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Hierarchical and nested associations of suicide with marriage, social support, quality of life, and depression among the elderly in rural China

Machine learning of psychological autopsy data

Bibliographic Data

ID15525876
AuthorsXinguang Chen (0000-0001-8263-643X, Xi'an Jiaotong University), Qiqing Mo (Guangxi Medical University), Bin Yu (0000-0001-6980-7345, Wuhan University), Xinyu Bai (0000-0002-0910-758X, The People's Hospital of Guangxi Zhuang Autonomous Region), Cun-Xian Jia (0000-0002-2651-147X, Shandong University), Liang Zhou (0000-0003-4374-2242, Guangzhou Medical University, corresponding author), Zhenyu Ma (0000-0002-7984-1827, Guangxi Medical University, corresponding author)
Year2022
Volume13
Pages1000026-1000026
Publication date2022-09-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2022.1000026
PMID36226103
OpenAlexW4297236390
LanguageEN
Citations received1
References cited46

Associations between the key factors and suicide death for Chinese rural elderly are not linear and parallel but hierarchically nested that could not be effectively detected using conventional statistical methods. Findings of this study provide new and compelling evidence supporting tailored suicide prevention interventions at the familial, clinical and community levels

Depression (economics · Environmental health · Injury prevention · Logistic regression · Marital status · Medical emergency · Multilevel model · Poison control · Population · Psychiatry · Quality of life (healthcare · Social support · Suicide attempt · Suicide prevention · Demography · Health disparities and outcomes · Medicine · Mental Health Treatment and Access · Psychology · Suicide and Self-Harm Studies · Gerontology · Internal Medicine

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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