| Literature DB >> 35839380 |
Mami Inoue1, Kanako Shimoura1, Momoko Nagai-Tanima1, Tomoki Aoyama1.
Abstract
BACKGROUND: The COVID-19 pandemic has caused not only a disease epidemic but also an infodemic. Due to the increased use of the internet and social media, along with the development of communication technology, information has spread faster and farther during the COVID-19 infodemic. Moreover, the increased choice of information sources has made it more difficult to make sound decisions regarding information. Although social media is the most common source of misinformation, other forms of media can also spread misinformation. However, the media sources used by people with high health literacy and COVID-19 knowledge to obtain information are unclear. Furthermore, the association between the use of multiple information sources and health literacy or COVID-19 knowledge is ill-defined.Entities:
Keywords: COVID-19 infodemic; COVID-19 knowledge; cross-sectional study; digital media; health literacy; information source; mass media; social media
Mesh:
Year: 2022 PMID: 35839380 PMCID: PMC9311384 DOI: 10.2196/38332
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 7.076
COVID-19 knowledge questions.
| Question | Answer |
| COVID-19 is vulnerable to heat, and low-temperature water (25-35°C) has a bactericidal effect. | Incorrect |
| Alcohol disinfection is effective against COVID-19. | Correct |
| COVID-19 vaccine makes you infertile. | Incorrect |
| Vaccination can lead to infection with COVID-19. | Incorrect |
| The vaccine can be given during pregnancy, during lactation, or while planning a pregnancy. | Correct |
| If a vaccinated person becomes infected with a mutated virus, they are likely to become seriously ill. | Incorrect |
Figure 1Method of classifying sources of information. SNS: social networking service; TV: television.
Participants’ characteristics and comparison of the CCHLa score and the CASb.
| Variables | Participants, n (%) | CCHL score, mean (SD) | CAS, mean (SD) |
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| Total | 477 (100) | 3.61 (0.67) | 3.75 (2.01) |
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| 20-29 | 90 (18.9) | 3.57 (0.07) | 3.31 (0.20) |
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| 30-39 | 92 (19.3) | 3.54 (0.07) | 3.55 (0.20) |
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| 40-49 | 98 (20.5) | 3.59 (0.07) | 3.26 (0.20) |
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| 50-59 | 97 (20.3) | 3.67 (0.07) | 3.88 (0.20) |
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| 60-69 | 100 (21.0) | 3.67 (0.07) | 4.67 (0.20)d |
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| Male | 240 (50.0) | 3.63 (0.04) | 3.74 (0.13) |
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| Female | 237 (50.0) | 3.59 (0.04) | 3.76 (0.13) |
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| Middle school | 8 (1.7) | 3.28 (0.24) | 3.00 (0.71) |
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| High school | 150 (31.4) | 3.54 (0.05) | 3.51 (0.16) |
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| Technical school and junior college | 117 (24.5) | 3.62 (0.06) | 4.00 (0.19) |
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| University | 181 (38.0) | 3.65 (0.05) | 3.77 (0.15) |
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| Graduate school | 21 (4.4) | 3.91 (0.14) | 4.14 (0.44) |
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aCCHL: Communicative and Critical Health Literacy.
bCAS: correct answer score.
cP<.05.
dThe CAS in the age group of 60-69 years was significantly higher than in other age groups.
Figure 2Percentage of responses for information sources. SNS: social networking service; TV: television.
Distribution by media type (N=477).
| Media type | Total, n (%) | Males, n (%) | Females, | 20-29 years, n (%) | 30-39 years, n (%) | 40-49 years, n (%) | 50-59 years, n (%) | 60-69 years, n (%) | ||
| Mass media | 413 (86.6) | 206 (85.8) | 207 (87.3) | .69 | 73 (81.1) | 78 (84.8) | 83 (84.7) | 82 (84.5) | 97 (97.0) | .42 |
| Digital media | 288 (60.4) | 144 (60.0) | 144 (60.8) | .93 | 53 (58.9) | 55 (59.8) | 54 (55.1) | 64 (66.0) | 62 (62.0) | .78 |
| Social media | 144 (30.2) | 69 (28.8) | 75 (31.7) | .55 | 50 (55.6) | 32 (34.8) | 26 (26.5) | 16 (16.5) | 20 (20.0) | <.001a,b |
| Face-to-face communication | 222 (46.5) | 95 (39.6) | 127 (53.6) | .002a | 40 (44.4) | 39 (42.4) | 47 (48.0) | 46 (47.4) | 50 (50.0) | .73 |
aP<.05.
bSocial media use in the age group of 20-29 years was significantly higher than in the other age groups. Social media use in the age group of 30-39 years was significantly higher than in individuals aged 50-59 and 60-69 years. Individuals aged 40-49 years had significantly higher social media use than individuals aged 50-59 years.
Multiple linear regression analysis with the CCHLa score as the dependent variable and sexb and age as adjustment variables.
| Media type | βc | 95% CI | |
| Mass media | .04 | –0.04 to 0.13 | .33 |
| Digital media | .14 | 0.03-0.16 | .003d |
| Social media | –.02 | –0.09 to 0.05 | .63 |
| Face-to-face communication | .11 | 0.01-0.14 | .02d |
aCCHL: Communicative and Critical Health Literacy.
bMedia use and male sex were set as 1.
cStandardized regression coefficient.
dP<.05.
Multiple linear regression analysis with the CASa as the dependent variable and sexb and age as adjustment variables.
| Media type | βc | 95% CI | |
| Mass media | .09 | 0-0.51 | .05d |
| Digital media | .17 | 0.17-0.55 | <.001d |
| Social media | –.02 | –0.25 to 0.16 | .69 |
| Face-to-face communication | .10 | 0.03-0.39 | .02d |
aCAS: correct answer score.
bMedia use and male sex were set as 1.
cStandardized regression coefficient.
dP<.05.