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BMC Public Health
Published in: BMC Public Health 1/2021

Open Access 01-12-2021 | Public Health | Research article

Knowledge, attitudes, and practices (KAP) toward COVID-19: a cross-sectional study in South Korea

Authors: Minjung Lee, Bee-Ah Kang, Myoungsoon You

Published in: BMC Public Health | Issue 1/2021

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Abstract

Background

The public must routinely practice precautionary behaviors to control the spread of COVID-19, as no vaccines and antiviral treatments are currently available. This paper examines the public’s knowledge, attitudes, and practices (KAP) related to COVID-19 and their relationships and identified the pandemic’s vulnerable populations to provide recommendations for behavioral interventions and policies.

Methods

Data collection took place over 3 days (June 26–29) via an online survey 5 months after the Korea Centers for Disease Control and Prevention (KCDC) confirmed the first COVID case in South Korea; 970 subjects were included in the statistical data analysis.

Results

Knowledge directly affected both attitudes (e.g., perceived risk and efficacy belief) and practices (e.g., personal hygiene practices and social distancing). Among the influencing factors of COVID-19 preventive behaviors, efficacy belief was the most influential and significant practice factor. It mediated the relationship between knowledge and all three preventive behaviors (wearing facial masks, practicing hand hygiene, and avoiding crowded places). The level of knowledge varied by sociodemographic characteristics. Females (β = 0.06, p <  0.05) and individuals with higher levels of education (β = 0.06, p <  0.05) demonstrated higher levels of knowledge.

Conclusion

To increase precautionary behaviors among the public, health officials and policymakers must promote knowledge and efficacy belief. Future interventions and policies should also be developed in a ‘person-centered’ approach, targeting vulnerable subgroups, embracing them, and closing the gap of KAP toward COVID-19.
Appendix
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Literature
1.
Li Q, Guan X, Wu P, Wang X, Zhou L, Tong Y, Ren R, Leung KS, Lau EH, Wong JY. Early transmission dynamics in Wuhan, China, of novel coronavirus–infected pneumonia. N Engl J Med. 2020;382(13):1199–207.PubMedPubMedCentralCrossRef
2.
Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B, Shi W, Lu R. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382(8):727–33.PubMedPubMedCentralCrossRef
3.
WHO: Statement on the second meeting of the International Health Regulations Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV), Geneva, Switzerland, 30 January 2020. 2005. In.; 2020.
4.
5.
6.
Lee M, You M. Psychological and behavioral responses in South Korea during the early stages of coronavirus disease 2019 (COVID-19). Int J Environ Res Public Health. 2020;17(9):2977.PubMedCentralCrossRef
7.
Anderson RM, Heesterbeek H, Klinkenberg D, Hollingsworth TD. How will country-based mitigation measures influence the course of the COVID-19 epidemic? Lancet. 2020;395(10228):931–4.PubMedPubMedCentralCrossRef
8.
Ferguson N, Laydon D, Nedjati Gilani G, Imai N, Ainslie K, Baguelin M, Bhatia S, Boonyasiri A, Cucunuba Perez Z, Cuomo-Dannenburg G. Report 9: impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand; 2020.
9.
Lin L, Jung M, McCloud RF, Viswanath K. Media use and communication inequalities in a public health emergency: a case study of 2009–2010 pandemic influenza A virus subtype H1N1. Public Health Rep. 2014;129(6_suppl4):49–60.PubMedPubMedCentralCrossRef
10.
Aburto NJ, Pevzner E, Lopez-Ridaura R, Rojas R, Lopez-Gatell H, Lazcano E, Hernandez-Avila M, Harrington TA. Knowledge and adoption of community mitigation efforts in Mexico during the 2009 H1N1 pandemic. Am J Prev Med. 2010;39(5):395–402.PubMedCrossRef
11.
Brug J, Aro AR, Oenema A, De Zwart O, Richardus JH, Bishop GD. SARS risk perception, knowledge, precautions, and information sources, the Netherlands. Emerg Infect Dis. 2004;10(8):1486.PubMedPubMedCentralCrossRef
12.
de Zwart O, Veldhuijzen IK, Richardus JH, Brug J. Monitoring of risk perceptions and correlates of precautionary behaviour related to human avian influenza during 2006-2007 in the Netherlands: results of seven consecutive surveys. BMC Infect Dis. 2010;10(1):114.PubMedPubMedCentralCrossRef
13.
Rahman A, Sathi NJ. Knowledge, Attitude, and Preventive Practices toward COVID-19 among Bangladeshi Internet Users. Elect J Gen Med. 2020;17(5):em245.
14.
Azlan AA, Hamzah MR, Sern TJ, Ayub SH, Mohamad E. Public knowledge, attitudes and practices towards COVID-19: a cross-sectional study in Malaysia. PLoS One. 2020;15(5):e0233668.PubMedPubMedCentralCrossRef
15.
Saefi M, Fauzi A, Kristiana E, Adi WC, Muchson M, Setiawan ME, Islami NN, Ningrum DEAF, Ikhsan MA, Ramadhani M. Survey data of COVID-19-related knowledge, attitude, and practices among Indonesian undergraduate students. Data Brief. 2020;31:105855.PubMedPubMedCentralCrossRef
16.
Honarvar B, Lankarani KB, Kharmandar A, Shaygani F, Zahedroozgar M, Haghighi MRR, Ghahramani S, Honarvar H, Daryabadi MM, Salavati Z. Knowledge, attitudes, risk perceptions, and practices of adults toward COVID-19: a population and field-based study from Iran. Int J Public Health. 2020;65(6):731–9.PubMedCrossRef
17.
Zhong B-L, Luo W, Li H-M, Zhang Q-Q, Liu X-G, Li W-T, 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. Int J Biol Sci. 2020;16(10):1745.PubMedPubMedCentralCrossRef
18.
Papagiannis D, Malli F, Raptis DG, Papathanasiou IV, Fradelos EC, Daniil Z, Rachiotis G, Gourgoulianis KI. Assessment of knowledge, attitudes, and practices towards new coronavirus (SARS-CoV-2) of health care professionals in Greece before the outbreak period. Int J Environ Res Public Health. 2020;17(14):4925.PubMedCentralCrossRef
19.
Lau LL, Hung N, Go DJ, Ferma J, Choi M, Dodd W, Wei X. Knowledge, attitudes and practices of COVID-19 among income-poor households in the Philippines: A cross-sectional study. J Global Health. 2020;10(1):011007.CrossRef
20.
Afzal MS, Khan A, Qureshi UUR, Saleem S, Saqib MAN, Shabbir RMK, Naveed M, Jabbar M, Zahoor S, Ahmed H. Community-based assessment of knowledge, attitude, practices and risk factors regarding COVID-19 among Pakistanis residents during a recent outbreak: a cross-sectional survey. J Community Health. 2020:1–11.
21.
Alrubaiee GG, Al-Qalah TAH, Al-Aawar MSA. Knowledge, attitudes, anxiety, and preventive behaviours towards COVID-19 among health care providers in Yemen: an online cross-sectional survey. BMC Public Health. 2020;20(1):1541.PubMedPubMedCentralCrossRef
22.
Tamang N, Rai P, Dhungana S, Sherchan B, Shah B, Pyakurel P, Rai S. COVID-19: a National Survey on perceived level of knowledge, attitude and practice among frontline healthcare Workers in Nepal. BMC Public Health. 2020;20(1):1905.PubMedPubMedCentralCrossRef
23.
Bambra C, Riordan R, Ford J, Matthews F. The COVID-19 pandemic and health inequalities. J Epidemiol Community Health. 2020.
24.
Marmot M, Allen J. COVID-19: exposing and amplifying inequalities. J Epidemiol Community Health. 2020;74(9):681–2.PubMed
25.
Lowcock EC, Rosella LC, Foisy J, McGeer A, Crowcroft N. The social determinants of health and pandemic H1N1 2009 influenza severity. Am J Public Health. 2012;102(8):e51–8.PubMedPubMedCentralCrossRef
26.
Rutter PD, Mytton OT, Mak M, Donaldson LJ. Socio-economic disparities in mortality due to pandemic influenza in England. Int J Public Health. 2012;57(4):745–50.PubMedCrossRef
27.
Biggerstaff M, Jhung M, Reed C, Garg S, Balluz L, Fry A, Finelli L. Impact of medical and behavioural factors on influenza-like illness, healthcare-seeking, and antiviral treatment during the 2009 H1N1 pandemic: USA, 2009–2010. Epidemiol Infect. 2014;142(1):114–25.PubMedCrossRef
28.
Lee M, Ju Y, You M. The effects of social determinants on public health emergency preparedness mediated by health communication: The 2015 MERS outbreak in South Korea. Health Commun. 2019:1–11.
29.
Chen J, Krieger N. Revealing the unequal burden of COVID-19 by income, race/ethnicity, and household crowding: US county vs ZIP code analyses. Journal of Public Health Management and Practice. 2020;19(1):S43-56.
30.
Singer M. Introduction to Syndemics: A Critical Systems Approach to Public and Community Health. San Francisco: Jossey-Bass; 2009.
31.
Lee LY, Lam EP, Chan CK, Chan SY, Chiu MK, Chong WH, Chu KW, Hon MS, Kwan LK, Tsang KL. Practice and technique of using face mask amongst adults in the community: a cross-sectional descriptive study. BMC Public Health. 2020;20(1):1–11.CrossRef
32.
Peng Y, Pei C, Zheng Y, Wang J, Zhang K, Zheng Z, Zhu P. A cross-sectional survey of knowledge, attitude and practice associated with COVID-19 among undergraduate students in China. BMC Public Health. 2020;20(1):1–8.CrossRef
33.
Clements JM. Knowledge and behaviors toward COVID-19 among US residents during the early days of the pandemic: cross-sectional online questionnaire. JMIR Public Health Surveill. 2020;6(2):e19161.PubMedPubMedCentralCrossRef
34.
Li Z-H, Zhang X-R, Zhong W-F, Song W-Q, Wang Z-H, Chen Q, Liu D, Huang Q-M, Shen D, Chen P-L. Knowledge, attitudes, and practices related to coronavirus disease 2019 during the outbreak among workers in China: a large cross-sectional study. PLoS Negl Trop Dis. 2020;14(9):e0008584.PubMedPubMedCentralCrossRef
35.
Rimal RN, Juon HS. Use of the risk perception attitude framework for promoting breast cancer prevention. J Appl Soc Psychol. 2010;40(2):287–310.CrossRef
36.
Hayes AF. Introduction to mediation, moderation, and conditional process analysis: a regression-based approach. New York, EE. UU: The Guilford Press; 2013.
37.
Tangcharoensathien V, Calleja N, Nguyen T, Purnat T, D’Agostino M, Garcia-Saiso S, Landry M, Rashidian A, Hamilton C, AbdAllah A, et al. Framework for managing the COVID-19 Infodemic: methods and results of an online, Crowdsourced WHO technical consultation. J Med Internet Res. 2020;22(6):e19659.PubMedPubMedCentralCrossRef
38.
Jung M, Lin L, Viswanath K. Associations between health communication behaviors, neighborhood social capital, vaccine knowledge, and parents’ H1N1 vaccination of their children. Vaccine. 2013;31(42):4860–6.PubMedCrossRef
39.
O'Connor AM. Validation of a decisional conflict scale. Med Decis Mak. 1995;15(1):25–30.CrossRef
40.
Briss P, Rimer B, Reilley B, Coates RC, Lee NC, Mullen P, Corso P, Hutchinson AB, Hiatt R, Kerner J. Promoting informed decisions about cancer screening in communities and healthcare systems. Am J Prev Med. 2004;26(1):67–80.PubMedCrossRef
41.
Rimer BK, Briss PA, Zeller PK, Chan EC, Woolf SH. Informed decision making: what is its role in cancer screening? Cancer. 2004;101(S5):1214–28.PubMedCrossRef
42.
van den Berg M, Timmermans DRM, ten Kate LP, van Vugt JMG, van der Wal G. Informed decision making in the context of prenatal screening. Patient Educ Couns. 2006;63(1):110–7.PubMedCrossRef
43.
Ashrafi-rizi H, Kazempour Z. Information typology in coronavirus (COVID-19) crisis; a commentary. Arch Acad Emerg Med. 2020;8(1):e19.PubMedPubMedCentral
44.
45.
WHO: Coronavirus disease (COVID-19): situation report, 163. 2020.
46.
Lee JJ, Kang K-A, Wang MP, Zhao SZ, Wong JYH, O'Connor S, Yang SC, Shin S. Associations between COVID-19 misinformation exposure and belief with COVID-19 knowledge and preventive behaviors: cross-sectional online study. J Med Internet Res. 2020;22(11):e22205.PubMedPubMedCentralCrossRef
47.
Brennen JS, Simon F, Howard PN, Nielsen RK. Types, sources, and claims of COVID-19 misinformation. Reuters Inst. 2020;7:3–1.
48.
Gao H, Hu R, Yin L, Yuan X, Tang H, Luo L, Chen M, Huang D, Wang Y, Yu A. Knowledge, attitudes and practices of the Chinese public with respect to coronavirus disease (COVID-19): an online cross-sectional survey. BMC Public Health. 2020;20(1):1–8.CrossRef
49.
Al-Naggar RA, Osman MT. Knowledge of breast Cancer and its association with preventive practice among Malaysian school teachers. Int Arch Med. 2015;8:1–11.
50.
Chandler C, Fairhead J, Kelly A, Leach M, Martineau F, Mokuwa E, Parker M, Richards P, Wilkinson A. Ebola: limitations of correcting misinformation. Lancet. 2015;385(9975):1275–7.PubMedCrossRef
51.
Vinck P, Pham PN, Bindu KK, Bedford J, Nilles EJ. Institutional trust and misinformation in the response to the 2018–19 Ebola outbreak in north Kivu, DR Congo: a population-based survey. Lancet Infect Dis. 2019;19(5):529–36.PubMedCrossRef
52.
Rimal RN. Closing the knowledge-behavior gap in health promotion: the mediating role of self-efficacy. Health Commun. 2000;12(3):219–37.PubMedCrossRef
53.
Wong CL, Chen J, Chow KM, Law BM, Chan DN, So WK, Leung AW, Chan CW. Knowledge, attitudes and practices towards COVID-19 amongst ethnic minorities in Hong Kong. Int J Environ Res Public Health. 2020;17(21):7878.PubMedCentralCrossRef
54.
55.
Tichenor PJ, Donohue GA, Olien CN. Mass media flow and differential growth in knowledge. Public Opin Q. 1970;34(2):159–70.CrossRef
56.
Bekalu MA, Eggermont S. Media use and HIV/AIDS knowledge: a knowledge gap perspective. Health Promot Int. 2014;29(4):739–50.PubMedCrossRef
57.
Viswanath K, Kahn E, Finnegan JR Jr, Hertog J, Potter JD. Motivation and the knowledge gap: effects of a campaign to reduce diet-related cancer risk. Commun Res. 1993;20(4):546–63.CrossRef
58.
Metadata
Title
Knowledge, attitudes, and practices (KAP) toward COVID-19: a cross-sectional study in South Korea
Authors
Minjung Lee
Bee-Ah Kang
Myoungsoon You
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2021
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-021-10285-y

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