Mental health and its associated factors in college students during COVID-19 confinement in campus
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摘要:
目的 了解新型冠状病毒肺炎(COVID-19)局部暴发期间封闭式管理下大学生心理健康状况及其影响因素,为疫情应急状态下大学生心理健康教育提供科学依据。 方法 于2021年10月18日至11月18日,采用一般情况调查表、抑郁症状群量表、广泛性焦虑量表对1 816名实行封闭式管理的兰州某高校在读大学生进行调查,运用有序多分类Logistic回归方法进行统计分析。 结果 大学生抑郁的发生率是38.76%,其中轻度抑郁和中重度抑郁发生率分别为31.33%和7.43%;焦虑的发生率为16.36%,其中轻度焦虑和中重度焦虑发生率分别为13.33%和3.03%。多因素Logistic回归分析结果显示,贫困生(OR=1.29)、作息情况(基本规律OR=0.33、规律OR=0.18)、网络教学适应度(一般适应OR=0.45、很适应OR=0.25)、担心自己及家人感染(有些担心OR=1.73、非常担心OR=2.09)、男生(OR=0.78)、隔离方式(OR=1.70)等6个因素是大学生抑郁状况的影响因素(P值均 < 0.05);听音乐情况(有时OR=0.44、经常OR=0.41)、作息情况(基本规律OR=0.36、规律OR=0.19)、网络教学适应度(一般适应OR=0.42、很适应OR=0.28)、担心自己及家人感染(有些担心OR=1.87、非常担心OR=3.27)等4个因素是大学生焦虑状况的影响因素(P值均 < 0.05)。 结论 新冠肺炎局部暴发校园封闭式管理和集中隔离医学观察期间,大学生抑郁和焦虑状况检出率高,高校和有关部门应及时采取精准措施进行心理疏导。 Abstract:Objective To investigate mental health and its associated factors in college students during COVID-19 confinement in campus, and to provide a scientific basis for mental health education. Methods A general questionnaire, the Patient Health Questionnaire 9 (PHQ-9) and the Generalized Anxiety Disorder- 7 (GAD-7) were administered. A total of 1 816 college students under COVID-19 confinement in campus in Lanzhou City were surveyed from October 18 to November 18, 2021. Data were analyzed by using the ordinal Logistic regression method. Results The overall incidence of depressive emotions was 38.76%, and the incidences of mild, moderate to severe depression emotions were 31.33% and 7.43%, respectively. About 16.36% of students showed anxiety, with mild, moderate to severe anxiety being 13.33% and 3.03%, respectively. Multivariate analysis showed that poverty(OR=1.29), daily schedule (basically normal OR=0.33, normal OR=0.18), adaptability of online learning (moderate adaptation OR=0.45, high level of adaptation OR=0.25), concerns about the infection of oneself and family members (some concerns OR=1.73, considerable concerns OR=2.09), male(OR=0.78), and the isolation mode(OR=1.70). The music listening (sometimes OR=0.44, often OR=0.41), daily schedule (basically normal OR=0.36, normal OR=0.19), adaptability of online learning (moderate adaptation OR=0.42, high level of adaptation OR=0.28), and concerns about the infection of oneself and family members (some concerns OR=1.87, considerable concerns OR=3.27) were primary factors associated with high level of anxiety among college students(P < 0.05). Conclusion The incidence of depression and anxiety among college students increased following COVID-19 confinement and centralized isolation for medical observation in campus. Universities and relevant departments should take timely and precise measures for psychological counseling. -
Key words:
- Mental health /
- Depression /
- Anxiety /
- Regression analysis /
- Students
1) 利益冲突声明 所有作者声明无利益冲突。 -
表 1 新冠肺炎疫情封闭管理期间不同组别大学生抑郁状况检出率比较
Table 1. Comparison of depression among college students during the period of closed management of the COVID-19 epidemic
组别 人数 轻 中重度 H值 P值 性别 男 1 036 302(29.15) 73(7.05) 6.28 0.01 女 780 267(34.23) 62(7.95) 年级 本科生 203 67(33.00) 22(10.84) 3.63 0.16 硕士生 1 511 470(31.11) 108(7.15) 博士生 102 32(31.37) 5(4.90) 是否贫困生 是 524 189(36.07) 53(10.11) 18.71 < 0.01 否 1 292 380(29.41) 82(6.35) 是否独生子女 是 672 184(27.38) 49(7.29) 6.37 0.01 否 1 144 385(33.65) 86(7.52) 隔离方式 集中医学隔离 294 118(40.14) 26(8.84) 14.29 < 0.01 未隔离 1 522 451(29.63) 109(7.16) 听音乐情况 从不 82 24(29.27) 19(23.17) 12.41 < 0.01 有时 782 258(32.99) 47(6.01) 经常 952 287(30.15) 69(7.25) 体育锻炼情况 不锻炼 281 100(35.59) 45(16.01) 34.73 < 0.01 有时 1 207 382(31.65) 73(6.05) 经常 328 87(26.52) 17(5.18) 作息情况 不规律 243 108(44.44) 57(23.46) 154.75 < 0.01 基本规律 1 240 400(32.26) 69(5.56) 规律 333 61(18.32) 9(2.70) 网络教学适应度 不适应 102 33(32.35) 31(30.39) 95.48 < 0.01 一般适应 889 339(38.13) 68(7.65) 很适应 825 197(23.88) 36(4.36) 新冠肺炎认知度 不了解 19 3(15.79) 6(31.58) 27.65 < 0.01 一般了解 943 341(36.16) 77(8.17) 非常了解 854 225(26.35) 52(6.09) 担心自己和家人感染 不担心 664 152(22.89) 35(5.27) 51.39 < 0.01 有些担心 895 324(36.20) 68(7.60) 非常担心 257 93(36.19) 32(12.45) 注: ()内数字为检出率/%。 表 2 大学生抑郁状况相关因素Logistic回归分析(n=1 816)
Table 2. Multivariate Logistic regression analysis of influencing depressive symptoms(n=1 816)
自变量 β值 标准误 Wald χ2值 P值 OR值(OR值95%CI) 是否贫困生 是 0.25 0.11 4.98 0.03 1.29(1.03~1.61) 是否独生子女 是 0.01 0.11 0.00 0.97 1.01(0.81~1.25) 体育锻炼情况 经常 -0.26 0.19 1.97 0.16 0.77(0.54~1.11) 有时 -0.24 0.14 2.78 0.10 0.79(0.60~1.04) 听音乐情况 经常 -0.33 0.25 1.73 0.19 0.72(0.44~1.18) 有时 -0.49 0.25 3.79 0.05 0.61(0.37~1.00) 作息情况 规律 -1.73 0.20 73.19 < 0.01 0.18(0.12~0.26) 基本规律 -1.10 0.15 55.26 < 0.01 0.33(0.25~0.44) 网络教学适应度 很适应 -1.39 0.23 38.04 < 0.01 0.25(0.16~0.39) 一般适应 -0.81 0.22 13.56 < 0.01 0.45(0.29~0.69) 新冠肺炎认知度 非常了解 -0.37 0.53 0.50 0.48 0.69(0.25~1.94) 一般了解 -0.24 0.53 0.20 0.65 0.79(0.28~2.22) 担心自己和家人感染 非常担心 0.74 0.16 21.70 < 0.01 2.09(1.53~2.85) 有些担心 0.55 0.12 22.22 < 0.01 1.73(1.38~2.17) 性别 男 -0.25 0.11 5.40 0.02 0.78(0.64~0.96) 隔离方式 未隔离 -0.35 0.13 7.16 0.01 0.70(0.54~0.91) 表 3 新冠肺炎疫情封闭管理期间不同组别大学生焦虑状况检出率比较
Table 3. Distribution of anxiety among college students during the period of closed management of the COVID-19 epidemic
组别 人数 轻度 中重度 H值 P值 性别 男 1 036 140(13.51) 30(2.90) < 0.01 0.97 女 780 102(13.08) 25(3.21) 年级 本科生 203 35(17.24) 6(2.96) 2.46 0.29 硕士生 1 511 193(12.77) 48(3.18) 博士生 102 14(13.73) 1(0.98) 是否贫困生 是 524 86(16.41) 24(4.58) 12.09 < 0.01 否 1 292 156(12.07) 31(2.40) 是否独生子女 是 672 84(12.50) 16(2.38) 1.83 0.18 否 1 144 158(13.81) 39(3.41) 隔离方式 集中医学隔离 294 40(13.61) 10(3.40) 0.12 0.73 未隔离 1 522 202(13.27) 45(2.96) 听音乐情况 从不 82 19(23.17) 10(12.20) 26.83 < 0.01 有时 782 111(14.19) 21(2.69) 经常 952 112(11.76) 24(2.52) 体育锻炼情况 不锻炼 281 52(18.51) 19(6.76) 20.70 < 0.01 有时 1 207 148(12.26) 29(2.40) 经常 328 42(12.80) 7(2.13) 作息情况 不规律 243 62(25.51) 28(11.52) 103.32 < 0.01 基本规律 1 240 159(12.82) 23(1.85) 规律 1 816 242(13.33) 55(3.03) 网络教学适应度 不适应 102 25(24.51) 15(14.71) 63.40 < 0.01 一般适应 889 141(15.86) 25(2.81) 很适应 825 76(9.21) 15(1.82) 新冠肺炎认知度 不了解 19 5(26.32) 1(5.26) 20.23 < 0.01 一般了解 943 150(15.91) 35(3.71) 非常了解 854 87(10.19) 19(2.22) 担心自己和家人感染 不担心 664 52(7.83) 13(1.96) 52.33 < 0.01 有些担心 895 129(14.41) 28(3.13) 非常担心 257 61(23.74) 14(5.45) 注: ()内数字为检出率/%。 表 4 影响大学生焦虑状况的多因素Logistic回归分析(n=1 816)
Table 4. Multivariate Logistic regression analysis of influencing anxiety symptoms(n=1 816)
自变量 β值 标准误 Wald χ2值 P值 OR值(OR值95%CI) 体育锻炼情况 经常 0.17 0.24 0.49 0.49 1.18(0.74~1.88) 有时 -0.10 0.18 0.28 0.60 0.91(0.63~1.30) 听音乐情况 经常 -0.90 0.28 10.24 < 0.01 0.41(0.24~0.71) 有时 -0.82 0.28 8.49 < 0.01 0.44(0.25~0.76) 作息情况 规律 -1.67 0.27 38.04 < 0.01 0.19(0.11~0.32) 基本规律 -1.03 0.17 36.93 < 0.01 0.36(0.26~0.50) 是否贫困生 是 0.16 0.11 1.26 0.13 1.17(0.95~1.45) 网络教学适应度 很适应 -1.26 0.25 25.80 < 0.01 0.28(0.17~0.46) 一般适应 -0.87 0.24 13.14 < 0.01 0.42(0.26~0.67) 新冠肺炎认知度 非常了解 -0.23 0.57 0.16 0.69 0.80(0.26~2.45) 一般了解 0.10 0.57 0.03 0.86 1.11(0.36~3.39) 担心自己和家人感染 非常担心 1.19 0.20 35.36 < 0.01 3.27(2.21~4.83) 有些担心 0.62 0.17 14.24 < 0.01 1.87(1.35~2.58) -
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