Volume 8, Issue 3 (September 2021)                   J Educ Community Health 2021, 8(3): 223-228 | Back to browse issues page

Ethics code: IR.RUMS.REC.1399.003

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Aligol M, Nasirzadeh M, Akhondi M, Mazar L, Mosavifard S M. Attitude and Related Factors towards COVID-19 Prevention based on the Health Belief Model among the Rafsanjan Citizens. J Educ Community Health. 2021; 8 (3) :223-228
URL: http://jech.umsha.ac.ir/article-1-1207-en.html
1- Department of Health Education and Health Promotion, School of Health, Qom University of Medical Sciences and Health Services, Qom, Iran
2- "Occupational Environment Research Centre" and "Department of Health Education and Health Promotion, School of Health", Rafsanjan University of Medical Sciences, Rafsanjan, Iran , mnasirzadeh13@rums.ac.ir
3- Department of Health, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
4- "Student Research Committee" and "Department of Health Education and Health Promotion, School of Health", Rafsanjan University of Medical Sciences, Rafsanjan, Iran
5- Department of Internal Medicine, School of Medicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
Abstract:   (695 Views)
Aims: COVID-19 is rapidly expanding around the world and is one of the most important health problems. The purpose of the study was to determine preventive behaviors from COVID-19 and its determinants based on some constructs of the Health Belief Model.
Instrument & Methods: This cross-sectional study was conducted on 2504 citizens of Rafsanjan in 2020 that were randomly selected by cluster sampling method. Data were collected using a behavior and Health Belief Model constructs (HBMs) researcher-made questionnaire based on the Internet. The validity of the questionnaire was evaluated by ten specialists, and its reliability was assessed by Cronbach's alpha coefficient. Data analysis was conducted in SPSS 18 by applying statistical tests such as Pearson's correlation coefficient, independent t-test, One-Way ANOVA, and linear regression.
Findings: The means score of knowledge, attitude, perceived susceptibility, severity, benefits, barriers, and preventive behavior were 83.13±10.72, 81.17±8.55, 79.28±17.19, 74.47±14.65, 84.32±16.11, 69.27±14.31, and 87.35±11.16, respectively. There was a significant correlation between preventive behaviors with knowledge, attitude, and HBMs (p<0.001). The attitude was the strongest predictor for adopting preventive behaviors (B=0.446, p<0.001). In total, knowledge, attitude, and HBM constructs predicted 36.8% of the preventive behaviors for COVID-19.
Conclusions: There is a significant correlation between adopting preventive behaviors for COVID-19 with knowledge, attitude, and HBM constructs.
Full-Text [PDF 506 kb]   (301 Downloads)    
Type of Study: Research Article | Subject: Special
Received: 2020/08/4 | Accepted: 2021/04/22

1. Malik YS, Sircar S, Bhat S, Sharun K, Dhama K, Dadar M, et al. Emerging novel coronavirus (2019-nCoV)-current scenario, evolutionary perspective based on genome analysis and recent developments. Vet Q. 2020;40(1):68-76. [PubMed]
2. Steenblock C, Todorov V, Kanczkowski W, Eisenhofer G, Schedl A, Wong ML, et al. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the neuroendocrine stress axis. Mol Psychiatry. 2020;25(8): 1611-7. [PubMed]
3. Mattiuzzi C, Lippi G. Which lessons shall we learn from the 2019 novel coronavirus outbreak. Ann Transl Med. 2020;8(3):48. [PubMed]
4. Whitworth J. COVID-19: a fast evolving pandemic. Trans R Soc Trop Med Hyg. 2020;114(4):241. [PubMed]
5. Dhand R, Li J. Coughs and sneezes: their role in transmission of respiratory viral infections, including SARS-CoV-2. Am J Respir Crit Care Med. 2020;202(5):651-9. [PubMed]
6. Parvin F, Islam S, Urmy Z, Ahmed S. The symptoms, contagious process, prevention and post treatment of COVID-19. Eur J Physiother. 2020;1(1). [Full text]
7. Khazaei S, Bashirian S, Jenabi E, Barati M, Karimi-Shahanjarini A, Moeini B, et al. COVID-19 preventive behaviors and its related beliefs among health workers: The role of threat and coping appraisals. J Educ Community Health. 2020;7(3):221-7. [Persian] [Full text]
8. Qureshi WA, Saud M, Mahmood QK. Dataset on the fear, preventive behaviour and anxiety disorder during the COVID-19 pandemic in Khyber Pakhtunkhwa, Pakistan. Data Brief. 2020;33:106579. [PubMed]
9. Glanze K, Rimer BK, Viswanath K. Health behavior and health education: Theory, research, and practice. San Francisco: Jossey-Bass; 2008. [Full text]
10. Costa MF. Health belief model for coronavirus infection risk determinants. Revista de Saúde Pública. 2020;54:47. [Portuguese] [PubMed]
11. Daniali SS, Hafezi-Bakhtiari M, Nasirzadeh M, Aligol M, Doaei S. Knowledge, risk perception, and behavioral intention about hepatitis C, among university students. J Educ Health Promot. 2015;4:93. [PubMed]
12. Nasirzadeh M, Hafezi-Bakhtiari M, Mirzaie Alavijeh M, Mostafavidarani F, Dostmohammadi P. A survey of knowledge, risk perceptions and behavioral intentions in the students of Isfahan university of medical sciences regarding hepatitis B, 2012. Health Syst Res. 2014;9(11):1178-85. [Persian] [Full text]
13. Zeng Y, Yuan Z, Yin J, Han Y, Chu CI, Fang Y. Factors affecting parental intention to vaccinate kindergarten children against influenza: A cross-sectional survey in China. Vaccine. 2019;37(11):1449-56. [PubMed]
14. Khani-Jeihooni A, Manouchehri M, Bahmandoost M, Khiyali Z. Effect of educational intervention based on the health belief model on preventive behaviors against influenza A (H1N1) among students. J Educ Community Health. 2020;7(2):97-103. [Persian] [Full text]
15. Nasirzadeh M, Aligol M. Assessment of knowledge, attitude, and factors associated with the preventive behaviors of COVID-19 in Qom, Iran, in 2020. Qom Univ Med Sci J. 2020;14(7):50-7. [Persian] [Full text]
16. Jose R, Narendran M, Bindu A, Beevi N, Manju L, Benny PV. Public perception and preparedness for the pandemic COVID 19: A health belief model approach. Clin Epidemiol Glob Health. 2020;9:41-6. [PubMed]
17. Sharifirad GR, Baqiyani Moghaddam MH. The survey of attitude in health education. Tehran: ASARE SOBHAN. 2009. [Persian] [Full text]
18. Shahrabani S, Benzion U, Din GY. Factors affecting nurses' decision to get the flu vaccine. Eur J Health Econ. 2009;10(2):227-31. [PubMed]
19. Wong LP, Alias H, Wong PF, Lee HY, AbuBakar S. The use of the health belief model to assess predictors of intent to receive the COVID-19 vaccine and willingness to pay. Hum Vaccin Immunother. 2020;16(9):2204-14. [PubMed]
20. Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6(1):1-2. [PubMed]
21. Albarrak AI, Mohammed R, Al Elayan A, Al Fawaz F, Al Masry M, Al Shammari M, et al. Middle east respiratory syndrome (MERS): Comparing the knowledge, attitude and practices of different health care workers. J Infect Public Health. 2019;14(1):89-96. [PubMed]
22. Bawazir A, Al-Mazroo E, Jradi H, Ahmed A, Badri M. MERS-CoV infection: Mind the public knowledge gap. J Infect Public Health. 2018;11(1):89-93. [PubMed]
23. Deng JF, Olowokure B, Kaydos-Daniels SC, Chang HJ, Barwick RS, Lee ML, et al. Severe acute respiratory syndrome (SARS): Knowledge, attitudes, practices and sources of information among physicians answering a SARS fever hotline service. Public Health. 2006;120(1):15-9. [PubMed]
24. Goss MD, Temte JL, Barlow S, Temte E, Bell C, Birstler J, et al. An assessment of parental knowledge, attitudes, and beliefs regarding influenza vaccination. Vaccine. 2020;38(6):1565-71. [PubMed]
25. Allahverdipour H. Global challenge of health communication: Infodemia in the coronavirus disease (COVID-19) pandemic. J Educ Community Health. 2020;7(2):65-7. [Persian] [Full text]
26. Shirahmadi S, Seyedzadeh-Sabounchi S, Khazaei S, Bashirian S, Miresmaili AF, Bayat Z, et al. Fear control and danger control amid COVID-19 dental crisis: Application of the extended parallel process model. Plos One. 2020;15(8):0237490. [PubMed]
27. Tang CS, Wong CY. Factors influencing the wearing of facemasks to prevent the severe acute respiratory syndrome among adult Chinese in Hong Kong. J Prev Med. 2004;39(6):1187-93. [PubMed]

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 CC BY-NC 4.0 | J Educ Community Health

Designed & Developed by : Yektaweb