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Volume 11, Issue 2 (2023)
Health Educ Health Promot 2023, 11(2): 325-331 |
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History
Received: 2023/03/14 | Accepted: 2023/06/13 | Published: 2023/07/15
Received: 2023/03/14 | Accepted: 2023/06/13 | Published: 2023/07/15
How to cite this article
Effect of Applying Protection Motivation Theory in COVID-19 Information Channels on Preventive Behaviors in Southwest Iran. Health Educ Health Promot 2023; 11 (2) :325-331
URL: http://hehp.modares.ac.ir/article-4-68065-en.html
URL: http://hehp.modares.ac.ir/article-4-68065-en.html
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Abstract (1949 Views)
Aims: The World Health Organization recommends preventive behaviors despite the approval of several vaccines to control COVID-19. Mass media and digital technologies also play an important role in addressing public health issues. This study aimed to investigate the protection motivation theory constructs by COVID-related information channels on protective behaviors against COVID-19 in southwestern Iran.
Instrument & Methods: In this cross-sectional descriptive study from July to August 2021, 255 patients referred to urban health centers were included by simple random sampling. Data were analyzed by SPSS 24 software using correlation and regression tests.
Findings: 32.2% of the participants received COVID-19 information through radio, TV, and satellite, and 30.6% through WhatsApp and Telegram social networks. Awareness predicted 11% of protective behavior (p<0.001; R=0.118; β=0.343). Protective motivation (behavioral intention) predicted 49.5% of behavior (p<0.001; R=0.495; R2=0.487).
Conclusion: Using protection motivation theory by information channels facilitates preventive behavior against COVID-19.
Instrument & Methods: In this cross-sectional descriptive study from July to August 2021, 255 patients referred to urban health centers were included by simple random sampling. Data were analyzed by SPSS 24 software using correlation and regression tests.
Findings: 32.2% of the participants received COVID-19 information through radio, TV, and satellite, and 30.6% through WhatsApp and Telegram social networks. Awareness predicted 11% of protective behavior (p<0.001; R=0.118; β=0.343). Protective motivation (behavioral intention) predicted 49.5% of behavior (p<0.001; R=0.495; R2=0.487).
Conclusion: Using protection motivation theory by information channels facilitates preventive behavior against COVID-19.
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