摘要
目的了解河南省中小学生自杀心理行为的发生状况及其与学习负担的相关性,为预防和干预中小学生自杀行为提供参考依据。方法采用自杀问卷和学业负担问卷,于2019年2-3月抽取河南省45个样本县(市、区)、793所中小学107 656名中小学生进行调查。结果河南省中小学生自杀意念、自杀计划、自杀尝试的报告率分别为8.8%,5.4%,3.0%。不同性别、年级、城乡、寄宿状况中小学生自杀意念、自杀计划、自杀尝试报告率差异均有统计学意义(χ2=11.03~1 670.88,P值均<0.01)。多因素Logistic回归分析结果显示,学校有快慢班、考试频次、课外补习时间、学习压力、近视状况对自杀意念、自杀计划、自杀尝试均有正向预测作用(OR=1.05~1.43,P值均<0.05),课程开设、学习态度、学校态度、自我期望均有负向预测作用(OR=0.44~0.90,P值均<0.01)。结论河南省中小学生的自杀心理行为应引起重视,学业负担是导致中小学生自杀心理行为的危险因素。
Objective To investigate the prevalence of suicidal behaviors among primary and middle school students its relationship with academic burden in Henan Province, so as to provide evidence for prevention of suicide. Methods By stratified sampling, 107 656 primary and middle school students in Henan Province were investigated with Suicidal Behavior Questionnaire and Academic Burden Questionnaire during Feb. to Mar. in 2019. Results The prevalences of suicidal ideation, suicide plan and suicide attempt among primary and middle school students in Henan Province were 8. 8%, 5. 4% and 3. 0%, respectively. There were significantly statistical differences in suicidal behaviors among students with different gender, grade, region and boarding status( χ2= 11.03-1 670.88, P<0.01). Logistic regression analysis showed that school having fast and slow classes, examination frequency, extracurricular tutoring time, learning pressure, myopia status could positively predict suicidal ideation, suicide plan and suicide attempt( OR = 1.05-1.43, P < 0.05), course offering, learning attitude, school attitude, self expectation could negatively predict suicidal behaviors( OR = 0.44-0.90, P<0.01). Conclusion Attention should be paid to the suicidal behaviors of primary and middle school students in Henan Province. Academic burden was a risk factor for suicidal behaviors.
作者
黎亚军
LI Yajun(School of Education,Henan University,Kaifeng(475004),Henan Province,China)
出处
《中国学校卫生》
CAS
北大核心
2020年第4期539-542,共4页
Chinese Journal of School Health
基金
河南省教育科学“十三五”规划基础教育重点专项课题项目(2019-JKGHJCJYZDZX-29)。
关键词
自杀
危险行为
学习
回归分析
学生
Suicide
Dangerous behavior
Learning
Regression analysis
Students
