Volume 31, Issue 195 (4-2021)
J Mazandaran Univ Med Sci 2021, 31(195): 19-29 |
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Khazaee-Pool M, Naghibi M, Pashaei T, Chaleshgar Kordasiabi M. Use of Protection Motivation Theory to Assess
Preventive Behaviors of COVID-19. J Mazandaran Univ Med Sci 2021; 31 (195) :19-29
URL: http://jmums.mazums.ac.ir/article-1-15621-en.html
URL: http://jmums.mazums.ac.ir/article-1-15621-en.html
Abstract: (2510 Views)
Background and purpose: The global prevalence and morbidity of Coronavirus disease 2019 (COVID-19) are high. Preventive behaviors are proven to reduce the damage caused by the disease. There is a paucity of information on determinants of preventive behaviors in response to COVID-19 in Mazandaran province, north of Iran. So, we aimed to evaluate protection motivation theory (PMT) in promoting preventive behaviors of COVID-19 in Mazandaran province.
Materials and methods: In this descriptive cross-sectional study, 1220 individuals participated. They were selected via social networks using convenience sampling in 2020. Data were collected online using a demographic questionnaire and a valid and reliable scale based on PMT. Data analysis was done using Pearson correlation coefficient and linear regression in SPSS V24.
Results: Mean age of the participations was 39.34±8.74 years. Regression model showed perceived threat (ß =0.033, P =0.007), perceived costs (ß=0.039, P=0.045), perceived self-efficacy
(ß =0.116, P>0.001), and perceived fear (ß=0.131, P>0.001) as the significant predictors of COVID-19 preventive behaviors. This model accounted for 78% of the variance in these behaviors.
Conclusion: According to constructs of the PMT associated with protection against COVID-19, educational programs and health promotion based on the theory and benefiting from social networks could be helpful in increasing the motivation of people towards protective behaviors of COVID-19.
Materials and methods: In this descriptive cross-sectional study, 1220 individuals participated. They were selected via social networks using convenience sampling in 2020. Data were collected online using a demographic questionnaire and a valid and reliable scale based on PMT. Data analysis was done using Pearson correlation coefficient and linear regression in SPSS V24.
Results: Mean age of the participations was 39.34±8.74 years. Regression model showed perceived threat (ß =0.033, P =0.007), perceived costs (ß=0.039, P=0.045), perceived self-efficacy
(ß =0.116, P>0.001), and perceived fear (ß=0.131, P>0.001) as the significant predictors of COVID-19 preventive behaviors. This model accounted for 78% of the variance in these behaviors.
Conclusion: According to constructs of the PMT associated with protection against COVID-19, educational programs and health promotion based on the theory and benefiting from social networks could be helpful in increasing the motivation of people towards protective behaviors of COVID-19.
Type of Study: Research(Original) |
Subject:
Epidemiology
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