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Individual-level and area-level socioeconomic status (SES) and schizophrenia: cross-sectional analyses using the evidence from 1.9 million Chinese adults by Luo, Yanan; Zhang, Lei; He, Ping; Pang, Lihua; Guo, Chao; Zheng, Xiaoying is a Medicine article available to read on EtoBox.

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## Objectives Health disparities in schizophrenia are well established. However, it is less understood whether area-level socioeconomic status (SES) is differentially associated with schizophrenia depending on individual-level SES. Therefore, using a nationally large representative data, this study investigated the association between individual-level SES, area-level SES and their interaction with schizophrenia in Chinese adults from a multilevel perspective. ## Setting Household interviews in 734 counties (districts), 2980 towns (streets) and 5964 communities (villages) from 31 provinces, People's Republic of China, as part of the cross-sectional survey of Second China National Sample Survey on Disability. ## Participants 1 909 205 men and women aged 18 years old and above. ## Primary and secondary outcome measures A screen followed by clinical diagnosis was used to identify schizophrenia, and schizophrenia was ascertained according to the International Statistical Classification of Diseases, 10th Revision (code F20). ## Results 1-SD increase in individual SES was associated with decreased risk of schizophrenia (__OR__=0.45, __95% CI__ 0.43 to 0.46). 1-SD increase in area-level SE

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Author

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

Publisher

BMJ; BMJ Publishing Group; London: BMJ Publishing (ISSN 2044-6055)

Published

2019

Language

EN

Field

Medicine (Health Sciences)