Predicting Covid-19 preventive behaviors based on constructs of health belief model

Abstract

Abstract Introduction and objective: The prevalence of Covid-19 has become a clinical threat worldwide. However, knowledge about this new virus is limited. Therefore, this study was conducted to determine the preventive behaviors of Covid-19 based on the constructs of health belief model (HBM) in the clients of health centers in Zabol, Iran. Methods: This descriptive–analytical (cross-sectional) study was performed on 160 people referring to health centers in Zabol by the available method. A researcher-made questionnaire was used to collect data. Data were analyzed using SPSS20 software and appropriate statistical tests. Results: A positive and significant correlation was observed between preventive behaviors of Covid-19 and perceived benefit constructs (r = 0.29, P = 0.0001) and self-efficacy (r = 0.39, P = 0.0001). HBM constructs were able to predict about 36% of the variance of Covid-19 disease preventive behaviors, with self-efficacy (B = 0.134) being the strongest predictor. Conclusion: Since no specific and definitive treatment for Corona has been found yet, taking preventive measures can be the best way to prevent the spread of this disease in the community. Therefore, this can be achieved by raising awareness and preventive behaviors through health education.