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1000 Titel
  • Factors associated with suicide risk among Chinese adults: A prospective cohort study of 0.5 million individuals
1000 Autor/in
  1. Yu, Rongqin |
  2. Chen, Yiping |
  3. Li, Liming |
  4. Chen, Junshi |
  5. Guo, Yu |
  6. Bian, Zheng |
  7. Lv, Jun |
  8. YU, Canqing |
  9. Xie, Xianmin |
  10. Huang, Dan |
  11. Chen, Zhengming |
  12. Fazel, Seena |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-03-11
1000 Erschienen in
1000 Quellenangabe
  • 18(3):e1003545
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1371/journal.pmed.1003545 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7951865/ |
1000 Ergänzendes Material
  • https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003545#sec015 |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Suicide is a leading cause of death in China and accounts for about one-sixth of all suicides worldwide. The objective of this study was to examine the recent distribution of suicide and risk factors for death by suicide. Identifying underlying risk factors could benefit development of evidence-based prevention and intervention programs. METHODS AND FINDINGS: We conducted a prospective study, the China Kadoorie Biobank, of 512,715 individuals (41% men, mean age 52 years) from 10 (5 urban, 5 rural) areas which are diverse across China in geographic locations, social economic developmental stages, and prevalence of disease patterns. After the baseline measurements of risk factors during 2004 to 2008, participants were followed up for suicide outcomes including suicide and possible suicide deaths. Risk factors, such as sociodemographic factors and physical and mental health status, were assessed by semistructured interviews and self-report questionnaires. Suicide and possible suicide deaths were identified through linkage to the local death registries using ICD-10 codes. We conducted Cox regression to calculate hazard ratios (HRs) for suicide and for possible suicide in sensitivity analyses. During an average follow-up period of 9.9 years, 520 (101 per 100,000) people died from suicide (51.3% male), and 79.8% of them lived in rural areas. Sociodemographic factors associated with increased suicide risk were male gender (adjusted hazard ratios [aHR] = 1.6 [95% CI 1.4 to 2.0], p < 0.001), older age (1.3 [1.2 to 1.5] by each 10-yr increase, p < 0.001), rural residence (2.6 [2.1 to 3.3], p < 0.001), and single status (1.7 [1.4 to 2.2], p < 0.001). Increased hazards were found for family-related stressful life events (aHR = 1.8 [1.2 to 1.9], p < 0.001) and for major physical illnesses (1.5 [1.3 to 1.9], p < 0.001). There were strong associations of suicide with a history of lifetime mental disorders (aHR = 9.6 [5.9 to 15.6], p < 0.001) and lifetime schizophrenia-spectrum disorders (11.0 [7.1 to 17.0], p < 0.001). Links between suicide risk and depressive disorders (aHR = 2.6 [1.4 to 4.8], p = 0.002) and generalized anxiety disorders (2.6 [1.0 to 7.1], p = 0.056) in the last 12 months, and sleep disorders (1.4 [1.2 to 1.7], p < 0.001) in the past month were also found. All HRs were adjusted for sociodemographic factors including gender, age, residence, single status, education, and income. The associations with possible suicide deaths were mostly similar to those with suicide deaths, although there was no clear link between possible suicide deaths and psychiatric factors such as depression and generalized anxiety disorders. A limitation of the study is that there is likely underreporting of mental disorders due to the use of self-report information for some diagnostic categories. CONCLUSIONS: In this study, we observed that a range of sociodemographic, lifestyle, stressful life events, physical, and mental health factors were associated with suicide in China. High-risk groups identified were elderly men in rural settings and individuals with mental disorders. These findings could form the basis of targeted approaches to reduce suicide mortality in China.
1000 Sacherschließung
lokal Suicide
lokal Medical risk factors
lokal Sleep
lokal Rural areas
lokal Depression
lokal Mental health and psychiatry
lokal China
lokal Sleep disorders
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WXUsIFJvbmdxaW4g|https://orcid.org/0000-0002-4973-0296|https://orcid.org/0000-0001-5873-7089|https://orcid.org/0000-0001-5530-1343|https://orcid.org/0000-0003-4254-1596|https://frl.publisso.de/adhoc/uri/QmlhbiwgWmhlbmcg|https://orcid.org/0000-0001-7916-3870|https://orcid.org/0000-0002-0019-0014|https://frl.publisso.de/adhoc/uri/WGllLCBYaWFubWluIA==|https://frl.publisso.de/adhoc/uri/SHVhbmcsIERhbiA=|https://frl.publisso.de/adhoc/uri/IENoZW4sIFpoZW5nbWluZw==|https://orcid.org/0000-0002-5383-5365
1000 Label
1000 Förderer
  1. Wellcome Trust |
1000 Fördernummer
  1. 202836/Z/16/Z; 212946/Z/18/Z; 202922/Z/16/Z; 104085/Z/14/Z; 088158/Z/09/Z
1000 Förderprogramm
  1. Senior Research Fellowship
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Wellcome Trust |
    1000 Förderprogramm Senior Research Fellowship
    1000 Fördernummer 202836/Z/16/Z; 212946/Z/18/Z; 202922/Z/16/Z; 104085/Z/14/Z; 088158/Z/09/Z
1000 Objektart article
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1000 @id frl:6426278.rdf
1000 Erstellt am 2021-03-19T14:44:52.468+0100
1000 Erstellt von 315
1000 beschreibt frl:6426278
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Mon May 17 08:15:09 CEST 2021
1000 Objekt bearb. Mon May 17 08:14:52 CEST 2021
1000 Vgl. frl:6426278
1000 Oai Id
  1. oai:frl.publisso.de:frl:6426278 |
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1000 Sichtbarkeit Daten public
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