The Compliance with Health Protocols to Prevent COVID-19 Based on Demographic Characteristics of Population in Isfahan Metropolitan, Iran

Document Type : Original Articles

Authors

1 MSc of Business Management, Department of Management, Shahid Ashrafi Esfahani Non Profit University, Isfahan, Iran

2 Assistant Professor, Department of Management, Shahid Ashrafi Esfahani Non Profit University, Isfahan, Iran

10.22122/jrrs.v16i0.3616

Abstract

Introduction: Prevention is the best way to effectively deal with COVID-19. Planning to prevent COVID-19 depends on information such as the extent to which health protocols are respected. For this purpose, the present study aimed to assess the extent of compliance with health protocols to prevent COVID-19 incidence given the demographic characteristics of population in Isfahan metroplolitan, Iran.Materials and Methods: A questionnaire was designed by the researcher, and its validity and reliability were confirmed. The questionnaire was distributed through social media, and filled in by 380 Isfahani citizens. Data were analyzed using independent t, Mann-Whitney, and Kruskal-Wallis tests.Results: Women complied with the health protocols significantly more than men (P < 0.001), but the extent of compliance with health protocols showed no significant difference between individuals at different ages (P = 0.473), with different levels of income (P = 0.725), different education levels (P=0.284), and the presence or absence of underlying diseases (P = 0.987). Moreover, in complying with health protocols, less attention was paid to timely replacement of masks.Conclusion: Findings from this study show that how people comply with health protocols depends on factors such as gender. Moreover, the participants attached different levels of importance to different health guidelines.

Keywords

  1. Wilson ME, Chen LH. Travellers give wings to novel coronavirus (2019-nCoV). J Travel Med; 27(2): taaa015.
  2. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med 2020; 382(8): 727-33.
  3. Gralinski LE, Menachery VD. Return of the coronavirus: 2019-nCoV. Viruses 2020; 12(2): 135.
  4. Zangrillo A, Beretta L, Silvani P, Colombo S, Scandroglio AM, Dell'Acqua A, et al. Fast reshaping of intensive care unit facilities in a large metropolitan hospital in Milan, Italy: Facing the COVID-19 pandemic emergency. Crit Care Resusc 2020; 22(2): 91-4.
  5. Worldometer. Coronavirus Update (Live) [Online]. [cited 2020]; Available from: URL: https://www.worldometers.info/coronavirus/
  6. Lai CC, Shih TP, Ko WC, Tang HJ, Hsueh PR. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges. Int J Antimicrob Agents 2020; 55(3): 105924.
  7. Cascella M, Rajnik M, Aleem A, Dulebohn SC, Di NR. Features, evaluation, and treatment of coronavirus (COVID-19). In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2021 Jan.
  8. Dickens BL, Koo JR, Wilder-Smith A, Cook AR. Institutional, not home-based, isolation could contain the COVID-19 outbreak. Lancet 2020; 395(10236): 1541-2.
  9. Wilder-Smith A, Freedman DO. Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. J Travel Med 2020; 27(2): taaa020.
  10. Taherinia M, Hasanvand A. Economic consequences of Covid-19 disease on the Iranian economy; with an emphasis on employment. Journal of Nursing Management 2020; 9(3): 43-58. [In Persian].
  11. O'Connor RC, Wetherall K, Cleare S, McClelland H, Melson AJ, Niedzwiedz CL, et al. Mental health and well-being during the COVID-19 pandemic: longitudinal analyses of adults in the UK COVID-19 Mental Health & Wellbeing study. Br J Psychiatry 2020; 1-8.
  12. Yoosefi LJ, Abbas J, Moradi F, Salahshoor MR, Chaboksavar F, Irandoost SF, et al. How the COVID-19 pandemic effected economic, social, political, and cultural factors: A lesson from Iran. Int J Soc Psychiatry 2021; 67(3): 298-300.
  13. Khademian F, Delavari S, Koohjani Z, Khademian Z. An investigation of depression, anxiety, and stress and its relating factors during COVID-19 pandemic in Iran. BMC Public Health 2021; 21(1): 275.
  14. Rajkumar RP. COVID-19 and mental health: A review of the existing literature. Asian J Psychiatr 2020; 52: 102066.
  15. Vahia IV, Blazer DG, Smith GS, Karp JF, Steffens DC, Forester BP, et al. COVID-19, mental health and aging: A need for new knowledge to bridge science and service. Am J Geriatr Psychiatry 2020; 28(7): 695-7.
  16. Sohrabi C, Alsafi Z, O'Neill N, Khan M, Kerwan A, Al-Jabir A, et al. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). Int J Surg 2020; 76: 71-6.
  17. Sharif A, Aloui C, Yarovaya L. COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach. Int Rev Financ Anal; 70: 101496.
  18. Bish A, Michie S. Demographic and attitudinal determinants of protective behaviours during a pandemic: A review. Br J Health Psychol 2010; 15(Pt 4): 797-824.
  19. Dowd JB, Andriano L, Brazel DM, Rotondi V, Block P, Ding X, et al. Demographic science aids in understanding the spread and fatality rates of COVID-19. Proc Natl Acad Sci USA 2020; 117(18): 9696-8.
  20. Zaki N, Alashwal H, Ibrahim S. Association of hypertension, diabetes, stroke, cancer, kidney disease, and high-cholesterol with COVID-19 disease severity and fatality: A systematic review. Diabetes Metab Syndr 2020; 14(5): 1133-42.
  21. Huang I, Lim MA, Pranata R. Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia - A systematic review, meta-analysis, and meta-regression. Diabetes Metab Syndr 2020; 14(4): 395-403.
  22. Lau JT, Yang X, Tsui H, Kim JH. Monitoring community responses to the SARS epidemic in Hong Kong: from day 10 to day 62. J Epidemiol Community Health 2003; 57(11): 864-70.
  23. Leung GM, Ho LM, Chan SK, Ho SY, Bacon-Shone J, Choy RY, et al. Longitudinal assessment of community psychobehavioral responses during and after the 2003 outbreak of severe acute respiratory syndrome in Hong Kong. Clin Infect Dis 2005; 40(12): 1713-20.
  24. Quah SR, Hin-Peng L. Crisis prevention and management during SARS outbreak, Singapore. Emerg Infect Dis 2004; 10(2): 364-8.
  25. Tang CS, Wong CY. Factors influencing the wearing of facemasks to prevent the severe acute respiratory syndrome among adult Chinese in Hong Kong. Prev Med 2004; 39(6): 1187-93.
  26. Jones JH, Salathe M. Early assessment of anxiety and behavioral response to novel swine-origin influenza A(H1N1). PLoS One 2009; 4(12): e8032.
  27. 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.
  28. O'Fallon MJ, Butterfield KD. A review of the empirical ethical decision-making literature: 1996-2003. J Bus Ethics 2005; 59(4): 375-413.
  29. Phillips DL, Clancy KJ. Some effects of "social desirability" in survey studies. Am J Sociol 1972; 77(5): 921-40.
  30. Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, et al. 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): 1745-52.
  31. Keeter S, McGeeney K, Igielnik R, Mercer A, Mathiowetz N. From telephone to the web: The challenge of mode of interview effects in public opinion polls. Pew Research Center [Online]. [cited 13 May 2015]; Available from: URL: https://www.pewresearch.org/methods/2015/05/13/from-telephone-to-the-web-the-challenge-of-mode-of-interview-effects-in-public-opinion-polls/