsko et al. in Prevention Science, 2022; Claussen et al. in Prevention Science 1-23, 2022; Dimitrov et al. in Prevention Science, 2023; Maher et al. in Prevention Science, 2023; Robinson, Bitsko et al. in Prevention Science, 2022; So et al. in Prevention Science, 2022) examining 59 risk factors for childhood ADHD, the papers in this special issue use a public health approach to address prior gaps in the literature. This introductory paper provides examples of comprehensive public health approaches focusing on policy, systems, and environmental changes across socio-ecological contexts to improve health and wellbeing through prevention, early intervention, and support across development using findings from these meta-analyses. Together, the findings from these studies and a commentary by an author independent from the risk studies have the potential to minimize risk conditions, prioritize prevention efforts, and improve the long-term health and wellbeing of children and adults with ADHD.

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. © 2024 The Author(s). Published with license by Taylor & Francis Group, LLC.

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.

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.

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.

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 <.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. © 2023 Society of Clinical Child & Adolescent Psychology.

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.

Background Identification of risk factors for COVID-19-associated hospitalization is needed to guide prevention and clinical care.Objective To examine if age, sex, race/ethnicity, and underlying medical conditions is independently associated with COVID-19-associated hospitalizations.Design Cross-sectional.Setting 70 counties within 12 states participating in the Coronavirus Disease 2019-Associated Hospitalization Surveillance Network (COVID-NET) and a population-based sample of non-hospitalized adults residing in the COVID-NET catchment area from the Behavioral Risk Factor Surveillance System.Participants U.S. community-dwelling adults (≥18 years) with laboratory-confirmed COVID-19-associated hospitalizations, March 1- June 23, 2020.Measurements Adjusted rate ratios (aRR) of hospitalization by age, sex, race/ethnicity and underlying medical conditions (hypertension, coronary artery disease, history of stroke, diabetes, obesity [BMI ≥30 kg/m2], severe obesity [BMI≥40 kg/m2], chronic kidney disease, asthma, and chronic obstructive pulmonary disease).Results Our sample included 5,416 adults with COVID-19-associated hospitalizations. Adults with (versus without) severe obesity (aRR:4.4; 95%CI: 3.4, 5.7), chronic kidney disease (aRR:4.0; 95%CI: 3.0, 5.2), diabetes (aRR:3.2; 95%CI: 2.5, 4.1), obesity (aRR:2.9; 95%CI: 2.3, 3.5), hypertension (aRR:2.8; 95%CI: 2.3, 3.4), and asthma (aRR:1.4; 95%CI: 1.1, 1.7) had higher rates of hospitalization, after adjusting for age, sex, and race/ethnicity. In models adjusting for the presence of an individual underlying medical condition, higher hospitalization rates were observed for adults ≥65 years, 45-64 years (versus 18-44 years), males (versus females), and non-Hispanic black and other race/ethnicities (versus non-Hispanic whites).Limitations Interim analysis limited to hospitalizations with underlying medical condition data.Conclusion Our findings elucidate groups with higher hospitalization risk that may benefit from targeted preventive and therapeutic interventions.Competing Interest StatementDr. Anderson reports personal fees from AbbVie, personal fees from Pfizer, grants from Pfizer, grants from Merck, grants from Micron, grants from Paxvax, grants from Sanofi Pasteur, grants from Novavax, grants from MedImmune, grants from Regeneron, grants from GSK, outside the submitted work. Mr. Henderson, Ms. Kim, Ms. George, and Ms. Hill report grants from Council of State and Territorial Epidemiologists (CSTE), during the conduct of the study. Dr. Lynfield reports grants from CDC- Emerging Infections Program, during the conduct of the study; and Royalties from a book on infectious disease surveillance and compensation for AAP Red Book (Report from Committee on Infectious Disease) donated to Minnesota Dept of Health. Dr. Schaffner reports grants from CDC, during the conduct of the study; personal fees from VBI Vaccines, outside the submitted work. Dr. Talbot reports other from Seqirus, outside the submitted work.Funding StatementThis work was supported by the Centers of Disease Control and Prevention through an Emerging Infections Program cooperative agreement (grant CK17-1701) and through a Council of State and Territorial Epidemiologists cooperative agreement (grant NU38OT000297-02-00).Author DeclarationsI confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.YesThe details of the IRB/oversight body that provided approval or exemption for the research described are given below:This analysis was exempt from CDC's Institutional Review Board, as it was considered part of public health surveillance and emergency response. Participating sites obtained approval for the COVID-NET surveillance protocol from their respective state and local IRBs, as required.All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.YesI understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved regi try, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).YesI have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.YesData is not publically available at this time.

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.

Poor mental health among parents or primary caregivers is associated with poor mental and physical health in children; however, research often excludes the mental health of male caregivers including fathers. This analysis examines associations between caregiver mental health by caregiver sex and child health indicators (i.e., child's general health; child's history of diagnosed mental, behavioral, or developmental disorders (MBDDs)). Using parent-reported data on 97,728 US children aged 0-17 years from the National Survey of Children's Health (2016-2018), we estimated nationally representative, weighted proportions of children with parents or primary caregivers with poor mental health by caregiver sex, prevalence ratios (PR), and 95% confidence intervals (CI) for child health indicators by caregiver mental health and sex. Nationally, 7.2% of children had at least one caregiver with poor mental health; 2.8% had any male caregiver; and 5.1% had any female caregiver with poor mental health. Compared to children with all male caregivers with good mental health, children with any male caregiver with poor mental health were more likely to have poor general health (PR: 4.9, CI: 3.0-8.0) and have ≥1 diagnosed MBDDs (PR: 1.9, CI: 1.7-2.1); this remained significant when controlling for caregiver and household characteristics. Findings were similar when comparing children with any female caregiver with poor mental health to children with all female caregivers with good mental health. Our findings support previously published recommendations that promoting mental health among all types of caregivers by addressing gaps in research on fathers and male caregivers may further promote child health and wellness.

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 that both 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. © 2023 Society of Clinical Child and Adolescent Psychology.

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 that both 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. 2023 Society of Clinical Child and Adolescent Psychology.

Tics and tic disorders can significantly impact children, but limited screening tools and diagnostic challenges may delay access to care. The current study attempted to address these gaps by evaluating sensitivity and specificity of the Motor or Vocal Inventory of Tics (MOVeIT), a tic symptom screener, and the Description of Tic Symptoms (DoTS), a brief diagnostic assessment for tic disorders. Children (n = 100, age 6–17 years old) with tic disorders attending a Tourette specialty clinic and a community-recruited sample without tics completed a gold-standard assessment by a tic expert; these evaluations were compared to child self-report and parent and teacher report versions of the MOVeIT, and child and parent versions of the DoTS. The parent and child MOVeIT met or exceeded pre-specified 85% sensitivity and specificity criteria for detecting the presence of tics when compared to a gold-standard tic expert diagnosis. The Teacher MOVeIT had lower sensitivity (71.4%) but good specificity (95.7%) for identifying any tic symptoms compared to gold standard. For determination of the presence or absence of any tic disorder, sensitivity of both parent and child DoTS was 100%; specificity of the parent DoTS was 92.7% and child DoTS specificity was 75.9%. More work may be needed to refine the teacher MOVeIT, but it is also recognized that tic expression may vary by setting. While the MOVeIT and DoTS parent and child questionnaires demonstrated adequate sensitivity and specificity for determining the presence of tics and tic disorders in this well-defined sample, additional testing in a general population is warranted. © 2023 Society of Clinical Child and Adolescent Psychology.

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.

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 US school districts. In Stage 1, teachers completed the BASC-2-BESS and the SDQ. In Stage 2, parents of 1054 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 (0.73 for both measures) were higher than the AUCs predicting any internalizing disorder (0.58 for both measures). Findings can inform the use of teacher report in mental health screening, specifically the selection of measures when implementing screening procedures. © 2023 Wiley Periodicals LLC.

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.

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.

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 timepoints. There were no differences (p-values>0.05) 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.

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.

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.

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.

INTRODUCTION: Severe COVID-19 illness in adults has been linked to underlying medical conditions. This study identified frequent underlying conditions and their attributable risk of severe COVID-19 illness. METHODS: We used data from more than 800 US hospitals in the Premier Healthcare Database Special COVID-19 Release (PHD-SR) to describe hospitalized patients aged 18 years or older with COVID-19 from March 2020 through March 2021. We used multivariable generalized linear models to estimate adjusted risk of intensive care unit admission, invasive mechanical ventilation, and death associated with frequent conditions and total number of conditions. RESULTS: Among 4,899,447 hospitalized adults in PHD-SR, 540,667 (11.0%) were patients with COVID-19, of whom 94.9% had at least 1 underlying medical condition. Essential hypertension (50.4%), disorders of lipid metabolism (49.4%), and obesity (33.0%) were the most common. The strongest risk factors for death were obesity (adjusted risk ratio [aRR] = 1.30; 95% CI, 1.27-1.33), anxiety and fear-related disorders (aRR = 1.28; 95% CI, 1.25-1.31), and diabetes with complication (aRR = 1.26; 95% CI, 1.24-1.28), as well as the total number of conditions, with aRRs of death ranging from 1.53 (95% CI, 1.41-1.67) for patients with 1 condition to 3.82 (95% CI, 3.45-4.23) for patients with more than 10 conditions (compared with patients with no conditions). CONCLUSION: Certain underlying conditions and the number of conditions were associated with severe COVID-19 illness. Hypertension and disorders of lipid metabolism were the most frequent, whereas obesity, diabetes with complication, and anxiety disorders were the strongest risk factors for severe COVID-19 illness. Careful evaluation and management of underlying conditions among patients with COVID-19 can help stratify risk for severe illness.

IMPORTANCE: Information on underlying conditions and severe COVID-19 illness among children is limited. OBJECTIVE: To examine the risk of severe COVID-19 illness among children associated with underlying medical conditions and medical complexity. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study included patients aged 18 years and younger with International Statistical Classification of Diseases, Tenth Revision, Clinical Modification code U07.1 (COVID-19) or B97.29 (other coronavirus) during an emergency department or inpatient encounter from March 2020 through January 2021. Data were collected from the Premier Healthcare Database Special COVID-19 Release, which included data from more than 800 US hospitals. Multivariable generalized linear models, controlling for patient and hospital characteristics, were used to estimate adjusted risk of severe COVID-19 illness associated with underlying medical conditions and medical complexity. EXPOSURES: Underlying medical conditions and medical complexity (ie, presence of complex or noncomplex chronic disease). MAIN OUTCOMES AND MEASURES: Hospitalization and severe illness when hospitalized (ie, combined outcome of intensive care unit admission, invasive mechanical ventilation, or death). RESULTS: Among 43 465 patients with COVID-19 aged 18 years or younger, the median (interquartile range) age was 12 (4-16) years, 22 943 (52.8%) were female patients, and 12 491 (28.7%) had underlying medical conditions. The most common diagnosed conditions were asthma (4416 [10.2%]), neurodevelopmental disorders (1690 [3.9%]), anxiety and fear-related disorders (1374 [3.2%]), depressive disorders (1209 [2.8%]), and obesity (1071 [2.5%]). The strongest risk factors for hospitalization were type 1 diabetes (adjusted risk ratio [aRR], 4.60; 95% CI, 3.91-5.42) and obesity (aRR, 3.07; 95% CI, 2.66-3.54), and the strongest risk factors for severe COVID-19 illness were type 1 diabetes (aRR, 2.38; 95% CI, 2.06-2.76) and cardiac and circulatory congenital anomalies (aRR, 1.72; 95% CI, 1.48-1.99). Prematurity was a risk factor for severe COVID-19 illness among children younger than 2 years (aRR, 1.83; 95% CI, 1.47-2.29). Chronic and complex chronic disease were risk factors for hospitalization, with aRRs of 2.91 (95% CI, 2.63-3.23) and 7.86 (95% CI, 6.91-8.95), respectively, as well as for severe COVID-19 illness, with aRRs of 1.95 (95% CI, 1.69-2.26) and 2.86 (95% CI, 2.47-3.32), respectively. CONCLUSIONS AND RELEVANCE: This cross-sectional study found a higher risk of severe COVID-19 illness among children with medical complexity and certain underlying conditions, such as type 1 diabetes, cardiac and circulatory congenital anomalies, and obesity. Health care practitioners could consider the potential need for close observation and cautious clinical management of children with these conditions and COVID-19.

OBJECTIVE: Tourette syndrome (TS) and co-occurring mental, behavioral, and developmental disorders (MBDDs) have been shown to affect peer relationships. This study provides nationally representative estimates of diagnosed TS prevalence and the prevalence of parent-reported bullying victimization and perpetration among US children with and without TS. METHODS: This study included 2016-2017 National Survey of Children's Health data on children aged 6 to 17 years (N = 51,001) with parent-reported responses about TS diagnosis and their child's experiences with bullying victimization and perpetration. We calculated weighted prevalence estimates of diagnosed TS and of bullying indicators among children ever diagnosed with TS compared with peers without TS. We conducted a logistic regression analysis to estimate adjusted prevalence ratios of bullying involvement by TS status, controlling for age, sex, and co-occurring MBDDs. RESULTS: By parent report, 0.3% of US children had ever received a diagnosis of TS; most children with a TS diagnosis (83.2%) had a co-occurring MBDD. Among children with TS, 56.1% experienced bullying victimization, 20.7% experienced bullying perpetration, and 15.9% experienced both, compared with 21.6%, 6.0%, and 4.1% for children without TS, respectively. After adjusting for age, sex, and co-occurring MBDDs, only the association between TS and bullying victimization remained statistically significant. CONCLUSION: Compared with children without TS, children with TS overall experience more bullying victimization and perpetration. Health care professionals treating children with TS could assess challenges with peer relationships and co-occurring disorders to provide targeted support and referral.

OBJECTIVE: The objective of this article was to assess the impact on behavioral and socioemotional development, 2 to 6 years postintervention (depending on the curriculum), of Legacy for Children, a public health approach to improve child developmental outcomes among families living in poverty. METHODS: Mothers who were recruited prenatally or at the time of childbirth participated in a set of Legacy parallel design randomized control trials between 2001 and 2009 in Miami, Florida, or Los Angeles, California. Of the initial 574 mother-child dyads, 364 completed at least 1 behavioral or socioemotional outcome measure at the third-grade follow-up. Intention-to-treat analyses compared Legacy and comparison groups on behavioral and socioemotional outcomes. RESULTS: Children of Legacy mothers in Los Angeles were at lower risk for externalizing behaviors and poor adaptive skills than children whose mothers did not participate in the intervention. No significant outcome differences by group assignment were found in Miami. CONCLUSION: Group-based positive parenting interventions such as Legacy may have a sustained impact on children's behavioral and socioemotional development several years after intervention completion.