Figures
3.1 The assessment of public mood in Poland in 1999–2022 56
3.2 The percentage of Poles indicating that there is a fear of what the future will bring, the uncertainty of tomorrow in society 57
4.1 Number of migrant arrivals via the Mediterranean Sea to Europe by month in 2014 and 2015 68
7.1 Scree plot showing the eigenvalues for the scale questions 129
11.1 Online activities by older persons in 2022 in the EU-27, by age group (%) 199
11.2 Digital health sectors 201
11.3 Functionality and usefulness of e-Health applications among elders in Lubelskie (%) 205
11.4 Functionality and usefulness of e-Health applications among elders in Dolnośląskie (%) 205
12.1 Age groups of survey 219
12.2 Gender of survey respondents 220
12.3 Frequency of watching news from the frontline by respondents 225
Tables
3.1 Generalized and institutional trust in ESS (rounds 9 and 10) 46
3.2 Countries with positive effects of the pandemic on generalized and institutional trust 47
3.3 Countries with negative effects of the pandemic on generalized and institutional trust 49
3.4 Countries with mixed effects of the pandemic on generalized and institutional trust 51
3.5 Correlations between institutional trust and political, economic and cultural factors 55
7.1 Quantitative and percentage distribution of declarations of specific aid to Ukrainians 121
7.2 Regression coefficients in Model 1 (Donate money to help Ukrainians) 123
7.3 Regression coefficients in Model 2 (Donate clothing, food or other items for Ukrainians) 123
7.4 Regression coefficients in Model 3 (Volunteer my time to help Ukrainians) 124
7.5 Regression coefficients in Model 4 (Host a Ukrainian refugee or family in my home) 124
7.6 Regression coefficients in Model 5 (Refuse to buy or use products produced in Russia) 125
7.7 Regression coefficients in Model 6 (Boycott non-Russian companies that are still doing business in Russia) 126
7.8 Eigenvalues and percentages of explained variance of the initial solution using the principal component method 129
7.9 Model matrix containing factor loadings for two factors using the principal axes method with Direct Oblimin rotation 130
10.1 Comparison of people’s lives before and during the pandemic—identification of factors affecting FOMO 176
10.2 FOMO and the age of Polish Internet users in 2018, 2019, 2021, 2022 (%) 177
10.3 FOMO scale according to Przybylski et al. in Poland in the years 2018–2022 179
10.4 FOMO vs. the scale of information overload in 2021 and 2022. Sum of responses for “somewhat agree” and “completely agree” 182
11.1 Knowledge of information and communication technologies 203
12.1 Places of residence of the survey respondents at the beginning of the war (2014), the full-scale invasion (February 2022) and as of August 2023 221
12.2 Changes in the life of Ukrainians following the war with russia 223