WITHDRAWN: Knowledge, Preventive Practices, and Depression Among Chinese University Students in Korea and China During the COVID-19 Pandemic: An Online Cross-sectional Study

DOI: https://doi.org/10.21203/rs.3.rs-48092/v5

Abstract

Background: To investigate the knowledge, preventive practices, and depression of Chinese university students living in South Korea (International Group) and Mainland China (Mainland Group) regarding the Coronavirus Disease 2019 (COVID-19) outbreak and explore the determinants of depression among these students.

Methods: An online cross-sectional questionnaire survey was conducted both in China and South Korea from March 23 to April 12, 2020. The online questionnaire included questions on knowledge and preventive practices related to COVID-19, and PHQ-9 which was used to diagnose depression in target groups. A total of 420 Chinese university students were finally included in the study (171 students from South Korea and 249 students from mainland China).

Results: Majority of these students had a good level of knowledge of COVID-19. The International Group performed better than the Mainland Group regarding preventive practices; however, the percentage of students with moderate-to-severe depression was higher among the International Group. More severe depression was related to high levels of concern about family members, about getting COVID-19, and suspecting themselves of having come into contact with patients. Meanwhile, taking preventive behaviors more comprehensively decreased the depression state of both the groups.

Conclusions: During the COVID-19 pandemic, the depression status of students of the International Group was significantly more severe than that of the Mainland Group (χ2 = 5.50, p < 0.05). The level of depression among students in both the groups was affected by their concern regarding their family members, getting COVID-19, and whether they suspected themselves of having come into contact with patients. Therefore, psychological counseling and education programs are necessary in order to support and improve the mental health of International Group students.

1. Background

An increasing number of infectious diseases have recently led to serious economic and social consequences around the world [1,2]. Studies have shown that these emergent public-health events not only result in physical pain but also have a profound psychological impact [3,4], such as inducing panic, anxiety, and depression [5,6]. It has been found that psychological stress may lead to immune dysfunction, which consequently has a negative impact on human health [7]. For instance, the SARS virus brought a series of psychological problems such as post-traumatic stress disorder (PTSD) to the public [8]. Therefore, it is necessary to determine the population’s mental health status during a health emergency as early as possible and to make recommendations and provide interventions.

The Coronavirus Disease 2019 (COVID-19) broke out in Wuhan, Hubei Province, China at the end of January 2020 and has quickly spread to 188 countries and regions worldwide as of 20 May 2020 [9]. On January 30, 2020, the World Health Organization (WHO) declared it a worldwide “pandemic” [10]. There have been continuous reports regarding confirmed cases and deaths. The disease is contagious, widespread, and there are no known drugs that target the disease [11,12]. Increasing numbers of confirmed patients, suspected cases, and provinces affected by the outbreak made the Chinese people feel worried and scared [13,14]. Coupled with the ongoing social distancing and isolation measures implemented in several countries and regions, this outbreak has led to additional mental health problems such as stress, anxiety, depressive symptoms, insomnia, and fear around the world [15,16,17]. WHO also noted that mental health and psychological well-being in different target groups must be considered during the COVID-19 outbreak [18]. 

College students entering adulthood may not only face stress related to their academic performance but also tackle more adult-like responsibilities without having yet achieved the skills and cognitive maturity of adulthood [19]. Past research related to emergencies found that some college students lack the experience to handle an emergency, lack analytical and speculative skills, and display impulsive behavior or a vulnerable and unstable mood [20,21]. Several researchers propose that mental health problems are becoming increasingly common among college students [22,23,24]. Potential problems such as anxiety, stress, and depression predicted a lower year-end degree commitment and negatively affected their academic performance [25,26]. The COVID-19 outbreak coincided with the Chinese lunar New Year holiday and the opening of South Korean universities; thus, similar population in both countries have been affected, directly or indirectly. To prevent the outbreak from escalating, universities in China and South Korea have postponed the beginning of the semester and canceled all campus events such as workshops, conferences, sports, and other activities [27]. The mental health of college students who are forced to stay at home for a long time with decreasing collective activities may be affected, leading to anxiety or depressive symptoms [28,29]. Thus, the psychological condition of university students cannot be overlooked and must be monitored.

Since the viral outbreak was first reported in China, the Chinese have been targeted and blamed for the spread of COVID-19 and stigmatized internationally. An example of this would be the use of the terms “China virus” or “Wuhan virus” by the media [30]. Chinese students account for the largest proportion of foreign students studying in South Korea [31]. Most of them live alone on their own and have never known or experienced a severe outbreak in China beforehand. Previous research shows that the transition of studying abroad adds another layer of stress that can exacerbate and amplify previously existing mental problems [32]. There is a high probability that their loneliness abroad along with global discrimination and stress over the epidemic in Korea may affect their academic performance and depression level [33].

Research has been conducted in different countries to identify the risk and protective factors contributing to depression and anxiety of university students during the COVID-19 pandemic. University students in the United Arab Emirates and Jordan demonstrated that adequate knowledge, good attitudes, and low-risk practices were among the protective factors toward the prevention of COVID-19 [34,35]. Moreover, having relatives or acquaintances infected with COVID-19 is a risk factor for anxiety increase of university students [36,37]. In their study on Nigerian university students, Rakhmanov and Dane presented that an increase in the level of knowledge may help decrease anxiety levels [38]. In addition, a study on French university students showed that knowledge regarding the pandemic may be used to reduce its negative impact (like stress and anxiety) in the vulnerable population [39]. Although some university students had a good level of knowledge regarding COVID-19 and its preventive practices, comparative research in three countries indicated that health authorities should take their depressive status seriously [40]. However, there is no research that examined knowledge regarding COVID-19 and the risk factors leading to depression during the pandemic among overseas Chinese university students. Particularly, Chinese students in South Korea have become a vulnerable group. Therefore, using an online questionnaire survey, this study aimed to explore the conditions and determinants of knowledge, preventive practices, and depression among the Chinese university students in mainland China and South Korea during the COVID-19 pandemic.

2. Materials And Methods

2.1. Study design

We conducted the online survey from 23 March to 12 April 2020[1] during the COVID-19 pandemic. The cross-sectional survey was completed through an anonymous questionnaire. Our target populations were Chinese univeristy students studying in South Korea (hereby referred to as the International Group) and in Mainland China (hereby referred to as the Mainland Group). We used the same questionnaires for the two groups, and these were written in simplified Chinese characters. The questionnaire was distributed via the Naver Online Survey (Tool) for the International Group and through the Surveystar Online Survey (Tool) for the Mainland Group. Before conducting the survey, we revised and verified the contents of the questionnaire through an online pilot survey and ensured that the statements were appropriate and understandable.

2.2. Data collection

First, the sample size needed for the study was calculated using the G*Power 3.19 program. When calculated based on parameters of the two-sided test, χ2 test, a residual variance of 0.83, α probability = 0.05, and power = 0.95 for F tests and linear multiple regression analysis, the minimum total sample size was estimated to be 356. 

Second, during the initial screening of the online questionnaire, a statement regarding the purpose of the research and the confidentiality and privacy of individuals was written on the first page of the survey questionnaire. Participants could only fill in the questionnaire after reading this statement and clicking “AGREE” to confirm their consent. In addition, we stipulated that the main questions in the survey were mandatory questions, which means the participants had to complete all answers before they submitted the online questionnaire. All the measures above resulted in a 100% response rate for our study. 

Finally, 461 respondents were collected in this study via snowball sampling, wherein we recruited more respondents among the respondents’ acquaintances. There were 180 responses from Chinese students in South Korea collected from March 23 to April 8, 2020, and 281 responses from Chinese students in mainland China collected from April 2 to 12, 2020. In line with the research aim, which was to survey university students, respondents who answered “Employed,” “Unemployed,” and “Others” to the occupation question were removed, leaving a total of 420 students (171 from the International Group and 249 from the Mainland Group). All respondents expressed their willingness to participate and understood the background and purpose of the study.

2.3. Measurements

After data collection, we compared knowledge, preventive practices, and depression among Chinese university students in South Korea and China. This study used two questionnaires: 1) Questionnaire on COVID-19 and 2) Patient Health Questionnaire-9, which aimed to evaluate the target respondents’ basic demographics characteristics, knowledge about COVID-19, preventive practices, and depressive symptoms. Most questions in the COVID-19 questionnaire were found to have reasonable validity and reliability in Wang’s research on the Chinese general population [15]. Yonsei Global Health Center (YGHC) made changes to Part E (Precaution measures) and Part F (Additional information) according to the specific situation in the two countries. The Patient Health Questionnaire-9 (PHQ-9) was included to the study to provide a baseline for the incidence of depression.

2.4. Description of Variables

2.4.1. General Demographics 

In this study, to reflect the demographic characteristics of the respondents, the basic survey asked questions related to the respondents’ sex, age, education level, marital status, family size, whether they had medical insurance, whether they had chronic diseases, whether they had traveled abroad in the past 14 days, and whether they had experienced quarantine. The choices for educational level were “Undergraduate” and “Graduate,” and the choices for marriage status were “Single” and “Married.” In terms of family size, the choices included “1-person family,” “2-person family,” “3~5 persons family,” and “more than 6-member family.” Questions about having medical insurance, chronic illness, having traveled abroad, and having self-quarantined were answerable by either “yes” or “no.” Respondents were also asked about their “self-assessed physical condition,” which was answerable by either “above good” and “below fair.”

2.4.2. Knowledge and perception regarding COVID-19

Understanding and perception of COVID-19 and other topics were evaluated through a self-enumeration questionnaire, which included questions regarding the student’s knowledge on transmission pathway, information satisfaction, sources of related information, confidence about diagnose, degree of concern about this disease, perceived probability, and concern about family members.

2.4.3. Preventive practices of COVID-19

Nine basic preventive practices were incorporated into the questionnaire. The responses to the questions corresponded to the degree to which a measure was practiced on a daily basis (1 = “Never do this” and 5 = “Do this every day”), and the total score indicated how well the preventive practices were performed. Cronbach's alpha coefficient of the preventive practices of the COVID-19 scale was 0.78.

2.4.4. Patient Health Questionnaire-9

Depressive symptoms could be diagnosed based on the nine-item criteria for depression in the Diagnostic and Statistical Manual of Mental Disorders published by the American Psychiatric Association [41]. Each question on the PHQ-9 may have been answered as follows (with their corresponding score):“not at all” (0 points), “several days” (1 point), “more than half the days” (2 points), and “almost every day” (3 points) [42]. Participants were divided into five groups according to the total score: 0–4, 5–9, 10–14, 15–19, 20–27, which corresponded to “minimal or none,” “mild,” “moderate,” “moderately severe,” and “severe” depression, respectively [43]. The higher the score, the more severe the depression.

Depression was assessed according to the score on the PHQ-9. With a sensitivity of 88% and a specificity of 88% for detecting major depressive disorders, a score of 10 has been recommended as the cut-off score for diagnosing depression [44]. Thus, in this study, respondents who scored 10 or more points were classified as “moderate-to-severe,” and respondents who scored less than 10 points were classified as “minimal-to-mild.” Cronbach's alpha coefficient of the scale in this study was 0.89.

2.5. Statistical Analysis

In this study, STATA 15·0 and SPSS 24·0 were used to conduct statistical analysis. The specific analytical methods are as follows:

  1. First, descriptive statistics, t-test, and Chi-square test were performed to compare each variable between the International Group and Mainland Group.

(2) Second, to explore the determinants of the different depression levels, hierarchical regression was performed.

[1] From WHO, date as of 31 March 2020:  China: Total confirmed cases 82,545, total deaths 3314; Korea: Total confirmed cases 9,786, total death 162.

3. Results

3.1. General Characteristics

As shown in Table1, there were significant differences between the two groups in terms of “Age” (t = 5.427, p < 0.001), “Educational level” (χ2 = 8.509, p = 0.004), “Marital status” (χ2 = 4.153, p = 0.042), “Family size” (χ2 = 32.126, p < 0.001), “Medical insurance” (χ2 = 10.699, p = 0.001), and “Self-quarantine” (χ2 = 42.230, p < 0.001). The mean age for the International Group was 24.08 ± 4.14 years compared with that of Mainland Group, which was 22.12 ± 2.28 years. There were higher proportions of graduate students, married respondents, and respondents with families comprising one to two members in the International Group than in the Mainland Group. In addition, there was a higher percentage of students who did not have medical insurance (16.4%) in the International group. In contrast, nearly half (47.8%) of the Mainland Group students had experienced being self-quarantined. In total, more than 90% of respondents reported good self-assessed physical condition.


3.2. Knowledge about COVID-19

Table 2 shows the students’ responses with regard to their knowledge about COVID-19. About 99.8% of them knew that the virus can spread through droplets, 88.8% knew that it could be transmitted via contacting contaminated objects, and 66.9% knew that it could be transmitted through air. The two groups were also updated on information regarding “Infected cases,” “Death cases,” and “Recovered cases.” Regarding the sources of information, 92.1% of respondents got information from one to three sources such as the internet, TV, or family members. Overall, the respondents attained a good level of basic COVID-19 information satisfaction. 

Between the International Group and Mainland Group, there were significant differences in terms of “confidence in diagnosis” (χ2 = 15.647, p < 0.001), “concerns about the disease” (χ2 = 4.246, p = 0.039), and “high perceived probability of getting infected” (χ2 = 12.379, p < 0.001). Although more respondents in the Mainland Group were highly confident in the diagnosis and were highly concerned about the disease, there was a higher number of respondents in the International Group whose perceived probability of infection was high. Among International Group students, 34.5% thought they were highly likely to be infected (19.3% in Mainland Group). However, some of them also thought they were more likely to survive after infection (91.8% in International Group VS. 86.7% in Mainland Group). Furthermore, no statistically significant difference was found in terms of “Concern about family members.”

3.3. Differences in preventive practices between the Chinese students in the two countries during COVID-19

Table 3 illustrates the performance of preventive measures against COVID-19 in the International Group and Mainland Group. On the whole, the two groups were significantly different in terms of seven practices. The mean scores of International Group in the first six practices were significantly higher than those of the Mainland Group, including the practices of “Covering mouth when coughing and sneezing” (t = 3.28, p < 0.001), “Washing hands with soap and water” (t = 2.93, p < 0.001), “Wash hands immediately after coughing, rubbing nose or sneezing” (t = 1.76, p < 0.05), “Washing hands after touching contaminated objects” (t = 7.11, p < 0.001) and “Avoiding public transportation” (t = 2.23, p < 0.05). However, this excluded the practice: “Wearing mask regardless of the presence or absence of symptoms.” On the contrary, the Mainland Group achieved higher levels of performance than that of International Group in terms of the last three practices, including “Sitting in one row while having a meal” (t = -5.81, p < 0.001) and “Avoiding meeting more than 10 people” (t = -10.13, p < 0.001).

3.4. Depressive symptoms resulting from the analysis

A Chi-square test was performed to determine the relationship between the level of depression symptoms and if the student was part of the International Group and Mainland Group. The depressive symptoms were categorized into “minimal-to-mild” and “moderate-to-severe” (cut-off score of 10) in this study. As Table 4 shows the difference between the two groups, which was confirmed as statistically significant (χ2 = 5.50, p < 0.05), the depression status of the International Group was more severe than that of the Mainland Group.

A simple linear stepwise regression analysis was conducted to explore the factors affecting the depression status of the respondents, including all the variables. The results (displayed in Table 5) showed that “information satisfaction,” “patients’ contact history,” “concern about family members,” and “self-assessed physical condition” were statistically significantly related to the respondents’ depression. These four variables were subjected to hierarchical regression in different models in combination with variables such as demographics characteristic, knowledge score, and preventive score.

Table 6 displays the results of hierarchical regression analysis on the determinants of depression on COVID-19 with four models. In Models 1 and 2, there were no statistically significant relationships between age, sex, education level, or marital status and the depression scores of respondents. Students who had a better assessment of their health had lower depression scores (t = -1.865, p < 0.05). As more variables were added in Models 3 and 4, the factors “Not sure contact patient’s history” (p < 0.001), “Highly concerned about family members” (p < 0.01), and “Highly concerned about this disease” (p < 0.05) were associated with statistically significant increases in depression scores. In the four models, the preventive practice scores all had significantly negative relationships with depression scores. In short, the better the performance of preventive practices by the students, the lower the depression score. The Watson value was close to 2, indicating that the observed value was independent. Although R was small, the p values of F value in these four models were less than 0.01, showing a strong correlation of the interpretative power of the models.

4. Discussion

4.1. Knowledge, Preventive Practices, and Depression Status of the International Group and Mainland Group Students

This study found that Chinese university students had a certain degree of knowledge of COIVD-19, which is in accordance with other research results [15,45]. Combined with the findings on information satisfaction and information sources, most of them correctly understood how the virus is transmitted and have received detailed information on the cases. This shows that the publicity work and health education of schools, health institutions, and mass media are making an impact [46]. Although there were high percentages of students who perceived themselves as having high “confidence about diagnosis” and that they would “survive after infection,” many students reported being highly “concern[ed] about family members” in this study. This is also consistent with the fact that as confirmed and suspected cases continue to increase, more provinces and countries are affected by the epidemic [13], which increases the public attention.

Some studies on the effects of the COVID-19 outbreak on Chinese university students’ psychological state and their associated factors have been previously conducted [15,28,40]; however, these only included respondents from mainland China. After the case of “Patient No. 31,” wherein a confirmed case participated in a gathering in Daegu at the Shincheonji Church of Jesus, there was a sudden outbreak in South Korea that attracted worldwide attention and suggested that upgraded quarantine and isolation were necessary [47,48]. Because most of the International Group students in South Korea live alone, their fears are exacerbated by the fact that they may have to experience a prolonged quarantine period by themselves (83.1% of them had self-quarantined). This may also explain why the students of International Group and Mainland Group experienced similar worries and concerns about this disease and family members. In addition, it should be noted that a number of students from the Mainland Group had a high perceived probability of getting infected by the disease. This is also consistent with the situation in mainland China, where COVID-19 has spread throughout almost every province since January 2020 [49]. Overall, both groups did well in performing these preventive practices. The Mainland Group only performed better than the International Group in terms of “avoiding using elevator” and “sitting in one row while having a meal.” The International Group scored higher in all other preventive situations. Therefore, effective measures to prevent the virus should be more publicized through health education and publicity work by health institutions and mass media in mainland China.

Depressive disorder is one of the most common mental disorders, with a lifetime prevalence of 6.9% and a 12-month prevalence of 3.6% in the Chinese general population [50]. The average scores of PHQ-9 in these two groups were 7.20 (95% CI: 6.390-7.800) for the International Group and 6.20 (95% CI: 5.583-6.819) for the Mainland Group, and the proportion (28.7%) of the International Group, who experienced mild-to-severe symptoms, was much higher than that of the Mainland Group (18.9%), with a cut-off of 10 points. The prevalence of depression in the college students who participated in this study (12.6%) is higher than the average prevalence [51]. Factors such as performance of preventive practices, patient contact history, concern about family members, and concern about this disease and their relationships with depression scores in these respondents also showed that the COVID-19 outbreak may impact the psychological state of these university students, especially for International Group students. Thus, universities in South Korea urgently need to provide the necessary psychological interventions and health education measures for these students.

Improving university students' knowledge and prevention of the virus is conducive to their psychological health. The lack of expertise and knowledge regarding COVID-19 may cause students to be excessively worried about the damage brought on by the pandemic, resulting in a higher risk perception and more feelings of panic and anxiety [52]. As demonstrated in this study, the more comprehensive the preventive measures, the better the psychological state of university students, the lower the risk of mild depression, and the more positive their response to the epidemic. Therefore, pertinent departments and universities should make effective use of social networking platforms and social software, among other forms of media, to attract university students to receive relevant and comprehensive news, information, and education on COVID-19.

The thoughts and feelings of university students could also affect their mental health. The study showed that students who felt good about their bodies and did not suspect themselves as having come into contact with a patient, those with lower levels of stress, and those who were not as worried about their families and this disease had lower depression scores. During this outbreak, the generation of rumors and their influence cannot be overlooked [53]. Negative and false information regarding the epidemic may result in great psychological consequences in the students because this may make them feel negative and require the companionship of family and friends at this time [54], which may not be possible for most of the students studying abroad due to the countries’ ban on transportation and migration. Thus, more social and school support is necessary to help them develop and maintain a positive mindset. At the same time, government departments should release fair information in time in order to reduce discrimination, and schools should guide their students to be more caring.

4.2. Implications

Both government departments and universities should provide and ensure the dissemination of fair information. Furthermore, they should conduct a variety of effective health education and health activities tailored according to the characteristics of the two student groups in a timely manner so that university students could more comprehensively understand information regarding COVID-19 and better implement the relevant preventive measures. Moreover, it is necessary to provide psychological consultation and aid to reduce the negative effects of the outbreak on university students.

4.3. Limitation and Future Research

This study had several limitations. Due to the restrictions of various activities and limitations brought on by the COVID-19 pandemic, several adjustments had to be made. First, a web-based questionnaire was adopted in this study, which may have some shortcomings. One example is that self-assessed levels of physical condition and depression scores may not always be aligned with assessment of their real situation because participants may choose the “socially desirable response.” Second, the snowball sampling method was employed; therefore, it may not be possible to make statistical inferences from the sample that are applicable to the population since the participants were not randomly selected. Third, the severity of the epidemic varies from region to region, thus the effects of the pandemic on depression among university students may also differ according to region. Therefore, it is necessary to conduct further studies on their depression status, and we are planning to conduct a prospective study on a comparable group. Notwithstanding the above limitations, this study provides useful information on knowledge, preventive practice, and depressive symptoms among Chinese students in two countries (China and South Korea), which had suffered the largest COVID-19 outbreaks at the time this study was conducted. Our results could be used as evidence-based reference in the provision of psychological interventions for university students in different areas during the outbreak.

5. Conclusions

The present study investigated knowledge, preventive practices, and depression status of Chinese university students living in South Korea and Mainland China during the COVID-19 outbreak and further explored the determinants of depression among the students in both the groups. The results showed that the majority of the respondents had a satisfactory level of knowledge regarding COVID-19. The International Group students performed better than the Mainland Group students regarding preventive practices; however, the percentage of students with moderate-to-severe depression was higher in the International Group. Depression was associated with high levels of concern about family members and about getting COVID-19, and with suspecting themselves as having had contact with patients. Meanwhile, comprehensively performing preventive behaviors may be associated with a decrease in the depressive state in both groups.

Abbreviations

COVID-19: Coronavirus Disease 2019

PTSD: Post-traumatic stress disorder

WHO: World Health Organization

PHQ-9: Patient Health Questionnaire-9

YGHC: Yonsei Global Health Center

Declarations

Ethics approval and consent to participate: Ethical approval for the study was obtained from Yonsei University Institutional Review Committee (IRB) before the data collection (Task No. 1041849-202005 - SB-054-01). Written informed consent was obtained from respondents for inclusion before they participated in the study. Confidentiality was maintained throughout the study by not recording participant names on questionnaires.

Availability of data and materials: The questionnaire used in the study are included in the submission. The datasets, however, are not available publicly, but can be made available upon request from the corresponding author.

Consent for publication: Not applicable.

Competing interests: The authors declare that they have no competing interests.

Funding: This research received no funding.

Author Contributions: Study design and concept: EN. Data collection: FK, BZ. Data Analysis BZ. Data interpretation: BZ. BZ wrote the first draft of the manuscript under the supervision of FK and EN. All authors reviewed and approved the final version of the manuscript.

Acknowledgments: We would like to thank all the respondents for their participation in this research and the researchers in Yonsei Global Health Center for their cooperation.

References

  1. Reperant LA, Osterhaus AD. AIDS, Avian flu, SARS, MERS, Ebola, Zika… what next?. Vaccine. 2017;35(35):4470-4.
  2. Schlipköter U, Flahault A. Communicable diseases: achievements and challenges for public health. Public Health Reviews. 2010;32(1):90-119.
  3. World Health Organization. Securing regional health though APSED: building sustainable capacity for managing emerging diseases and public health events: progress report 2012. Rev. Manila: WHO Regional Office for the Western Pacific; 2012.
  4. Hua L, Hua F. Progress in Health Education and Health Promotion. Chinese General Practice. 2001;4(10):757-9. doi:10.3969/j.issn.1007-9572.2001.10.001. Available online: http://www.cnki.com.cn/Article/CJFDTotal-QKYX200110001.htm (accessed on 30 October, 2020). (In Chinese).
  5. Jeong H, Yim HW, Song YJ, Ki M, Min JA, Cho J, Chae JH. Mental health status of people isolated due to Middle East Respiratory Syndrome. Epidemiology and health. 2016;38.
  6. Mohammed A, Sheikh TL, Gidado S, Poggensee G, Nguku P, Olayinka A, Ohuabunwo C, Waziri N, Shuaib F, Adeyemi J, Uzoma O. An evaluation of psychological distress and social support of survivors and contacts of Ebola virus disease infection and their relatives in Lagos, Nigeria: a cross sectional study− 2014. BMC Public Health. 2015;15(1):1-8.
  7. Godbout JP, Glaser R. Stress-induced immune dysregulation: implications for wound healing, infectious disease and cancer. Journal of Neuroimmune Pharmacology. 2006;1(4):421-7.
  8. Qun L, Zhong C. Basic Methods of Psychological Intervention in SARS. Chinese Mental Health Journal. 2003;17(8):534-5. doi:10.3321/j.issn:1000-6729.2003.08.007. Available online: http://www.cnki.com.cn/Article/CJFDTOTAL-ZXWS200308006.htm (accessed on 30 October, 2020). (In Chinese).
  9. COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). 2020. Available online: https://coronavirus.jhu.edu/map.html (accessed on 20 May 2020).
  10. Cucinotta D, Vanelli M. WHO declares COVID-19 a pandemic. Acta Bio-Medica: Atenei Parmensis. 2020;91(1):157-60.
  11. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239-42.
  12. Rodriguez-Morales AJ, Cardona-Ospina JA, Gutiérrez-Ocampo E, Villamizar-Peña R, Holguin-Rivera Y, Escalera-Antezana JP, Alvarado-Arnez LE, Bonilla-Aldana DK, Franco-Paredes C, Henao-Martinez AF, Paniz-Mondolfi A. Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis. Travel Medicine and Infectious Disease. 2020:101623.
  13. Bao Y, Sun Y, Meng S, Shi J, Lu L. 2019-nCoV epidemic: address mental health care to empower society. The Lancet. 2020;395(10224):e37-8.
  14. Wang C, Pan R, Wan X, Tan Y, Xu L, McIntyre RS, Choo FN, Tran B, Ho R, Sharma VK, Ho C. A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain, Behavior, and Immunity. 2020.
  15. Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, Ho RC. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. International Journal of Environmental Research and Public Health. 2020;17(5):1729.
  16. Rajkumar RP. COVID-19 and mental health: A review of the existing literature. Asian Journal of Psychiatry. 2020:102066.
  17. Torales J, O’Higgins M, Castaldelli-Maia JM, Ventriglio A. The outbreak of COVID-19 coronavirus and its impact on global mental health. International Journal of Social Psychiatry. 2020:0020764020915212.
  18. World Health Organization. Mental health and psychosocial considerations during the COVID-19 outbreak, 18 March 2020. World Health Organization; 2020.
  19. Pedrelli P, Nyer M, Yeung A, Zulauf C, Wilens T. College students: mental health problems and treatment considerations. Academic Psychiatry. 2015;39(5):503-11.
  20. Scharl JC. Lonely and scared: college students’ culture of immaturity. Academic Questions. 2020:1-1.
  21. Meng H, Han W, Li W. The effect of interactive approach to teaching health psychology on mental health status of college students [J]. Chinese Journal of School Health. 2004; 25(2): 160-161. doi:10.3969/j.issn.1000-9817.2004.02.010. Available online: https://www.cnki.com.cn/Article/CJFDTotal-XIWS200402019.htm (accessed on 30 October, 2020). (In Chinese).
  22. Blanco C, Okuda M, Wright C, Hasin DS, Grant BF, Liu SM, Olfson M. Mental health of college students and their non–college-attending peers: Results from the national epidemiologic study on alcohol and related conditions. Archives of General Psychiatry. 2008;65(12):1429-37.
  23. Auerbach RP, Alonso J, Axinn WG, Cuijpers P, Ebert DD, Green JG, Hwang I, Kessler RC, Liu H, Mortier P, Nock MK. Mental disorders among college students in the World Health Organization world mental health surveys. Psychological Medicine. 2016;46(14):2955-70.
  24. Twenge JM, Cooper AB, Joiner TE, Duffy ME, Binau SG. Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005–2017. Journal of Abnormal Psychology. 2019;128(3):185.
  25. Ruthig JC, Haynes TL, Stupnisky RH, Perry RP. Perceived academic control: Mediating the effects of optimism and social support on college students’ psychological health. Social Psychology of Education. 2009;12(2):233-49.
  26. Beiter R, Nash R, McCrady M, Rhoades D, Linscomb M, Clarahan M, Sammut S. The prevalence and correlates of depression, anxiety, and stress in a sample of college students. Journal of Affective Disorders. 2015;173:90-6.
  27. Fisher M, Sang-Hun C. How South Korea flattened the curve. The New York Times. 2020 Mar 23;23.
  28. Cao W, Fang Z, Hou G, Han M, Xu X, Dong J, Zheng J. The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Research. 2020:112934.
  29. Sahu P. Closure of universities due to Coronavirus Disease 2019 (COVID-19): impact on education and mental health of students and academic staff. Cureus. 2020;12(4).
  30. Usher K, Durkin J, Bhullar N. The COVID‐19 pandemic and mental health impacts. International Journal of Mental Health Nursing. 2020;29(3):315.
  31. Lee SW. Circulating East to East: Understanding the push–pull factors of Chinese students studying in Korea. Journal of Studies in International Education. 2017;21(2):170-90.
  32. McCabe L. Mental health and study abroad: Responding to the concern. International Educator. 2005;14(6):52.
  33. Hunley HA. Students’ functioning while studying abroad: The impact of psychological distress and loneliness. International Journal of Intercultural Relations. 2010;34(4):386-92.
  34. Hasan H, Raigangar V, Osaili T, Neinavaei NE, Olaimat AN, Aolymat I. A cross-sectional study on university students’ knowledge, attitudes, and practices toward COVID-19 in the United Arab Emirates. The American Journal of Tropical Medicine and Hygiene. 2020:tpmd200857.
  35. Olaimat AN, Aolymat I, Elsahoryi N, Shahbaz HM, Holley RA. Attitudes, anxiety, and behavioral practices regarding COVID-19 among university students in Jordan: a cross-sectional study. The American Journal of Tropical Medicine and Hygiene. 2020;103(3):1177-83.
  36. Gallè F, Sabella EA, Da Molin G, De Giglio O, Caggiano G, Di Onofrio V, Ferracuti S, Montagna MT, Liguori G, Orsi GB, Napoli C. Understanding knowledge and behaviors related to COVID–19 epidemic in Italian undergraduate students: The EPICO study. International Journal of Environmental Research and Public Health. 2020;17(10):3481.
  37. Laddu D, Lavie CJ, Phillips SA, Arena R. Physical activity for immunity protection: Inoculating populations with healthy living medicine in preparation for the next pandemic. Progress in Cardiovascular Diseases. 2020.
  38. Rakhmanov O, Dane S. Knowledge and anxiety levels of African university students against COVID-19 during the pandemic outbreak by an online survey. Journal of Research in Medical and Dental Science. 2020;8(3):53-6.
  39. Husky MM, Kovess-Masfety V, Swendsen JD. Stress and anxiety among university students in France during Covid-19 mandatory confinement. Comprehensive Psychiatry. 2020;102:152191.
  40. Zhao B, Kong F, Aung MN, Yuasa M, Nam EW. Novel coronavirus (CoViD-19) knowledge, precaution practice, and associated depression symptoms among university students in Korea, China, and Japan. International Journal of Environmental Research and Public Health. 2020;17(18):6671.
  41. Ferrando SJ, Samton J, Mor N, Nicora S, Findler M, Apatoff B. Patient Health Questionnaire-9 to screen for depression in outpatients with multiple sclerosis. International Journal of MS Care. 2007;9(3):99-103.
  42. Kroenke K, Spitzer RL, Williams JB. The PHQ‐9: validity of a brief depression severity measure. Journal of General Internal Medicine. 2001;16(9):606-13.
  43. Spitzer RL, Kroenke K, Williams JB, Patient Health Questionnaire Primary Care Study Group. Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. JAMA. 1999;282(18):1737-44.
  44. Manea L, Gilbody S, McMillan D. Optimal cut-off score for diagnosing depression with the Patient Health Questionnaire (PHQ-9): a meta-analysis. CMAJ. 2012;184(3):E191-6.
  45. Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, Li Y. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. International Journal of Biological Sciences. 2020;16(10):1745.
  46. Liu X, Liu J, Zhong X. Psychological state of college students during COVID-19 epidemic. Available at SSRN 3552814: https://papers.ssrn.com/abstract=3552814 (accessed on 31 Dec, 2020).
  47. Choi S, Ki M. Estimating the reproductive number and the outbreak size of COVID-19 in Korea. Epidemiology and Health. 2020;42.
  48. Yoo JH, Hong ST. The outbreak cases with the novel coronavirus suggest upgraded quarantine and isolation in Korea. Journal of Korean Medical Science. 2020;35(5).
  49. Chen ZL, Zhang Q, Lu Y, Guo ZM, Zhang X, Zhang WJ, Guo C, Liao CH, Li QL, Han XH, Lu JH. Distribution of the COVID-19 epidemic and correlation with population emigration from Wuhan, China. Chinese Medical Journal. 2020.
  50. Huang Y, Wang Y, Wang H, Liu Z, Yu X, Yan J, Yu Y, Kou C, Xu X, Lu J, Wang Z. Prevalence of mental disorders in China: a cross-sectional epidemiological study. The Lancet Psychiatry. 2019;6(3):211-24.
  51. Chen The research on predictive model of depression among college students [D]. Zhejiang University, 2011. Available online: http://cdmd.cnki.com.cn/article/cdmd-10335-1012275447.htm (accessed on 30 October, 2020). (In Chinese).
  52. Ding Y, Du X, Li Q, Zhang M, Zhang Q, Tan X, Liu Q. Risk perception of coronavirus disease 2019 (COVID-19) and its related factors among college students in China during quarantine. PloS one. 2020;15(8):e0237626.
  53. Cinelli M, Quattrociocchi W, Galeazzi A, Valensise CM, Brugnoli E, Schmidt AL, Zola P, Zollo F, Scala A. The covid-19 social media infodemic. arXiv preprint arXiv:2003.05004. 2020 Mar 10.
  54. Nicomedes CJ, Avila RM. An analysis on the panic during COVID-19 pandemic through an online form. Journal of Affective Disorders. 2020;276:14-22.

Tables

Table 1. Demographics and general characteristics of the participants

Variables

International Group

(n = 171)

n (%)

Mainland Group

(n = 249)

n (%)

Total

(n = 420)

n (%)

t/χ2(Pearson)

p

Gender

 

 

Male

57 (33.33)

76 (30.52)

133 (31.67)

0.370

0.543

 

Female

114 (66.67)

173 (69.48)

287 (68.33)

Age

 

 

Mean ± S.D.

24.08 ± 4.14

22.12 ± 2.28

22.90 ± 3.30

5.427a

<0.001

Educational Level

 

 

Undergraduate

98 (57.31)

177 (71.08)

275 (65.48)

8.509

0.004

 

Graduate

73 (42.69)

72 (28.92)

145 (34.52)

Marital Status

 

 

Single

159 (92.98)

242 (97.19)

401 (95.48)

4.153

0.042

 

Married

12 (7.02)

7 (2.81)

19 (4.52)

Family Size

 

 

1 member

9 (5.26)

1 (0.40)

10 (2.38)

32.126

<0.001

 

2 members

24 (14.04)

8 (3.21)

32 (7.62)

 

3-5 members

134 (78.36)

221 ((88.76)

355 (84.52)

 

6 members or more

4 (2.34)

19 (7.63)

23 (5.48)

Medical Insurance

 

 

 

 

 

 

No

28(16.37)

16(6.43)

44(10.48)

10.699

0.001

 

Yes

143(83.63)

233(93.57)

376(89.52)

Chronic illness

 

 

No

159 (92.98)

232 (93.17)

391 (93.10)

0.006

0.940

 

Yes

12 (7.02)

17 (6.83)

29 (6.90)

Traveled abroad

 

 

No

166 (97.08)

244 (97.99)

410 (97.62)

0.366

0.545

 

Yes

5 (2.92)

5 (2.01)

10 (2.38)

Self-quarantined

 

 

No

29 (16.96)

119 (47.79)

148 (35.24)

42.230

<0.001

 

Yes

142(83.04)

130 (52.21)

272 (64.76)

Self-assessephysical condition

 

 

Above good 

153 (89.47)

227 (91.16)

380 (90.48)

1.206

0.752

 

Below fair

18 (10.53)

22 (8.84)

40 (9.52)

Note: International Group refers to Chinese college students studying in South Korea and Mainland Group refers to Chinese college students studying in Mainland China. a: t-test


 

Table 2. Differences in knowledge about COVID-19

Variables

International Group

(n = 171)

n (%)

Mainland Group

(n = 249)

n (%)

Total

(n = 420)

n (%)

t/χ2(Pearson)

p

Route of transmission

 

 

 

Droplets (agree)

171 (100)

248 (99.60)

419 (99.76)

0.688

0.407

 

Objects (agree)

145 (84.80)

228 (91.57)

373 (88.81)

6.213

0.045

 

Air (agree)

116 (67.84)

165 (66.27)

281 (66.90)

1.037

0.595

Updated information

 

 

 

Infected cases (yes)

168 (98.25)

249 (100)

417 (99.29)

4.400

0.036

 

Death cases (yes)

169 (98.93)

247 (99.20)

416 (99.05)

0.144

0.704

 

Recovered cases (yes)

163 (95.32)

245 (98.39)

408 (97.14)

3.447

0.063

Number of information source

 

 

 

 

 

1~3

161 (94.15)

226 (90.76)

387 (92.14)

1.608

0.205

 

4~6

10 (5.85)

23 (9.24)

33 (7.86)

Information satisfaction

 

 

 

 

 

 

Above Satisfied

157 (91.81)

239 (95.98)

396 (94.3)

3.274

0.070

 

Below dissatisfied

14 (8.19)

10 (4.02)

24 (5.7)

Confidence about diagnosis

 

 

 

Highly confident

101 (59.06)

192 (77.11)

293 (69.76)

15.647

<0.001

 

Lowly confident

70 (40.93)

57 (22.89)

127 (30.24)

Concern about this disease

 

 

 

 

Highly

123 (61.93)

155 (62.25)

278 (66.19)

4.246

0.039

 

Lowly

48 (38.07)

94 (37.75)

142 (33.81)

Perceived probability 

 

 

 

Get infected (high)

59 (34.50)

48 (19.28)

107 (25.48)

12.379

<0.001

 

Survive after infection (high)

157 (91.81)

216 (86.74)

373 (88.81)

2.618

0.106

Concern about family members

 

 

 

Highly

139 (81.29)

192 (77.11)

331 (78.81)

1.060

0.303

 

Lowly

32 (18.71)

57 (22.89)

89 (21.19)

Knowledge score

 

 

 

Mean ± S.D

13.95 ± 1.88

13.99 ± 1.92

13.97 ± 1.90

-0.184a

0.854

Note: a: t-test

 


Table 3. Preventive practices taken against COVID-19 by Chinese university students in mainland China and South Korea

Mean ± S.D6. 

Variables(Score: 1–5)

International Group

(n = 171)

Mainland Group

(n = 249)

Total

(n = 420)

t

1. Wearing mask regardless of the presence or absence of symptoms

4.32 ± 0.79

4.27 ± 0.89

4.30 ± 0.86

0.52

2. Covering mouth when coughing and sneezing

4.67 ± 0.80

4.36 ± 1.02

4.49 ± 0.95

3.28 ***

3. Washing hands with soap and water

4.84 ± 0.44

4.62 ± 0.66

4.71 ± 0.59

2.83 ***

4. Washing hands immediately after coughing, rubbing nose, or sneezing

4.18 ± 1.05

3.98 ± 1.13

4.06 ± 1.10

1.76*

5. Washing hands after touching contaminated objects

4.93 ± 0.38

4.47 ± 0.78

4.66 ± 0.69

7.11 ***

6.Avoiding public transportation

4.73 ± 0.66

4.58 ± 0.72

4.65 ± 0.70

2.23 *

7. Avoiding elevators

3.44 ± 1.40

4.18 ± 1.19

3.88 ± 1.33

−5.81 ***

8. Sitting in one row while having a meal

2.80 ± 1.70

4.22 ± 1.18

3.64 ± 1.57

−10.13 ***

9. Avoiding meeting more than 10 people

4.74 ± 0.89

4.76 ± 0.62

4.75 ± 0.74

−0.22

Note:*< 0.05; ***< 0.001.


Table 4. Difference in depressive states between the students in mainland China and South Korea

 

PHQ-9

 

International Group

(n = 171)

n (%)

Mainland Group

(= 249)

n (%)

Total

(n = 420)

n (%)

 

 

 

 

Total scorea

 

 

7.20 ± 0.41

6.20 ± 0.31

6.60 ± 5.14

 

 

 

 

Minimal-to-mildb

 

 

122 (71.35)

202 (81.12)

324 (77.14)

χ2 = 5.50 *

 

 

 

Moderate-to-severeb

 

 

49 (28.65)

47 (18.88)

96 (22.86)

Note: a: the value of the total score of PHQ-9 here is Mean±SD; b: 10 cut-off score; *< 0.05.



 Table 5. Stepwise regression analysis on related factors of depression due to COVID-19

Dependent Variable

Independent Variables

β

 

S.E.

β’

 

t

 

p

[95% C.I.]

 

 

PHQ-9 Scores

Constant

13.793

3.186

 

4.329

0.000

7.501

20.084

Concern on family members

1.069

0.386

0.205

2.772

0.006

0.308

1.890

Patients contact history

0.574

0.231

0.185

2.489

0.014

0.119

1.030

Information Satisfaction

-1.351

0.671

-0.148

-2.013

0.046

-2.676

-0.026

Self-assessed physical condition

-1.491

0.594

-0.179

-2.509

0.050

-2.388

-0.002

Note: S.E.= Standardized Error; C.I.= Confidence Interval.

  

 

Table 6. Hierarchical regression analysis on determinants of depression using PHQ-9 during COVID-19 (n = 420)

                PHQ-9

Variables

Model 1

 

Model 2

 

Model 3

 

Model 4

β

t(p)

 

β

t(p)

 

β

t(p)

 

β

t(p)

Constant

12.122

3.439***

 

13.137

3.713***

 

11.586

3.296***

 

10.264

2.936**

Preventive practice score

-0.165

-3.221***

 

-0.155

-3.027**

 

-0.139

-2.745**

 

-0.138

-2.749**

Age

0.199

1.691

 

0.214

1.823

 

0.213

1.842

 

0.225

1.966*

Gender 

 

 

 

 

 

 

 

 

 

 

 

Male

(ref)

 

 

(ref)

 

 

(ref)

 

 

(ref)

 

Female

-0.145

-0.547

 

-0.097

-0.178

 

-0.020

-0.037

 

-0.231

-0.431

Educational level

 

 

 

 

 

 

 

 

 

 

 

Undergraduates

(ref)

 

 

(ref)

 

 

(ref)

 

 

(ref)

 

Graduates

-0.401

-0.531

 

-0.466

-0.620

 

-0.609

-0.820

 

-0.706

-0.963

Marital status 

 

 

 

 

 

 

 

 

 

 

 

Single

(ref)

 

 

(ref)

 

 

(ref)

 

 

(ref)

 

Married

-0.990

-.0742

 

-1.186

-0.892

 

-0.938

-0.714

 

-0.898

-0.693

Knowledge belief score

-0.142

-1.025

 

-0.149

-1.081

 

--0.109

-0.836

 

-0.165

-1.279

Information satisfaction

 

 

 

 

 

 

 

 

 

 

 

Lowly

(ref)

 

 

(ref)

 

 

(ref)

 

 

(ref)

 

Highly

-1.517

-1.415

 

-1.486

-1.392

 

-1.316

-1.249

 

-1.486

-1.426

Self-assessed physical condition

 

 

 

 

 

 

 

 

 

 

 

Below fair

 

 

 

(ref)

 

 

(ref)

 

 

(ref)

 

Above good

 

 

 

-1.865

-2.208*

 

-1.702

-2.040*

 

-1.501

-1.820

Contact patients history

 

 

 

 

 

 

 

 

 

 

 

No

 

 

 

 

 

 

(ref)

 

 

(ref)

 

Yes

 

 

 

 

 

 

-2.842

-0.983

 

-2.900

-1.015

Not sure

 

 

 

 

 

 

4.413

3.539***

 

4.069

3.287***

Concern on family members

 

 

 

 

 

 

 

 

 

 

 

Lowly

 

 

 

 

 

 

 

 

 

(ref)

 

Highly

 

 

 

 

 

 

 

 

 

1.580

2.624**

Concern on this disease

 

 

 

 

 

 

 

 

 

 

 

Lowly

 

 

 

 

 

 

 

 

 

(ref)

 

Highly

 

 

 

 

 

 

 

 

 

1.098

2.081*

F

2.778**

 

3.063**

 

3.875***

 

4.456***

0.045

 

0.056

 

0.087

 

0.116

Adjusted R²

0.029

 

0.038

 

0.064

 

0.090

Durbin-Watson

1.972

Note:*< 0.05; **< 0.01; ***< 0.001.