Skip to main content
JAMA Network logoLink to JAMA Network
. 2023 Oct 4;6(10):e2336872. doi: 10.1001/jamanetworkopen.2023.36872

Prevalence and Trends in Diagnosed ADHD Among US Children and Adolescents, 2017-2022

Yanmei Li 1, Xiaofang Yan 1, Qishan Li 1, Qian Li 1, Guifeng Xu 2, Jinhua Lu 3,, Wenhan Yang 1,
PMCID: PMC10551769  PMID: 37792379

Abstract

This cross-sectional study estimates prevalence and trends of ADHD diagnosis among US children and adolescents from 2017 to 2022.

Introduction

Attention-deficit hyperactivity disorder (ADHD) is the most common childhood-onset neurodevelopmental disorder, characterized by persistent and impairing inattention, hyperactivity, and impulsivity, with a high prevalence among US children and considerable implications for individuals and families.1,2 Studies have found that prevalence of ADHD increased from 1997 to 2016 in US children. An analysis of the National Health Interview Survey (NHIS)2 reported that the prevalence of ADHD among children increased from 6.1% in 1997 to 1998 to 10.2% in 2015 to 2016. Similarly, the National Survey of Children’s Health showed a 42.0% increase from 2003 to 2011.3 However, the latest prevalence has not been updated in the past 6 years. The aim of this study was to estimate the prevalence and trends of ADHD among children and adolescents in the US in 2017 to 2022.

Methods

Data for this cross-sectional study were obtained from the NHIS, 2017 to 2022, a nationally representative cross-sectional survey using multistage, stratified sampling.4 Information about ADHD diagnosed by a physician or other health professional was reported by a parent or guardian. The final sample child and adolescent response rate was 45.8% to 60.6% from 2017 to 2022. The Guangdong Pharmaceutical University academic review board deemed the study exempt from review because of the use of deidentified data. The NHIS has been approved by the National Center for Health Statistics ethics review board, and all respondents provided verbal informed consent before participation. The study followed the STROBE reporting guideline.

The weighted prevalence of ADHD among individuals in the US aged 4 to 17 years from 2017 to 2022 was calculated based on the complex sampling design following NHIS statistical guidelines.5 P values for overall differences across strata were calculated using χ2 tests. Trends in prevalence over time were tested using a weighted logistic regression model, which adjusted for age, sex, race and ethnicity, family educational level, and family income-to-poverty ratio. Race and ethnicity were self-reported in the survey and were assessed to gather demographic information for health care research and investigate health disparities. Statistical analyses were conducted using survey procedures in SAS statistical software version 9.4 (SAS Institute). A 2-sided P < .05 was considered statistically significant.

Results

A total of 37 609 individuals aged 4 to 17 years (18 185 female [48.35%] and 19 424 male [51.65%]; 9030 Hispanic [24.01%], 4119 non-Hispanic Black [10.95%], 19 816 non-Hispanic White [52.69%], and 4644 non-Hispanic other race [12.35%]) were included. Among them, 4098 children and adolescents (10.90%) were reported to have ever been diagnosed with ADHD. The weighted prevalence of ADHD was 10.20% (95% CI, 9.54%-10.87%) in 2017 to 2018, 10.08% (95% CI, 9.33%-10.83%) in 2019 to 2020, and 10.47% (95% CI, 9.81%-11.13%) in 2021 to 2022. There were significant differences in prevalence by age, sex, race and ethnicity, and family income-to-poverty ratio (Table).

Table. Prevalence of Diagnosed ADHD Among Children and Adolescents, 2017-2022.

Characteristic 2017-2018 2019-2020 2021-2022
Participants with ADHD P valuec Participants with ADHD P valuec Participants with ADHD P valuec P for trendd
No./totala % (95% CI)b No./totala % (95% CI)b No./totala % (95% CI)b
Overall 1459/13 434 10.20 (9.54-10.87) NA 1256/11 785 10.08 (9.33-10.83) NA 1383/12 390 10.47 (9.81-11.13) NA .93
Age, y
4-11 582/7122 7.85 (7.09-8.61) <.001 475/5893 7.66 (6.71-8.61) <.001 514/6427 7.54 (6.79-8.30) <.001 .46
12-17 877/6312 13.36 (12.32-14.39) 781/5892 13.15 (11.99-14.30) 869/5963 14.16 (13.09-15.23) .39
Sex
Male 1020/7001 13.71 (12.69-14.74) <.001 856/6048 13.12 (12.07-14.16) <.001 903/6375 13.42 (12.39-14.45) <.001 .46
Female 439/6433 6.59 (5.87-7.32) 400/5737 6.92 (6.02-7.81) 480/6015 7.38 (6.68-8.09) .19
Race and ethnicitye
Hispanic 230/3043 7.46 (6.29-8.63) <.001 230/2780 7.86 (6.61-9.11) <.001 263/3207 8.07 (6.91-9.22) <.001 .89
Non-Hispanic Black 196/1544 11.96 (9.90-14.01) 131/1299 9.51 (7.42-11.59) 143/1276 10.76 (8.58-12.94) .30
Non-Hispanic White 911/7308 11.57 (10.70-12.44) 794/6323 11.81 (10.73-12.89) 869/6185 12.43 (11.52-13.33) .45
Otherf 122/1539 7.88 (6.18-9.57) 101/1383 7.41 (5.65-9.16) 108/1722 6.59 (5.25-7.94) .12
Highest educational level of family members
<High school 145/1196 10.98 (8.96-13.00) .39 81/763 8.96 (6.26-11.67) .47 86/760 10.39 (7.85-12.93) .50 .82
High school 224/1913 10.96 (9.27-12.66) 202/1753 10.97 (9.10-12.85) 227/1899 11.36 (9.65-13.07) .85
≥College 1089/10 308 9.96 (9.21-10.72) 972/9258 10.01 (9.17-10.86) 1067/9715 10.29 (9.57-11.01) .95
Missing 1/17 4.68 (<0.01-13.97) NA 1/11 15.03 (<0.0141.55) NA 3/16 13.43 (<0.01-28.64) NA NA
Family income-to-poverty ratiog
<1.00 224/1484 12.98 (11.03-14.94) <.001 216/1473 13.71 (11.45-15.97) <.001 218/1475 13.27 (11.13-15.40) .002 .98
1.00-1.99 281/2254 11.89 (10.36-13.41) 294/2421 11.10 (9.55-12.65) 283/2539 10.59 (9.27-11.90) .14
2.00-3.99 363/3486 9.39 (8.17-10.61) 360/3687 8.49 (7.39-9.59) 377/3713 9.56 (8.47-10.65) .42
≥4.00 409/4177 9.43 (8.35-10.52) 386/4204 8.97 (7.87-10.08) 505/4663 9.90 (8.87-10.92) .44
Missing 182/2033 8.54 (7.09-10.00) NA NA NA NA NA NA NA NA

Abbreviations: ADHD, attention-deficit hyperactivity disorder; NA, not applicable.

a

The number of participants was unweighted.

b

Prevalence of ADHD was weighted.

c

P value for overall differences in prevalence by stratum.

d

P for trend was calculated using a weighted logistic regression model, which included survey cycle as a continuous variable and was adjusted for age, sex, race and ethnicity, family educational level, and family income.

e

Race and ethnicity were self-reported and classified based on the 1997 Office of Management and Budget standards. Categories in the survey were Hispanic (multiple Hispanic; Puerto Rico; Mexican; Mexican American; Dominican [Republic]; Central or South American; other Latin American, type not specified; other Spanish; Hispanic/Latino/Spanish, nonspecific type; Hispanic/Latino/Spanish, type refused; Hispanic/Latino/Spanish, type not ascertained), not Hispanic/Spanish origin, non-Hispanic Black (non-Hispanic Black/African American only), non-Hispanic White (non-Hispanic White only), and other.

f

Other races and ethnicities included non-Hispanic American Indian or Alaska Native (individual only), non-Hispanic American Indian or Alaska Native and any other group, non-Hispanic Asian (individual only), and other single and multiple races or declined to respond, no response, or unknown.

g

The ratio is the total family income divided by the poverty threshold.

Prevalence had no significant change annually (10.00% [95% CI, 9.11%-10.90%] in 2017; 10.80% [95% CI, 9.83%-11.76%] in 2022; P for trend = .31). All subgroups evaluated also showed no significant change in prevalence from 2017 to 2022 (Figure).

Figure. Trends in Prevalence of Attention-Deficit Hyperactivity Disorder (ADHD), 2017-2022.

Figure.

Prevalence estimates were weighted and are among children and adolescents aged 4 to 17 years. The weighted prevalence of ADHD was 10.00% (95% CI, 9.11%-10.90%) in 2017, 10.41% (95% CI, 9.42%-11.39%) in 2018, 9.34% (95% CI, 8.51%-10.16%) in 2019, 10.83% (95% CI, 9.61%-12.04%) in 2020, 10.14% (95% CI, 9.33%-10.96%) in 2021, and 10.80% (95% CI, 9.83%-11.76%) in 2022. P for trend was calculated using a weighted logistic regression model, which included survey year as a continuous variable and was adjusted for age (4-17 years: P = .31; 6-11 years: P = .79; 12-17 years: P = .07), sex (female: P = .04; male: P = .95), race and ethnicity (Hispanic: P = .52; non-Hispanic Black: P = .08; non-Hispanic White: P = .55; other: P = .46), family income-to-poverty ratio (<1.00: P = .61; 1.00-1.99: P = .30; 2.00-3.99: P = .35; ≥4.00: P = .11), and highest educational level of family members (<high school: P = .74; high school: P = .50; ≥college: P = .33). Other races and ethnicities included non-Hispanic American Indian or Alaska Native (individual only), non-Hispanic American Indian or Alaska Native and any other group, non-Hispanic Asian (individual only), and other single and multiple races or declined to respond, no response, or unknown. The family income-to-poverty ratio is the total family income divided by the poverty threshold.

Discussion

Based on US national representative data, the estimated ADHD prevalence was 10.08% to 10.47% among children and adolescents aged 4 to 17 years from 2017 to 2022, which was similar to the prevalence from the NHIS in 2015 to 2016 (10.20%).2 No significant annual change in the prevalence of ADHD was found from 2017 to 2022. Notably, the estimated prevalence of ADHD among individuals in the US in this study was higher than worldwide estimates (5.3%) in earlier years (1978-2005).6 The prevalence of ADHD differed significantly by age, sex, race and ethnicity, and family income-to-poverty ratio, consistent with previous study findings.2,3

This study has some limitations. First, information on ADHD provided by parents may lead to misreporting and recall bias. Second, the NHIS underwent a major redesign in 2019, which may affect comparability with prior years, and the COVID-19 pandemic affected data collection in 2020, which may also affect survey estimates. Given that the estimated ADHD prevalence was still high, further investigation is warranted to assess potentially modifiable risk factors and provide adequate resources for treatment of individuals with ADHD in the future.

Supplement.

Data Sharing Statement

References

  • 1.Thapar A, Cooper M. Attention deficit hyperactivity disorder. Lancet. 2016;387(10024):1240-1250. doi: 10.1016/S0140-6736(15)00238-X [DOI] [PubMed] [Google Scholar]
  • 2.Xu G, Strathearn L, Liu B, Yang B, Bao W. Twenty-year trends in diagnosed attention-deficit/hyperactivity disorder among US children and adolescents, 1997-2016. JAMA Netw Open. 2018;1(4):e181471. doi: 10.1001/jamanetworkopen.2018.1471 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Visser SN, Danielson ML, Bitsko RH, et al. Trends in the parent-report of health care provider-diagnosed and medicated attention-deficit/hyperactivity disorder: United States, 2003-2011. J Am Acad Child Adolesc Psychiatry. 2014;53(1):34-46.e2. doi: 10.1016/j.jaac.2013.09.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Moriarity C, Parsons VL, Jonas K, Schar BG, Bose J, Bramlett MD. Sample Design and Estimation Structures for the National Health Interview Survey, 2016-2025. Vital Health Stat 1. 2022;2(191):1-30. doi: 10.15620/cdc:115394 [DOI] [PubMed] [Google Scholar]
  • 5.National Center for Health Statistics . National health interview survey: methods. US Centers for Disease Control and Prevention. Accessed July 14, 2023. https://www.cdc.gov/nchs/nhis/methods.htm
  • 6.Polanczyk G, de Lima MS, Horta BL, Biederman J, Rohde LA. The worldwide prevalence of ADHD: a systematic review and metaregression analysis. Am J Psychiatry. 2007;164(6):942-948. doi: 10.1176/ajp.2007.164.6.942 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement.

Data Sharing Statement


Articles from JAMA Network Open are provided here courtesy of American Medical Association

RESOURCES