Evidence map›Paper›PMID 32691081›Full record

ArticleSocial psychiatry and psychiatric epidemiology2020

Schizophrenia and education in Chinese metropolises: a population-based study.

Yanan Luo, Ping He, Lei Zhang, Lihua Pang, Chao Guo, Richard Liang, Xiaoying Zheng

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Article in Social psychiatry and psychiatric epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yanan LuoInstitute of Population Research, Peking University, No. 5 Yiheyuan Road Haidian District, Beijing, 100871, People's Republic of China.
Ping HeChina Center for Health Development Studies, Peking University, Beijing, China.
Lei ZhangInstitute of Population Research, Peking University, No. 5 Yiheyuan Road Haidian District, Beijing, 100871, People's Republic of China.
Lihua PangInstitute of Population Research, Peking University, No. 5 Yiheyuan Road Haidian District, Beijing, 100871, People's Republic of China.
Chao GuoInstitute of Population Research, Peking University, No. 5 Yiheyuan Road Haidian District, Beijing, 100871, People's Republic of China.
Richard LiangDepartment of Integrative Biology and Physiology, University of California, Los Angeles, USA.
Xiaoying ZhengInstitute of Population Research, Peking University, No. 5 Yiheyuan Road Haidian District, Beijing, 100871, People's Republic of China. xzheng@pku.edu.cn.

Funding

China Postdoctoral Science Foundation 2019M660344National Natural Science Foundation of China Grant No. 71661167003State Key Funds of Social Science Project of China Grant No. 09&ZD072
6 · The paper itself

Abstract

objectiveSchizophrenia is a public concern in metropolises. Increases in city size may strengthen the correlation between prevalence of schizophrenia and indices of socioeconomic status, such as education. This study used population-based data of adults to investigate the association between education and schizophrenia in Chinese metropolises and its differences between inner city areas and outer suburbs.

methodsData was obtained from the Second China National Sample Survey on Disability in 2006, and analysis was restricted to 189,143 participants aged 18 years or older in all counties (districts) of Beijing, Shanghai, and Tianjin. Schizophrenia diagnoses were ascertained according to the International Statistical Classification of Diseases, 10th Revision. Logistic regression models were fitted to examine the association between education and schizophrenia.

resultsAn inverse U-shaped pattern between education and schizophrenia was found in inner city areas of Chinese metropolises. Compared with the primary school or below group, the odds ratios of junior high school group and senior high school or above group was 2.79 (95% CI 1.96, 3.96) and 1.45(95% CI 0.99, 2.13), respectively. In outer suburbs, junior high school (OR = 0.87, 95% CI 0.63, 1.19) and senior high school or above groups (0.58, 95% CI 0.38, 0.87) were less likely to develop schizophrenia than the primary school or below group.

conclusionsThis study showed an association between education and schizophrenia in Chinese metropolises. In inner city areas, the association was an inverse U-shaped pattern between education and schizophrenia, whereas in suburban areas, the association was a negative linear pattern. Our findings can help identify high-risk populations of schizophrenia in Chinese metropolises. Programs for prevention and early intervention of schizophrenia will need to consider the socioeconomic disparities between inner city and outer suburban areas. Public policies can help improve mental health by developing social security for migrants in inner city areas and promoting regional equality.

Indexed as

SchizophreniaAdolescentAdultAsian PeopleBeijingChinaHumansSocial ClassEducationInner city areasMetropolisOuter suburbsSchizophrenia

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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.