Predicting preventive behaviors against COVID-19: A structural equation modeling approach from Iran.

Background: The purpose of this study was to use the health belief model (HBM) to predict the adoption of preventive behaviors against COVID-19 using the structural equation modeling approach. Methods: As a descriptive-analytical study, this research was conducted on 831 men and women who were under the coverage of comprehensive health service centers in the Lorestan province of Iran in 2021. A questionnaire based on HBM was used to collect data. Data were analyzed by the SPSS software version 22 and AMOS version 21. Results: The mean age of participants was 33.0 ± 8.5, with a range of 15-68 years. The constructs of the HBM explained about 31.7% of the variance in COVID-19-related preventive behaviors. The greatest total effect on preventive behaviors against the COVID-19 disease belonged to the constructs of perceived self-efficacy (0.370), perceived barriers (-0.294), and perceived benefits (0.270), in descending order of impact. Conclusion: Educational interventions can be useful in promoting COVID-19 preventive behaviors by bringing about a correct understanding of self-efficacy, barriers, and benefits.

Factors related to preventive COVID-19 behaviors using health belief model among general population: a cross-sectional study in Iran.

BACKGROUND: Coronavirus disease (COVID-19) pandemic has become one of the biggest challenges to global health and economy. The present study aimed to explore the factors related to preventive health behaviors during the COVID-19 pandemic in Khuzestan Province, South of Iran, using the Health Belief Model (HBM). METHODS: The present cross-sectional study was conducted in the period between July 2020 and September 2020. A total of 1090 people from Khuzestan province participated in the study. The data collection method included a multistage cluster sampling method with a random selection of provincial of health centers. The questionnaire collected socio-demographic information and HBM constructs (e.g., perceived susceptibility, perceived severity, perceived benefits and barriers, cues to action, and COVID-19 preventive behaviors). Data were analyzed using ANOVA, t-test, hierarchical multiple linear regression, and SPSS version 22. RESULTS: The mean age of the participants was 35.53 ± 11.53, more than half of them were female (61.6%) and married (65.3). The results showed that 27% of the variance in the COVID-19 preventive behaviors was explained by HBM constructs. The regression analysis indicated that female gender (ß = 0.11), perceived benefits (ß = 0.10), perceived barriers (ß = - 0.18), external cues to action (ß = 0.25), and internal cues to action (ß = 0.12) were significantly associated with COVID-19 preventive behaviors (p < 0.05). CONCLUSION: Designing an educational intervention on the basis of HBM might be considered as a framework for the correction of beliefs and adherence to COVID-19 behavior. Health information campaigns need to (1) emphasize the benefits of preventive behaviors including avoiding the likelihood of getting a chronic disease and complications of the disease, (2) highlight the tips and advice to overcome the barriers (3) provide cues to action by means of showing various reminders in social media (4) focusing on adoption of COVID-19-related preventive behaviors, especially among men.