Evidence map›Paper›PMID 26649171›Full record

ReviewJournal of global health2015

Prevalence of schizophrenia in China between 1990 and 2010.

Kit Yee Chan, Fei-Fei Zhao, Shijiao Meng, Alessandro R Demaio, Craig Reed, Evropi Theodoratou, Harry Campbell, Wei Wang, Igor Rudan, Global Health Epidemiology Reference Group (GHERG)

Abstract readReview
In one paragraph

Review in Journal of global health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 pooled it
–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

55 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  15. Mutation-selection-drift balance models of complex diseases.bioRxiv : the preprint server for biology · 2025
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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.

Kit Yee ChanCentre for Population Health Sciences and Global Health Academy, University of Edinburgh Medical School, Scotland, UK ; World Health Organization's Collaborative Centre for Population Health Research and Training ; Nossal Institute for Global Health, University of Melbourne, Australia ; Joint first authors.
Fei-Fei ZhaoMunicipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China ; Joint first authors.
Shijiao MengMunicipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China ; Joint first authors.
Alessandro R DemaioHarvard Global Equity Initiative, Harvard Medical School, Boston, USA ; Copenhagen School of Global Health, University of Copenhagen, Denmark.
Craig ReedCentre for Population Health Sciences and Global Health Academy, University of Edinburgh Medical School, Scotland, UK ; World Health Organization's Collaborative Centre for Population Health Research and Training.
Evropi TheodoratouCentre for Population Health Sciences and Global Health Academy, University of Edinburgh Medical School, Scotland, UK ; World Health Organization's Collaborative Centre for Population Health Research and Training.
Harry CampbellCentre for Population Health Sciences and Global Health Academy, University of Edinburgh Medical School, Scotland, UK ; World Health Organization's Collaborative Centre for Population Health Research and Training.
Wei WangMunicipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China ; Joint senior authors.
Igor RudanCentre for Population Health Sciences and Global Health Academy, University of Edinburgh Medical School, Scotland, UK ; World Health Organization's Collaborative Centre for Population Health Research and Training ; Joint senior authors.
Global Health Epidemiology Reference Group (GHERG)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDramatic development and changes in lifestyle in many low and middle-income countries (LMIC) over the past three decades may have affected mental health of their populations. Being the largest country and having the most striking record of development, industrialization and urbanization, China provides an important opportunity for studying the nature and magnitude of possible effects.

methodsWe reviewed CNKI, WanFang and PubMed databases for epidemiological studies of schizophrenia in mainland China published between 1990 and 2010. We identified 42 studies that reported schizophrenia prevalence using internationally recognized diagnostic criteria, with breakdown by rural and urban residency. The analysis involved a total of 2 284 957 persons, with 10 506 diagnosed with schizophrenia. Bayesian methods were used to estimate the probability of case of schizophrenia ("prevalence") by type of residency in different years.

findingsIn urban China, lifetime prevalence was 0.39% (0.37-0.41%) in 1990, 0.57% (0.55-0.59%) in 2000 and 0.83% (0.75-0.91%) in 2010. In rural areas, the corresponding rates were 0.37% (0.34-0.40%), 0.43% (0.42-0.44%) and 0.50% (0.47-0.53%). In 1990 there were 3.09 (2.87-3.32) million people in China affected with schizophrenia during their lifetime. The number of cases rose to 7.16 (6.57-7.75) million in 2010, a 132% increase, while the total population increased by 18%. The contribution of cases from urban areas to the overall burden increased from 27% in 1990 to 62% in 2010.

conclusionsThe prevalence of schizophrenia in China has more than doubled between 1990 and 2010, with rates being particularly high in the most developed areas of modern China. This has broad implications, as the ongoing development in LMIC countries may be increasing the global prevalence of schizophrenia.

Indexed as

Bayes TheoremChinaFemaleHumansMalePovertyPrevalenceRisk FactorsRural PopulationSchizophreniaUrban Population

Identifiers

PMID26649171
PMCPMC4663755

What OpenQuestion holds

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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.