Evidence map›Paper›PMID 41420113›Full record

ArticleMolecular psychiatry2026

Burden of mental and substance use disorders in China and its provinces, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021.

Yankun Sun, Ziwei Zhang, Shuilin Wu, Yunhe Wang, Arun Ravindran, Janni Leung, Runshen Chen, Zheng Chang, Jie Shi, Jinlei Qi and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Artificial Intelligence in Psychiatric Graduate Medical Education.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yankun Sun *Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Chinese Academy of Medical Sciences Research Unit, Peking University, Beijing, China.
Ziwei Zhang *National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.
Shuilin Wu *National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.
Yunhe Wang *Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Arun RavindranDepartment of Psychiatry and Pharmacology, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-1655-2753
Janni LeungFaculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, Australia.
Runshen ChenVanke School of Public Health, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0003-3398-5750
Zheng ChangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Jie ShiNational Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-6567-8160
Jinlei QiNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. qijinlei@ncncd.chinacdc.cn.
Yanping BaoNational Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China. baoyp@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-1881-0939
Maigeng ZhouNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. maigengzhou@126.com.
Lin LuPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Chinese Academy of Medical Sciences Research Unit, Peking University, Beijing, China. linlu@bjmu.edu.cn.ORCID http://orcid.org/0000-0003-0742-9072

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82288101, 82471550, 82171514
6 · The paper itself

Abstract

Mental and substance use disorders profoundly affect global population health, while there is a notable absence of systematic studies focusing on their burden in the Chinese population. We estimated the burden of Global Burden of Diseases (GBD) 2021 for 10 mental disorders and two types of substance use disorders in China from 1990 to 2021. We presented the numbers and rates of prevalence, disability-adjusted life years (DALYs), years of life lost (YLL) and years lived with disability (YLDs), from national and 33 province-level administrative units in China. In 2021, China contributed 174.4 million prevalent cases (95% uncertainty interval [UI] 162.4-188.4 million) of mental disorders and 27.0 million prevalent cases (23.8-30.7 million) of substance use disorders. The age-standardized DALY rate for mental and substance disorders in China was lower than that in countries with high Socio-demographic Index (SDI) and middle SDI, as well as lower than global level. Depressive disorder and anxiety disorder being the two leading causes, accounting for 61.1% of mental disorder YLDs, and were most prevalent among individuals aged 15 and over. Population growth was an important contributor to the 62.0% increases in DALYs for mental disorder. Regionally, the age-standardized prevalence rates for mental disorders were higher in Eastern China, while substance use disorders were more prevalent in Western regions. These findings showed the burden of mental disorders in China has increased mainly due to the population growth and population aging. The comprehensive prevention and early intervention strategies is urgent to mitigate the burden and the impact for the public.

Indexed as

Mental DisordersSubstance-Related DisordersAdolescentAdultAgedChildChinaCost of IllnessDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansMaleMiddle AgedPrevalenceQuality-Adjusted Life Years

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.