Analysis of network usage and influencing factors among college students returning to a vocational college during COVID-19 epidemic
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摘要:
目的 了解新冠疫情期间返校大学生网络使用情况及影响因素，为及时调整疫情间大学生网络成瘾的干预措施提供科学依据。 方法 采取整群的抽样方法，使用一般情况调查表、网络成瘾量表对某高校2 700名首批返校大学生进行问卷调查。 结果 大学生网络成瘾检出率为32.4%，男生网络成瘾检出率(36.0%)高于女生(31.2%)(χ2=5.42，P < 0.05)；网络成瘾程度与大学生身体健康状况评分(rs=-0.20)及心理健康状况评分(rs=-0.24)均呈负相关(P均 < 0.01)。多因素Logistic回归分析显示，与内向性格相比，中性(OR=0.67，95%CI=0.55~0.82)及外向性格(OR=0.59，95%CI=0.48~0.74)与大学生网络成瘾呈负相关；与不锻炼相比，每周体育锻炼≥3次(3~4次：OR=0.67，95%CI=0.51~0.87；≥5次：OR=0.67，95%CI=0.50~0.90)与大学生网络成瘾呈负相关；疫情期间出现家庭损失与大学生网络成瘾呈正相关(OR=1.34，95%CI=1.12~1.60)；主动寻求心理帮助的大学生发生网络成瘾的风险是没有寻求心理帮助的大学生的2.13倍(95%CI=1.14~3.96)；不想返校的大学生发生网络成瘾的风险是想返校的大学生1.50倍(OR=1.50，95%CI=1.26~1.77)。 结论 新冠疫情期间返校大学生网络行为现状不容乐观，应引起社会和高校的足够重视。返校大学生需要多进行体育锻炼以及心理咨询，及时发现和干预心理问题，减轻心理负担，增强心理素质。 Abstract:Objective To understand the current situation and influencing factors of Internet addiction among college students after returning to school during the COVID-19 epidemic, and to provide scientific basis for timely intervention measures to adjust the risk factors of Internet addiction. Methods A cluster sampling method was adopted to conduct a questionnaire survey among 2 700 college students who firstly returned to college using general condition questionnaire and Internet Addiction scale. Results The detection rate of Internet addiction disorder was 32.4% among returning college students, moreover, the detection rate of Internet addiction in male students(36.0%) was higher than that in female students (31.2%) (χ2=5.42, P < 0.05). The degree of Internet addiction was negatively correlated with the physical health score (rs=-0.20) and mental health score (rs=-0.24) of college students (P < 0.01). Multivariate Logistic regression analysis showed that compared with introversion, neutral (OR=0.67, 95%CI=0.55-0.82) and extroverted college students (OR=0.59, 95%CI=0.48-0.74) were protective factors for Internet addiction; compared with no exercise, physical exercise ≥3 times or more per week (exercise 3-4 times: OR=0.67, 95%CI=0.51-0.87; ≥5 times: OR=0.67, 95%CI=0.50-0.90) were the protective factors for Internet addiction among college students; family loss during the epidemic was a risk factor for Internet addiction among college students (OR=1.34, 95%CI=1.12-1.60); the risk of Internet addiction was 2.13 times higher for college students who actively sought psychological help than for those who did not seek psychological help (95%CI=1.14-3.96); college students who did not want to go back to school had 1.50 times the risk of Internet addiction as those who did (95%CI=1.26-1.77). Conclusion The current situation of college students' online behaviors during COVID-19 is not optimistic, and should arouse sufficient attention from society and universities. In addition, college students returning to school should take more physical exercises and psychological counseling to detect and intervene in psychological problems in time, reduce their psychological burden, and enhance their psychological quality. -
Key words:
- Internet /
- Behavior addictive /
- Mental health /
- Regression analysis /
- Students
1) 江敏敏与汪洋为本文并列第一作者。 -
表 1 返校大学生网络成瘾影响因素的单因素分析
Table 1. Univariate analysis of factors affeeting internet addiction among returning college sutdents
因素 人数 网络使用成瘾人数 χ2值 P值 性别 男 672 242(36.0) 5.42 0.02 女 2 028 632(31.2) 自评性格 内向 737 296(40.2) 30.72 0.00 中性 1 184 365(30.8) 外向 779 213(27.3) 每周体育锻炼次数 0 544 201(36.9) 14.30 0.00 1~2 1 187 400(33.7) 3~4 558 153(27.4) ≥5 411 120(29.2) 疫情期间是否出现家庭损失 是 1 721 591(34.3) 8.42 0.01 否 979 283(28.9) 返校的主要原因 复课 683 190(27.8) 13.17 0.02 准备实习 1 698 566(33.3) 毕业 162 61(37.7) 找工作或到岗试用 62 22(35.5) 科研任务 4 3(75.0) 其他 91 32(35.2) 返校后是否主动寻求心理帮助 是 42 20(47.6) 4.53 0.03 否 2 658 854(32.1) 返校意愿 想 1 390 388(27.9) 25.99 0.00 不想 1 310 486(37.1) 注：()内数字为检出率/%。 
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表 2 返校大学生网络成瘾影响因素的多因素Logistic回归分析(n=2 700)
Table 2. Multivariate Logistic regression of associated factors of internet addiction among returning college sutdents (n=2 700)
自变量与常量 选项 β值 标准误 Wald χ2值 P值 OR值(OR值95%CI) 性别 男 1.00 女 -0.37 0.10 13.14 0.00 0.69(0.57~0.85) 自评性格 内向 1.00 中性 -0.39 0.10 15.59 0.00 0.67(0.55~0.82) 外向 -0.52 0.11 21.67 0.00 0.59(0.48~0.74) 体育锻炼次数/次 0 1.00 1~2 -0.12 0.11 1.08 0.30 0.89(0.72~1.11) 3~4 -0.41 0.14 9.02 0.00 0.67(0.51~0.87) ≥5 -0.40 0.15 7.13 0.01 0.67(0.50~0.90) 疫情期间是否出现家庭损失 否 1.00 是 0.29 0.09 10.62 0.00 1.34(1.12~1.60) 返校后是否主动寻求心理帮助 否 1.00 是 0.76 0.32 5.67 0.02 2.13(1.14~3.96) 返校意愿 想 1.00 不想 0.40 0.09 22.00 0.00 1.50(1.26~1.77) 常量 0.64 0.36 3.15 0.08 1.89
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[1] 靳英辉, 蔡林, 程真顺, 等. 新型冠状病毒(2019-nCoV)感染的肺炎诊疗快速建议指南(标准版)[J]. 解放军医学杂志, 2020, 45(1): 1-20. https://www.cnki.com.cn/Article/CJFDTOTAL-JFJY202001002.htmJIN Y H, CAI L, CHENG Z S, et al. A quick recommendation guide for the diagnosis and treatment of pneumonia caused by the novel coronavirus (2019-nCoV) infection (standard version)[J]. Med J PLA, 2020, 45(1): 1-20. https://www.cnki.com.cn/Article/CJFDTOTAL-JFJY202001002.htm [2] 黄孟云, 朱丽君, 金岳龙, 等. 安徽省大学生新型冠状病毒肺炎的认知和防控行为调查[J]. 中华疾病控制杂志, 2020, 24(5): 529-533. https://www.cnki.com.cn/Article/CJFDTOTAL-JBKZ202005008.htmHUANG M Y, ZHU L J, JIN Y l, et al. Investigation on the cognition and prevention and control behavior of new coronavirus pneumonia among college students in Anhui Province[J]. Chin Dis Control, 2020, 24(5): 529-533. https://www.cnki.com.cn/Article/CJFDTOTAL-JBKZ202005008.htm [3] 金岳龙, 江敏敏, 陈燕, 等. 新型冠状病毒肺炎流行期社区居民疫情信息获得途径及其与心理行为问题关系[J]. 中国公共卫生, 2020, 36(5): 665-667. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202005003.htmJIN Y L, JIANG M M, CHEN Y, et al. Ways to obtain information on the epidemic situation of community residents during the epidemic period of novel coronavirus pneumonia and its relationship with psychological and behavioral problems[J]. Chin Public Health, 2020, 36(5): 665-667. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGW202005003.htm [4] 陈燕, 金岳龙, 朱丽君, 等. 基于网络的安徽省居民新型冠状病毒肺炎知识、态度、行为调查分析[J]. 中华预防医学杂志, 2020, 54(4): 367-373.CHEN Y, JIN Y L, ZHU L J, et al. Investigation and analysis of the knowledge, attitude and behavior of residents in Anhui Province based on the novel coronavirus pneumonia[J]. Chin Prev Med J, 2020(4): 367-373. [5] 艾东, 江敏敏, 王艳秋, 等. 某医学院在校大学生网络成瘾与抑郁、焦虑的相关性研究[J]. 皖南医学院学报, 2019, 38(6): 586-588, 592. doi: 10.3969/j.issn.1002-0217.2019.06.021AI D, JIANG M M, WANG Y Q, et al. A study on the correlation between Internet addiction and depression and anxiety among college students in a medical school[J]. J Wannan Med Coll, 2019, 38(6): 586-588, 592. doi: 10.3969/j.issn.1002-0217.2019.06.021 [6] YOUNG S, KIMBERLY S. Internet addiction: the emergence of a new clinical disorder[J]. Cyber Psychol Behav, 1998, 1(3): 237-244. doi: 10.1089/cpb.1998.1.237 [7] 杨宏, 金童林, 刘振会, 等. 大学生网络成瘾的潜剖面分析[J]. 中国心理卫生杂志, 2020, 34(6): 539-542. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS202006013.htmYANG H, JIN T L, LIU Z H, et al. Analysis of latent profile of internet addiction among college students[J]. Chin Ment Health J, 2020, 34(6): 539-542. https://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS202006013.htm [8] YOUNG K, PISTNER M, O'MARA J, et al. Cyber disorders: the mental health concern for the new millennium[J]. Cyber Psychol Behav, 1999, 2(5): 475-479. doi: 10.1089/cpb.1999.2.475 [9] 刘晓飞, 谢伟, 陈科, 等. 屏幕阅读对大学生视力状况的影响[J]. 中国健康教育, 2016, 32(7): 583-586. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGJK201607003.htmLIU X F, XIE W, CHEN K, et al. The effect of screen reading on the vision of college students[J]. Chin Health Educ, 2016, 32(7): 583-586. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGJK201607003.htm [10] 张浩, 孟亚, 徐晓霞, 等. 医学生网络成瘾现状及与心理健康的相关性[J]. 江苏预防医学, 2020, 31(1): 48-51. https://www.cnki.com.cn/Article/CJFDTOTAL-JSYF202001016.htmZHANG H, MENG Y, XU X X, et al. Current status of medical students' Internet addiction and its correlation with mental health[J]. Jiangsu Prev Med, 2020, 31(1): 48-51. https://www.cnki.com.cn/Article/CJFDTOTAL-JSYF202001016.htm [11] 居文. 大学生网络成瘾者心理健康状态调查及心理预防措施[J]. 中国健康心理学杂志, 2019, 27(2): 309-312. https://www.cnki.com.cn/Article/CJFDTOTAL-JKXL201902038.htmJU W. Investigation of the mental health status of college students with internet addiction and psychological preventive measures[J]. Chin J Health Psychol, 2019, 27(2): 309-312. https://www.cnki.com.cn/Article/CJFDTOTAL-JKXL201902038.htm [12] WARTBERG L, ADEN A, THOMSEN M, et al. Relationships between family interactions and pathological Internet use in adolescents: an review[J]. Z Kinder Jugendpsychiatr Psychother, 2015, 43(1): 9-17. doi: 10.1024/1422-4917/a000328 [13] 任婷婷, 刘建. 新疆农牧区哈萨克族大学生网络成瘾状况及影响因素分析[J]. 现代预防医学, 2019, 46(11): 2004-2008. https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF201911021.htmREN T T, LIU J. Analysis of Internet addiction status and influencing factors of Kazakh college students in agricultural and pastoral areas of Xinjiang[J]. Modern Prev Med, 2019, 46(11): 2004-2008. https://www.cnki.com.cn/Article/CJFDTOTAL-XDYF201911021.htm [14] WANG J L, SHENG J R, WANG H Z. The association between mobile game addiction and depression, social anxiety, and loneliness[J]. Front Public Health, 2019, 7: 247. DOI: 10.3389/fpubh.2019.00247. [15] 陈咸, 邓士琳, 陈庚. 大学生体质健康与网络成瘾相关性分析[J]. 河北师范大学学报(自然科学版), 2019, 43(6): 546-552. https://www.cnki.com.cn/Article/CJFDTOTAL-HBSZ201906015.htmCHEN X, DENG S L, CHEN G. Analysis of the correlation between physical health and Internet addiction of college students[J]. J Hebei Normal University (Nat Sci Edit), 2019, 43(6): 546-552. https://www.cnki.com.cn/Article/CJFDTOTAL-HBSZ201906015.htm [16] 魏华, 周宗奎, 张永欣, 等. 压力与网络成瘾的关系: 家庭支持和朋友支持的调节作用[J]. 心理与行为研究, 2018, 16(2): 266-271. doi: 10.3969/j.issn.1672-0628.2018.02.018WEI H, ZHOU Z K, ZHANG Y X, et al. The relationship between stress and Internet addiction: the moderating effect of family support and friend support[J]. Psychol Behav Res, 2018, 16(2): 266-271. doi: 10.3969/j.issn.1672-0628.2018.02.018 -
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