ADHD Prevalence Among U.S. Children and Adolescents in 2022: Diagnosis, Severity, Co-Occurring Disorders, and Treatment.

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.

Overview of the 2019 National Health Interview Survey Questionnaire Redesign.

Data System. Federal health surveys, like the National Health Interview Survey (NHIS), represent important surveillance mechanisms for collecting timely, representative data that can be used to monitor the health and health care of the US population. Data Collection/Processing. Conducted by the National Center for Health Statistics (NCHS), NHIS uses an address-based, complex clustered sample of housing units, yielding data representative of the civilian noninstitutionalized US population. Survey redesigns that reduce survey length and eliminate proxy reporting may reduce respondent burden and increase participation. Such were goals in 2019, when NCHS implemented a redesigned NHIS questionnaire that also focused on topics most relevant and appropriate for surveillance of child and adult health. Data Analysis/Dissemination. Public-use microdata files and selected health estimates and detailed documentation are released online annually. Public Health Implications. Declining response rates may lead to biased estimates and weaken users' ability to make valid conclusions from the data, hindering public health efforts. The 2019 NHIS questionnaire redesign was associated with improvements in the survey's response rate, declines in respondent burden, and increases in data quality and survey relevancy. (Am J Public Health. 2023;113(4):408-415. https://doi.org/10.2105/AJPH.2022.307197).

National Health Interview Survey, COVID-19, and Online Data Collection Platforms: Adaptations, Tradeoffs, and New Directions.

High-quality data are accurate, relevant, and timely. Large national health surveys have always balanced the implementation of these quality dimensions to meet the needs of diverse users. The COVID-19 pandemic shifted these balances, with both disrupted survey operations and a critical need for relevant and timely health data for decision-making. The National Health Interview Survey (NHIS) responded to these challenges with several operational changes to continue production in 2020. However, data files from the 2020 NHIS were not expected to be publicly available until fall 2021. To fill the gap, the National Center for Health Statistics (NCHS) turned to 2 online data collection platforms-the Census Bureau's Household Pulse Survey (HPS) and the NCHS Research and Development Survey (RANDS)-to collect COVID-19‒related data more quickly. This article describes the adaptations of NHIS and the use of HPS and RANDS during the pandemic in the context of the recently released Framework for Data Quality from the Federal Committee on Statistical Methodology. (Am J Public Health. 2021;111(12):2167-2175. https://doi.org/10.2105/AJPH.2021.306516).

Symptoms of Anxiety or Depressive Disorder and Use of Mental Health Care Among Adults During the COVID-19 Pandemic - United States, August 2020-February 2021.

The spread of disease and increase in deaths during large outbreaks of transmissible diseases is often associated with fear and grief (1). Social restrictions, limits on operating nonessential businesses, and other measures to reduce pandemic-related mortality and morbidity can lead to isolation and unemployment or underemployment, further increasing the risk for mental health problems (2). To rapidly monitor changes in mental health status and access to care during the COVID-19 pandemic, CDC partnered with the U.S. Census Bureau to conduct the Household Pulse Survey (HPS). This report describes trends in the percentage of adults with symptoms of an anxiety disorder or a depressive disorder and those who sought mental health services. During August 19, 2020-February 1, 2021, the percentage of adults with symptoms of an anxiety or a depressive disorder during the past 7 days increased significantly (from 36.4% to 41.5%), as did the percentage reporting that they needed but did not receive mental health counseling or therapy during the past 4 weeks (from 9.2% to 11.7%). Increases were largest among adults aged 18-29 years and among those with less than a high school education. HPS data can be used in near real time to evaluate the impact of strategies that address mental health status and care of adults during the COVID-19 pandemic and to guide interventions for groups that are disproportionately affected.

National and State Trends in Anxiety and Depression Severity Scores Among Adults During the COVID-19 Pandemic - United States, 2020-2021.

Recent studies indicate an increase in the percentage of adults who reported clinically relevant symptoms of anxiety and depression during the COVID-19 pandemic (1-3). For example, based on U.S. Census Bureau Household Pulse Survey (HPS) data, CDC reported significant increases in symptoms of anxiety and depressive disorders among adults aged ≥18 years during August 19, 2020-February 1, 2021, with the largest increases among adults aged 18-29 years and among those with less than a high school education (1). To assess more recent national trends, as well as state-specific trends, CDC used HPS data (4) to assess trends in reported anxiety and depression among U.S. adults in all 50 states and the District of Columbia (DC) during August 19, 2020-June 7, 2021 (1). Nationally, the average anxiety severity score increased 13% from August 19-31, 2020, to December 9-21, 2020 (average percent change [APC] per survey wave = 1.5%) and then decreased 26.8% from December 9-21, 2020, to May 26-June 7, 2021 (APC = -3.1%). The average depression severity score increased 14.8% from August 19-31, 2020, to December 9-21, 2020 (APC = 1.7%) and then decreased 24.8% from December 9-21, 2020, to May 26-June 7, 2021 (APC = -2.8%). State-specific trends were generally similar to national trends, with both anxiety and depression scores for most states peaking during the December 9-21, 2020, or January 6-18, 2021, survey waves. Across the entire study period, the frequency of anxiety and depression symptoms was positively correlated with the average number of daily COVID-19 cases. Mental health services and resources, including telehealth behavioral services, are critical during the COVID-19 pandemic.

Prevalence and Treatment of Depression, Anxiety, and Conduct Problems in US Children.

OBJECTIVES: To use the latest data to estimate the prevalence and correlates of currently diagnosed depression, anxiety problems, and behavioral or conduct problems among children, and the receipt of related mental health treatment. STUDY DESIGN: We analyzed data from the 2016 National Survey of Children's Health (NSCH) to report nationally representative prevalence estimates of each condition among children aged 3-17 years and receipt of treatment by a mental health professional. Parents/caregivers reported whether their children had ever been diagnosed with each of the 3 conditions and whether they currently have the condition. Bivariate analyses were used to examine the prevalence of conditions and treatment according to sociodemographic and health-related characteristics. The independent associations of these characteristics with both the current disorder and utilization of treatment were assessed using multivariable logistic regression. RESULTS: Among children aged 3-17 years, 7.1% had current anxiety problems, 7.4% had a current behavioral/conduct problem, and 3.2% had current depression. The prevalence of each disorder was higher with older age and poorer child health or parent/caregiver mental/emotional health; condition-specific variations were observed in the association between other characteristics and the likelihood of disorder. Nearly 80% of those with depression received treatment in the previous year, compared with 59.3% of those with anxiety problems and 53.5% of those with behavioral/conduct problems. Model-adjusted effects indicated that condition severity and presence of a comorbid mental disorder were associated with treatment receipt. CONCLUSIONS: The latest nationally representative data from the NSCH show that depression, anxiety, and behavioral/conduct problems are prevalent among US children and adolescents. Treatment gaps remain, particularly for anxiety and behavioral/conduct problems.

Prevalence of Parent-Reported ADHD Diagnosis and Associated Treatment Among U.S. Children and Adolescents, 2016.

The purpose of this study is to estimate the national prevalence of parent-reported attention deficit/hyperactivity disorder (ADHD) diagnosis and treatment among U.S. children 2-17 years of age using the 2016 National Survey of Children's Health (NSCH). The NSCH is a nationally representative, cross-sectional survey of parents regarding their children's health that underwent a redesign before the 2016 data collection. It included indicators of lifetime receipt of an ADHD diagnosis by a health care provider, whether the child currently had ADHD, and receipt of medication and behavioral treatment for ADHD. Weighted prevalence estimates were calculated overall and by demographic and clinical subgroups (n = 45,736). In 2016, an estimated 6.1 million U.S. children 2-17 years of age (9.4%) had ever received an ADHD diagnosis. Of these, 5.4 million currently had ADHD, which was 89.4% of children ever diagnosed with ADHD and 8.4% of all U.S. children 2-17 years of age. Of children with current ADHD, almost two thirds (62.0%) were taking medication and slightly less than half (46.7%) had received behavioral treatment for ADHD in the past year; nearly one fourth (23.0%) had received neither treatment. Similar to estimates from previous surveys, there is a large population of U.S. children and adolescents who have been diagnosed with ADHD by a health care provider. Many, but not all, of these children received treatment that appears to be consistent with professional guidelines, though the survey questions are limited in detail about specific treatment types received. The redesigned NSCH can be used to annually monitor diagnosis and treatment patterns for this highly prevalent and high-impact neurodevelopmental disorder.

The Design and Implementation of the 2016 National Survey of Children's Health.

Introduction Since 2001, the Health Resources and Services Administration's Maternal and Child Health Bureau (HRSA MCHB) has funded and directed the National Survey of Children's Health (NSCH) and the National Survey of Children with Special Health Care Needs (NS-CSHCN), unique sources of national and state-level data on child health and health care. Between 2012 and 2015, HRSA MCHB redesigned the surveys, combining content into a single survey, and shifting from a periodic interviewer-assisted telephone survey to an annual self-administered web/paper-based survey utilizing an address-based sampling frame. Methods The U.S. Census Bureau fielded the redesigned NSCH using a random sample of addresses drawn from the Census Master Address File, supplemented with a unique administrative flag to identify households most likely to include children. Data were collected June 2016-February 2017 using a multi-mode design, encouraging web-based responses while allowing for paper mail-in responses. A parent/caregiver knowledgeable about the child's health completed an age-appropriate questionnaire. Experiments on incentives, branding, and contact strategies were conducted. Results Data were released in September 2017. The final sample size was 50,212 children; the overall weighted response rate was 40.7%. Comparison of 2016 estimates to those from previous survey iterations are not appropriate due to sampling and mode changes. Discussion The NSCH remains an invaluable data source for key measures of child health and attendant health care system, family, and community factors. The redesigned survey extended the utility of this resource while seeking a balance between previous strengths and innovations now possible.

Reported Wandering Behavior among Children with Autism Spectrum Disorder and/or Intellectual Disability.

OBJECTIVE: To characterize wandering, or elopement, among children with autism spectrum disorder (ASD) and intellectual disability. STUDY DESIGN: Questions on wandering in the previous year were asked of parents of children with ASD with and without intellectual disability and children with intellectual disability without ASD as part of the 2011 Survey of Pathways to Diagnosis and Services. The Pathways study sample was drawn from the much larger National Survey of Children with Special Health Care Needs conducted in 2009-2010. RESULTS: For children with special healthcare needs diagnosed with either ASD, intellectual disability, or both, wandering or becoming lost during the previous year was reported for more than 1 in 4 children. Wandering was highest among children with ASD with intellectual disability (37.7%) followed by children with ASD without intellectual disability (32.7%), and then children with intellectual disability without ASD (23.7%), though the differences between these groups were not statistically significant. CONCLUSIONS: This study affirms that wandering among children with ASD, regardless of intellectual disability status, is relatively common. However, wandering or becoming lost in the past year was also reported for many children with intellectual disability, indicating the need to broaden our understanding of this safety issue to other developmental disabilities.

Treatment of Attention Deficit/Hyperactivity Disorder among Children with Special Health Care Needs.

OBJECTIVES: To describe the parent-reported prevalence of treatments for attention deficit/hyperactivity disorder (ADHD) among a national sample of children with special health care needs (CSHCN), and assess the alignment of ADHD treatment with current American Academy of Pediatrics guidelines. STUDY DESIGN: Parent-reported data from the 2009-2010 National Survey of Children with Special Health Care Needs allowed for weighted national and state-based prevalence estimates of medication, behavioral therapy, and dietary supplement use for ADHD treatment among CSHCN aged 4-17 years with current ADHD. National estimates were compared across demographic groups, ADHD severity, and comorbidities. Medication treatment by drug class was described. RESULTS: Of CSHCN with current ADHD, 74.0% had received medication treatment in the past week, 44.0% had received behavioral therapy in the past year, and 10.2% used dietary supplements for ADHD in the past year. Overall, 87.3% had received past week medication treatment or past year behavioral therapy (both, 30.7%; neither, 12.7%). Among preschool-aged CSHCN with ADHD, 25.4% received medication treatment alone, 31.9% received behavioral therapy alone, 21.2% received both treatments, and 21.4% received neither treatment. Central nervous system stimulants were the most common medication class (84.8%) among CSHCN with ADHD, followed by the selective norepinephrine reuptake inhibitor atomoxetine (8.4%). CONCLUSION: These estimates provide a benchmark of clinical practice for the period directly preceding issuance of the American Academy of Pediatrics' 2011 ADHD guidelines. Most children with ADHD received medication treatment or behavioral therapy; just under one-third received both. Multimodal treatment was most common for CSHCN with severe ADHD and those with comorbidities. Approximately one-half of preschoolers received behavioral therapy, the recommended first-line treatment for this age group.

Assessing systems quality in a changing health care environment: the 2009-10 national survey of children with special health care needs.

To provide a national, population-based assessment of the quality of the health care system for children and youth with special health care needs using a framework of six health care system quality indicators. 49,242 interviews with parents of children with special health care needs from the 2009-10 National Survey of Children with Special Health Care Needs (NS-CSHCN) were examined to determine the extent to which CSHCN had access to six quality indicators of a well-functioning system of services. Criteria for determining access to each indicator were established and applied to the survey data to estimate the proportion of CSHCN meeting each quality indicator by socio-demographic status and functional limitations. 17.6% of CSHCN received care consistent with all six quality indicators. Results for each component of the system quality framework ranged from a high of 70.3% of parents reporting that they shared decision-making with healthcare providers to a low of 40% of parents reporting receipt of services needed for transition to adult health care. Attainment rates were lower for CSHCN of minority racial and ethnic groups, those residing in households where English was not the primary language, those in lower income households, and those most impacted by their health condition. Only a small proportion of CSHCN receive all identified attributes of a high-quality system of services. Moreover, significant disparities exist whereby those most impacted by their conditions and those in traditionally disadvantaged groups are served least well by the current system. A small proportion of CSHCN appear to remain essentially outside of the system, having met few if any of the elements studied.

Age at Autism Spectrum Disorder (ASD) Diagnosis by Race, Ethnicity, and Primary Household Language Among Children with Special Health Care Needs, United States, 2009-2010.

We examined prevalence of diagnosed autism spectrum disorder (ASD) and age at diagnosis according to child's race/ethnicity and primary household language. From the 2009-2010 National Survey of Children with Special Health Care Needs, we identified 2729 3-17-year-old US children whose parent reported a current ASD diagnosis. We compared ASD prevalence, mean diagnosis age, and percentage with later diagnoses (≥5 years) across racial/ethnic/primary household language groups: non-Hispanic-white, any language (NHW); non-Hispanic-black, any language (NHB); Hispanic-any-race, English (Hispanic-English); and Hispanic-any-race, other language (Hispanic-Other). We assessed findings by parent-reported ASD severity level and adjusted for family sociodemographics. ASD prevalence estimates were 15.3 (NHW), 10.4 (NHB), 14.1 (Hispanic-English), and 5.2 (Hispanic-Other) per 1000 children. Mean diagnosis age was comparable across racial/ethnic/language groups for 3-4-year-olds. For 5-17-year-olds, diagnosis age varied by race/ethnicity/language and also by ASD severity. In this group, NHW children with mild/moderate ASD had a significantly higher proportion (50.8 %) of later diagnoses than NHB (33.5 %) or Hispanic-Other children (18.0 %). However, NHW children with severe ASD had a comparable or lower (albeit non-significant) proportion (16.4 %) of later diagnoses than NHB (37.8 %), Hispanic-English (30.8 %), and Hispanic-Other children (12.0 %). While NHW children have comparable ASD prevalence and diagnosis age distributions as Hispanic-English children, they have both higher prevalence and proportion of later diagnoses than NHB and Hispanic-Other children. The diagnosis age findings were limited to mild/moderate cases only. Thus, the prevalence disparity might be primarily driven by under-representation (potentially under-identification) of older children with mild/moderate ASD in the two minority groups.

Developing Sampling Weights for Statistical Analysis of Parent-Child Pair Data From the National Health Interview Survey.

The National Health Interview Survey (NHIS), conducted by the National Center for Health Statistics since 1957, is the principal source of information on the health of the U.S. civilian noninstitutionalized population. NHIS selects one adult (Sample Adult) and, when applicable, one child (Sample Child) randomly within a family (through 2018) or a household (2019 and forward). Sampling weights for the separate analysis of data from Sample Adults and Sample Children are provided annually by the National Center for Health Statistics. A growing interest in analysis of parent-child pair data using NHIS has been observed, which necessitated the development of appropriate analytic weights. Objective This report explains how dyad weights were created such that data users can analyze NHIS data from both Sample Children and their mothers or fathers, respectively. Methods Using data from the 2019 NHIS, adult-child pair-level sampling weights were developed by combining each pair's conditional selection probability with their household-level sampling weight. The calculated pair weights were then adjusted for pair-level nonresponse, and large sampling weights were trimmed at the 99th percentile of the derived sampling weights. Examples of analyzing parent-child pair data by means of domain estimation methods (that is, statistical analysis for subpopulations or subgroups) are included in this report. Conclusions The National Center for Health Statistics has created dyad or pair weights that can be used for studies using parent-child pairs in NHIS. This method could potentially be adapted to other surveys with similar sampling design and statistical needs.

Underinsurance among children in the United States.

BACKGROUND: Recent interest in policy regarding children's health insurance has focused on expanding coverage. Less attention has been devoted to the question of whether insurance sufficiently meets children's needs. METHODS: We estimated underinsurance among U.S. children on the basis of data from the 2007 National Survey of Children's Health (sample size, 91,642 children) regarding parents' or guardians' judgments of whether their children's insurance covered needed services and providers and reasonably covered costs. Data on adequacy were combined with data on continuity of insurance coverage to classify children as never insured during the past year, sometimes insured during the past year, continuously insured but inadequately covered (i.e., underinsured), and continuously insured and adequately covered. We examined the association between this classification and five overall indicators of health care access and quality: delayed or forgone care, difficulty obtaining needed care from a specialist, no preventive care, no developmental screening at a preventive visit, and care not meeting the criteria of a medical home. RESULTS: We estimated that in 2007, 11 million children were without health insurance for all or part of the year, and 22.7% of children with continuous insurance coverage--14.1 million children--were underinsured. Older children, Hispanic children, children in fair or poor health, and children with special health care needs were more likely to be underinsured. As compared with children who were continuously and adequately insured, uninsured and underinsured children were more likely to have problems with health care access and quality. CONCLUSIONS: The number of underinsured children exceeded the number of children without insurance for all or part of the year studied. Access to health care and the quality of health care are suboptimal for uninsured and underinsured children. (Funded by the Health Resources and Services Administration.)

State-based and demographic variation in parent-reported medication rates for attention-deficit/hyperactivity disorder, 2007-2008.

Medication is the most effective treatment of attention-deficit/hyperactivity disorder (ADHD), a common neurobehavioral disorder of childhood. We used data from the 2007-2008 National Survey of Children's Health to calculate weighted estimates of parent-reported ADHD and medication treatment among US children aged 4 to 17 years, by state and sex-stratified age. State-based rates of ADHD medication treatment ranged from 33% in Nevada to 79% in Mississippi; rates of medicated ADHD were higher among boys than girls at every age. State-based investigations of ADHD medication treatment factors are needed, and our findings may inform these public health efforts.

Diagnosed Developmental Disabilities in Children Aged 3-17 Years: United States, 2019-2021.

Developmental disabilities are common in children in the United States, and the prevalence has increased in recent years (1). Timely estimates are necessary to assess the adequacy of services and interventions that children with developmental disabilities typically need (2). This report provides updated prevalence estimates for diagnosed autism spectrum disorder, intellectual disability, and other developmental delay among children aged 3-17 years from the 2019-2021 National Health Interview Survey (NHIS), with differences in prevalence examined between years and by sex, age group, and race and Hispanic origin. Estimates are also presented for any developmental disability, defined as having had one or more of these three diagnoses.

Assessing the Validity of the Baby Pediatric Symptom Checklist Using a Nationally Representative Household Survey.

OBJECTIVE: The Baby Pediatric Symptom Checklist (BPSC) is a screening tool developed for detecting behavioral or emotional concerns among parents of children younger than 18 months. Nationally representative survey data have not yet been used to assess the validity of the BPSC, nor to evaluate its appropriateness for use among children between 18 and 23 months old. The current study assesses the validity of the BPSC using data from the National Health Interview Survey (NHIS). METHODS: Data from the 2019 NHIS were used to evaluate the 12-item BPSC screening tool among a nationally representative sample of children 2 to 23 months. Confirmatory factor analysis (CFA) and differential item functioning (DIF) were used to assess construct and predictive validity and test how response items differed by selected sociodemographics. Quantile regression was used to calculate 50th, 70th, and 90th percentiles for age-based normative curves of the previously established domains of irritability, inflexibility, and difficulty with routines. RESULTS: A 3-factor CFA produced comparable results to the original study. Tests of DIF did not reveal any significant effects for the child's sex, race and Hispanic origin, household urbanization level, number of children in family, or respondent type (mother, father, other). In addition, DIF was not found between children aged 2 to 17 months and 18 to 23 months. Age-based normative data were calculated for each subscale. CONCLUSIONS: The use of the BPSC in a nationally representative survey produced findings comparable to those of the original-validation study. The NHIS can be used to track BPSC scores over time at the population-level.

Nonresponse in the National Survey of Children's Health, 2007.

OBJECTIVES: For random-digit-dial telephone surveys, the increasing difficulty in contacting eligible households and obtaining their cooperation raises concerns about the potential for nonresponse bias. This report presents an analysis of nonresponse bias in the 2007 National Survey of Children's Health, a module of the State and Local Area Integrated Telephone Survey conducted by the Centers for Disease Control and Prevention's National Center for Health Statistics. METHODS: An attempt was made to measure bias in six key survey estimates using four different approaches: comparison of response rates for subgroups, use of sampling frame data, study of variation within the existing survey, and comparison of survey estimates with similar estimates from another source. RESULTS: Even when nonresponse-adjusted survey weights were used, the interviewed population was more likely to live in areas associated with higher levels of home ownership, lower home values, and greater proportions of non-Hispanic white persons when compared with the nonresponding population. Bias was found (although none greater than 3%) in national estimates of the proportion of children in excellent or very good health, those with consistent health insurance coverage, and those with a medical home. However, the level and direction of the bias depended on the approach used to measure it. There was no evidence of significant bias in the proportion of children with preventive medical care visits, those with families who ate daily meals together, or those living in safe neighborhoods.

Assessing Anxiety and Depression: A Comparison of National Health Interview Survey Measures.

Objective-This report examines differences across two different sets of measures used to assess anxiety and depression in the National Health Interview Survey (NHIS).

Anxiety and depression symptoms among children before and during the COVID-19 pandemic.

PURPOSE: The COVID-19 pandemic caused disruptions to children's daily lives due in part to stay-at-home orders and school closures, reducing interactions with both peers and extended family. Yet, few studies with nationally representative data have explored the potential association of the COVID-19 pandemic and children's mental health. METHODS: The current study analyzed data from the 2019 and 2020 National Health Interview Survey (NHIS) to describe changes in the prevalence of symptoms of anxiety and depression before and during the first year of the pandemic among children aged 5-17 years. Changes in prevalence by child- and family-level characteristics were also examined. RESULTS: During the COVID-19 pandemic, nearly one in six children aged 5-17 years had daily or weekly symptoms of anxiety or depression, a significant increase from before the COVID-pandemic (16.7% (95% CI:15.0-18.6) versus 14.4% (95% CI:13.4-15.3)). Males, children 5-11 years, non-Hispanic children, children living in families in large metropolitan areas, incomes at or below the federal poverty level, and whose highest educated parent had more than a HS education, also showed statistically significant increases in anxiety and depression symptoms. CONCLUSIONS: NHIS data may be used to monitor this increase in mental health symptomatology and assist in identifying children at risk.