Internet Addiction and COVID-19 Misbeliefs Among Hungarian Online Gamers: A Cross-Sectional Study

Annamaria Nemes1 Department of Neurology, Szent-Györgyi Albert Medical School, University of Szeged, Szeged, 6720, HungaryView further author information

Delia Szok1 Department of Neurology, Szent-Györgyi Albert Medical School, University of Szeged, Szeged, 6720, HungaryView further author information

Antal Tibold2 Centre for Occupational Medicine, Medical School, University of Pécs, Pécs, 7627, HungaryView further author information

Gabor Kosa2 Centre for Occupational Medicine, Medical School, University of Pécs, Pécs, 7627, HungaryView further author information

Krisztian Kapus2 Centre for Occupational Medicine, Medical School, University of Pécs, Pécs, 7627, HungaryView further author information

Gyula Berke3 Faculty of Law and Political Sciences, ELKH-PTE-NKE Research Group on Comparative and European Employment Policy and Labour Law, University of Pécs, Pécs, 7627, HungaryView further author information

Zoltan Banko3 Faculty of Law and Political Sciences, ELKH-PTE-NKE Research Group on Comparative and European Employment Policy and Labour Law, University of Pécs, Pécs, 7627, HungaryView further author information

Gergely Feher2 Centre for Occupational Medicine, Medical School, University of Pécs, Pécs, 7627, HungaryCorrespondence[email protected]
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Internet Addiction and COVID-19 Misbeliefs Among Hungarian Online Gamers: A Cross-Sectional Study

Table 1 The Distribution of COVID-19-Related Misconceptions in the Study Sample

Table 2 Predictors of COVID-19-Related Misconceptions in a Linear Regression Model (R² = 0.006, F(1, 1668) = 4.59, p = 0.03)(*p < 0.05)

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Internet Addiction and COVID-19 Misbeliefs Among Hungarian Online Gamers: A Cross-Sectional Study

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Table 1 The Distribution of COVID-19-Related Misconceptions in the Study Sample

Table 2 Predictors of COVID-19-Related Misconceptions in a Linear Regression Model (R2 = 0.006, F(1, 1668) = 4.59, p = 0.03)(*p < 0.05)

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Table 2 Predictors of COVID-19-Related Misconceptions in a Linear Regression Model (R² = 0.006, F(1, 1668) = 4.59, p = 0.03)(*p < 0.05)