Evidence map›Paper›PMID 30171272›Full record

ArticleSocial psychiatry and psychiatric epidemiology2019

Historical trends in suicide risk for the residents of mainland China: APC modeling of the archived national suicide mortality rates during 1987-2012.

Xinguang Chen, Yang Sun, Zhi Li, Bin Yu, Ge Gao, Peigang Wang

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Article in Social psychiatry and psychiatric epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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23citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Suicide in China: The power of social and economic change.The Lancet regional health. Western Pacific · 2022
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xinguang ChenGlobal Health Institute, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China.
Yang SunGlobal Health Institute, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China. yangsun@whu.edu.cn.
Zhi LiDepartment of Sociology and Criminology, The Pennsylvania State University, University Park, Pennsylvania, USA.
Bin YuDepartment of Epidemiology, University of Florida, Gainesville, FL, USA.
Ge GaoDepartment of Sociology, University of Maryland, College Park, Maryland, USA.
Peigang WangGlobal Health Institute, Wuhan University, 299 Bayi Road, Wuchang District, Wuhan, 430072, Hubei, China.

Funding

Humanities and Social Sciences Project of China Ministry of Education 17YJCZH155National Natural Science Foundation of China 71303012National Natural Science Foundation of China 71573192
6 · The paper itself

Abstract

purposeDistinctive and dramatic changes in the history of China with a rapid suicide decline in recent years present an opportunity to investigate the risk of suicide. In this study, we investigated suicide risk with a historical perspective with archived data to inform suicide research and prevention policies and strategies.

methodDocumented age-specific suicide mortality rates in 1987-2012 were decomposed into age, period, and cohort effect using APC-modeling method and intrinsic estimator (IE) technique. The estimated effects were further analyzed by numerical differentiation.

resultsThe data satisfactorily fit the constructed APC models. Cohort effect indicated that suicide risk in China fluctuated at very high levels during 1903-1967, followed by a sharp decline during 1968-1977, and reached the lowest level in 1983-1987 before increased again. Period effect confirmed the declining trend since 1987. Three sunny cohorts with reduced suicide risk and four cloudy cohorts with increased risk were, respectively, associated with significant cultural, social, political, and economic events in China since the 1900s.

conclusionsThe mega trends in the suicide risk at the population level are closely related to significant historical events in China. Suicide is anticipated to increase because of the growing risk for the young cohorts (particularly young females) as the country further develops. Study findings suggest the significance of national strategies for suicide prevention and control, including maintenance of social harmony and stability, provision of more opportunities for development, enhancement of social integration, and restriction of suicide facilitating factors.

Indexed as

AdolescentAdultAgedChinaCohort StudiesFemaleHistory, 20th CenturyHistory, 21st CenturyHumansMaleMiddle AgedSuicideYoung AdultAge–period–cohort modelingChinaHistorical epidemiologySocial determinantsSuicide research

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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.