Literature DB >> 25876858

[Analysis on the characteristics of self-inflicted injury/suicide based on the Chinese National Injury Surveillance System from 2006 to 2013].

Xin Gao1, Leilei Duan1, Chao Yang1, Pengpeng Ye1, Cuirong Ji1, Yuan Wang1, Xiao Deng1, Ye Jin1, Yuliang Er1, Linhong Wang2.   

Abstract

OBJECTIVE: To understand the characteristics of self-inflicted injury/suicide cases that were seen from the clinic or the emergency rooms, to provide basis for suicide prevention strategies development.
METHODS: Data from the National Injury Surveillance System, from 2006 to 2013 were used to analyze the trend of self-inflicted injury/suicide proportion in injuries as well as the socio-demographic characteristics of the cases with related basic and clinic information related to self-inflicted injury/suicide.
RESULTS: The proportion of self-inflicted injury/suicide cases decreased during the past 8 years. 58.6% of the self-inflicted injury/suicide cases were females in 2013 and 42.1% received junior secondary school education. Self-inflicted injury/suicide were mostly taken place at home (76.2% ). Poisoning (56.1% ) and sharp injury were the major ways causing self-inflicted injury or suicide.
CONCLUSION: Interventions on self-inflicted injury/suicide should be strengthened including control programs on pesticide/psychotropic drugs. Prevention on future attempts and suicide should include the full use during the in-hospital time of those suicide attempters.

Entities:  

Mesh:

Year:  2015        PMID: 25876858

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  3 in total

1.  Suicide rates in Zhejiang Province, China, from 2006 to 2016: a population-based study.

Authors:  Fangrong Fei; Huixin Liu; Sequoia I Leuba; Yichong Li; Ruying Hu; Min Yu; Jin Pan; Jieming Zhong
Journal:  J Epidemiol Community Health       Date:  2019-04-16       Impact factor: 3.710

2.  An Analysis of Injury Trends and Disease Burden From Three Surveillance Hospitals in Urumqi From 2006 to 2018.

Authors:  Rong Zhang; Jing-Xuan Sun; Ying-Zhen Guo; Lai-Xin Liu; Fuerhati Wushouer; Yan Dong; Ping Fang; Xiamusiye Muyiduli; Zhen-Guo Gao; Jiang-Hong Dai; Ming-Jian Ni
Journal:  Front Public Health       Date:  2022-07-22

3.  The Anion Gap is a Predictive Clinical Marker for Death in Patients with Acute Pesticide Intoxication.

Authors:  Sun-Hyo Lee; Samel Park; Jung-Won Lee; Il-Woong Hwang; Hyung-Jun Moon; Ki-Hwan Kim; Su-Yeon Park; Hyo-Wook Gil; Sae-Yong Hong
Journal:  J Korean Med Sci       Date:  2016-05-09       Impact factor: 2.153

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.