| Literature DB >> 34991525 |
Saskia Maria De Gani1, Fabian Marc Pascal Berger2,3, Elena Guggiari2,3, Rebecca Jaks2.
Abstract
BACKGROUND: COVID-19 has developed into a worldwide pandemic which was accompanied by an «infodemic» consisting of much false and misleading information. To cope with these new challenges, health literacy plays an essential role. The aim of this paper is to present the findings of a trend study in Switzerland on corona-specific health literacy, the use of and trust in information sources during the COVID-19 pandemic, and their relationships.Entities:
Keywords: COVID-19; Coronavirus; Health information; Health literacy; Infodemic; Information seeking behavior; Information sources; Trust; Use of media
Mesh:
Year: 2022 PMID: 34991525 PMCID: PMC8735736 DOI: 10.1186/s12889-021-12271-w
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics of study participants
| Spring 2020 | Fall 2020 | Winter 2020 | |
|---|---|---|---|
| n (%) | n (%) | n (%) | |
| 1012 | 1026 | 1018 | |
| Male | 498 | 509 | 510 |
| Female | 514 | 517 | 508 |
| 18-29 years old | 185 | 197 | 220 |
| 30-39 years old | 164 | 181 | 224 |
| 40-49 years old | 186 | 193 | 154 |
| 50-59 years old | 179 | 196 | 190 |
| 60-69 years old | 175 | 167 | 157 |
| 70 years old or older | 108 | 92 | 73 |
| Yes | 868 | 885 | 851 |
| No | 135 | 141 | 167 |
| Compulsory school | 100 | 125 | 118 |
| Upper secondary level II | 491 | 401 | 410 |
| Tertiary level | 421 | 500 | 490 |
| Yes | 202 | 195 | 228 |
| No | 796 | 831 | 790 |
| Employed | 522 | 549 | 567 |
| Self-employed | 94 | 83 | 96 |
| Unemployed | 52 | 51 | 49 |
| Retired | 191 | 187 | 156 |
| Student | 55 | 69 | 61 |
| Other | 98 | 87 | 89 |
| Less than CHF 4′000 | 243 | 308 | 279 |
| CHF 4′000 - CHF 6′000 | 214 | 245 | 247 |
| CHF 6′001 - CHF 8′000 | 159 | 200 | 204 |
| CHF 8′001 - CHF 10′000 | 85 | 124 | 138 |
| CHF 10′001 - CHF 12′000 | 60 | 69 | 73 |
| More than CHF 12′000 | 48 | 80 | 77 |
| Yes, several | 231 | 145 | 128 |
| Yes, one | 116 | 340 | 305 |
| No | 626 | 541 | 585 |
a. Due to missing answers, the sum may be less than 100%
Fig. 1Index of corona-specific health literacy. Legend: Fig. 1 describes the amount of inadequate, problematic or sufficient corona-specific health literacy among the German-speaking population in Switzerland over all three survey periods
Finding information on the coronavirus and COVID-19
| Very easy | Easy | Difficult | Very difficult | ||
|---|---|---|---|---|---|
| Spring 2020 | 49% | 42% | 7% | 2% | |
| Fall 2020 | 51% | 42% | 6% | 1% | |
| Winter 2020 | 51% | 41% | 6% | 2% | |
| Spring 2020 | 44% | 47% | 8% | 1% | |
| Fall 2020 | 49% | 43% | 7% | 1% | |
| Winter 2020 | 50% | 42% | 7% | 1% | |
| Spring 2020 | 28% | 51% | 17% | 4% | |
| Fall 2020 | 36% | 48% | 14% | 2% | |
| Winter 2020 | 40% | 45% | 13% | 2% | |
| Spring 2020 | 31% | 53% | 13% | 4% | |
| Fall 2020 | 34% | 51% | 13% | 2% | |
| Winter 2020 | 37% | 47% | 14% | 2% | |
| Spring 2020 | 21% | 50% | 21% | 8% | |
| Fall 2020 | 31% | 47% | 19% | 3% | |
| Winter 2020 | 36% | 45% | 16% | 3% | |
| Spring 2020 | 25% | 48% | 22% | 5% | |
| Fall 2020 | 29% | 45% | 22% | 4% | |
| Winter 2020 | 32% | 46% | 18% | 4% | |
Understanding the information on the coronavirus and COVID-19
| Very easy | Easy | Difficult | Very difficult | ||
|---|---|---|---|---|---|
| Spring 2020 | 47% | 43% | 8% | 2% | |
| Fall 2020 | 49% | 40% | 8% | 3% | |
| Winter 2020 | 48% | 39% | 9% | 4% | |
| Spring 2020 | 32% | 55% | 11% | 2% | |
| Fall 2020 | 40% | 48% | 10% | 3% | |
| Winter 2020 | 42% | 45% | 10% | 4% | |
| Spring 2020 | 31% | 54% | 12% | 3% | |
| Fall 2020 | 39% | 48% | 11% | 2% | |
| Winter 2020 | 39% | 47% | 12% | 2% | |
| Spring 2020 | 31% | 54% | 12% | 3% | |
| Fall 2020 | 36% | 50% | 11% | 3% | |
| Winter 2020 | 38% | 47% | 11% | 4% | |
| Spring 2020 | 25% | 55% | 17% | 3% | |
| Fall 2020 | 32% | 51% | 15% | 2% | |
| Winter 2020 | 33% | 48% | 16% | 3% | |
| Spring 2020 | 23% | 55% | 19% | 3% | |
| Fall 2020 | 28% | 54% | 16% | 2% | |
| Winter 2020 | 31% | 50% | 16% | 3% | |
Appraising the information on the coronavirus and COVID-19
| Very easy | Easy | Difficult | Very difficult | ||
|---|---|---|---|---|---|
| Spring 2020 | 30% | 50% | 16% | 4% | |
| Fall 2020 | 41% | 42% | 14% | 3% | |
| Winter 2020 | 40% | 46% | 12% | 2% | |
| Spring 2020 | 24% | 52% | 19% | 5% | |
| Fall 2020 | 32% | 47% | 18% | 3% | |
| Winter 2020 | 33% | 43% | 20% | 4% | |
| Spring 2020 | 24% | 47% | 25% | 4% | |
| Fall 2020 | 30% | 41% | 25% | 4% | |
| Winter 2020 | 32% | 44% | 20% | 4% | |
| Spring 2020 | 16% | 38% | 33% | 13% | |
| Fall 2020 | 24% | 37% | 33% | 6% | |
| Winter 2020 | 26% | 40% | 29% | 5% | |
| Spring 2020 | 13% | 32% | 36% | 19% | |
| Fall 2020 | 19% | 34% | 34% | 13% | |
| Winter 2020 | 19% | 35% | 30% | 16% | |
Applying information on the coronavirus and COVID-19
| Very easy | Easy | Difficult | Very difficult | ||
|---|---|---|---|---|---|
| Spring 2020 | 36% | 48% | 14% | 2% | |
| Fall 2020 | 42% | 46% | 10% | 2% | |
| Winter 2020 | 44% | 43% | 10% | 3% | |
| Spring 2020 | 32% | 54% | 12% | 2% | |
| Fall 2020 | 41% | 48% | 9% | 2% | |
| Winter 2020 | 40% | 47% | 10% | 3% | |
| Spring 2020 | 25% | 54% | 19% | 2% | |
| Fall 2020 | 32% | 52% | 13% | 3% | |
| Winter 2020 | 36% | 48% | 13% | 3% | |
| Spring 2020 | 25% | 57% | 14% | 4% | |
| Fall 2020 | 32% | 48% | 16% | 4% | |
| Winter 2020 | 34% | 49% | 12% | 5% | |
| Spring 2020 | 18% | 49% | 27% | 6% | |
| Fall 2020 | 27% | 45% | 23% | 5% | |
| Winter 2020 | 27% | 44% | 23% | 6% | |
Proportion of individuals using a certain information source
| Spring 2020 | Fall 2020 | Winter 2020 | ||
|---|---|---|---|---|
| Television | 73% | 70% | 72% | |
| Internet | 64% | 65% | 67% | |
| Health authorities | 42% | 44% | 41% | |
| Radio | 41% | 36% | 29% | |
| Newspaper - Offline | 35% | 35% | 33% | |
| Family, friends, acquaintances | 34% | 34% | 34% | |
| News App | 27% | 27% | 25% | |
| Health professionals | 22% | 26% | 29% | |
| Social media | 26% | 24% | 27% | |
| Info-Hotline | 3% | 6% | 5% | |
a. Not all sources of information asked are reported in the table
PCA – overall trust in information sources: total variance explained
| Initial Eigenvalues | Extraction Sums of Squared Loadings | Rotation Sums of Squared Loadings | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Component | Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % | Total | % of Variance | Cumulative % |
| 1 | 43.813 | 43.813 | 5.696 | 43.813 | 43.813 | 5.161 | 39.698 | 39.698 | |
| 2 | 1.862 | 14.326 | 58.139 | 1.862 | 14.326 | 58.139 | 2.397 | 18.441 | 58.139 |
| 3 | 0.960 | 7.386 | 65.525 | ||||||
| 4 | 0.761 | 5.855 | 71.379 | ||||||
| 5 | 0.696 | 5.352 | 76.731 | ||||||
| 6 | 0.599 | 4.606 | 81.337 | ||||||
| 7 | 0.510 | 3.924 | 85.261 | ||||||
| 8 | 0.437 | 3.358 | 88.619 | ||||||
| 9 | 0.368 | 2.827 | 91.446 | ||||||
| 10 | 0.350 | 2.696 | 94.142 | ||||||
| 11 | 0.315 | 2.421 | 96.562 | ||||||
| 12 | 0.241 | 1.853 | 98.415 | ||||||
| 13 | 0.206 | 1.585 | 100.000 | ||||||
Note: Extraction method: principal component analysis
PCA – overall trust in information sources: rotated component matrix
| Componenta | ||
|---|---|---|
| Factor 1: general sources | Factor 2: social sources | |
| Television | 0.750 | |
| Teletext | 0.665 | |
| Radio | 0.774 | |
| Internet | 0.556 | |
| Social Media | 0.833 | |
| Messenger | 0.810 | |
| Newspaper - Offline | 0.720 | |
| Newspaper - Online | 0.709 | |
| News App | 0.603 | 0.410 |
| Info-Hotline | 0.793 | |
| Health Professionals | 0.749 | |
| Health Authorities | 0.803 | |
Family, Friends, Colleagues, Acquaintances | 0.564 | |
Note: Extraction method: principal component analysis
Rotation method: Varimax with Kaiser Normalization
a. Rotation converged in 3 iterations
Trust in information sources
|
| |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| Spring 2020 | Fall 2020 | Winter 2020 |
| |||||||||
| ++ | + | – | – | ++ | + | – | – | ++ | + | – | – | ||
| Health professionals | 41% | 46% | 9% | 4% | 40% | 47% | 10% | 3% | 42% | 48% | 7% | 3% |
|
| Health authorities | 41% | 41% | 12% | 6% | 42% | 40% | 12% | 6% | 47% | 39% | 10% | 4% |
|
| Info-Hotline | 34% | 47% | 12% | 7% | 37% | 45% | 14% | 4% | 44% | 41% | 10% | 5% |
|
| Radio | 17% | 61% | 17% | 5% | 15% | 59% | 22% | 5% | 13% | 58% | 23% | 6% |
|
| Internet | 16% | 55% | 24% | 5% | 17% | 55% | 24% | 4% | 16% | 58% | 21% | 5% |
|
| Television | 13% | 55% | 25% | 7% | 14% | 59% | 22% | 5% | 18% | 61% | 16% | 5% |
|
| Newspaper - Offline | 13% | 54% | 27% | 7% | 10% | 58% | 27% | 6% | 8% | 53% | 30% | 9% |
|
| News App | 8% | 50% | 31% | 11% | 8% | 46% | 38% | 8% | 6% | 43% | 40% | 11% |
|
| Family, friends, acquaintances | 9% | 44% | 39% | 8% | 10% | 47% | 37% | 6% | 9% | 49% | 36% | 6% |
|
| Social media | 4% | 10% | 56% | 30% | 4% | 15% | 49% | 32% | 4% | 20% | 42% | 34% |
|
a. Not all sources of information asked are reported in the table
++ = very trustworthy; + rather trustworthy; − = rather untrustworthy; −- = very untrustworthy
Proportions of participants using different information sources by corona-specific HL
| corona-specific HL | ||||
|---|---|---|---|---|
| inadequate | problematic | sufficient | ||
| Television | 63% | 73% | 74% | |
| Internet | 58% | 66% | 67% | |
| Radio | 35% | 40% | 40% | |
| Health authorities | 33% | 40% | 46% | |
| Family, friends, acquaintances | 32% | 34% | 35% | |
| Newspaper - Offline | 31% | 34% | 36% | |
| Social media | 26% | 25% | 26% | |
| News App | 23% | 24% | 28% | |
| Health professionals | 20% | 24% | 28% | |
| Info-Hotline | 4% | 5% | 5% | |
a. Not all sources of information asked are reported in the table
Proportions of participants trusting the different information sources by corona-specific HL
| corona-specific HL | |||||||
|---|---|---|---|---|---|---|---|
| inadequate | problematic | sufficient | |||||
| ++ | + | ++ | + | ++ | + | ||
| Health professionals | 19% | 54% | 33% | 55% | 50% | 42% | |
| Health authorities | 19% | 42% | 33% | 49% | 53% | 36% | |
| Info-Hotline | 14% | 48% | 31% | 54% | 46% | 41% | |
| Television | 5% | 44% | 9% | 62% | 20% | 60% | |
| Internet | 5% | 43% | 9% | 61% | 22% | 57% | |
| Family, friends, acquaintances | 5% | 35% | 5% | 46% | 12% | 49% | |
| Radio | 4% | 42% | 8% | 64% | 20% | 60% | |
| Newspaper - Offline | 4% | 34% | 4% | 57% | 14% | 58% | |
| News App | 2% | 26% | 4% | 43% | 10% | 52% | |
| Social media | 2% | 12% | 3% | 12% | 5% | 20% | |
a. Not all sources of information asked are reported in the table
++ = very trustworthy; + = rather trustworthy
Indices of general/social sources and corona-specific HL
| Index 1: overall trust in «general sources» | Index 2: | Index 3: | Index 4: | Corona-specific HL | |||
|---|---|---|---|---|---|---|---|
| Spearman’s Rho | Index 1: overall trust in «general sources» | Correlation coeff. | 1 | 0.281* | 0.758* | 0.272* | 0.383* |
| N | 3131 | 3131 | 3078 | 1307 | 3077 | ||
| Index 2: overall trust in «social sources» | Correlation coeff. | 0.281* | 1 | 0.193* | 0.662* | 0.165* | |
| N | 3131 | 3131 | 3078 | 1307 | 3077 | ||
| Index 3: actual trust in «general sources» | Correlation coeff. | 0.758* | 0.193* | 1 | 0.316* | 0.336* | |
| N | 3078 | 3078 | 3078 | 1265 | 3032 | ||
| Index 4: actual trust in «social sources» | Correlation coeff. | 0.272* | 0.662* | 0.316* | 1 | 0.235* | |
| N | 1307 | 1307 | 1265 | 1307 | 1296 | ||
| Corona-specific HL | Correlation coeff. | 0.383* | 0.165* | 0.336* | 0.235* | 1 | |
| N | 3077 | 3077 | 3032 | 1296 | 3077 | ||
* The correlation is significant at the 0.01 level (two-sided)