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Predicting preventive behaviors against COVID-19: A structural equation modeling approach from Iran
Fatemeh Bastami1, Soraya Nouraei Motlagh1, Seyedeh Faezeh Rahimzadeh2
1Social Determinants of Health Research Center, Department of Public Health, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, 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.
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