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安徽省医学院校大学生抑郁与网络成瘾及失眠的关联

季文平 张鸿雁 田英汉 杨铖 汪松 时玉东 胡亮亮 吴碧容 夏磊

季文平, 张鸿雁, 田英汉, 杨铖, 汪松, 时玉东, 胡亮亮, 吴碧容, 夏磊. 安徽省医学院校大学生抑郁与网络成瘾及失眠的关联[J]. 中国学校卫生, 2023, 44(8): 1174-1177. doi: 10.16835/j.cnki.1000-9817.2023.08.012
引用本文: 季文平, 张鸿雁, 田英汉, 杨铖, 汪松, 时玉东, 胡亮亮, 吴碧容, 夏磊. 安徽省医学院校大学生抑郁与网络成瘾及失眠的关联[J]. 中国学校卫生, 2023, 44(8): 1174-1177. doi: 10.16835/j.cnki.1000-9817.2023.08.012
JI Wenping, ZHANG Hongyan, TIAN Yinghan, YANG Cheng, WANG Song, SHI Yudong, HU Liangliang, WU Birong, XIA Lei. Association of depressive symptoms, Internet addiction and insomnia among medical students in Anhui Province[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(8): 1174-1177. doi: 10.16835/j.cnki.1000-9817.2023.08.012
Citation: JI Wenping, ZHANG Hongyan, TIAN Yinghan, YANG Cheng, WANG Song, SHI Yudong, HU Liangliang, WU Birong, XIA Lei. Association of depressive symptoms, Internet addiction and insomnia among medical students in Anhui Province[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2023, 44(8): 1174-1177. doi: 10.16835/j.cnki.1000-9817.2023.08.012

安徽省医学院校大学生抑郁与网络成瘾及失眠的关联

doi: 10.16835/j.cnki.1000-9817.2023.08.012
基金项目: 

安徽省高校人文社会科学研究项目 SK2020A0149

详细信息
    作者简介:

    季文平(1986-), 男, 安徽无为人, 硕士, 卫生管理师, 主要从事医学教育与科研管理方面工作

    通讯作者:

    夏磊, E-mail: xialei@ahmu.edu.cn

  • 利益冲突声明  所有作者声明无利益冲突。
  • 中图分类号: B844.2 C913.5 G478

Association of depressive symptoms, Internet addiction and insomnia among medical students in Anhui Province

  • 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1 438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。
    1)  利益冲突声明  所有作者声明无利益冲突。
  • 表  1  安徽省医学院校不同组别大学生失眠检出率比较

    Table  1.   Comparison of the prevalence of insomnia between groups of college students in medical universities in Anhui Province

    组别 选项 人数 失眠人数 χ2 P
    年龄/岁 ≤18 418 73(17.5) 0.47 0.49
    >18 1 020 194(19.0)
    性别 600 108(18.0) 0.22 0.64
    838 159(19.0)
    所在地区 合肥 599 106(17.7) 6.33 0.04
    蚌埠 388 88(22.7)
    芜湖 451 73(16.2)
    专业 医学类 874 165(18.9) 3.18 0.20
    药学类 260 39(15.0)
    其他非医药类 304 63(20.7)
    学历 本科 1 200 227(18.9) 0.59 0.44
    研究生 238 40(16.8)
    每周体育锻炼频次 <3 991 202(20.4) 6.95 0.01
    ≥3 447 65(14.5)
    独生子女 1 006 187(18.6) 0.00 0.98
    432 80(18.5)
    父母婚姻状况 正常 1 285 236(18.4) 0.33 0.57
    不正常 153 31(20.3)
    学习压力 88 11(12.5) 47.20 <0.01
    一般 975 142(14.6)
    375 114(30.4)
    周围人确诊为新冠病毒感染 1 358 240(17.7) 12.92 <0.01
    80 27(33.8)
    接受疫情相关信息的频率 较少 346 63(18.2) 1.22 0.54
    一般 476 82(17.2)
    较多 616 122(19.8)
    网络成瘾 726 75(10.3) 79.99a <0.01
    轻度 554 137(24.7)
    中度 140 45(32.1)
    重度 18 10(55.6)
    抑郁症状 870 51(5.9) 293.75 <0.01
    轻度 414 126(30.4)
    中度 105 60(57.1)
    重度 49 30(61.2)
    注:()内数字为检出率/%;父母婚姻状况不正常包括分居或离异,单方或双方去世;a为采用Fisher确切概率法。
    下载: 导出CSV

    表  2  安徽省医学院校大学生失眠相关因素的二分类Logistic回归分析(n=1 438)

    Table  2.   Binary Logistic regression analysis of factors associated with insomnia among college students in medical universities in Anhui Province(n=1 438)

    自变量 选项 模型1 模型2
    OR值(95%CI) P OR值(95%CI) P
    所在地区 蚌埠 1.28(0.92~1.78) 0.15 1.23(0.86~1.75) 0.27
    芜湖 0.94(0.67~1.32) 0.72 1.03(0.72~1.50) 0.86
    每周体育锻炼频次 ≥3 0.79(0.58~1.09) 0.16 0.94(0.66~1.32) 0.72
    学习压力 一般 1.39(0.70~2.75) 0.34 1.37(0.65~2.90) 0.41
    3.14(1.56~6.28) 0.01 2.01(0.94~4.30) 0.07
    周围人确诊为新冠病毒感染 1.97(1.18~3.28) <0.01 1.75(1.00~3.06) <0.05
    网络成瘾 轻度 2.59(1.90~3.55) <0.01 - -
    中度/重度 4.21(2.76~6.40) <0.01 - -
    抑郁症状 轻度 - - 6.35(4.44~9.08) <0.01
    中度/重度 - - 19.32(12.40~30.10) <0.01
    注:自变量所在地区、每周体育锻炼频次、学习压力、周围人确诊为新冠病毒感染、网络成瘾、抑郁分别以合肥、<3次、小、无、无、无为参照。
    下载: 导出CSV
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  • 收稿日期:  2023-05-12
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