Background and Objectives: A new generation of corona virus in the areas of China, Wuhan City has been expanded and has caused many deaths. The virus is highly contagious and spreads rapidly. So far, thousands of people have been infected with the virus. The aim of this study was to investigate the status of preventive behaviors of corona virus among household health ambassadors of Ahvaz Jundishapur University of Medical Sciences using the health belief model. Subjects and Methods This study is a cross-sectional study of analytical type that was conducted on 1020 household health ambassadors of the cities covered by Ahvaz Jundishapur University of Medical Sciences in the fall of 1399. Samples were taken using available sampling and by sending an online questionnaire link to the participants. The questionnaire was completed online. A researcher-made questionnaire was used to collect data, whose validity and reliability were determined. For data analysis, Spss software, descriptive and analytical statistics were used. Results The mean age of study participants was 31.12±7.66 years. The scores of perceived benefit were 18.81±1.80 and self-efficacy 31.76±3.71, which was higher than other structures. Correlation coefficient test showed a significant correlation between corona virus preventive behaviors and all model constructs. In regression analysis, it was found that model constructs predicted 23.7% (R2=0.237) of behavior changes. Conclusion The results confirm the predictive role of perceived benefits, barriers and perceived self-efficacy concepts in corona virus disease prevention behaviors based on the Health Belief Model. Therefore, methods of promoting these constructs, such as verbal persuasion, raising awareness of the benefits, barriers and abilities of individuals through virtual media and providing appropriate models for them, can be used as factors to improve preventive behaviors of corona virus.
Knowledge, Attitude and Beliefs of Rafsanjan Female Students Regarding Preventive Behaviors of Premenstrual Syndrome: Application of Health Belief Model
