| Literature DB >> 35496158 |
Yejun Tan1,2, Zhijian Wu3, Xiangnan Qu4, Yuzhuo Liu5, Lele Peng6, Yan Ge1, Shu Li1, Jinfeng Du1, Qi Tang1, Jia Wang1, Xiaofei Peng1, Jiafen Liao1, Meiyan Song1, Jin Kang1.
Abstract
Objective: We conducted the following cross-sectional study to comprehensively assess the anxiety among Chinese international students who studied online during the COVID-19 pandemic and its influencing factors.Entities:
Keywords: COVID-19; anxiety; cross-sectional study; international students; mental health; online learning; online survey; public health emergency
Year: 2022 PMID: 35496158 PMCID: PMC9046590 DOI: 10.3389/fpsyg.2022.860289
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
General situation of 1,090 Chinese international students who studied online during the COVID-19 pandemic.
| Variables | Frequency | Chi-square | |
|---|---|---|---|
| The location of schools | |||
| North America | 151(13.9) | 1945.68 | 0 |
| Europe | 412(37.8) | ||
| Asia | 163(15) | ||
| Oceania | 69(6.3) | ||
| Hong Kong, Macao and Taiwan | 295(27.1) | ||
| Major of study | |||
| Philosophy | 13(0.01) | 702.04 | 0 |
| Economics and finance | 230(0.21) | ||
| Law | 39(0.04) | ||
| Pedagogy | 122(0.11) | ||
| Literature | 123(0.11) | ||
| History | 12(0.01) | ||
| Science | 101(0.09) | ||
| Engineering | 133(0.12) | ||
| Agronomy | 10(0.01) | ||
| Medicine | 61(0.06) | ||
| Management | 166(0.15) | ||
| Art | 79(0.07) | ||
| Military science | 1(0) | ||
| Advantages of online learning | |||
| Saving living and commuting expenses | 747(0.69) | 1369.86 | 0 |
| Saving commuting time | 751(0.69) | ||
| Effectively reduce the risk of COVID-19 infection | 872(0.8) | ||
| No extra time needed to get used to the new environment | 387(0.36) | ||
| No social fear | 329(0.3) | ||
| Online courses can be played repeatedly for easy understanding and review | 582(0.53) | ||
| Online courses are fast paced and more efficient | 130(0.12) | ||
| Translation software/plug-ins can be used to solve the language barrier | 296(0.27) | ||
| Online courses may have higher grades | 101(0.09) | ||
| Disadvantages of online learning | |||
| Time difference can easily lead to a chaotic daily routine | 337(0.31) | 918.7 | 0 |
| The Difficulty of concentration | 744(0.68) | ||
| Poor network connection | 557(0.51) | ||
| Unable to interact with teachers immediately | 552(0.51) | ||
| Inconvenience to exchange ideas with classmates | 560(0.51) | ||
| The lack of campus atmosphere of studying abroad | 768(0.7) | ||
| Lack of social interaction | 312(0.29) | ||
| Inconvenience for scientific research | 189(0.17) | ||
| The trouble of Preparing for exams | 129(0.12) | ||
| The ways to relieve stress | |||
| Chatting with friends online | 719(0.66) | ||
| Watching TV series& movies | 841(0.77) | ||
| Shopping and dining out | 539(0.49) | ||
| Doing physical exercise | 480(0.44) | ||
| Playing video games | 377(0.35) | ||
| Massage | 125(0.11) | ||
| Watching ASMR videos | 96(0.09) | ||
| Primary measures to address the risk of COVID-19 infection | |||
| Vaccination | 894(0.82) | 1922.38 | 0 |
| Wearing a mask | 971(0.89) | ||
| Washing your hands regularly | 806(0.74) | ||
| Keeping Social distance | 832(0.76) | ||
| Avoid visiting crowded places | 772(0.71) | ||
| Gap year/delay until the epidemic stabilizes | 190(0.17) | ||
| Drop out of school | 33(0.03) | ||
| Transfer to another schools in areas where the epidemic is stable | 83(0.08) | ||
Analysis of influencing factors on the incidence of anxiety during online courses for international students.
| Non-anxiety n (%) | Anxiety n (%) | Total | Chi-square | ||
|---|---|---|---|---|---|
| Gender | |||||
| Male | 95(0.37) | 160(0.63) | 255 | 0.665 | 0.48 |
| Female | 288(0.34) | 547(0.66) | 835 | ||
| Age | |||||
| ≥22 years old | 178(0.32) | 383(0.68) | 561 | 5.893 | 0.02 |
| <22 years old | 205(0.39) | 324(0.61) | 529 | ||
| Relationship status | |||||
| Single | 256(0.34) | 500(0.66) | 756 | 1.760 | 0.19 |
| Non-single | 127(0.38) | 207(0.62) | 334 | ||
| BMI | |||||
| Low | 103(0.31) | 230(0.69) | 333 | 3.734 | 0.16 |
| Medium | 242(0.37) | 411(0.63) | 653 | ||
| Height | 38(0.37) | 66(0.63) | 104 | ||
| City of residence in China | |||||
| Big cities | 245(0.33) | 500(0.67) | 745 | 5.236 | 0.02 |
| Small cities and rural areas | 138(0.4) | 207(0.6) | 345 | ||
| COVID-19 vaccination status | |||||
| Completed vaccination | 306(0.35) | 572(0.65) | 878 | 0.162 | 0.69 |
| Incomplete vaccination | 77(0.36) | 135(0.64) | 212 | ||
| Degree type | |||||
| Undergraduate and below | 166(0.34) | 318(0.66) | 484 | 0.270 | 0.60 |
| Postgraduate and above | 217(0.36) | 389(0.64) | 606 | ||
| Time difference in online courses | |||||
| With time difference | 121(0.33) | 250(0.67) | 371 | 1.571 | 0.20 |
| Without time difference | 262(0.36) | 457(0.64) | 719 | ||
| The average daily study duration | |||||
| ≤5 h | 236(0.35) | 430(0.65) | 666 | 0.067 | 0.80 |
| >5 h | 147(0.35) | 277(0.65) | 424 | ||
| The average daily sleep duration | |||||
| ≤6 h | 54(0.33) | 111(0.67) | 165 | 3.391 | 0.18 |
| 6–8 h | 221(0.34) | 432(0.66) | 653 | ||
| >8 h | 108(0.4) | 164(0.6) | 272 | ||
| Frequency of physical exercise | |||||
| No physical exercise | 98(0.32) | 210(0.68) | 308 | ||
| 1–2 times weekly | 178(0.37) | 308(0.63) | 486 | 2.094 | 0.35 |
| >3 times weekly | 107(0.36) | 189(0.64) | 296 | ||
| Frequency of socialization (e.g., shopping, eating, and going to the movies) | |||||
| ≤3 times monthly | 244(0.32) | 512(0.68) | 756 | 8.870 | 0.00 |
| >3 times monthly | 139(0.42) | 195(0.58) | 334 | ||
| The expected teaching mode in coming semesters (2021 fall & 2022 spring) | |||||
| Pure | 331(0.36) | 576(0.64) | 907 | 4.361 | 0.04 |
| Pure | 52(0.28) | 131(0.72) | 183 | ||
| The concerns about the risk after forcing mandatory on-campus teaching | |||||
| Worry | 341(0.34) | 652(0.66) | 993 | 3.112 | 0.08 |
| No worry | 42(0.43) | 55(0.57) | 97 | ||
| Subjective score of the experience of online learning during the COVID-19 pandemic (from 1 to 10) | |||||
| ≤6 | 143(0.3) | 341(0.7) | 484 | 11.945 | 0.00 |
| >6 | 240(0.4) | 366(0.6) | 606 | ||
Logistic regression analysis of the incidence of anxiety during online courses for international students.
| Wald | OR-value | 95% confidence | ||||
|---|---|---|---|---|---|---|
| B | ||||||
| Chi-square value | Interval | |||||
| Age | ||||||
| ≥22 years of age* | 0.171 | 6.931 | 0.008 | 1.186 | 1.045 | 1.347 |
| <22 years of age | ||||||
| City of residence | ||||||
| Small cities and rural areas* | 0.35 | 6.449 | 0.01 | 1.419 | 1.083 | 1.859 |
| Big cities | ||||||
| Subjective score of the online learning (from 1 to 10) | ||||||
| >6* | 0.223 | 11.52 | 0.001 | 1.25 | 1.099 | 1.422 |
| ≤6 | ||||||
| Frequency of socialization | ||||||
| >3 times monthly* | 0.419 | 9.204 | 0.002 | 1.52 | 1.16 | 1.992 |
| ≤3 times monthly | ||||||
| The expected teaching mode in coming semesters | ||||||
| 0.422 | 5.414 | 0.02 | 1.525 | 1.069 | 2.177 | |
| Pure | ||||||
*Is the control group.