Mass Media Influence on Changing lifestyle of Community People During COVID-19 Pandemic in Bangladesh: A Cross Sectional Survey

Autor: Abu Reza Md. Towfiqul I, Md. Nazrul Islam, Md. Sajjat Hossain, Md. Tabiur Rahman Prodhan, Mohammad Hasan Chowdhury, Hasan Al Mamun
Rok vydání: 2020
DOI: 10.21203/rs.3.rs-106338/v1
Popis: AimA huge amount of information associated with the novel coronavirus disease 2019 (COVID-19) outbreak was circulated by mass media in Bangladesh. To date, there is no example on how the lifestyle of the community people in Bangladesh may influence mass media intervention during a pandemic. We aimed to assess mass media influence on changing the lifestyle behavior of people during the early phase of the COVID-19 pandemic. Subject and methodsAn online cross-sectional survey with a limited face-to-face interview among 2080 Bangladeshi respondents was conducted between March 26 and April 1, 2020. Datasets were analyzed through a set of statistical methods such as classical test theory assessment, principal component analysis, Pearson’s correlation coefficient, and stepwise multiple regression model. ResultsThe results showed that there was a positive significant relationship between the composite lifestyle score and the social media is trustworthy during the COVID-19 pandemic (r=0.508, p < 0.01), while there was a negative relationship between the composite lifestyle score of the respondents and the daily online media platforms usage in COVID-19 period (r=−0.201, p < 0.01). The results also disclosed that knowledge level, media credibility, and media check-in had the largest contribution to influence the changing lifestyle of the community people. We also found that social media was highly used media as expected during the COVID-19 outbreak while the administrative action has little influence on the changing lifestyle behavior.ConclusionOur outcomes stress the significance of the reliability of information shared via mass media outlets and practical strategies to counter misinformation during the COVID-19 outbreak.
Databáze: OpenAIRE