Cao Xiaolan,Wen Siying,Liu Jianbo,Lu Jianping,Study on the prevalence and risk factors of non-suicidal self-injury among middle school students in Shenzhen[J].SICHUAN MENTAL HEALTH,2019,32(5):449-452 |
Study on the prevalence and risk factors of non-suicidal self-injury among middle school students in Shenzhen |
DOI:10.11886/j.issn.1007-3256.2019.05.014 |
English keywords:Non-suicidal self-injury Middle school students Risk factors |
Fund projects:深圳市医疗卫生三名工程项目(SZSM201612079);深圳市发改委“创新链+产业链”融合专项项目([2018]256号) |
Author Name | Affiliation | Postcode | Cao Xiaolan | Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Faculty of Mental Health, Shenzhen University, Shenzhen 518020, China | 518020 | Wen Siying | Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Faculty of Mental Health, Shenzhen University, Shenzhen 518020, China | 518020 | Liu Jianbo | Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Faculty of Mental Health, Shenzhen University, Shenzhen 518020, China | 518020 | Lu Jianping* | Shenzhen Mental Health Center, Shenzhen Kangning Hospital, Faculty of Mental Health, Shenzhen University, Shenzhen 518020, China | 518020 |
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Objective To explore the prevalence and risk factors of non-suicidal self-injury in middle school students in Shenzhen, and to provide references for formulating targeted intervention strategies.Methods A total of 2 200 middle school students in Shenzhen were enrolled by a stratified cluster sampling method, and were investigated by self-made questionnaire, Center for Epidemiological Studies-Depression Scale (CES-D) and Internet Addiction Test (IAT). Then the risk factors of NSSI among middle school students were determined by multivariate Logistic regression analysis.Results A total of 230 (10.9%) middle school students suffered NSSI behaviors, and the NSSI detection rate showed no statistic difference between boys and girls [111 (10.3%) vs. 119 (11.6%)], either between junior high school students and senior high school students [108 (11.1%) vs. 122 (10.8%)]. Multivariate Logistic regression analysis showed that depression (OR=2.58), Internet addiction (OR=1.65) and school bullying (OR=2.25) were risk factors for NSSI behaviors among middle school students.Conclusion The detection rate of NSSI behavior among middle school students in Shenzhen is relatively high, and risk factors include the depression, school bullying and Internet addiction. |
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