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Secular trends of suicide risk for residents in mainland China (2004 to 2019): An updated age-period-cohort analysis.
Hou, Hao; Yu, Bin; He, Chenlu; Li, Guiyuan; Pei, Yifei; Wang, Jingjing; Tang, Jie; Chen, Xinguang; Gao, Xiuyin; Wang, Wei.
Affiliation
  • Hou H; School of Public Health, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China; School of Public Health, Wuhan University, Wuhan 430064, Hubei, China.
  • Yu B; School of Public Health, Wuhan University, Wuhan 430064, Hubei, China.
  • He C; School of Public Health, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.
  • Li G; School of Public Health, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.
  • Pei Y; School of Public Health, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.
  • Wang J; School of Public Health, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.
  • Tang J; School of Public Health, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.
  • Chen X; Department of Epidemiology, University of Florida, 2004 Mowry Road, Gainesville, USA.
  • Gao X; School of Public Health, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China.
  • Wang W; School of Public Health, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China; Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou 221004, Jiangsu, China; Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou 221004, Jiangsu
J Affect Disord ; 329: 235-242, 2023 05 15.
Article in En | MEDLINE | ID: mdl-36849004
ABSTRACT

BACKGROUND:

The overall suicide rate in China has dropped substantially since the 1990s, but a slowdown in the decrease and even a reversing trend was observed in specific groups in recent years. This study aims to investigate the latest suicide risk in mainland China by using the age-period-cohort (APC) analysis.

METHOD:

This population-based multiyear cross-sectional study included Chinese ages 10 to 84 years using data from the China Health Statistical Yearbook (2005-2020). Data were analyzed by the APC analysis and intrinsic estimator (IE) technique.

RESULTS:

The data satisfactorily fit the constructed APC models. The cohort effect indicated a high risk of suicide among people birth in 1920-1944 and a sharp decline in the 1945-1979 cohort. The lowest risk occurred in the 1980-1994 cohort before a sharp increase in generation Z (birth years in 1995-2009). The period effect showed a declining trend since 2004. The age effect indicated that the suicide risk increased over time, except for a gradual decline from age 35 to 49. The suicide risk increased greatly in adolescents and reached the highest among the elderly.

LIMITATIONS:

The aggregated population-level data and the non-identifiability of the APC model could result in bias in the accuracy of results in this study.

CONCLUSIONS:

This study successfully updated the Chinese suicide risk from the age, period and cohort perspective using the latest available data (2004-2019). The findings enhance the understanding of suicide epidemiology and provide evidence supporting policies and strategies at the macro-level for suicide prevention and management. Immediate action is needed to focus on a national suicide prevention strategy that targets generation Z, adolescents and the elderly which will require a collaborative effort by government officials, public/community health planners and health care agencies.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Suicide Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limits: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Middle aged Country/Region as subject: Asia Language: En Journal: J Affect Disord Year: 2023 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Suicide Type of study: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limits: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Middle aged Country/Region as subject: Asia Language: En Journal: J Affect Disord Year: 2023 Document type: Article Affiliation country: China