Novel Coronavirus (COVID-19) Knowledge, Precaution Practice, and Associated Depression Symptoms among University Students in Korea, China, and Japan
Abstract
:1. Introduction
2. Methods
2.1. Participants
2.2. Procedure
2.3. Measures
- Demographic and physical health status data elicited from the respondents included gender, age, educational level, marital status, work status, self-assessed physical condition, chronic diseases, potential symptoms, travel abroad, and whether or not they were quarantined in the past 2 weeks.
- Knowledge of COVID-19 was assessed using items related to the transmission pathways (Agree, Disagree), the disease information (Yes, No), and the sources of COVID-19 information (Internet, TV, Radio, News, Family, Others). The questions on the perception of COVID-19 consisted of the history of contact (Yes, No/Not sure), information satisfaction (5 levels, ranging from “Dissatisfied” to “Satisfied”), diagnosis confidence (5 levels; “Not confident”—“Very confident”), probability of getting infected and surviving (5 levels; “Low—“High”), and concerns about family members and the disease (5 levels: “Low—“High”). High scores indicated a high level of certainty.
- Precautionary measures comprised of nine preventative practices. The norm was set by the degree of measures practiced on a daily basis (1 = “I never do this” to 5 = “I do this every day”), generating a total score of nine (9 × 1~9 × 5). Cronbach’s Alpha coefficient of preventive practices of the COVID-19 scale was 0.71.
- The PHQ-9, published by the American Psychiatric Association, was used to diagnose depressive symptoms based on the nine criteria for depression set by the Diagnostic and Statistical Manual of Mental Disorders [31]. Each item was rated on a 4-point scale ranging from 0 (“Not at all”) to 3 (“Almost every day”) [32]. The scoring criteria of PHQ-9 were divided into five groups: 0–4, 5–9, 10–14, 15–19, and 20–27, which corresponded to “minimal or none,” “mild,” “moderate,” “moderately severe,” and “severe” depression, respectively [33]. The higher the score, the more intense the level of depression. Cronbach’s Alpha coefficient of the scale in this study was 0.87.
2.4. Statistical Analysis
3. Results
3.1. General Demographic and Physical Health Data
3.2. Knowledge and Perception of COVID-19
3.3. Preventative Practices against COVID-19
3.4. Respondents’ Depressive States
4. Discussion
4.1. Knowledge and Preventative Practices
4.2. Depression Symptoms
4.3. Limitations and Future Research
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- World Health Organization (WHO). Health Emergency Highlights. Available online: https://www.who.int/emergencies/news/highlights/en/ (accessed on 14 May 2020).
- Hui, D.S.; Azhar, E.I.; Madani, T.A.; Ntoumi, F.; Kock, R.; Dar, O.; Ippolito, G.; Mchugh, T.D.; Memish, Z.A.; Drosten, C.; et al. The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health: The latest 2019 novel coronavirus outbreak in Wuhan, China. Int. J. Infect. Dis. 2020, 91, 264–266. [Google Scholar] [CrossRef] [Green Version]
- World Health Organization (WHO). WHO Director-General’s Opening Remarks at the Media Briefing on COVID-19 (Press Release). Available online: https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020 (accessed on 12 March 2020).
- 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 8 April 2020).
- Shin, H.; Cha, S. Like a Zombie Apocalypse: Residents on Edge as Coronavirus Cases Surge in South Korea. Thomson Reuters. Archived from the Original on 20 (2020). Available online: https://cn.reuters.com/article/us-china-health-southkorea-cases/like-a-zombie-apocalypse-residents-on-edge-as-coronavirus-cases-surge-in-south-korea-idUSKBN20E04F (accessed on 14 May 2020).
- China, S. Korea, Japan Hold Video Meet over COVID-19. China Proposes Trilateral Cooperation to Contain Pandemic and Share Its Experiences at Foreign Ministers’ Meeting. Riyaz ul Khaliq. 20 March 2020. Available online: https://www.aa.com.tr/en/asia-pacific/china-skorea-japan-hold-video-meet-over-covid-19/1772954 (accessed on 14 May 2020).
- Ministry of Health, Labour and Welfare, Japan. Number of COVID-19 Cases with Symptoms among the Passengers on the Cruise Ship (by Close Contact Status, as of 19 February 2020). Available online: https://www.mhlw.go.jp/content/10200000/Fig2.pdf (accessed on 14 May 2020).
- Ministry of Health, Labor and Welfare, Japan, about Coronavirus Disease 2019 (COVID-19). Available online: https://www.mhlw.go.jp/stf/seisakunitsuite/bunya/newpage_00032.html#Press (accessed on 14 May 2020).
- Grant, M.C.; Geoghegan, L.; Arbyn, M.; Mohammed, Z.; McGuinness, L.; Clarke, E.L.; Wade, R. The Prevalence of Symptoms in 24,410 Adults Infected by the Novel Coronavirus (SARS-CoV-2; COVID-19): A Systematic Review and Meta-Analysis of 148 Studies from 9 Countries. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3582819 (accessed on 14 May 2020).
- U.S. Centers for Disease Control and Prevention (CDC). Symptoms of Coronavirus. 13 May 2020. Available online: https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html (accessed on 14 May 2020).
- World Health Organization. Q&A on Coronaviruses (COVID-19). 17 April 2020. Archived from the Original on 14 May 2020. Available online: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub (accessed on 14 May 2020).
- Hopkins, C. Loss of Sense of Smell as Marker of COVID-19 Infection. ENTUK. Available online: https://www.entuk.org/sites/default/files/files/Loss%20of%20sense%20of%20smell%20as%20marker%20of%20COVID.pdf (accessed on 28 March 2020).
- European Centre for Disease Prevention and Control. Q&A on COVID-19. Available online: https://www.ecdc.europa.eu/en/covid-19/questions-answers (accessed on 24 April 2020).
- U.S. Centers for Disease Control and Prevention (CDC). How COVID-19 Spreads. 2 April 2020; Archived from the Original on 3 April 2020. Available online: https://www.cdc.gov/coronavirus/2019-ncov/faq.html#Spread (accessed on 3 April 2020).
- Nussbaumer-Streit, B.; Mayr, V.; Dobrescu, A.I.; Chapman, A.; Persad, E.; Klerings, I.; Wagner, G.; Siebert, U.; Christof, C.; Zachariah, C.; et al. Quarantine alone or in combination with other public health measures to control COVID-19: A rapid review. Cochrane Database Syst. Rev. 2020, 4. [Google Scholar] [CrossRef]
- World Health Organization (WHO). Advice for Public. Archived from the Original on 26 January 2020. Available online: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public (accessed on 25 February 2020).
- GOV.UK. Guidance on Social Distancing for Everyone in the UK. Archived from the Original on 24 March 2020. Available online: https://www.unity-health.co.uk/covid-19-information-for-patients/government-guidance-on-social-distancing-for-everyone-in-the-uk-and-protecting-older-people-and-vulnerable-adults-2/ (accessed on 25 March 2020).
- Brug, J.; Aro, A.R.; Oenema, A.; de Zwart, O.; Richardus, J.H.; Bishop, G.D. SARS risk 9 perception, knowledge, precautions, and information sources, The Netherlands. Emerg. Infect. Dis. 2004, 10, 1486–1489. [Google Scholar] [CrossRef]
- Choi, J.S.; Yang, N.Y. Perceived knowledge, attitude, and compliance with preventive 12 behavior on influenza A (H1N1) by university students. J. Korean Acad. Adult Nurs. 2010, 2213, 250–259. [Google Scholar]
- Hussain, Z.A.; Hussain, S.A.; Hussain, F.A. Medical students’ knowledge, perceptions, and behavioral intentions towards the H1N1 influenza, swine flu, in Pakistan: A brief report. Am. J. Infect. Control 2012, 40, e11–e13. [Google Scholar] [CrossRef] [PubMed]
- Zhou, M.; Tang, F.; Wang, Y.; Nie, H.; Zhang, L.; You, G.; Zhang, M. Knowledge, attitude and practice regarding COVID-19 among health care workers in Henan, China. J. Hosp. Infect. 2020. [Google Scholar] [CrossRef]
- Wang, Z. Democratization in Confucian East Asia: Citizen Politics in China, Japan, Singapore, South Korea, Taiwan, and Vietnam; Cambria Press: Amherst, MA, USA, 2008. [Google Scholar]
- Leigh-Hunt, N.; Bagguley, D.; Bash, K.; Turner, V.; Turnbull, S.; Valtorta, N.; Caan, W. An overview of systematic reviews on the public health consequences of social isolation and loneliness. Public Health 2017, 152, 157–171. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Holt-Lunstad, J. The potential public health relevance of social isolation and loneliness: Prevalence, epidemiology, and risk factors. Public Policy Aging Rep. 2017, 27, 127–130. [Google Scholar] [CrossRef] [Green Version]
- Klinenberg, E. Social isolation, loneliness, and living alone: Identifying the risks for public health. Am. J. Public Health 2016, 106, 786. [Google Scholar] [CrossRef] [PubMed]
- Shankar, A.; Hamer, M.; McMunn, A.; Steptoe, A. Social isolation and loneliness: Relationships with cognitive function during 4 years of follow-up in the English Longitudinal Study of Ageing. Psychosom. Med. 2013, 75, 161–170. [Google Scholar] [CrossRef] [PubMed]
- Twenge, J.M.; Spitzberg, B.H.; Campbell, W.K. Less in-person social interaction with peers among US adolescents in the 21st century and links to loneliness. J. Soc. Pers. Relatsh. 2019, 36, 1892–1913. [Google Scholar] [CrossRef]
- Huang, Y.; Zhao, N. Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: A web-based cross-sectional survey. Psychiatry Res. 2020, 288, 112954. [Google Scholar] [CrossRef] [PubMed]
- Baidu. Real-Time Big Data Report for the Novel Coronavirus (COVID-19) Pandemic. Available online: https://voice.baidu.com/act/newpneumonia/newpneumonia (accessed on 30 August 2020). (In Chinese).
- Wang, C.; Pan, R.; Wan, X.; Tan, Y.; Xu, L.; Ho, C.S.; Ho, R.C. Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int. J. Environ. Res. Public Health 2020, 17, 1729. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ferrando, S.J.; Samton, J.; Mor, N.; Nicora, S.; Findler, M.; Apatoff, B. Patient Health Questionnaire-9 to screen for depression in outpatients with multiple sclerosis. Int. J. MS Care 2007, 9, 99–103. [Google Scholar] [CrossRef]
- Kroenke, K.; Spitzer, R.L.; Williams, J.B.W. The PHQ-9: Validity of a brief depression severity measure. J. Gen. Intern. Med. 2001, 16, 606–613. [Google Scholar] [CrossRef]
- Spitzer, R.L.; Kroenke, K.; Williams, J.B.W. 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, 1737–1744. [Google Scholar] [CrossRef] [Green Version]
- Worldometers, Coronavirus Update (Live). Available online: https://www.worldometers.info/coronavirus/ (accessed on 20 May 2020).
- Al-Hanawi, M.K.; Angawi, K.; Alshareef, N.; Qattan, A.M.; Helmy, H.Z.; Abudawood, Y.; Alqurashi, M.; Kattan, W.M.; Kadasah, N.A.; Chirwa, G.C.; et al. Knowledge, Attitude and Practice Toward COVID-19 Among the Public in the Kingdom of Saudi Arabia: A Cross-Sectional Study. Front. Public Health 2020, 8. [Google Scholar] [CrossRef]
- Olapegba, P.O.; Ayandele, O.; Kolawole, S.O.; Oguntayo, R.; Gandi, J.C.; Dangiwa, A.L.; Ottu, I.F.; Iorfa, S.K. A Preliminary Assessment of Novel Coronavirus (COVID-19) Knowledge and Perceptions in Nigeria. Soc. Sci. Humanit. Open 2020. [Google Scholar] [CrossRef]
- Lau, H.; Khosrawipour, V.; Kocbach, P.; Mikolajczyk, A.; Schubert, J.; Bania, J.; Khosrawipour, T. The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China. J. Travel Med. 2020, 27, taaa037. [Google Scholar] [CrossRef] [Green Version]
- Pan, S.L.; Cui, M.; Qian, J. Information resource orchestration during the COVID-19 pandemic: A study of community lockdowns in China. Int. J. Inf. Manag. 2020, 54, 102143. [Google Scholar] [CrossRef]
- JICA, Japan. Fighting against COVID-19. Available online: https://www.jica.go.jp/COVID-19/en/responses/research/adtkbc00000005xc-att/JICA_COVID19.pdf (accessed on 20 July 2020).
- Ahn, N.Y.; Park, J.E.; Lee, D.H.; Hong, P.C. Balancing Personal Privacy and Public Safety in COVID-19: Case of Korea and France. arXiv 2020, arXiv:2004.14495. [Google Scholar]
- Tanne, J.H.; Hayasaki, E.; Zastrow, M.; Pulla, P.; Smith, P.; Rada, A.G. Covid-19: How doctors and healthcare systems are tackling coronavirus worldwide. BMJ 2020, 368. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Khanna, R.C.; Cicinelli, M.V.; Gilbert, S.S.; Honavar, S.G.; Murthy, G.S. COVID-19 pandemic: Lessons learned and future directions. Indian J. Ophthalmol. 2020, 68, 703. [Google Scholar] [CrossRef] [PubMed]
- Kupferschmidt, K.; Cohen, J. Can China’s COVID-19 Strategy Work Elsewhere? Science 2020, 1061–1062. [Google Scholar] [CrossRef] [Green Version]
- Jacobs, A.J. Japan’s Evolving Nested Municipal Hierarchy: The Race for Local Power in the 2000s. Urban Stud. Res. 2011. [Google Scholar] [CrossRef] [Green Version]
- Takeuchi, I. COVID-19 first stage in Japan–how we treat ‘Diamond Princess Cruise Ship’with 3700 passengers? Acute Med. Surg. 2020, 7. [Google Scholar] [CrossRef]
- Yan, B.; Zhang, X.; Wu, L.; Zhu, H.; Chen, B. Why Do Countries Respond Differently to COVID-19? A Comparative Study of Sweden, China, France, and Japan. Am. Rev. Public Adm. 2020. [Google Scholar] [CrossRef]
- Osazuwa-Peters, N.; Chinedu Azodo, C.; Oluyemisi Ehizele, A.; Ndubuisi Obuekwe, O. Gender differences in characteristics, occupational exposure, and infection control practices among dental professionals in Edo State, Nigeria. S. Afr. J. Epidemiol. Infect. 2012, 27, 61–65. [Google Scholar] [CrossRef]
- Sarani, H.; Balouchi, A.; Masinaeinezhad, N.; Ebrahimitabs, E. Knowledge, attitude and practice of nurses about standard precautions for hospital-acquired infection in teaching hospitals affiliated to Zabol University of Medical Sciences (2014). Glob. J. Health Sci. 2016, 8, 193. [Google Scholar] [CrossRef]
- Fashafsheh, I.; Ayed, A.; Eqtait, F.; Harazneh, L. Knowledge and Practice of Nursing Staff towards Infection Control Measures in the Palestinian Hospitals. J. Educ. Pract. 2015, 6, 79–90. [Google Scholar]
- Liu, S.; Yang, L.; Zhang, C.; Xiang, Y.T.; Liu, Z.; Hu, S.; Zhang, B. Online mental health services in China during the COVID-19 outbreak. Lancet Psychiatry 2020, 7, e17–e18. [Google Scholar] [CrossRef]
- Ting, D.S.W.; Carin, L.; Dzau, V.; Wong, T.Y. Digital technology and COVID-19. Nat. Med. 2020, 26, 459–461. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- World Health Organization (WHO). Save Lives: Clean Your Hands in the Context of COVID-19. Available online: https://www.who.int/infection-prevention/campaigns/clean-hands/WHO_HH-Community-Campaign_finalv3.pdf?ua=1 (accessed on 20 July 2020).
- Kanamori, H.; Kunishima, H.; Tokuda, K.; Kaku, M. Infection control campaign at evacuation centers in Miyagi prefecture after the Great East Japan Earthquake. Infect. Control Hosp. Epidemiol. 2011, 32, 824–826. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Twenge, J.M.; Cooper, A.B.; Joiner, T.E.; Duffy, M.E.; Binau, S.G. Age, period, and cohort trends in mood disorder indicators and suicide-related outcomes in a nationally representative dataset, 2005–2017. J. Abnorm. Psychol. 2019, 128, 185. [Google Scholar] [CrossRef]
- Lim, G.Y.; Tam, W.W.; Lu, Y.; Ho, C.S.; Zhang, M.W.; Ho, R.C. Prevalence of depression in the community from 30 countries between 1994 and 2014. Sci. Rep. 2018, 8, 1–10. [Google Scholar] [CrossRef] [PubMed]
- Kim, E.; Park, H. Perceived gender discrimination, belief in a just world, self-esteem, and depression in Korean working women: A moderated mediation model. Women’s Stud. Int. Forum 2018, 69. [Google Scholar] [CrossRef]
- Lampard, A.M.; MacLehose, R.F.; Eisenberg, M.E.; Neumark-Sztainer, D.; Davison, K.K. Weight-related teasing in the school environment: Associations with psychosocial health and weight control practices among adolescent boys and girls. J. Youth Adolesc. 2014, 43, 1770–1780. [Google Scholar] [CrossRef]
- Kelly, A.C.; Vimalakanthan, K.; Miller, K.E. Self-compassion moderates the relationship between body mass index and both eating disorder pathology and body image flexibility. Body Image 2014, 11, 446–453. [Google Scholar] [CrossRef]
- Global Gender Gap Report 2017. Available online: http://hdl.voced.edu.au/10707/349201 (accessed on 11 May 2018).
- Patel, V. Poverty, gender and mental health promotion in a global society. Promot. Educ. 2005, 12, 26–29. [Google Scholar] [CrossRef]
- Houri, D.; Nam, E.W.; Choe, E.H.; Min, L.Z.; Matsumoto, K. The mental health of adolescent school children: A comparison among Japan, Korea, and China. Glob. Health Promot. 2012, 19, 32–41. [Google Scholar] [CrossRef]
- Tokyo Gakugei University, Eli Lilly Japan KK. Of 99%, Public Junior High Schools a Metropolitan Area Has Students Who Are Suffering from Psychological Illness. News2u.net. 12 June 2009. Available online: http://www.news2u.net/releases/50634 (accessed on 25 March 2020).
- Chang, H.-C. Language and words: Communication in the Analects of Confucius. J. Lang. Soc. Psychol. 1977, 16, 107–131. [Google Scholar] [CrossRef]
- Kim, T. Confucianism, modernities and knowledge: China, South Korea and Japan. In International Handbook of Comparative Education; Springer: Dordrecht, The Netherlands, 2009; pp. 857–872. [Google Scholar]
- Zhang, Y.B.; Lin, M.C.; Nonaka, A.; Beom, K. Harmony, hierarchy and conservatism: A cross-cultural comparison of Confucian values in China, Korea, Japan, and Taiwan. Commun. Res. Rep. 2005, 22, 107–115. [Google Scholar] [CrossRef]
- Brick, J.M. Explorations in non-probability sampling using the web. In Proceedings of the Conference on Beyond Traditional Survey Taking: Adapting to a Changing World, Canada, 29–31 October 2014; Berret Koehler Publishers: Oakland, CA, USA, 2014; pp. 1–6. [Google Scholar]
Items | Korea | China | Japan | Total (M = 305, F = 516) | χ2 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Male (N = 162) | Female (N = 228) | Total (N = 390) | Male (N = 83) | Female (N = 198) | Total (N = 281) | Male (N = 60) | Female (N = 90) | Total (N = 150) | |||
Age | 24.05 ± 0.25 | 22.50 ± 0.16 | 23.14 ± 0.15 | 23.57 ± 0.41 | 23.66 ± 0.19 | 23.63 ± 0.18 | 24.49 ± 0.59 | 23.86 ± 0.60 | 24.13 ± 0.53 | 23.08 ± 4.78 | F = 3.248 * |
Educational level | |||||||||||
Undergraduate | 145 (89.51) | 215 (94.30) | 360 (92.31) | 66 (77.11) | 127 (64.14) | 191 (97.97) | 45 (75.00) | 76 (84.44) | 121 (80.67) | 672 (81.85) | 65.289 *** |
Graduate | 17 (10.49) | 13 (5.70) | 30 (7.69) | 19 (22.89) | 71 (35.86) | 90 (32.03) | 15 (25.00) | 14 (15.56) | 29 (19.33) | 149 (19.15) | |
Marital status | |||||||||||
Single | 160 (98.77) | 225 (98.68) | 385 (98.72) | 75 (90.36) | 191 (96.46) | 266 (94.66) | 58 (96.67) | 86 (95.56) | 144 (96.00) | 795 (96.83) | 9.177 * |
Married | 2 (1.23) | 3 (1.32) | 5 (1.28) | 8 (9.64) | 7 (3.54) | 15 (5.34) | 2 (3.33) | 4 (4.44) | 6 (4.00) | 26 (3.17) | |
Job Status | |||||||||||
Students | 155 (95.68) | 215 (94.30) | 370 (94.87) | 76 (91.57) | 173 (87.37) | 249 (88.61) | 53 (88.53) | 70 (77.78) | 123 (82.00) | 742 (90.38) | 36.212 *** |
Working | 4 (2.47) | 11 (4.82) | 15 (3.85) | 6 (7.23) | 20 (10.10) | 26 (9.25) | 5 (8.33) | 16 (17.78) | 21 (14.00) | 62 (7.55) | |
Other | 3 (1.85) | 2 (0.88) | 5 (1.28) | 1 (1.20) | 5 (2.53) | 6 (2.14) | 2 (3.33) | 4 (4.44) | 6 (4.00) | 17 (2.07) | |
Traveled abroad | |||||||||||
No | 159 (98.15) | 228 (100) | 387 (99.23) | 80 (96.39) | 195 (98.48) | 285 (97.86) | 57 (95.00) | 86 (95.56) | 143 (95.33) | 805 (98.05) | 8.689 * |
Yes | 3 (1.85) | 0 (0) | 3 (0.77) | 3 (3.61) | 3 (1.52) | 6 (2.14) | 3 (5.00) | 4 (4.44) | 7 (4.67) | 16 (1.95) | |
Self-quarantine | |||||||||||
No | 149 (91.98) | 204 (89.47) | 353 (90.51) | 34 (40.96) | 94 (47.47) | 128 (45.55) | 44 (73.33) | 70 (77.78) | 114 (76.00) | 595 (72.47) | 166.640 *** |
Yes | 13 (8.02) | 24 (10.53) | 37 (9.49) | 49 (59.04) | 104 (52.53) | 153 (54.45) | 16 (16.67) | 20 (22.22) | 36 (24.00) | 226 (17.53) | |
Several symptoms | |||||||||||
No | 118 (72.84) | 149 (65.35) | 267 (68.46) | 73 (87.95) | 181 (91.41) | 254 (90.39) | 39 (65) | 56 (62.22) | 95 (63.33) | 616 (75.03) | 55.329 *** |
Yes | 44 (27.16) | 79 (34.65) | 123 (32.54) | 10 (12.05) | 17 (8.59) | 27 (9.61) | 21 (35) | 34 (37.78) | 55 (36.67) | 205 (24.97) | |
Self-assessed physical condition | |||||||||||
Above good | 117 (72.22) | 166 (72.81) | 283 (72.56) | 73 (87.95) | 184 92.93) | 257 (91.46) | 44 (73.33) | 64 (71.11) | 108 (72.00) | 648 (78.93) | 40.356 *** |
Below fair | 45 (27.78) | 62 (27.19) | 107 (27.44) | 10 (12.05) | 14 (7.07) | 24 8.54) | 16 (26.67) | 16 (18.89) | 42 (28.00) | 173 31.07) | |
Chronic diseases | |||||||||||
No | 145 (89.51) | 210 (92.11) | 355 (91.03) | 74 (89.16) | 188 (94.95) | 262 (93.24) | 57 (95.00) | 91 (90.00) | 138 (92.00) | 755 (91.96) | 1.082 |
Yes | 17 (10.49) | 18 (7.89) | 35 (8.97) | 9 (10.84) | 10 (5.05) | 19 (6.76) | 3 (5.00) | 9 (10.00) | 12 (8.00) | 66 (8.04) |
Items | Korea | China | Japan | Total (N = 821) | χ2 (by) | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Male (N = 162) | Female (N = 228) | Total (N = 390) | Male (N = 83) | Female (N = 198) | Total (N = 281) | Male (N = 60) | Female (N = 90) | Total (N = 150) | Nationality | Gender | ||
Transmission routes | ||||||||||||
Droplets (agree) | 153 (94.44) | 224 (98.25) | 377 (96.67) | 83 (100) | 197 (99.49) | 280 (99.64) | 59 (98.33) | 88 (97.78) | 147 (98.00) | 804 (97.93) | 7.145 * | 3.493 |
Objects (agree) | 121 (74.69) | 178 (78.07) | 299 (76.67) | 76 (91.57) | 184 (92.93) | 260 (92.53) | 52 (86.67) | 76 (84.44) | 128 (85.33) | 687 (83.68) | 30.448 *** | 1.477 |
Air (agree) | 71 (43.83) | 93 (40.79) | 164 (42.05) | 59 (71.08) | 128 (64.65) | 187 (66.55) | 17 (29.33) | 35 (38.89) | 52 (34.67) | 403 (49.09) | 54.487 *** | 0.514 |
Updated information | ||||||||||||
Infected case (yes) | 157 (96.91) | 222 (97.37) | 379 (97.18) | 83 (100) | 198 (100) | 271 (100) | 58 (96.67) | 89 (98.89) | 147 (98.00) | 807 (98.29) | 12.161 ** | 1.007 |
Death case (yes) | 153 (94.44) | 219 (96.05) | 372 (95.38) | 81 (97.59) | 198 (100) | 279 (99.29) | 58 (96.67) | 87 (96.67) | 145 (96.67) | 796 (96.96) | 8.482 * | 2.425 |
Recovered case (yes) | 135 (83.33) | 210 (92.11) | 345 (88.46) | 81 (97.59) | 196 (98.99) | 277 (98.58) | 40 (66.67) | 62 (68.89) | 102 (68.00) | 724 (88.19) | 87.810 *** | 8.416 ** |
Number of information sources | ||||||||||||
1~3 | 161 (99.38) | 223 (97.81) | 384 (98.46) | 73 (87.95) | 193 (92.42) | 256 (91.10) | 57 (95.00) | 70 (77.78) | 127 (84.67) | 767 (93.42) | 37.291 *** | 3.119 |
4~6 | 1 (0.62) | 5 (2.19) | 6 (1.54) | 10 (12.05) | 15 (7.58) | 25 (8.90) | 3 (5.00) | 20 (22.22) | 23 (15.33) | 54 (6.58) | ||
Contact history | 40.132 *** | 1.198 * | ||||||||||
No | 135 (83.33) | 185 (81.14) | 320 (82.05) | 81 (97.59) | 192 (96.57) | 273 (97.15) | 54 (90.00) | 66 (73.33) | 120 (80) | 713 (86.84) | ||
Yes/Suspected | 17 (16.66) | 43 (18.86) | 70 (17.95) | 2 (2.41) | 3 (2.92) | 8 (2.85) | 6 (10.00) | 14 (26.67) | 30 (20.00) | 108 (13.16) | ||
Information satisfaction | 150.837 *** | 0.032 | ||||||||||
Above satisfied | 115 (70.99) | 151 (66.23) | 266 (68.21) | 79 (95.18) | 191 (96.46) | 270 (96.09) | 30 (50.00) | 34 (37.78) | 64 (42.67) | 600 (73.08) | ||
Below satisfied | 47 (29.01) | 77 (33.77) | 124 (31.79) | 4 (4.82) | 7 (3.54) | 11 (3.91) | 30 (50.00) | 56 (62.22) | 86 (57.33) | 221 (16.92) | ||
Confidence in diagnosis | 31.733 *** | 0.059 | ||||||||||
Highly confident | 138 (85.19) | 195 (85.53) | 333 (85.38) | 66 (79.52) | 151 (76.26) | 217 (77.22) | 37 (61.67) | 58 (64.44) | 95 (63.33) | 645 (78.56) | ||
Lowly confident | 24 (14.81) | 33 (14.47) | 57 (14.62) | 17 (20.48) | 47 (23.74) | 64 (22.78) | 23 (38.33) | 32 (35.56) | 55 (36.67) | 176 (21.44) | ||
Perceived probability | ||||||||||||
Getting infected (high) | 48 (29.63) | 81 (35.53) | 129 (33.08) | 25 (30.12) | 31 (15.66) | 56 (19.93) | 43 (71.67) | 73 (81.11) | 116 (77.33) | 301 (36.66) | 142.894 *** | 0.392 |
Surviving after infection (high) | 130 (80.25) | 190 (83.33) | 320 (82.05) | 72 (86.75) | 173 (87.37) | 245 (87.19) | 55 (91.67) | 74 (82.22) | 129 (86.00) | 694 (84.53) | 3.599 | 0.027 |
Concerns about family members | 18.261 *** | 11.213 ** | ||||||||||
High | 29 (17.90) | 26 (11.40) | 335 (85.90) | 62 (74.70) | 156 (78.79) | 218 (77.58) | 58 (96.67) | 81 (90.00) | 139 (92.67) | 692 (84.29) | ||
Low | 133 (82.10) | 202 (88.60) | 55 (14.10) | 21 (25.30) | 42 (21.21) | 63 (22.42) | 2 (3.33) | 9 (10.00) | 11 (7.33) | 129 (15.71) | ||
Concerns about the disease | 6.404 * | 10.630 * | ||||||||||
High | 128 (79.01) | 206 (90.35) | 334 (85.64) | 70 (84.37) | 180 (90.91) | 250 (88.97) | 56 (93.33) | 84 (93.33) | 140 (93.33) | 724 (88.19) | ||
Low | 34 (20.99) | 22 (9.65) | 56 (14.36) | 13 (15.66) | 18 (9.09) | 31 (11.03) | 4 (6.67) | 6 (6.67) | 10 (6.67) | 97 (11.81) |
Items | Korea (N = 390) | China (N = 281) | Japan (N = 150) | Main Effect (by) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nation | Gender | |||||||||||||
Mean ± S.D. | 95% Conf. Interval | Mean ± S.D. | 95% Conf. Interval | Mean ± S.D. | 95% Conf. Interval | F a | Korea × China b | Korea × Japan b | China × Japan b | t(M) c | ||||
1: Covering mouth when coughing and sneezing | 4.47 ± 0.91 | 4.38 | 4.56 | 4.38 ± 1.02 | 4.26 | 4.50 | 4.21 ± 1.18 | 4.02 | 4.40 | 3.031 * | 0.088 ± 0.076 | 0.256 ± 0.107 * | 0.167 ± 0.114 | −1.286 |
2: Wearing a mask regardless of the presence or absence of symptoms | 3.18 ± 1.48 | 3.04 | 3.33 | 4.25 ± 0.91 | 4.15 | 4.36 | 3.57 ± 1.50 | 3.33 | 3.82 | 69.781 *** | −1.071 ± 0.092 *** | −0.391 ± 0.144 * | 0.679 ± 0.134 *** | −2.125 * |
3: Washing hands with soap and water | 4.76 ± 0.59 | 4.70 | 4.82 | 4.60 ± 0.68 | 4.52 | 4.69 | 4.81 ± 0.63 | 4.71 | 4.91 | 6.203 ** | 0.151 ± 0.051 ** | −0.050 ± 0.058 | −0.202 ± 0.064 ** | −4.710 *** |
4: Washing hands immediately after coughing, rubbing nose or sneezing | 3.65 ± 1.20 | 3.53 | 3.77 | 3.99 ± 1.14 | 3.85 | 4.12 | 3.61 ± 1.375 | 3.38 | 3.83 | 8.099 *** | −0.337 ± 0.091 *** | 0.042 ± 0.128 | 0.379 ± 0.131 * | −1.342 |
5: Washing hands after touching contaminated objects | 4.71 ± 0.71 | 4.64 | 4.78 | 4.47 ± 0.80 | 4.38 | 4.56 | 4.27 ± 1.20 | 4.08 | 4.47 | 13.933 *** | 0.241 ± 0.060 *** | 0.437 ± 0.105 *** | 0.196 ± 0.109 | −2.315 * |
6: Avoiding public transportation | 4.43 ± 0.95 | 4.33 | 4.52 | 4.57 ± 0.74 | 4.49 | 4.66 | 4.43 ± 0.97 | 4.28 | 4.59 | 2.474 | −0.147 ± 0.065 | −0.008 ± 0.092 | 0.140 ± 0.090 | −3.167 ** |
7: Avoiding using elevators | 2.34 ± 1.51 | 2.19 | 2.49 | 4.12 ± 1.24 | 3.97 | 4.26 | 2.64 ± 1.66 | 2.37 | 2.91 | 149.119 *** | −1.779 ± 0.106 *** | −0.302 ± 0.156 | 1.477 ± 0.155 *** | −2.912 ** |
8: Sitting in one row while having a meal | 2.14 ± 1.43 | 1.99 | 2.28 | 4.19 ± 1.19 | 4.05 | 4.32 | 2.47 ± 1.63 | 2.21 | 2.74 | 216.586 *** | −2.049 ± 0.101 *** | −0.337 ± 0.151 | 1.712 ± 0.150 *** | −0.524 |
9: Avoiding meeting with more than 10 people | 4.23 ± 1.23 | 4.11 | 4.35 | 4.73 ± 0.68 | 4.65 | 4.81 | 4.37 ± 1.21 | 4.17 | 4.56 | 24.864 *** | −0.502 ± 0.074 *** | −0.136 ± 0.117 | 0.366 ± 0.107 ** | −1.98 * |
Questions Sum Scores | 33.90 ± 5.28 | 33.37 | 34.42 | 39.30 ± 5.46 | 38.66 | 39.94 | 34.39 ± 5.53 | 33.49 | 35.28 | 88.850 *** | −5.405 ± 0.421 *** | −0.489 ± 0.525 | 4.916 ± 0.557 *** | −3.793 *** |
Items | Korea (N = 390) | China (N = 281) | Japan (N = 150) | Total | Main Effect (by) | ||||
---|---|---|---|---|---|---|---|---|---|
Nationality | Gender (M) | ||||||||
Sum scores | 5.94 ± 5.44 (CI: 5.39–6.48) | 6.40 ± 5.12 (CI: 5.79–7.00) | 7.33 ± 6.20 (CI: 6.33–8.33) | 6.35 ± 5.50 | F a = 2.970 * | T b = −2.091 * | |||
0–4 (Non-depressed) | M: 96 (59.26) F:102 (44.74) | 198 (50.77) | M: 23 (27.71) F: 88 (44.44) | 111 (39.50) | M: 24 (40.00) F: 36 (40.00) | 60 (40.00) | 369 (44.95) | χ2 = 25.849 *** | χ2 = 10.630 * |
5–9 (Mild) | M: 41 (25.31) F: 64 (28.07) | 105 (26.92) | M: 39 (46.99) F: 73 (36.87) | 112 (39.86) | M: 18 (30.00) F: 23 (25.56) | 41 (27.33) | 258 (31.43) | ||
10–14 (Moderate) | M: 19 (11.73) F: 34 (14.91) | 53 (13.59) | M: 16 (19.28) F: 23 (11.62) | 39 (13.88) | M: 13 (21.67) F: 12 (13.33) | 25 (16.67) | 117 (14.25) | ||
15–19 (Moderately severe) | M: 3 (1.85) F: 22 (9.65) | 25 (6.41) | M: 4 (4.82) F: 10 (5.05) | 14 (4.98) | M: 3 (5.00) F: 13 (14.44) | 16 (10.67) | 55 6.69) | ||
20–27 (Severe) | M: 3 (1.85) F: 6 (2.63) | 9 (2.31) | M: 1 (1.20) F: 4 (2.02) | 5 (1.78) | M: 3 (3.33) F: 6 (6.67) | 8 (5.33) | 22 2.68) |
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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. https://doi.org/10.3390/ijerph17186671
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. https://doi.org/10.3390/ijerph17186671
Chicago/Turabian StyleZhao, Bo, Fanlei Kong, Myo Nyein Aung, Motoyuki Yuasa, and Eun Woo Nam. 2020. "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 17, no. 18: 6671. https://doi.org/10.3390/ijerph17186671
APA StyleZhao, B., Kong, F., Aung, M. N., Yuasa, M., & Nam, E. W. (2020). 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, 17(18), 6671. https://doi.org/10.3390/ijerph17186671