Evidence map›Paper›PMID 32200431›Full record

ArticleSocial psychiatry and psychiatric epidemiology2020

Schizophrenia, social support, caregiving burden and household poverty in rural China.

Yue-Hui Yu, Man-Man Peng, Xue Bai, Wei Luo, Xin Yang, Jun Li, Bo Liu, Graham Thornicroft, Cecilia Lai Wan Chan, Mao-Sheng Ran

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In one paragraph

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 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  16. Quality of life among family caregivers of people with schizophrenia in rural China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
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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 at 6 institutions in 3 countries.

Yue-Hui YuDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.
Man-Man PengDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.
Xue BaiDepartment of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Wei LuoXinjin Second People's Hospital, Xinjin, 611432, Chengdu, China.
Xin YangGuangyuan Mental Health Center, Guangyuan, 628000, China.
Jun LiSichuan Veteran Hospital, Yuantong, Sichuan, China.
Bo LiuJingzhou Mental Health Center, Jingzhou, 434000, Hubei, China.
Graham ThornicroftCentre for Global Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Cecilia Lai Wan ChanDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China.
Mao-Sheng RanDepartment of Social Work and Social Administration, The University of Hong Kong, Hong Kong, China. msran@hku.hk.ORCID http://orcid.org/0000-0001-7343-3729
University of Hong Kong · HKHong Kong Polytechnic University · HKJingzhou Central Hospital · CNKing's College London · GBSichuan Provincial Hospital of Traditional Chinese Medicine · CNXian Yang Central Hospital · CN

Funding

Medical Research Council MR/R023697/1Mental Health Research in Chengdu, China Dept. Matching Fund, 2015-2017Seed Funding Programme for Applied Research HKU, 2014-2016Seed Funding Programme for Basic Research HKU, 2014-2016Strategic Research Theme (SRT): Contemporary China Seed Funding HKU, 2014-2016
6 · The paper itself

Abstract

purposeHousehold poverty associated with schizophrenia has been long described. However, the mechanisms by which schizophrenia may have influenced the economic status of a household in rural communities are still unclear. This study aimed to test an integrated model of schizophrenia, social support and caregiving burden on household poverty in a rural community in China.

methodsA mental health survey using identical methods and ICD-10 was conducted in six townships of Xinjin County (population ≥ 15 years old, n = 152,776), Chengdu, China in 2015. Identified persons with schizophrenia (n = 661) and their caregivers completed a joint questionnaire of sociodemographic information, illness conditions, social support and caregiving burden. Descriptive analysis was applied first to give an overview of the dataset. Then, multivariable regression analyses were conducted to examine the associative factors of social support, caregiving burden and household income. Then, structural equation modeling (SEM) was used to estimate the integrated model of schizophrenia, social support, caregiving burden and household income.

resultsHouseholds with patient being female, married, able to work and having better social function were better off. Larger household size, higher social support and lower caregiving burden also had salient association with higher household income. The relationship between schizophrenia and household poverty appeared to be mediated by the impacts of schizophrenia on social support and caregiving burden.

conclusionThere was a strong association between schizophrenia and household poverty, in which social support and caregiving burden may had played significant roles on mediating it. More precise poverty alleviation policies and interventions should focus on supporting recovery for persons with schizophrenia, as well as on increasing social support and on reducing family caregiving burden.

Indexed as

Rural PopulationSchizophreniaCaregiversChinaCost of IllnessFemaleHumansPovertySocial SupportCaregiving burdenHousehold povertyRural ChinaSchizophreniaSocial support

Identifiers

PMID32200431
OpenAlexW3011704481

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.