Socio-economic determinants of suicide rates in transforming China: A spatial-temporal analysis from 1990 to 2015
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作者:
Cai, Ziyi
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机构:
Univ Hong Kong, Fac Social Sci, Dept Social Work & Social Adm, Hong Kong, Peoples R ChinaUniv Hong Kong, Fac Social Sci, Dept Social Work & Social Adm, Hong Kong, Peoples R China
Cai, Ziyi
[1
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Chen, Mengni
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机构:
Univ Copenhagen, Dept Sociol, Copenhagen, DenmarkUniv Hong Kong, Fac Social Sci, Dept Social Work & Social Adm, Hong Kong, Peoples R China
Chen, Mengni
[2
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Ye, Pengpeng
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机构:
Chinese Ctr Dis Control & Prevent, Natl Ctr Noncommunicable Dis Control & Prevent, Beijing, Peoples R ChinaUniv Hong Kong, Fac Social Sci, Dept Social Work & Social Adm, Hong Kong, Peoples R China
Ye, Pengpeng
[3
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Yip, Paul S. F.
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机构:
Univ Hong Kong, Fac Social Sci, Dept Social Work & Social Adm, Hong Kong, Peoples R China
Univ Hong Kong, Hong Kong Jockey Club Ctr Suicide Res & Prevent, Hong Kong, Peoples R ChinaUniv Hong Kong, Fac Social Sci, Dept Social Work & Social Adm, Hong Kong, Peoples R China
Yip, Paul S. F.
[1
,4
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机构:
[1] Univ Hong Kong, Fac Social Sci, Dept Social Work & Social Adm, Hong Kong, Peoples R China
Background China has experienced dramatic social changes in the last three decades. This study aimed to investigate socio-economic factors related to suicide rates in China from 1990 to 2015, and examine how the impacts of these factors on suicide rates changed over time. Methods Suicide rates in 31 provinces in mainland China between 1990 and 2015 were obtained from the Global Burden of Disease (GBD) Study 2019. Temporal-spatial modelling was applied to assess the effects of GDP per capita, urbanization, migration, employment, divorce, proportions of children and older adults on provincial overall, male and female suicide rates. Findings The overall suicide rate in China declined from 18.1 /100,000 in 1990 to 8.6 /100,000 in 2015, with considerable spatial variation in the magnitude of decline across provinces. The protective effects of increasing in GDP per capita, and urbanization, on provincial suicide rate were strong in 1990 (log GDP:-3.56 [95% CI:-6.15,-0.96], urbanisation:-0.07 [-0.14,-0.01]), however these effects were negligible by 2015. The association between employment and suicide rates has shifted from positive to negative over the study period, while migration remained a constant risk factor for high suicide rates (0.04 [0.00, 0.09]). Interpretation This study highlighted the dynamic effects of economic and social factors on suicide rates in the context of transforming China. To maintain further reductions in suicide rates cannot rely simply on improving people's materialistic and economic conditions. A more holistic approach to improve overall population well-being is needed. Copyright circle star 2021 The Author(s). Published by Elsevier Ltd.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
机构:
Louisiana State Univ, Bert S Turner Dept Construct Management, 3315D Patrick F Taylor Hall, Baton Rouge, LA 70803 USAChangan Univ, Sch Econ & Management, Middle Sect Naner Huan Rd, Xian 710064, Shaanxi, Peoples R China
机构:Chinese Academy of Sciences,Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research
Zhongen Niu
Honglin He
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机构:Chinese Academy of Sciences,Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research
Honglin He
Gaofeng Zhu
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机构:Chinese Academy of Sciences,Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research
Gaofeng Zhu
Xiaoli Ren
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机构:Chinese Academy of Sciences,Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research
Xiaoli Ren
Li Zhang
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机构:Chinese Academy of Sciences,Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research
Li Zhang
Kun Zhang
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机构:Chinese Academy of Sciences,Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research
机构:
Sichuan Univ, West China Sch Publ Hlth, Dept Epidemiol & Biostat, Chengdu 610064, Sichuan Provinc, Peoples R ChinaSichuan Univ, West China Sch Publ Hlth, Dept Epidemiol & Biostat, Chengdu 610064, Sichuan Provinc, Peoples R China
Liao, Jiaqiang
Qin, Zhengji
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机构:
Sichuan Univ, West China Sch Publ Hlth, Dept Epidemiol & Biostat, Chengdu 610064, Sichuan Provinc, Peoples R ChinaSichuan Univ, West China Sch Publ Hlth, Dept Epidemiol & Biostat, Chengdu 610064, Sichuan Provinc, Peoples R China
Qin, Zhengji
Zuo, Zongli
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机构:
Sichuan Univ, West China Sch Publ Hlth, Dept Epidemiol & Biostat, Chengdu 610064, Sichuan Provinc, Peoples R ChinaSichuan Univ, West China Sch Publ Hlth, Dept Epidemiol & Biostat, Chengdu 610064, Sichuan Provinc, Peoples R China
Zuo, Zongli
Yu, Shicheng
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机构:
Chinese Ctr Dis Control & Prevent, Off Epidemiol, Beijing, Peoples R ChinaSichuan Univ, West China Sch Publ Hlth, Dept Epidemiol & Biostat, Chengdu 610064, Sichuan Provinc, Peoples R China
Yu, Shicheng
Zhang, Juying
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机构:
Sichuan Univ, West China Sch Publ Hlth, Dept Epidemiol & Biostat, Chengdu 610064, Sichuan Provinc, Peoples R ChinaSichuan Univ, West China Sch Publ Hlth, Dept Epidemiol & Biostat, Chengdu 610064, Sichuan Provinc, Peoples R China