RESUMO
Background and Objective: Covid-19 preventive behaviors are essential, and designing messages that convey a sense of danger is essential to creating these behaviors. One of the most widely used models for designing danger messages is the Extended Parallel Process Model (EPPM). Therefore, the aim of this study was to determine the predictors of preventive behaviors based on EPPM. Materials and Methods: In this cross-sectional study, 1455 participants over 18 years old living in Bushehr province in cities of Bushehr, Genaveh, Tangestan, and Assaluyeh were selected by multi-stage sampling method. Data were collected online using valid and reliable questionnaires including demographic questions, constructs of the EPPM about individuals' perception of Covid-19, and preventive behaviors (hand washing and masking). Data were analyzed in SPSS software version 22. Results: Out of 1455 participants, 877 (60.3%) had preventive behaviors. According to the results, the highest rate of hand disinfection by people after attending public places was 97.5% and the highest rate of wearing a mask was 98.7% in the presence of medical centers. The constructs of perceived susceptibility, severity, and self-efficacy were predictors of preventive behaviors, and self-efficacy was the strongest predictor. Among the participants in the study, 914 (62.8%) were in the fear control process of preventive behavior, in which the highest defense response, has been about avoidance. Conclusion: In order to promote preventive behaviors, people's perceptions of the threat of disease should be increased in health messages, and people's understanding of self-efficacy should be improved by using various methods, including verbal persuasion, modeling, step-by-step goal setting, and so on. © 2022 by the Author(s).
RESUMO
Background & Aim: Considering the importance of COVID-19 vaccine acceptance to end the corona disease pandemic, the study was conducted to determine the factors affecting the vaccine acceptance based on the behavioral change wheel mode and its components (capability, opportunity, and motivation). Methods & Materials: In this cross-sectional study, 1102 adults aged 18 years and older living in Bushehr province were selected by multi-stage sampling method from February 16 to 28, 2021. To collect the data, a questionnaire including demographic characteristics, questions on the constructs related to the behavioral change wheel model components and questions on the COVID-19 vaccine acceptance was completed on WhatsApp platform. Data was analyzed using the SPSS software version 22. Results: The results of the study showed that most participants tended to receive the Iranian vaccine (726 people or 65.9%). Among the demographic factors, only gender was associated with vaccination, and men were more likely to accept to be vaccinated (P=0.022). Among the model constructs, the most predictive construct was related to social support in the opportunity component (P<0.001, β=0.55 and B=0.183). In the motivation component, social role (P<0.001 and β=0.118 and B=0.162) and in the capability component, behavioral regulation (P<0.001 and β=0.152 and B=0.155) had the highest predictor of vaccine acceptance. In general, constructs of opportunity component had the greatest impact on vaccine acceptance. Conclusion: In order to increase the acceptance of COVID-19 vaccination, opportunities should be provided through social support, vaccination should be introduced as a social role, and behavioral regulation, in other words, understanding of the ability to vaccinate to prevent the disease and break the disease transmission chain should be promoted. © 2021 The Authors. Published by Tehran University of Medical Sciences.
RESUMO
Background & Aim: Considering the importance of COVID-19 vaccine acceptance to end the corona disease pandemic, the study was conducted to determine the factors affecting the vaccine acceptance based on the behavioral change wheel mode and its components (capability, opportunity, and motivation). Methods & Materials: In this cross-sectional study, 1102 adults aged 18 years and older living in Bushehr province were selected by multi-stage sampling method from February 16 to 28, 2021. To collect the data, a questionnaire including demographic characteristics, questions on the constructs related to the behavioral change wheel model components and questions on the COVID-19 vaccine acceptance was completed on WhatsApp platform. Data was analyzed using the SPSS software version 22.