Americans' Trust in COVID-19 Information from Governmental Sources in the Trump Era: Individuals' Adoption of Preventive Measures, and Health Implications.
Health Commun
; 37(12): 1552-1561, 2022 11.
Article
in English
| MEDLINE | ID: covidwho-1852737
ABSTRACT
This study analyzes differences among Americans in their trust in COVID-19 information from governmental sources and how trust is associated with personal adoption of preventative measures under the Trump administration. Based on our analysis of data from a nationally representative survey conducted in October 2020 (effective sample size after weighting = 2615), we find that Americans in general have more trust in COVID-19 information from state/local governments than from the federal government. Variables such as age, party affiliation, religiosity, and race are significantly associated with Americans' trust or lack of trust in COVID-19 information from governmental sources. During the study period, Republicans had more trust in the federal government as a COVID-19 information source than Democrats did, while Democrats had more trust in state/local governments. African Americans had the least trust in the federal and state/local governments as COVID-19 information sources, while Asian Americans had the most trust in both institutions. Trust in the state/local governments as COVID-19 information sources was positively associated with physical distancing and mask-wearing while trust in the federal government as a COVID-19 information source was negatively associated with physical distancing and mask-wearing, suggesting the distinctive roles that state/local governments and the federal government played in mobilizing Americans to adopt preventive measures.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Observational study
Limits:
Humans
Country/Region as subject:
North America
Language:
English
Journal:
Health Commun
Journal subject:
Health Services Research
/
Health Services
Year:
2022
Document Type:
Article
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