Iranian Journal of Diabetes and Obesity
Shahid Sadoughi University Of Medical Sciences
Fri, Nov 22, 2024
[Archive]
Volume 14, Issue 3 (9-2022)
IJDO 2022, 14(3): 145-151 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Mehrabbeik A, Askari M, Namiranian N. Are COVID-19 Protective Behaviours and Risk Perception More Common in Diabetic Women than Non-Diabetics?. IJDO 2022; 14 (3) :145-151
URL: http://ijdo.ssu.ac.ir/article-1-727-en.html
URL: http://ijdo.ssu.ac.ir/article-1-727-en.html
MD, Assistant professor of Community & Preventive Medicine, Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Abstract: (823 Views)
Objective: Diabetic patients are more likely to be infected and are at the higher risk of morbidity and mortality in COVID-19 pandemic. The aim of this study was to compare the preventive behaviours and perceived risk of COVID-19 in women with and without type 2 diabetes mellitus (T2DM).
Materials and Methods: The analytical cross-sectional study was conducted from June to July 2020 on 151 participants. Among T2DM patients who were referred to Yazd diabetes center 79 patients were selected by using simple random sampling method. The healthy none diabetic participants (n=72) were selected from the patients' relatives. Data were collected by a validated questionnaire including demographic information, information about diabetes, information about protective behaviours and risk perception questions. Data were analyzed using SPSS version 22.
Results: The mean (±SD) score of protective behaviours in the diabetic group was 24.34 (±3.05), which was significantly higher than the non-diabetic group (P: 0.001). The mean risk perception in the group of diabetic patients was slightly more than the group without diabetes but this difference was not statistically significant (P= 0.16). In general, there was a significant positive correlation between protective behaviours and risk perception in diabetic (r= 0.26; P< 0.01) and non-diabetic (r= 0.39; P< 0.001) groups
Conclusion: Increased perceived risk promotes preventive behaviours of COVID-19 among diabetic and non-diabetic people.
Materials and Methods: The analytical cross-sectional study was conducted from June to July 2020 on 151 participants. Among T2DM patients who were referred to Yazd diabetes center 79 patients were selected by using simple random sampling method. The healthy none diabetic participants (n=72) were selected from the patients' relatives. Data were collected by a validated questionnaire including demographic information, information about diabetes, information about protective behaviours and risk perception questions. Data were analyzed using SPSS version 22.
Results: The mean (±SD) score of protective behaviours in the diabetic group was 24.34 (±3.05), which was significantly higher than the non-diabetic group (P: 0.001). The mean risk perception in the group of diabetic patients was slightly more than the group without diabetes but this difference was not statistically significant (P= 0.16). In general, there was a significant positive correlation between protective behaviours and risk perception in diabetic (r= 0.26; P< 0.01) and non-diabetic (r= 0.39; P< 0.001) groups
Conclusion: Increased perceived risk promotes preventive behaviours of COVID-19 among diabetic and non-diabetic people.
Type of Study: Research |
Subject:
Special
Received: 2022/06/12 | Accepted: 2022/07/18 | Published: 2022/09/19
Received: 2022/06/12 | Accepted: 2022/07/18 | Published: 2022/09/19
References
1. Zhong NS, Zheng BJ, Li YM, Poon LL, Xie ZH, Chan KH, et al. Epidemiology and cause of severe acute respiratory syndrome (SARS) in Guangdong, People's Republic of China, in February, 2003. The Lancet. 2003;362(9393):1353-8. [DOI:10.1016/S0140-6736(03)14630-2]
2. Al-Ahdal MN, Al-Qahtani AA, Rubino S. Coronavirus respiratory illness in Saudi Arabia. The Journal of infection in developing countries. 2012;6(10):692-4. [DOI:10.3855/jidc.3084]
3. Biscayart C, Angeleri P, Lloveras S, Chaves TD, Schlagenhauf P, Rodríguez-Morales AJ. The next big threat to global health? 2019 novel coronavirus (2019-nCoV): What advice can we give to travellers?-Interim recommendations January 2020, from the Latin-American society for Travel Medicine (SLAMVI). Travel medicine and infectious disease. 2020;33:101567. https://doi.org/ 10.1016/j.tmaid.2020.101567 [DOI:10.1016/j.tmaid.2020.101567]
4. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The lancet. 2020;395(10223):507-13. [DOI:10.1016/S0140-6736(20)30211-7]
5. Bai Y, Yao L, Wei T, Tian F, Jin DY, Chen L, et al. Presumed asymptomatic carrier transmission of COVID-19. Jama. 2020;323(14):1406-7. [DOI:10.1001/jama.2020.2565]
6. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. China medical treatment expert group for Covid-19. Clinical characteristics of coronavirus disease. 2019;382(18):1708-20.
7. 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. The lancet. 2020;395(10223):497-506. [DOI:10.1016/S0140-6736(20)30183-5]
8. Yang J, Zheng YA, Gou X, Pu K, Chen Z, Guo Q, et al. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. International journal of infectious diseases. 2020 ;94:91-5. [DOI:10.1016/j.ijid.2020.03.017]
9. Yan AF, Sun X, Zheng J, Mi B, Zuo H, Ruan G, et al. Perceived risk, behavior changes and Health-related outcomes during COVID-19 pandemic: Findings among adults with and without diabetes in China. Diabetes research and clinical practice. 2020;167:108350. [DOI:10.1016/j.diabres.2020.108350]
10. Lihua M, Jianguo C, Kaipeng Z, Juan L, Tao Z. Protective experience of diabetic patients with 2019 novel coronavirus-infected pneumonia (2019-nCoV) in Wuhan, China. [DOI:10.21203/rs.3.rs-18038/v1]
11. Anderson RM, Heesterbeek H, Klinkenberg D, Hollingsworth TD. How will country-based mitigation measures influence the course of the COVID-19 epidemic?. The lancet. 2020;395(10228):931-4. [DOI:10.1016/S0140-6736(20)30567-5]
12. Moran KR, Del Valle SY. A meta-analysis of the association between gender and protective behaviors in response to respiratory epidemics and pandemics. PloS one. 2016;11(10):e0164541. [DOI:10.1371/journal.pone.0164541]
13. Dhama K, Sharun K, Tiwari R, Sircar S, Bhat S, Malik YS, et al. Coronavirus disease 2019-COVID-19. 2020.
https://doi.org/10.20944/preprints202003.0001.v2 [DOI:10.20944/preprints202003 .0001.v2]
14. Aerts C, Revilla M, Duval L, Paaijmans K, Chandrabose J, Cox H, et al. Understanding the role of disease knowledge and risk perception in shaping preventive behavior for selected vector-borne diseases in Guyana. PLoS neglected tropical diseases. 2020;14(4):e0008149. https://doi.org/ 10.1371/journal.pntd.0008149 [DOI:10.1371/journal.pntd.0008149]
15. Jones CL, Jensen JD, Scherr CL, Brown NR, Christy K, Weaver J. The health belief model as an explanatory framework in communication research: exploring parallel, serial, and moderated mediation. Health communication. 2015;30(6):566-76. [DOI:10.1080/10410236.2013.873363]
16. Rogers RW. Cognitive and psychological processes in fear appeals and attitude change: A revised theory of protection motivation. Social psychophysiology: A sourcebook. 1983:153-76.
17. Heo JY, Chang SH, Go MJ, Kim YM, Gu SH, Chun BC. Risk perception, preventive behaviors, and vaccination coverage in the Korean Population during the 2009-2010 Pandemic Influenza A (H1N1): comparison between high-risk group and non-high-risk group. PLoS One. 2013;8(5):e64230. [DOI:10.1371/journal.pone.0064230]
18. Khazaee-Pool M, Shahrousvand S, Naghibi SA. Predicting Covid-19 preventive behaviors based on health belief model: An Internet-based study in Mazandaran province, Iran. Journal of Mazandaran University of Medical Sciences. 2020;30(190):56-66.(in Persian)
19. Erfani A, Shahriarirad R, Ranjbar K, Mirahmadizadeh A, Moghadami M. Knowledge, attitude and practice toward the novel coronavirus (COVID-19) outbreak: a population-based survey in Iran. Bull world Health organ. 2020;30(10.2471):10-2471. [DOI:10.2471/BLT.20.256651]
20. 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. Journal of Mazandaran University of Medical Sciences. 2020;30(191):13-21.(in Persian)
21. Wise T, Zbozinek TD, Michelini G, Hagan CC, Mobbs D. Changes in risk perception and self-reported protective behaviour during the first week of the COVID-19 pandemic in the United States. Royal Society open science. 2020;7(9):200742. [DOI:10.1098/rsos.200742]
22. Camacho-Rivera M, Islam JY, Vidot DC. Associations between chronic health conditions and COVID-19 preventive behaviors among a nationally representative sample of US adults: an analysis of the COVID impact survey. Health Equity. 2020;4(1):336-44.
https://doi.org/10.1089/heq.2020.0031 [DOI:10.1089 /heq.2020.0031]
23. Islam JY, Camacho-Rivera M, Vidot DC. Examining COVID-19 Preventive Behaviors among Cancer Survivors in the United States: An Analysis of the COVID-19 Impact SurveyCOVID-19 Preventive Behaviors among US Cancer Survivors. Cancer epidemiology, biomarkers & prevention. 2020 ;29(12):2583-90. https://doi.org/ 10.1158/1055-9965.EPI-20-0801 [DOI:10.1158/1055-9965.EPI-20-0801]
24. Akalu Y, Ayelign B, Molla MD. Knowledge, attitude and practice towards COVID-19 among chronic disease patients at Addis Zemen Hospital, Northwest Ethiopia. Infection and drug resistance. 2020;13:1949. [DOI:10.2147/IDR.S258736]
25. Raude J, Lecrique JM, Lasbeur L, Leon C, Guignard R, Du Roscoät E, et al. Determinants of preventive behaviors in response to the COVID-19 pandemic in France: Comparing the sociocultural, psychosocial, and social cognitive explanations. Frontiers in Psychology. 2020;11:584500. [DOI:10.3389/fpsyg.2020.584500]
26. Papageorge NW, Zahn MV, Belot M, Van den Broek-Altenburg E, Choi S, Jamison JC, Tripodi E. Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic. Journal of Population Economics. 2021;34(2):691-738. [DOI:10.1007/s00148-020-00818-x]
27. Abdelrahman M. Personality traits, risk perception, and protective behaviors of Arab residents of Qatar during the COVID-19 pandemic. International journal of mental health and addiction. 2020:1-2.
https://doi.org/10.1007/s11469-020-00352-7 [DOI:10.1007/s11469-020-00352-7.]
28. Tran VT, Ravaud P. COVID-19-related perceptions, context and attitudes of adults with chronic conditions: Results from a cross-sectional survey nested in the ComPaRe e-cohort. PloS one. 2020;15(8):e0237296. [DOI:10.1371/journal.pone.0237296]
29. Paek HJ, Oh SH, Hove T. How fear-arousing news messages affect risk perceptions and intention to talk about risk. Health communication. 2016;31(9):1051-62. [DOI:10.1080/10410236.2015.1037419]
30. Yoo W, Paek HJ, Hove T. Differential effects of content-oriented versus user-oriented social media on risk perceptions and behavioral intentions. Health communication. 2018. https://doi.org/ 10.1080/10410236.2018.1545169 [DOI:10.1080/10410236.2018.1545169]
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
