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Volume 9, Issue 4 (11-2023)
jhehp 2023, 9(4): 188-192 |
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Rahighee F, Asadi L, Moshirenia F, Namayandeh S M, Zareipour M, Hardani M et al . Self-Care Behaviors in Preventing COVID-19: A Health Belief Model-Based among Families in Yazd City. jhehp 2023; 9 (4) :188-192
URL: http://jhehp.zums.ac.ir/article-1-610-en.html
URL: http://jhehp.zums.ac.ir/article-1-610-en.html
Fateme Rahighee1 
, Leila Asadi2 , Fateme Moshirenia3 , Seyedeh Mahdieh Namayandeh4 , MoradAli Zareipour5 , Mahdieh Hardani6 , Behjat Khorsandi * 3
, Leila Asadi2 , Fateme Moshirenia3 , Seyedeh Mahdieh Namayandeh4 , MoradAli Zareipour5 , Mahdieh Hardani6 , Behjat Khorsandi * 3
1- Critical Care Nursing, Shahid Sadoughi University of medical sciences, Yazd, Iran.
2- Department of Midwifery and Reproductive Health, Faculty of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
3- Research Center for Nursing and Midwifery Care, Non-communicable Diseases Institute, Department of Midwifery, School of Nursing and Midwifery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
4- Epidemiologist, research center of statistical modeling of health care data, health faculty, Yazd, Iran.
5- Department of Public Health, School of Health, Khoy University of Medical Sciences, Khoy, Iran.
6- Midwifery, Shahid Sadoughi University of medical sciences, Yazd, Iran.
2- Department of Midwifery and Reproductive Health, Faculty of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.
3- Research Center for Nursing and Midwifery Care, Non-communicable Diseases Institute, Department of Midwifery, School of Nursing and Midwifery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
4- Epidemiologist, research center of statistical modeling of health care data, health faculty, Yazd, Iran.
5- Department of Public Health, School of Health, Khoy University of Medical Sciences, Khoy, Iran.
6- Midwifery, Shahid Sadoughi University of medical sciences, Yazd, Iran.
Abstract: (933 Views)
Background: Identification of self-care behaviors and barriers in the COVID-19 pandemic can help health policymakers design appropriate and practical plans. This study aimed to investigate the efficacy of self-care behaviors in preventing COVID-19 based on the health belief model (HBM) among families in Yazd City.
Methods: The present cross-sectional study was conducted using the convenience sampling method in 2020. The research data were collected via a researcher-made questionnaire based on the HBM. The validity and reliability of the questionnaire were confirmed before its distribution on social networks. A total of 226 questionnaires were collected and analyzed using SPSS software version 22.
Results: The results showed no significant correlations between the mean scores of HBM constructs and participants’ age, gender, and education level (p > 0.05). Also, the linear regression test indicated that perceived self-efficacy (B = 0.88), perceived susceptibility (B = 0.63), and perceived intensity (B = 0.74) were the most predictive constructs, demonstrating statistical significance. (P < 0/05). The HBM constructs could significantly predict preventive behaviors of COVID-19 and accounted for 29.6 % of their changes (Adjusted R2 = 0.296, F = 18.85, p ≤ 0.000).
Conclusion: Implementing effective interventions based on the health belief model, with a particular focus on improving self-efficacy, perceived susceptibility, and perceived severity can reduce the incidence of COVID-19 and its associated complications.
Methods: The present cross-sectional study was conducted using the convenience sampling method in 2020. The research data were collected via a researcher-made questionnaire based on the HBM. The validity and reliability of the questionnaire were confirmed before its distribution on social networks. A total of 226 questionnaires were collected and analyzed using SPSS software version 22.
Results: The results showed no significant correlations between the mean scores of HBM constructs and participants’ age, gender, and education level (p > 0.05). Also, the linear regression test indicated that perceived self-efficacy (B = 0.88), perceived susceptibility (B = 0.63), and perceived intensity (B = 0.74) were the most predictive constructs, demonstrating statistical significance. (P < 0/05). The HBM constructs could significantly predict preventive behaviors of COVID-19 and accounted for 29.6 % of their changes (Adjusted R2 = 0.296, F = 18.85, p ≤ 0.000).
Conclusion: Implementing effective interventions based on the health belief model, with a particular focus on improving self-efficacy, perceived susceptibility, and perceived severity can reduce the incidence of COVID-19 and its associated complications.
Type of Study: Original Article |
Subject:
Environmental Health, Sciences, and Engineering
Received: 2023/09/23 | Accepted: 2023/11/8 | Published: 2023/11/22
Received: 2023/09/23 | Accepted: 2023/11/8 | Published: 2023/11/22
References
1. Liu Y, Gayle AA, Wilder-Smith A, Rocklöv J. The Reproductive Number of COVID-19 is Higher Compared to SARS Coronavirus. J Travel Med. 2020; 1(4): 7-11. [Crossref] [Google Scholar]
2. Li JY, You Z, Wang Q, Zhou ZJ, Qiu Y, Luo R, et al. The Epidemic of 2019-Novel-Coronavirus (2019-nCoV) Pneumonia and Insights for Emerging Infectious Diseases in the Future. Microbes Infect. 2020; 22(2): 80-5. [Crossref] [Google Scholar]
3. Gagneur A, Dirson E, Audebert S, Vallet S, Legrand-Quillien MC, Laurent Y, et al. Materno-Fetal Transmission of Human Coronaviruses: A Prospective Pilot Study. Eur J Clin Microbiol Infect Dis. 2008; 27: 863-6. [Crossref] [Google Scholar]
4. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical Features of Patients Infected with 2019 Novel Coronavirus in Wuhan, China. Lancet. 2020; 395(10223): 497-506. [Crossref] [Google Scholar]
5. Munster VJ, Koopmans M, Van Doremalen N, Van Riel D, De Wit E. A Novel Coronavirus Emerging in China-Key Questions for Impact Assessment. N Engl J Med. 2020; 382(8): 692-4. [Crossref] [Google Scholar]
6. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, et al. Clinical Characteristics of 138 Hospitalized Patients with 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. Jama. 2020; 323(11): 1061-9. [Crossref] [Google Scholar]
7. Zareipour MA, Sadaghianifar A, Aghziyarat NA, Azari MT, Moradali MR. Investigating the Causes of Elderly People Leaving Home During Coronavirus Disease-19 Epidemic. Open Access Maced J Med Sci. 2020; 8(T1): 548-52. [Crossref] [Google Scholar]
8. Filatov A, Sharma P, Hindi F, Espinosa PS. Neurological Complications of Coronavirus Disease (COVID-19): Encephalopathy. Cureus. 2020; 12(3): e7352. [Crossref] [Google Scholar]
9. Mao L, Jin H, Wang M, Hu Y, Chen S, He Q, et al. Neurologic Manifestations of Hospitalized Patients with Coronavirus Disease 2019 in Wuhan, China. JAMA Neurol. 2020; 77(6): 683-90. [Crossref] [Google Scholar]
10. Rajan R, Jarallah M, Dashti R. Cardiovascular Complications of Novel Wuhan Coronavirus (COVID-19)-A 2020 Update. J Cardiol Curr Res. 2020; 13(1): 28. [Crossref] [Google Scholar]
11. Zhang C, Shi L, Wang FS. Liver Injury in COVID-19: Management and Challenges. Lancet Gastroenterol Hepatol. 2020; 5(5): 428-30. [Crossref] [Google Scholar]
12. Chau TN, Lee KC, Yao H, Tsang TY, Chow TC, Yeung YC, et al. SARS-Associated Viral Hepatitis Caused by a Novel Coronavirus: Report of Three Cases. Hepatol. 2004; 39(2): 302-10. [Crossref] [Google Scholar]
13. Zareipour MA, Ardakani MF, Moradali MR, Jadgal MS, Movahed E. Determinants of COVID-19 Prevention Behavior in the Elderly in Urmia: Application of Health Belief Model. Open Access Maced J Med Sci. 2020; 8(T1): 646-50. [Crossref] [Google Scholar]
14. Razmara A, Aghamolaei T, Madani A, Hosseini Z, Zare S. Prediction of Safe Driving Behaviours Based on Health Belief Model: The Case of Taxi Drivers in Bandar Abbas, Iran. BMC Public Health. 2018; 18: 1-8. [Crossref] [Google Scholar]
15. Delshad Noghabi A, Yoshany N, Mohammadzadeh F, Javanbakht S. Predictors of Covid-19 Preventive Behaviors in Iranian Population Over 15 Years Old: An Application of Health Belief Model. J Mazandaran Univ Med Sci. 2020; 30(191): 13-21. [Google Scholar]
16. Pourhaji F, Pourhaji F, Peyman N. Encounter Corona Virus Based on Health Belief Model: A Cross-Sectional Study. Med J Mashhad Univ Med Sci. 2021; 64(4): 3634-41. [Google Scholar]
17. Gasmi A, Peana M, Noor S, Lysiuk R, Menzel A, Gasmi Benahmed A, et al. Chloroquine and Hydroxychloroquine in the Treatment of COVID-19: The Never-Ending Story. Appl Microbiol Biotechnol. 2021; 105: 1333-43. [Crossref] [Google Scholar]
18. Dhama K, Sharun K, Tiwari R, Dadar M, Malik YS, Singh KP, et al. COVID-19, an Emerging Coronavirus Infection: Advances and Prospects in Designing and Developing Vaccines, Immunotherapeutics, and Therapeutics. Hum Vaccin Immunother. 2020; 16(6): 1232-8. [Crossref] [Google Scholar]
19. Liu C, Zhou Q, Li Y, Garner LV, Watkins SP, Carter LJ, et al. Research and Development on Therapeutic Agents and Vaccines for COVID-19 and Related Human Coronavirus Diseases. ACS Cent Sci. 2020; 6(3): 315-31. [Crossref] [Google Scholar]
20. Yastica TV, Salma SA, Caesaron D, Safrudin YN, Pramadya AR. Application of Theory Planned Behavior (TPB) and Health Belief Model (HBM) in COVID-19 Prevention: A Literature Review. 2020 6th International Conference on Interactive Digital Media (ICIDM). 2020. [Crossref] [Google Scholar]
21. Rosenstock IM. The Health Belief Model and Preventive Health Behavior. Health Educ Monogr. 1974; 2(4): 354-86. [Crossref] [Google Scholar]
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