- Award ID(s):
- 2009977
- NSF-PAR ID:
- 10533992
- Publisher / Repository:
- ACM
- Date Published:
- Journal Name:
- ACM Transactions on Computer-Human Interaction
- Volume:
- 30
- Issue:
- 4
- ISSN:
- 1073-0516
- Page Range / eLocation ID:
- 1 to 31
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Camacho-Rivera, Marlene (Ed.)This study explored relations between COVID-19 news source, trust in COVID-19 information source, and COVID-19 health literacy in 194 STEM-oriented adolescents and young adults from the US and the UK. Analyses suggest that adolescents use both traditional news (e.g., TV or newspapers) and social media news to acquire information about COVID-19 and have average levels of COVID-19 health literacy. Hierarchical linear regression analyses suggest that the association between traditional news media and COVID-19 health literacy depends on participants’ level of trust in their government leader. For youth in both the US and the UK who used traditional media for information about COVID-19 and who have higher trust in their respective government leader (i.e., former US President Donald Trump and UK Prime Minister Boris Johnson) had lower COVID-19 health literacy. Results highlight how youth are learning about the pandemic and the importance of not only considering their information source, but also their levels of trust in their government leaders.more » « less
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Abstract Background This article addresses the urgent need for more evidence-based research using primary data to document how the COVID-19 pandemic affected the health and social wellbeing of disabled individuals. Our study sought to determine if adults with disabilities, and with specific types of disability, were more likely to suffer adverse health and social impacts related to COVID-19 than nondisabled adults in metropolitan Texas, during the first 18 months of the pandemic.
Methods We collected primary data from randomly selected residents in eight Texas metropolitan areas through a bilingual telephone survey in July 2021. Statistical analysis comprised multivariable generalized estimating equations that control for relevant sociodemographic and COVID-related risk factors, and spatial clustering.
Results Disabled survey respondents had been more adversely affected by COVID-19 than nondisabled respondents, in terms of mental and physical health, health care access, living conditions and social life. Significant disparities were also found for almost all COVID-19 impacts when the disabled category was disaggregated by disability type. Respondents experiencing cognitive and independent living difficulties were negatively impacted in all five areas of life examined.
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