Evidence map›Paper›PMID 41799464›Full record

ArticleFrontiers in public health2026

Trends in the prevalence and burden of mental disorders among adolescents and young adults, 1990-2021.

Huiyuan Pang, Yixuan Lu, Xianxian Yuan, Ruihua Yang, Yujie Zhang, Xin Yan, Lirui Zhang, Junhua Huang, Wei Zheng, Guanghui Li

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Huiyuan PangDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Yixuan LuDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Xianxian YuanDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Ruihua YangDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Yujie ZhangDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Xin YanDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Lirui ZhangDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Junhua HuangDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Wei ZhengDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
Guanghui LiDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental disorders significantly contribute to the global disease burden, often beginning in childhood and adolescence. This study evaluates trends and disease burdens of mental disorders in individuals aged 10 to 24 from 1990 to 2021. Methods: We utilized data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 to analyze age-standardized prevalence (ASP) and age-standardized disability-adjusted life years (DALYs) for 10 mental disorder categories. Trend analysis employed joinpoint regression and the age-period-cohort model to assess interactions among age, period, and cohort effects while decomposing DALY trends into population growth, aging, and morbidity changes. Results: The ASP of mental disorders rose from 13,824.9 (95% uncertainty intervals [UI]: 12,010.6-15,751.2) per 100,000 in 1990 to 14,764.9 (95% UI: 12,804.9-16,908.1) in 2021. Age-standardized DALYs increased from 1,680.3 (95% UI: 1,215.3-2,226.5) to 1,919.2 (95% UI: 1,370.5-2,564.1). Anxiety disorders had the highest ASP at 4,968.0 (95% UI: 3,639.4-6,612.3) and DALYs at 609.4 (95% UI: 377.5-909.1) in 2021. Significant increases in ASP and DALYs for anxiety and depressive disorders were noted in 2020 and 2021, particularly among females and across all socio-demographic index (SDI) regions, with higher SDI regions experiencing more rapid growth. Conclusion: This study reveals a concerning rise in mental disorders among adolescents and young adults, especially anxiety and depression, with notable accelerations observed in recent years. These trends highlight the urgent need for targeted mental health interventions for this vulnerable group.

Indexed as

Cost of IllnessMental DisordersAdolescentChildDisability-Adjusted Life YearsFemaleGlobal Burden of DiseaseHumansMalePrevalenceYoung AdultadolescentsCOVID-19 impactglobal burden of diseasemental disordersyoung adults

Identifiers

PMID41799464
PMCPMC12960524

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