Factors Associated with Mental Health among International Students during the COVID-19 Pandemic in South Korea
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Source
2.2. Sampling Technique
2.3. Measures
2.4. Data Analysis
2.5. Ethical Issues
3. Results
3.1. Frequency for General Characteristic Variables
3.2. Prevalence of Sleep Problems, Anxiety, and Depression among International Students during the COVID-19 Pandemic
3.3. Bivariate Analyses Comparing Sociodemographic Characteristics and Mental Health
3.4. Factors Associated with Mental Health Problems among International Students during the COVID-19
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Ammar, A.; Chtourou, H.; Boukhris, O.; Trabelsi, K.; Masmoudi, L.; Brach, M.; Bouaziz, B.; Bentlage, E.; How, D.; Ahmed, M.; et al. Social participation and life satisfaction of peoples during the COVID-19 home confinement: The ECLB-COVID19 multicenter study. medRxiv 2020. [Google Scholar] [CrossRef]
- Zhai, Y.; Du, X. Mental health care for international Chinese students affected by the COVID-19 outbreak. Lancet Psychiatry 2020, 7, e22. [Google Scholar] [CrossRef]
- Grover, S.; Sahoo, S.; Mehra, A.; Avasthi, A.; Tripathi, A.; Subramanyan, A.; Pattojoshi, A.; Rao, G.P.; Saha, G.; Mishra, K.K.; et al. Psychological impact of COVID-19 lockdown: An online survey from India. Indian J. Psychiatry 2020, 62, 354–362. [Google Scholar] [CrossRef] [PubMed]
- Shim, E.H.; Tariq, A.; Choi, W.Y.; Lee, Y.S.; Chowell, G. Transmission potential and severity of COVID-19 in South Korea. Int. J. Infect. Dis. 2020, 93, 339–344. [Google Scholar] [CrossRef] [PubMed]
- Kim, S.Y.; Kim, Y.J.; Peck, K.R.; Ko, Y.S.; Lee, J.; Jung, E. Keeping low reproductive number despite the rebound population mobility in Korea, a country never under lockdown during the COVID-19 pandemic. Int. J. Environ. Res. Public Health 2020, 17, 9551. [Google Scholar] [CrossRef]
- Seong, H.; Hyun, H.J.; Yun, J.G.; Noh, J.Y.; Cheong, H.J.; Kim, W.J.; Song, J.Y. Comparison of the second and third waves of the COVID-19 pandemic in South Korea: Importance of early public health intervention. Int. J. Infect. Dis. 2021, 104, 742–745. [Google Scholar] [CrossRef]
- Ko, J.W.; Paek, S.S.; Park, S.Y.; Park, J.W. A news big data analysis of issues in higher education in Korea amid the COVID-19 pandemic. Sustainability 2021, 13, 7347. [Google Scholar] [CrossRef]
- Deng, J.; Zhou, F.; Hou, W.; Silver, Z.; Wong, C.Y.; Chang, O.; Drakos, A.; Zuo, Q.K.; Huang, E. The prevalence of depressive symptoms, anxiety symptoms and sleep disturbance in higher education students during the COVID-19 pandemic: A systematic review and meta-analysis. Psychiatry Res. 2021, 301, 113863. [Google Scholar] [CrossRef]
- Ulrich, A.K.; Full, K.M.; Cheng, B.; Gravagna, K.; Nederhoff, D.; Basta, N.E. Stress, anxiety, and sleep among college and university students during the COVID-19 pandemic. J. Am. Coll. Health 2021, 1–5. [Google Scholar] [CrossRef]
- Yu, M.; Tian, F.; Cui, Q.; Wu, H. Prevalence and its associated factors of depressive symptoms among Chinese college students during the COVID-19 pandemic. BMC Psychiatry 2021, 21, 66. [Google Scholar] [CrossRef] [PubMed]
- Wang, X.; Hegde, S.; Son, C.; Keller, B.; Smith, A.; Sasangohar, F. Investigating mental health of US college students during the COVID-19 pandemic: Cross-sectional survey study. J. Med. Internet Res. 2020, 22, e22817. [Google Scholar] [CrossRef] [PubMed]
- Sun, S.; Goldberg, S.B.; Lin, D.; Qiao, S.; Operario, D. Psychiatric symptoms, risk, and protective factors among university students in quarantine during the COVID-19 pandemic in China. Glob. Health 2021, 17, 15. [Google Scholar] [CrossRef]
- Lai, A.Y.K.; Lee, L.; Wang, M.P.; Feng, Y.; Lai, T.T.K.; Ho, L.M.; Lam, V.S.F.; Ip, M.S.M.; Lam, T.H. Mental health impacts of the COVID-19 pandemic on international university students, related stressors, and coping strategies. Front. Psychiatry 2020, 11, 584240. [Google Scholar] [CrossRef] [PubMed]
- Song, B.; Zhao, Y.; Zhu, J. COVID-19-related traumatic effects and psychological reactions among international students. J. Epidemiol. Glob. Health 2021, 11, 117–123. [Google Scholar] [CrossRef]
- Chen, J.H.; Li, Y.; Wu, A.M.S.; Tong, K.K. The overlooked minority: Mental health of international students worldwide under the COVID-19 pandemic and beyond. Asian J. Psychiatry 2020, 54, 102333. [Google Scholar] [CrossRef] [PubMed]
- Bendau, A.; Petzold, M.B.; Pyrkosch, L.; Mascarell Maricic, L.; Betzler, F.; Rogoll, J.; Große, J.; Ströhle, A.; Plag, J. Associations between COVID-19 related media consumption and symptoms of anxiety, depression and COVID-19 related fear in the general population in Germany. Eur. Arch. Psychiatry Clin. Neurosci. 2021, 271, 283–291. [Google Scholar] [CrossRef] [PubMed]
- Wathelet, M.; Duhem, S.; Vaiva, G.; Baubet, T.; Habran, E.; Veerapa, E.; Debien, C.; Molenda, S.; Horn, M.; Grandgenèvre, P.; et al. Factors associated with mental health disorders among university students in France confined during the COVID-19 pandemic. JAMA Netw. Open 2020, 3, e2025591. [Google Scholar] [CrossRef]
- 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 Res. 2020, 287, 112934. [Google Scholar] [CrossRef]
- Zhang, C.; Wang, T.; Zeng, P.; Zhao, M.; Zhang, G.; Zhai, S.; Meng, L.; Wang, Y.; Liu, D. Reliability, validity, and measurement invariance of the general anxiety disorder scale among Chinese medical university students. Front. Psychiatry 2021, 12, 648755. [Google Scholar] [CrossRef] [PubMed]
- Levis, B.; Sun, Y.; He, C.; Wu, Y.; Krishnan, A.; Bhandari, P.M.; Neupane, D.; Imran, M.; Brehaut, E.; Negeri, Z.; et al. Accuracy of the PHQ-2 alone and in combination with the PHQ-9 for screening to detect major depression: Systematic review and meta-analysis. JAMA 2020, 323, 2290–2300. [Google Scholar] [CrossRef] [PubMed]
- Leung, D.Y.P.; Mak, Y.W.; Leung, S.F.; Chiang, V.C.L.; Loke, A.Y. Measurement invariances of the PHQ-9 across gender and age groups in Chinese adolescents. Asia Pac. Psychiatry 2020, 12, e12381. [Google Scholar] [CrossRef]
- Zhao, B.; Kong, F.; Aung, M.N.; Yuasa, M.; Nam, E.W. Novel coronavirus (COVID-19) knowledge, precaution practice, and associated depression symptoms among university students in Korea, China, and Japan. Int. J. Environ. Res. Public Health 2020, 17, 6671. [Google Scholar] [CrossRef] [PubMed]
- Zhao, B.; Kong, F.; Nam, E.W. Assessing Knowledge, preventive practices, and depression among Chinese university students in Korea and China during the COVID-19 pandemic: An online cross-sectional study. Healthcare 2021, 9, 433. [Google Scholar] [CrossRef] [PubMed]
- Leighton, K.; Kardong-Edgren, S.; Schneidereith, T.; Foisy-Doll, C. Using social media and snowball sampling as an alternative recruitment strategy for research. Clin. Simul. Nurs. 2021, 55, 37–42. [Google Scholar] [CrossRef]
- Stokes, E.K.; Zambrano, L.D.; Anderson, K.N.; Marder, E.P.; Raz, K.M.; El Burai Felix, S.; Tie, Y.; Fullerton, K.E. Coronavirus disease 2019 case surveillance–United States, January 22–May 30, 2020. MMWR Morb. Mortal. Wkly. Rep. 2020, 69, 759–765. [Google Scholar] [CrossRef] [PubMed]
- Lee, H.J.; Kim, Y.W.; Kim, E.S.; Lee, S.M. Risk assessment of importation and local transmission of COVID-19 in South Korea: Statistical modeling approach. JMIR Public Health Surveill. 2021, 7, e26784. [Google Scholar] [CrossRef] [PubMed]
- Ma, H.; Miller, C. Trapped in a double bind: Chinese overseas student anxiety during the COVID-19 pandemic. Health Commun. 2020, 12, 1–8. [Google Scholar] [CrossRef] [PubMed]
- Korean Society for Traumatic Stress Studies. The Third Survey on the Mental Health of the People in COVID-19. Available online: http://kstss.kr/?page_id=571 (accessed on 10 January 2021).
- Lee, J.H.; Lee, D.; Hyun, S.; Hong, J.S.; Kim, C.H.; Kim, W.; Sim, M. Online mental health assessments of COVID-19 patients in South Korea. Front. Psychiatry 2021, 12, 685445. [Google Scholar] [CrossRef]
- Browning, M.H.; Larson, L.R.; Sharaievska, I.; Rigolon, A.; McAnirlin, O.; Mullenbach, L.; Cloutier, S.; Vu, T.M.; Thomsen, J.; Reigner, N. Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States. PLoS ONE 2021, 16, e0245327. [Google Scholar] [CrossRef]
- Aristovnik, A.; Keržič, D.; Ravšelj, D.; Tomaževič, N.; Umek, L. Impacts of the COVID-19 pandemic on life of higher education students: A global perspective. Sustainability 2020, 12, 8438. [Google Scholar] [CrossRef]
- Elhai, J.D.; Yang, H.; McKay, D.; Asmundson, G.J.G. COVID-19 anxiety symptoms associated with problematic smartphone use severity in Chinese adults. J. Affect. Disord. 2020, 274, 576–582. [Google Scholar] [CrossRef] [PubMed]
- Lee, J.M.; Jeong, H.J.; Kim, S.J. Stress, anxiety, and depression among undergraduate students during the COVID-19 pandemic and their use of mental health services. Innov. High Educ. 2021, 23, 1–20. [Google Scholar]
- Guo, Y.; Cheng, C.; Zeng, Y.; Li, Y.; Zhu, M.; Yang, W.; Xu, H.; Li, X.; Leng, J.; Monroe-Wise, A.; et al. Mental health disorders and associated risk factors in quarantined adults during the COVID-19 outbreak in China: Cross-sectional study. J. Med. Internet Res. 2020, 22, e20328. [Google Scholar] [CrossRef]
- Nirmita, P.; Rabah, K.; Cynthia, C.; Rachel, G. The Implications of COVID-19 for Mental Health and Substance Use. Available online: https://www.kff.org/coronavirus-COVID-19/issue-brief/the-implications-of-COVID-19-for-mental-health-and-substance-use/ (accessed on 1 May 2021).
- Suh, S.Y.; Cho, N.Y.; Zhang, J.H. Sex differences in insomnia: From epidemiology and etiology to intervention. Curr. Psychiatry Rep. 2018, 20, 69. [Google Scholar] [CrossRef]
- Gualano, M.R.; Lo Moro, G.; Voglino, G.; Bert, F.; Siliquini, R. Effects of COVID-19 lockdown on mental health and sleep disturbances in Italy. Int. J. Environ. Res. Public Health 2020, 17, 4779. [Google Scholar] [CrossRef] [PubMed]
- Cénat, J.M.; Blais-Rochette, C.; Kokou-Kpolou, C.K.; Noorishad, P.G.; Mukunzi, J.N.; McIntee, S.E.; Dalexis, R.D.; Goulet, M.A.; Labelle, P.R. Prevalence of symptoms of depression, anxiety, insomnia, posttraumatic stress disorder, and psychological distress among populations affected by the COVID-19 pandemic: A systematic review and meta-analysis. Psychiatry Res. 2021, 295, 113599. [Google Scholar] [CrossRef] [PubMed]
- Stroud, I.; Gutman, L.M. Longitudinal changes in the mental health of UK young male and female adults during the COVID-19 pandemic. Psychiatry Res. 2021, 303, 114074. [Google Scholar] [CrossRef]
- Gunnell, D.; Caul, S.; Appleby, L.; John, A.; Hawton, K. The incidence of suicide in University students in England and Wales 2000/2001-2016/2017: Record linkage study. J. Affect Disord. 2020, 261, 113–120. [Google Scholar] [CrossRef] [PubMed]
- Kim, H.J.; OH, S.A.; Cho, M.S. The effects of self-efficacy, depression, and anger on first year students regarding their learning persistence in online classes under COVID-19. Korean J. General Educ. 2020, 14, 299–308. [Google Scholar] [CrossRef]
- Liu, L.; Xue, P.; Li, S.X.; Zhang, J.; Zhou, J.; Zhang, W. Urban-rural disparities in mental health problems related to COVID-19 in China. Gen. Hosp. Psychiatry 2021, 69, 119–120. [Google Scholar] [CrossRef] [PubMed]
- Jung, S.J.; Jun, J.Y. Mental health and psychological intervention amid COVID-19 outbreak: Perspectives from South Korea. Yonsei Med. J. 2020, 61, 271–272. [Google Scholar] [CrossRef] [PubMed]
Characteristics | Frequency | Percentage |
---|---|---|
Sex | ||
Male | 204 | 41.8 |
Female | 284 | 58.2 |
Age (years) | ||
20–24 | 110 | 22.5 |
25–30 | 312 | 63.9 |
>30 | 66 | 13.6 |
Currently studying | ||
For an undergraduate | 159 | 32.6 |
For a postgraduate | 329 | 67.4 |
Living arrangement | ||
Living alone | 355 | 72.7 |
Living with someone | 133 | 27.3 |
Monthly income | ||
None | 53 | 10.9 |
883 | 353 | 72.3 |
883 | 82 | 16.8 |
Location of university | ||
Urban | 113 | 23.2 |
Rural | 375 | 76.8 |
Understanding level of Korean media | ||
Good | 276 | 56.6 |
Poor | 212 | 43.4 |
Daily average number of hours of media usage about COVID-19 | ||
<2 h | 344 | 70.5 |
h | 144 | 29.5 |
COVID-19 symptom experience | ||
No | 307 | 62.9 |
Yes | 181 | 37.1 |
Experience of clinical care due to contact with a confirmed case of COVID-19 | ||
No | 415 | 85.0 |
Yes | 73 | 15.0 |
Variables | Classification | Frequency | Percentage |
---|---|---|---|
Sleep problems | No | 258 | 52.9 |
Yes | 230 | 47.1 | |
Anxiety (GAD-7) | Without anxiety symptoms (0–4) | 295 | 60.5 |
With mild anxiety symptoms (5–9) | 162 | 33.2 | |
With moderate anxiety symptoms (10–13) | 31 | 6.4 | |
Depression (PHQ-9) | Without depression symptoms (0–4) | 249 | 51.0 |
With mild depression symptoms (5–9) | 166 | 34.0 | |
With moderate depression symptoms (10–14) | 39 | 8.0 | |
With moderate to severe depression symptoms (15–19) | 34 | 7.0 |
Variables | Sleep Problems | Anxiety (GAD-7) | Depression (PHQ-9) | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
No | Yes | χ2 | p | No | Yes | χ2 | p | No | Yes | χ2 | p | |
Gender | 14.70 | <0.001 | 4.51 | 0.034 | 41.50 | <0.001 | ||||||
Male | 87 (42.6) | 117 (57.4) | 112 (54.9) | 92 (45.1) | 69 (33.8) | 135 (66.2) | ||||||
Female | 171 (60.2) | 113 (39.8) | 183 (64.4) | 101 (35.6) | 180 (63.4) | 104 (36.6) | ||||||
Age (years) | 7.30 | 0.026 | 3.76 | 0.153 | 0.82 | 0.663 | ||||||
20–24 | 54 (49.1) | 56 (50.9) | 66 (60.0) | 44 (40.0) | 53 (48.2) | 57 (51.8) | ||||||
25–30 | 159 (51.0) | 153 (49.0) | 196 (62.8) | 116 (37.2) | 164 (52.6) | 148 (47.4) | ||||||
>30 | 45 (68.2) | 21 (31.8) | 33 (50.0) | 33 (50.0) | 32 (48.5) | 34 (51.5) | ||||||
Currently studying | 7.40 | 0.007 | 12.81 | <0.001 | 13.66 | <0.001 | ||||||
For an undergraduate | 70 (44.0) | 89 (56.0) | 78 (49.1) | 81 (50.9) | 62 (39.0) | 97 (61.0) | ||||||
For a postgraduate | 188 (57.1) | 141 (42.9) | 217 (66.0) | 112 (34.0) | 187 (56.8) | 142 (43.2) | ||||||
Living arrangement | 88.98 | <0.001 | 14.64 | <0.001 | 53.20 | <0.001 | ||||||
Living alone | 234 (65.9) | 121 (34.1) | 233 (65.6) | 122 (34.4) | 217 (61.1) | 138 (38.9) | ||||||
Living with someone | 24 (18.0) | 109 (82.0) | 62 (46.6) | 71 (53.4) | 32 (24.1) | 101 (75.9) | ||||||
Monthly income | 26.99 | <0.001 | 4.82 | 0.090 | 68.96 | <0.001 | ||||||
None | 23 (43.4) | 30 (56.6) | 28 (52.8) | 25 (47.2) | 36 (67.9) | 17 (32.1) | ||||||
883 | 211 (59.8) | 142 (40.2) | 224 (63.5) | 129 (36.5) | 205 (58.1) | 148 (41.9) | ||||||
883 | 24 (29.3) | 58 (70.7) | 43 (52.4) | 39 (47.6) | 8 (9.8) | 74 (90.2) | ||||||
Location of university | 9.40 | 0.002 | 9.86 | 0.002 | 8.20 | 0.004 | ||||||
Urban | 74 (65.5) | 39 (34.5) | 54 (47.8) | 59 (52.2) | 71 (62.8) | 42 (37.2) | ||||||
Rural | 184 (49.1) | 191 (50.9) | 241 (64.3) | 134 (35.7) | 178 (47.5) | 197 (52.5) | ||||||
Understanding level of Korean media | 7.45 | 0.006 | 23.30 | <0.001 | 15.90 | <0.001 | ||||||
Good | 131 (47.5) | 145 (52.5) | 141 (51.1) | 135 (48.9) | 119 (43.1) | 157 (56.9) | ||||||
Poor | 127 (59.9) | 85 (40.1) | 154 (72.6) | 58 (27.4) | 130 (61.3) | 82 (38.7) | ||||||
Daily average number of hours of media usage about COVID-19 | 0.68 | 0.411 | 4.16 | 0.041 | 3.54 | 0.060 | ||||||
<2 h | 186 (54.1) | 158 (45.9) | 218 (63.4) | 126 (36.6) | 185 (53.8) | 159 (46.2) | ||||||
h | 72 (50.0) | 72 (50.0) | 77 (53.5) | 67 (46.5) | 64 (44.4) | 80 (55.6) | ||||||
COVID-19 symptom experience | 64.24 | <0.001 | 13.85 | <0.001 | 28.26 | <0.001 | ||||||
No | 205 (66.8) | 102 (33.2) | 205 (66.8) | 102 (33.2) | 185 (60.3) | 122 (39.7) | ||||||
Yes | 53 (29.3) | 128 (70.7) | 90 (49.7) | 91 (50.3) | 64 (35.4) | 117 (64.6) | ||||||
Experience of clinical care due to contact with a confirmed case of COVID-19 | 60.51 | <0.001 | 46.00 | <0.001 | 17.02 | <0.001 | ||||||
No | 250 (60.2) | 165 (39.8) | 277 (66.7) | 138 (33.3) | 228 (54.9) | 187 (45.1) | ||||||
Yes | 8 (11.0) | 65 (89.0) | 18 (24.7) | 55 (75.3) | 21 (28.8) | 52 (71.2) |
Variables | Sleep Problems | |||
---|---|---|---|---|
B | p | aOR | 95% CI | |
Age (years) | ||||
20–24 | 1.00 | 1.00 | ||
25–30 | 0.82 | 0.801 | 1.09 | 0.58–2.05 |
>30 | −1.93 | 0.001 | 0.15 | 0.05–0.45 |
Living arrangement | ||||
Living alone | 1.00 | 1.00 | ||
Living with someone | 2.62 | <0.001 | 13.68 | 7.05–26.55 |
Location of university | ||||
Urban | 1.00 | 1.00 | ||
Rural | 0.86 | 0.031 | 2.36 | 1.08–5.15 |
COVID-19 symptoms experience | ||||
No | 1.00 | 1.00 | ||
Yes | 2.17 | <0.001 | 8.72 | 4.72–16.11 |
Experience of clinical care due to contact with a confirmed case of COVID-19 | ||||
No | 1.00 | 1.00 | ||
Yes | 3.32 | <0.001 | 27.78 | 10.17–75.86 |
Variables | Anxiety (GAD-7) | |||
---|---|---|---|---|
B | p | aOR | 95% CI | |
Currently studying | ||||
For an undergraduate | 1.00 | 1.00 | ||
For a postgraduate | −1.03 | <0.001 | 0.36 | 0.22–0.58 |
Living arrangement | ||||
Living alone | 1.00 | 1.00 | ||
Living with someone | 0.54 | 0.027 | 1.72 | 1.06–2.79 |
Location of university | ||||
Urban | 1.00 | 1.00 | ||
Rural | −1.08 | <0.001 | 0.34 | 0.20–0.60 |
Understanding level of Korean media | ||||
Good | 1.00 | 1.00 | ||
Poor | −1.16 | <0.001 | 0.31 | 0.19–0.52 |
Experience of clinical care due to contact with a confirmed case of COVID-19 | ||||
No | 1.00 | 1.00 | ||
Yes | 2.11 | <0.001 | 8.29 | 4.31–15.94 |
Variables | Depression (PHQ-9) | |||
---|---|---|---|---|
B | p | aOR | 95% CI | |
Gender | ||||
Male | 1.00 | 1.00 | ||
Female | −1.15 | <0.001 | 0.32 | 0.20–0.50 |
Currently studying | ||||
For an undergraduate | 1.00 | 1.00 | ||
For a postgraduate | −0.65 | 0.013 | 0.52 | 0.31–0.87 |
Living arrangement | ||||
Living alone | 1.00 | 1.00 | ||
Living with someone | 1.08 | <0.001 | 2.93 | 1.71–5.01 |
Monthly income | ||||
None | 1.00 | 1.00 | ||
883 | 1.44 | 0.001 | 4.23 | 1.86–9.60 |
883 | 3.38 | <0.001 | 29.39 | 9.71–88.95 |
Daily average number of hours of media usage about COVID-19 | ||||
<2 h | 1.00 | 1.00 | ||
h | 0.82 | 0.002 | 2.28 | 1.34–3.88 |
COVID-19 symptoms experience | ||||
No | 1.00 | 1.00 | ||
Yes | 0.89 | 0.001 | 2.44 | 1.44–4.13 |
Experience of clinical care due to contact with a confirmed case of COVID-19 | ||||
No | 1.00 | 1.00 | ||
Yes | 1.53 | <0.001 | 4.60 | 2.24–9.44 |
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Kim, H.R.; Kim, E.J. Factors Associated with Mental Health among International Students during the COVID-19 Pandemic in South Korea. Int. J. Environ. Res. Public Health 2021, 18, 11381. https://doi.org/10.3390/ijerph182111381
Kim HR, Kim EJ. Factors Associated with Mental Health among International Students during the COVID-19 Pandemic in South Korea. International Journal of Environmental Research and Public Health. 2021; 18(21):11381. https://doi.org/10.3390/ijerph182111381
Chicago/Turabian StyleKim, Hae Ran, and Eun Jung Kim. 2021. "Factors Associated with Mental Health among International Students during the COVID-19 Pandemic in South Korea" International Journal of Environmental Research and Public Health 18, no. 21: 11381. https://doi.org/10.3390/ijerph182111381
APA StyleKim, H. R., & Kim, E. J. (2021). Factors Associated with Mental Health among International Students during the COVID-19 Pandemic in South Korea. International Journal of Environmental Research and Public Health, 18(21), 11381. https://doi.org/10.3390/ijerph182111381