Literature DB >> 28976066

A systematic analysis of online broadcasts of suicidality in China.

Ang Li1,2, Xiaoxiao Huang2, Tingshao Zhu2.   

Abstract

INTRODUCTION: This study attempts to analyze the epidemiological characteristics of online broadcasts of suicidality in China.
METHODS: A total of 193 incidents were identified by systematically searching for relevant news reports on the internet. A content analysis on these news reports was conducted to obtain information on the characteristics of each individual incident.
RESULTS: Of these incidents, the ratio of males to females was 1:1.7 (age: 24.6 ± 6.1 years old). Approximately 45.4% and 70.8% of incidents were located in the region of Eastern China and Southern China, respectively, and 15.7% of incidents were unemployed. The most common suicide method was wrist cutting (57.5%), and the most common suicide location was at home (35.2%). Instant messaging apps (52.8%) were most frequently used for broadcasting suicidal thoughts and actions. Relationship breakup (61.1%) was reported as the leading cause of suicide. Furthermore, of the 193 incidents, 19 indicated that they suffered from a mental disorder, and 12 revealed that they had a history of suicide attempts. There were significant gender, age, regional, and occupational differences across the categories. DISCUSSION: This study indicates that in China, suicide prevention programmes need to target internet users.
© 2017 John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  China; epidemiological characteristic; internet; suicide; suicide broadcast

Mesh:

Year:  2017        PMID: 28976066     DOI: 10.1111/appy.12302

Source DB:  PubMed          Journal:  Asia Pac Psychiatry        ISSN: 1758-5864            Impact factor:   2.538


  5 in total

Review 1.  Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps.

Authors:  John Torous; Mark E Larsen; Colin Depp; Theodore D Cosco; Ian Barnett; Matthew K Nock; Joe Firth
Journal:  Curr Psychiatry Rep       Date:  2018-06-28       Impact factor: 5.285

2.  A Psycholinguistic Analysis of Responses to Live-Stream Suicides on Social Media.

Authors:  Ang Li; Dongdong Jiao; Xingyun Liu; Jiumo Sun; Tingshao Zhu
Journal:  Int J Environ Res Public Health       Date:  2019-08-09       Impact factor: 3.390

3.  Mediation Effect of Suicide-Related Social Media Use Behaviors on the Association Between Suicidal Ideation and Suicide Attempt: Cross-Sectional Questionnaire Study.

Authors:  Xingyun Liu; Jiasheng Huang; Nancy Xiaonan Yu; Qing Li; Tingshao Zhu
Journal:  J Med Internet Res       Date:  2020-04-28       Impact factor: 5.428

4.  Appropriate Strategies for Reducing the Negative Impact of Online Reports of Suicide and Public Opinion From Social Media in China.

Authors:  Meijie Chu; Hongye Li; Shengnan Lin; Xinlan Cai; Xian Li; Shih-Han Chen; Xiaoke Zhang; Qingli Man; Chun-Yang Lee; Yi-Chen Chiang
Journal:  Front Public Health       Date:  2021-12-03

5.  Stigmatizing Attitudes Across Cybersuicides and Offline Suicides: Content Analysis of Sina Weibo.

Authors:  Ang Li; Dongdong Jiao; Tingshao Zhu
Journal:  J Med Internet Res       Date:  2022-04-08       Impact factor: 7.076

  5 in total

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