| Literature DB >> 35605112 |
Dominika Grygarová1, Petr Adámek1,2, Veronika Juríčková1,3, Jiří Horáček1,2, Eduard Bakštein4,5, Iveta Fajnerová2,6, Ladislav Kesner1,7.
Abstract
BACKGROUND: Due to the COVID-19 pandemic, the Czech population experienced a second lockdown lasting for about half a year, restricting free movement and imposing social isolation. However, it is not known whether the impact of this long lockdown resulted in habituation to the adverse situation or in the traumatization of the Czech population, and whether the media and specific media use contributed to these effects.Entities:
Keywords: COVID-19; anxiety; depression; lockdown; longitudinal study; media news; media use; mental health; mental stress; nationally representative data; pandemic; psychological trauma; social isolation; social media; survey
Year: 2022 PMID: 35605112 PMCID: PMC9277533 DOI: 10.2196/36050
Source DB: PubMed Journal: JMIR Ment Health ISSN: 2368-7959
Figure 1Visualization of daily new confirmed COVID-19 cases per million people in Czechia. In comparison to surrounding countries (Poland, Germany, Austria, Slovakia) and Italy, Czechia was the worst affected European country at the peak of the first wave of the COVID-19 pandemic. Visualization and data retrieved from Johns Hopkins University [20].
Scores of the Generalized Anxiety Disorder questionnaire (GAD-7) and Patient Health Questionnaire Depression Scale (PHQ-8) in the first and second waves of the survey (N=1771).
| Scale | First wave, n (%) | Second wave, n (%) | |
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| |||
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| Minimal symptoms | 1420 (79.9) | 1377 (77.75) |
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| Mild | 248 (14) | 280 (15.8) |
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| Moderate | 77 (4.3) | 66 (3.7) |
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| Severe | 32 (1.8) | 54 (3.0) |
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| |||
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| No symptoms | 1330 (74.8) | 1308 (73.6) |
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| Mild | 300 (16.9) | 304 (17.1) |
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| Moderate | 94 (5.3) | 90 (5.1) |
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| Moderate to severe | 37 (2.1) | 51 (2.9) |
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| Severe | 16 (1.4) | 24 (1.4) |
Media factors, factor items, and factor descriptions.
| Media factor (MF) | Factor items | Factor description |
| MF1: Conscientious public news use | Lack of interest in news (negative factor loading), lack of time to follow news (negative factor loading), politics, economics, public media (audiovisual broadcast media) | Media practice characterized by interest in media news and determination to find time and follow information of great social significance (“hard news” other than pandemic-related) via public media (the media outlet commonly viewed as the most reliable) |
| MF2: News aversion | Frustration with news, annoyance with news, stress avoidance, mistrust in media, lack of concentration to news | The use of media that is characterized by various negative attitudes to the media: mistrust in the media; frustration, annoyance, and avoidance behavior toward the media news |
| MF3: News reading | Mainstream media, foreign media, antisystem media, official public sources, opinion online newspapers | Media practice characterized by the use of news from various media categories other than public and commercial (which are mostly audio/audiovisual). Media news reports in MF3 have a variety of journalistic styles but are almost exclusively of the print/internet type (requiring reading) |
| MF4: Social media practice in news consumption | Reading comments, social media as a news source, perceived stress from the media | Media practice of news consumption linked to social media use characterized by using social media as an information source, reading comments, and subjectively perceived stress from the media |
| MF5: Infotainment | Commercial media, entertainment, crime, sports | Media practice characterized by the use of commercial media news and the use of entertainment topics that are typical for commercial media (show business, sports, and crime) |
| MF6: Internalized use | Internalization of media news, positive appreciation of news | Media practice that attaches great importance to news information, which has a great impact on personal inner/social life and behavior. This practice also groups a positive appreciation of media news (the impact of information on one’s own life must necessarily be associated with some level of trust in the source of the information) |
| MF7: Use of practical news | Transport, weather, environment, health, culture, science and technologies | Media practice characterized by the use of news sections providing practical information, which helps to navigate daily life |
Results of the multiple linear regression model for anxiety.
| Variable | First wave of the survey ( | Second wave of the survey ( | ||||||
|
| Coefficient (SE) | Coefficient (SE) | ||||||
| Intercept | 1.484 (0.176) | 8.449 | <.001 | 1.288 (0.146) | 8.829 | <.001 | ||
| Conscientious public news use (MFa1) | –0.016 (0.037) | –0.422 | .67 | 0.041 (0.077) | 0.532 | .59 | ||
| News aversion (MF2) | 0.186 (0.032) | 5.803 | <.001 | 0.147 (0.070) | 2.106 | .04 | ||
| News reading (MF3) | 0.053 (0.033) | 1.589 | .11 | 0.092 (0.041) | 2.257 | .02 | ||
| Social media practice (MF4) | 0.263 (0.034) | 7.773 | <.001 | 0.584 (0.077) | 7.618 | <.001 | ||
| Infotainment (MF5) | –0.071 (0.035) | –2.026 | .04 | –0.643 (0.166) | –3.880 | <.001 | ||
| Internalized use (MF6) | 0.263 (0.033) | 8.038 | <.001 | 0.282 (0.067) | 4.224 | <.001 | ||
| Practical use (MF7) | 0.015 (0.032) | 0.457 | .65 | 0.193 (0.114) | 1.689 | .09 | ||
| Media news exposure | –0.0004 (0.0004) | –0.914 | .36 | –0.001 (0.0004) | –1.263 | .21 | ||
| COVID-19 news exposure | 0.090 (0.040) | 2.249 | .03 | 0.280 (0.035) | 7.951 | <.001 | ||
| Reading habits | –0.042 (0.021) | –1.990 | .05 | –0.061 (0.020) | –2.969 | .003 | ||
| Age | –0.011 (0.002) | –6.011 | <.001 | –0.016 (0.002) | –8.440 | <.001 | ||
| Gender (women) | 0.123 (0.061) | 2.031 | .04 | 0.203 (0.057) | 3.584 | <.001 | ||
aMF: media factor.
Results of the multiple linear regression model for depression.
| Variable | First wave of the survey ( | Second wave of the survey ( | ||||||
|
| Coefficient (SE) | Coefficient (SE) | ||||||
| Intercept | 1.273 (0.178) | 7.137 | <.001 | 1.533 (0.150) | 10.223 | <.001 | ||
| Conscientious public news use (MFa1) | 0.001 (0.038) | 0.025 | .98 | –0.100 (–0.099) | –1.259 | .21 | ||
| News aversion (MF2) | 0.159 (0.032) | 4.905 | <.001 | 0.187 (0.072) | 2.609 | .009 | ||
| News reading (MF3) | 0.048 (0.034) | 1.431 | .15 | 0.048 (0.042) | 1.161 | .25 | ||
| Social media practice (MF4) | 0.265 (0.034) | 7.723 | <.001 | 0.503 (0.079) | 6.368 | <.001 | ||
| Infotainment (MF5) | –0.122 (0.036) | –3.435 | .001 | –0.471 (0.170) | –2.767 | .006 | ||
| Internalized use (MF6) | 0.229 (0.033) | 6.901 | <.001 | 0.254 (0.069) | 3.696 | <.001 | ||
| Use of practical news (MF7) | –0.005 (0.033) | –0.165 | .87 | 0.019 (0.117) | 0.164 | .87 | ||
| Media news exposure | –0.00037 (0.0004099) | –0.919 | .36 | –0.0002904 (0.0004214) | –0.689 | .49 | ||
| COVID-19 news exposure | 0.161 (0.041) | 3.963 | <.001 | 0.233 (0.036) | 6.445 | <.001 | ||
| Reading habits | –0.021 (0.021) | –0.993 | .32 | –0.042 (0.021) | –1.997 | .05 | ||
| Age | –0.009 (0.002) | –4.978 | <.001 | –0.015 (0.002) | –7.856 | <.001 | ||
| Gender (women) | 0.199 (0.061) | 3.239 | .001 | 0.259 (0.058) | 4.439 | <.001 | ||
aMF: media factor.