Evidence map›Paper›PMID 41361945›Full record

ArticlePsychological medicine2025

Prevalence, Correlates, and Treatment: Epidemiological Survey of Common Mental Disorders Based on DSM-5 in Beijing,China.

Lili Shang, Ling Zhang, Yanjie Zhao, Anan Cong, Peipei Xu, Ping Lv, Hua Ding, Haibo Wang, Qingzhi Huang, Jingyuan Li and 1 more

Abstract read
In one paragraph

Article in Psychological medicine, 2025. 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

11 authors.

Lili ShangBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.ORCID 0009-0003-5996-5333
Ling ZhangBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Yanjie ZhaoBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-3989-9386
Anan CongBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-8884-2808
Peipei XuBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.ORCID 0009-0008-3246-8413
Ping LvInstitute of Social Science Survey, https://ror.org/02v51f717Peking University, Beijing, China.
Hua DingInstitute of Social Science Survey, https://ror.org/02v51f717Peking University, Beijing, China.
Haibo WangClinical Research Institute, https://ror.org/02v51f717Peking University, Beijing, China.ORCID 0000-0003-4726-8939
Qingzhi HuangBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Jingyuan LiBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
Gang WangBeijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-3949-1188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate and up-to-date epidemiological data on the prevalence and treatment of common mental disorders are essential for evidence-based healthcare policy and resource allocation. However, large-scale, representative epidemiological surveys on common mental disorders in China-particularly those incorporating insomnia disorder and applying the latest diagnostic criteria alongside validated assessment tools-remain notably lacking.

methodsWe conducted a population-based, cross-sectional epidemiological survey to assess the prevalence and treatment of common mental disorders among adults in Beijing, China, using a multistage clustered probability sampling design (

resultsAmong all lifetime mental disorders assessed, depressive disorders constituted the most prevalent diagnostic category (7.7%), with major depressive disorder representing the most common specific diagnosis (5.4%). Individuals aged 65 years and older exhibited significantly higher 1-month prevalence of both depressive disorders and insomnia disorder compared with younger age groups. Alcohol-related disorder was more prevalent in men than in women, and in urban residents than in rural residents. Help-seeking patterns revealed a predominant reliance on informal support over professional services among individuals with lifetime mental disorders. Only 13.4% sought help from mental health professionals, and 12.7% received mental health professional treatment.

conclusionsThe improved access to treatment did not translate into a reduction in population-level mental disorder prevalence, which may be attributable to the low rate of professional mental health treatment. Governments must optimize mental healthcare access.

Indexed as

Mental DisordersSleep Initiation and Maintenance DisordersAdolescentAdultAgedBeijingChinaCross-Sectional StudiesDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMajor Depressive DisorderMaleMiddle AgedPrevalenceRural Populationepidemiological surveyhelp-seekingmental disordersprevalencetreatment

Identifiers

PMID41361945
PMCPMC13058634

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.