Evidence map›Paper›PMID 41928857›Full record

ArticleDepression and anxiety2026

Healthcare Services and Burden of the Top Two Mental Disorders Among Women of Childbearing Age Across 204 Countries and Territories, 1990-2021.

Chen Chen, Ning Huang, Xinglin Feng, Bingqian Wang, Qi Jiang, Ban Hu, Mingyu Zhang, Zheng Liu, Jing Guo

Abstract read
In one paragraph

Article in Depression and anxiety, 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

9 authors.

Chen ChenDepartment of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China, pku.edu.cn.ORCID https://orcid.org/0000-0003-0830-2161
Ning HuangDepartment of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China, pku.edu.cn.ORCID https://orcid.org/0000-0003-3010-0224
Xinglin FengDepartment of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China, pku.edu.cn.ORCID https://orcid.org/0000-0003-3588-1859
Bingqian WangDepartment of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China, pku.edu.cn.ORCID https://orcid.org/0009-0005-5734-0342
Qi JiangDepartment of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China, pku.edu.cn.ORCID https://orcid.org/0009-0003-8848-3851
Ban HuDepartment of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China, pku.edu.cn.ORCID https://orcid.org/0009-0009-0601-313X
Mingyu ZhangDepartment of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China, pku.edu.cn.ORCID https://orcid.org/0009-0004-7006-6926
Zheng LiuDepartment of Maternal and Child Health, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China, pku.edu.cn.ORCID https://orcid.org/0000-0002-0405-2348
Jing GuoDepartment of Health Policy and Management, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China, pku.edu.cn.ORCID https://orcid.org/0000-0001-8085-0117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mental health is a global health concern, particularly the burden among women of childbearing age (WCBA). We aimed to investigate the patterns and trends of the top two common mental disorders among WCBA from 1990 to 2021. Methods: Data were retrieved from the Global Burden of Disease Study 2021. The temporal trends were examined using joinpoint regression analysis. We utilized local regression smoothing models to fit the curves for correlations between age-standardized rates (ASRs) and sociodemographic index (SDI) and Spearman correlation analysis to examine the correlations with health-related indexes. Findings: The top two common mental disorders were depressive and anxiety disorders. The ASRs worldwide fluctuated and increased from 1990 to 2021. Annual percentage changes of ASRs of depressive disorders indicated increasing trends in high SDI regions, while those of anxiety disorders increased in regions with middle SDI, low-middle SDI, and low SDI. The 45-49 age group showed the highest global prevalence rate for depressive disorders in 2021. Joinpoint analysis revealed upward trends in depressive disorders' ASRs, with the most notable increase during the 2019-2021 period, consistent with anxiety disorders. The associations between ASRs and SDI exhibited different patterns. The incidence of depressive and anxiety disorders showed significant correlations with various health-related indexes. Conclusions: The global burdens of depressive and anxiety disorders among WCBA showed rising trends, and patterns differed in age and time period, underscoring the urgent need for targeted prevention and healthcare strategies to mitigate the burden among WCBA worldwide.

Indexed as

Anxiety DisordersCost of IllnessDepressive DisorderGlobal Burden of DiseaseGlobal HealthAdolescentAdultFemaleHumansMiddle AgedPrevalenceYoung Adultanxiety disordersdepressive disordersGlobal Burden of Disease Studywomen of childbearing age

Identifiers

PMID41928857
PMCPMC13042365

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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.