| Literature DB >> 34818322 |
Channing J Mathews1, Luke McGuire2, Angelina Joy1, Fidelia Law2, Mark Winterbottom3, Adam Rutland2, Marc Drews4, Adam J Hoffman5, Kelly Lynn Mulvey1, Adam Hartstone-Rose6.
Abstract
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.Entities:
Mesh:
Year: 2021 PMID: 34818322 PMCID: PMC8612506 DOI: 10.1371/journal.pone.0259523
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Means, standard deviations, and bivariate correlations for study variables.
| Variable Name | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Country | - | |||||||||||
| 2. Gender | -.15 | - | ||||||||||
| 3. Trust in Teachers | -.03 | -.11 | - | |||||||||
| 4. Trust in Government Leader | -.16 | -.10 | .29 | - | ||||||||
| 5. Trust in Government | -.03 | -.10 | .23 | .53 | - | |||||||
| 6. Trust in WHO | .05 | .02 | .13 | -.09 | .31 | - | ||||||
| 7. Trust in News Media | .11 | -.14 | .25 | .13 | .46 | .41 | - | |||||
| 8. Trust in Social Media | .04 | .00 | .23 | .15 | .29 | .34 | .49 | - | ||||
| 9. Trust in Scientists | .36 | -.11 | .17 | .06 | .25 | .38 | .37 | .16 | - | |||
| 10. Traditional News Media | -.17 | .05 | .13 | .23 | -.03 | -.05 | .06 | .01 | .02 | - | ||
| 11. Social News Media | -.10 | .11 | .08 | .14 | .01 | .20 | .09 | .29 | .08 | .40 | - | |
| 12. Total COVID-19 Questions Correct | -.25 | -.04 | -.07 | -.17 | .02 | .11 | .07 | .04 | -.09 | -.08 | -.10 | - |
| M | .48 | .76 | 4.76 | 3.34 | 3.92 | 5.40 | 4.03 | 2.98 | 5.44 | 3.88 | 3.58 | 2.21 |
| SD | .50 | .43 | 1.55 | 1.78 | 1.56 | 1.59 | 1.43 | 1.43 | 1.37 | 1.67 | 1.53 | .83 |
**p < .01
*p < .05
Percentage of adolescents use of news platforms.
| News Source | % of Sample Using Source |
|---|---|
| Print News | 51 |
| Online News | 90 |
| 45 | |
| 61 | |
| 77 | |
| Tik Tok | 58 |
| Snapchat | 62 |
| YouTube | 89 |
Hierarchical linear regression of news source predicting total number of questions correct.
| Variable | B | SE B | β | R2 | R2 change |
|---|---|---|---|---|---|
| Step 1 | .05 | ||||
| Gender | -0.1 | .14 | -.06 | ||
| Country | -.35 | .12 | -.22** | ||
| Step 2 | .07 | .02 | |||
| Traditional Media | -.03 | .40 | -.06** | ||
| Social Media | -.05 | .04 | -.10** | ||
| Step 3 | .10 | .03 | |||
| Trust in Government Leadership | -.09 | .04 | -.18 | ||
| Step 4 | .13 | .03 | |||
| Trust in Government Leadership X Traditional Media | -.05 | .02 | -.20 | ||
| Trust in Government Leadership X Social Media | .01 | .02 | .40** |
**p < .01
*p < .05
Fig 1Relationship between traditional news media and COVID-19 questions correct by trust.
This figure depicts how trust in government leaders moderates the relationship between traditional news media consumption (1 = Never to 7 = Every day) and the number of COVID-19 questions correct. Trust = Trust in Government Leaders’ knowledge of COVID-19.