Evidence map›Paper›PMID 41271619›Full record

ArticleTranslational psychiatry2025

The impact of the COVID-19 pandemic on the global burden of mental disorders: a counterfactual modeling study from 1990 to 2021.

Mengsha Chen, Jiani Miao, Can Chen, Rongrong Qu, Wenkai Zhou, Jiaxing Qi, Kexin Cao, Xiaoyue Wu, Yinuo Wang, Yi Yang and 5 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Comparison of depressive symptoms between heterosexual and sexual minority university students: network analysis.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2026
    Article
  3. Article
  4. 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

15 authors.

Mengsha Chen *Department of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Jiani Miao *Department of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Can Chen *Department of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Rongrong QuDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Wenkai ZhouDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Jiaxing QiDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Kexin CaoDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Xiaoyue WuDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Yinuo WangDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Yi YangDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Jingtong ZhouDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Rui YanDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China.
Ning DongDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China. ningdong@zju.edu.cn.
Changtai ZhuDepartment of Transfusion Medicine, Shanghai Sixth People's Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China. zct101@hotmail.com.
Shigui YangDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China. yangshigui@zju.edu.cn.ORCID http://orcid.org/0000-0002-0147-297X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81672005National Natural Science Foundation of China (National Science Foundation of China) 82173577National Natural Science Foundation of China (National Science Foundation of China) U23A20496
6 · The paper itself

Abstract

The COVID-19 pandemic has intensified the global burden of mental disorders, yet the gap between observed and counterfactual burdens without the pandemic, especially for major depressive and anxiety disorders, remains unexplored. To assess this gap, including its impact on specific regions and populations, thereby guiding future mental health services and policy development. Data of age-standardized prevalence rate (ASPR), age-standardized incidence rate (ASIR) and age-standardized disability-adjusted life years rate (ASDR) for mental disorders from 1990 to 2021 were extracted from the Global Burden of Disease dataset. This study employed a counterfactual model that combines Autoregressive Integrated Moving Average and Long Short-Term Memory to assess the impact of the COVID-19 pandemic on the global burden of mental disorders by quantifying the difference between actual and predicted rates. In 2021, mental disorders were more prevalent in higher Social Development Index (SDI) regions such as the North Americas, and European region. During the COVID-19 pandemic (2020-2021), these regions, including countries like Denmark and the United States, saw significant increases in the ASPR, ASIR and ASDR of mental disorders, far exceeding predictions. Globally, the ASIR for men increased from a predicted 3917 to an observed 4435 per 100,000, while for women, it rose from a predicted 5497 to an observed 6382 per 100,000. Specific disorders like major depressive disorder and anxiety disorders showed even larger discrepancies, with ASPR of anxiety disorders exceeding predictions by 1135 and 1043 per 100,000 in Bolivia and Peru, respectively, and ASIR of major depressive disorder in Greenland surpassing predictions by 1156 per 100,000. The pandemic also had a significant impact on mental health across different age groups, with individuals aged 15-40 years experiencing the greatest increase in anxiety and major depressive disorders, particularly among women. In conclusion, during the COVID-19 pandemic, the global burden of mental disorders far exceeded the counterfactual predictions, with major depressive and anxiety disorders showing the largest increases. This underscores the pandemic's severe impact on mental health and the urgent need for enhanced global mental health services, including ongoing evaluation and support.

Indexed as

COVID-19Global Burden of DiseaseMental DisordersAdolescentAdultAgedAnxiety DisordersDisability-Adjusted Life YearsFemaleGlobal HealthHumansIncidenceMajor Depressive DisorderMaleMiddle AgedPrevalence

Identifiers

PMID41271619
PMCPMC12639033

What OpenQuestion holds

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Registered trials

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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.