摘要
目的了解医学院校大学生失眠、网络成瘾与抑郁症状现况,探讨网络成瘾对失眠的影响及抑郁在二者关系中的中介作用,以期为医学院校大学生制定针对性干预对策和措施提供依据。方法2021年6月,采取分层整群抽样方法,选取安徽省3所医学院校的全日制1438名在校大学生为调查对象。采用中文版失眠严重程度指数(ISI)量表、网络成瘾测试(IAT)量表、9项患者健康问卷(PHQ-9)对大学生失眠、网络成瘾与抑郁进行评估。采用多因素Logistic回归分析探讨医学院校大学生失眠的影响因素,分别分析失眠与网络成瘾及抑郁症状的关系。结果大学生网络成瘾检出率为49.5%,抑郁症状检出率为39.5%,失眠检出率为18.6%。学习压力大、周围人确诊为新冠病毒感染,与较高失眠的风险有关(P值均<0.05)。随着网络成瘾程度越高(轻度,OR=2.59;中度/重度,OR=4.21)、抑郁症状的程度越严重(轻度,OR=6.35;中度/重度,OR=19.32),大学生失眠风险越高(P值均<0.05)。中介效应分析显示,网络成瘾对失眠具有直接预测作用(β=0.02,P<0.05),还可通过抑郁间接影响失眠(中介效应值为0.07,95%CI=0.06~0.08)。结论安徽省医学院校大学生失眠、网络成瘾及抑郁检出率均较高,网络成瘾和抑郁症状是失眠的相关因素。应加强关注,必要时予以适宜的干预,以提高大学生身心健康水平。
Objective To investigate the status of insomnia,Internet addiction,and depressive symptoms among medical students and to analyze the effect of Internet addiction on insomnia and the mediating role of depressive symptoms,in order to provide a basis for the development of targeted interventions and measurements for medical students.Methods A stratified whole-group sampling method was used to select full-time college students from three medical universities in Anhui Province.The Chinese version of Insomnia Severity Index(ISI),Internet Addiction Test(IAT)scale and 9-item Patient Health Questionnaire(PHQ-9)were used to evaluate the symptoms of insomnia,Internet addiction and depressive in students.A multivariate Logistic regression analysis was used to explore the factors influencing insomnia among medical students and to analyze the relationship between insomnia with Internet addiction and depressive symptoms,respectively.Results The overall rate of Internet addiction was 49.5%,depressive symptoms was 39.5%,insomnia was 18.6%.High academic stress,and the presence of surrounding people diagnosed with COVID-19 were associated with a higher risk of insomnia(P<0.05).The higher the level of Internet addiction(mild,OR=2.60;moderate/severe,OR=4.21)and depression.(mild,OR=6.35;moderate/severe,OR=19.32),the higher the risk of insomnia.Mediated effect analysis showed that Internet addiction had a direct predictive effect(β=0.02,P<0.05)on insomnia and also indirectly affected insomnia through depression(indirect effect=0.07,95%CI=0.06-0.08).Conclusion The detected rates of insomnia,Internet addiction and depressive symptoms are high among medical students in Anhui Province,and Internet addiction and depressive symptoms are risk factors for insomnia,which should be given more attention and appropriate interventions when necessary to improve their physical and mental health.
作者
季文平
张鸿雁
田英汉
杨铖
汪松
时玉东
胡亮亮
吴碧容
夏磊
JI Wenping;ZHANG Hongyan;TIAN Yinghan;YANG Cheng;WANG Song;SHI Yudong;HU Liangliang;WU Birong;XIA Lei(Department of Postgraduate Training,Chaohu Hospital of Anhui Medical University,Hefei(238000),China;不详)
出处
《中国学校卫生》
CAS
北大核心
2023年第8期1174-1177,1181,共5页
Chinese Journal of School Health
基金
安徽省高校人文社会科学研究项目(SK2020A0149)
安徽省省属公立医疗卫生机构引进高层次人才奖补项目。
关键词
抑郁
睡眠障碍
因特网
行为
成瘾
精神卫生
回归分析
学生
Depression
Sleep disorders
Internet
Behavior
addictive
Mental health
Regression analysis
Students
