Evidence map›Paper›PMID 31488464›Full record

ArticleBMJ open2019

Individual-level and area-level socioeconomic status (SES) and schizophrenia: cross-sectional analyses using the evidence from 1.9 million Chinese adults.

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

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 9% of its field
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

14 citing papers in PubMed, 31 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Yanan LuoInstitute of Population Research, Peking University, Beijing, China.
Lei ZhangInstitute of Population Research, Peking University, Beijing, China.
Ping HeChina Center for Health Development Studies, Peking University, Beijing, China.
Lihua PangInstitute of Population Research, Peking University, Beijing, China.
Chao GuoInstitute of Population Research, Peking University, Beijing, China.
Xiaoying ZhengInstitute of Population Research, Peking University, Beijing, China xzheng@pku.edu.cn.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHealth 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.

settingHousehold 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.

participants1 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).

results1-SD increase in individual SES was associated with decreased risk of schizophrenia (

conclusionsArea-level SES is particularly important to mental health of low SES individuals, with low SES people in high SES counties having the highest risk of schizophrenia than other groups. Action to reduce SES disparities in schizophrenia will require attention to the area-level context of low SES adults.

Indexed as

Social ClassAdultChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultilevel AnalysisResidence CharacteristicsSchizophreniaadultsarea-level SESChinaIndividual-level SESschizophrenia

Identifiers

PMID31488464
PMCPMC6731895
OpenAlexW2972137755

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.