Evidence map›Paper›PMID 41838829›Full record

ArticleNeuroepidemiology2026

Global Statistics of Attention-Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, and Conduct Disorder among School-Age Children from 1990-2021, with Forecasts to 2040.

Pinhao Wang, Yijun Shi, Zhifeng Luo, Youao Zhang, Jieyan Wang

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Article in Neuroepidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Pinhao WangNanfang Hospital, The First Clinical Medical College of Southern Medical University, People's Hospital of Longhua, Shenzhen, China.
Yijun ShiPedagogy, Sichuan Normal University, Chengdu, China.
Zhifeng LuoNanfang Hospital, The First Clinical Medical College of Southern Medical University, People's Hospital of Longhua, Shenzhen, China.
Youao ZhangNanfang Hospital, The First Clinical Medical College of Southern Medical University, People's Hospital of Longhua, Shenzhen, China, 1372330529@qq.com.
Jieyan WangDepartment of Urology, People's Hospital of Longhua, Shenzhen, China, jywsmu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMental disorders among school-age children represent a significant global health issue and substantially contribute to the global disease burden. This study aimed to examine the patterns and trends of attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and conduct disorder (CD), which are commonly observed in school-age children, from 1990 to 2021, offering valuable insights for health policy formulation, medical resource allocation, and optimization of patient management strategies.

methodsWe analyzed data from the Global Burden of Disease (GBD) 2021 study for 21 regions and 204 countries, focusing on prevalence, disability-adjusted life years (DALYs), gender, and different time periods to gain a deeper understanding of the health burden. We assessed correlations with the Socio-demographic Index (SDI) and employed autoregressive integrated moving average modeling to forecast developments up to 2040, enabling us to better comprehend the burden and trends of these mental disorders.

resultsIn 2021, the prevalence rates of ADHD, ASD, and CD per 100,000 population among children aged 5-14 years were 2,374.8, 847.13, and 2,146.48, respectively; DALY rates were 29.17, 162.85, and 262.53, respectively. Compared to 1990, prevalence and DALY rates exhibited changes of -0.06, 0.03, and 0.04, respectively. Australia, Japan, and the UK exhibited particularly notable burdens, with the UK continuing to show rapid growth in ASD, while ADHD and CD increased rapidly in China and India, respectively. Gender and age analyses revealed a higher burden among males. Regions with high SDI displayed higher epidemiological indicators. For the 2040 forecast, the indicators for ADHD in terms of prevalence and DALYs are projected to be 3,796.65 and 44.33 for males, and 1,343.18 and 16.23 for females. For ASD, they are projected to be 1,103.04 and 215.23 for males, and 552.01 and 106.40 for females. For CD, they are projected to be 2,650.69 and 325.64 for males, and 1,593.57 and 200.41 for females.

conclusionThis study underscores the complex epidemiological landscape of ADHD, ASD, and CD, revealing variations in burden across gender and geographical regions. It emphasizes the urgent need for healthcare professionals and policymakers to devise innovative prevention and healthcare strategies based on the current and evolving burden of these mental disorders, with the aim of alleviating the global disease burden.

Indexed as

Attention-deficit/hyperactivity disorderAutism spectrum disorderConduct disorderEpidemiologyGlobal Burden of DiseaseTrend analysis

Identifiers

PMID41838829
PMCPMC13200833

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.