Table 1.
Four-factor promax-rotated factor solution for COVID-19 anxiety (n = 481).
| Pandemic-specific anxiety itemPers | Factor | |||
|---|---|---|---|---|
| Personal health | Others' reactions | Societal health | Economic problems | |
| Health of elderly people in my community | 0.72 | |||
| Health of children in my community | 0.72 | |||
| COVID-19 infection in my friends/social network members | 0.71 | |||
| COVID-19 infection in myself and my family members | 0.69 | |||
| Contact with a COVID-19 carrier | 0.57 | 0.50 | ||
| Discrimination | 0.80 | |||
| Quarantine stigma | 0.74 | |||
| Stockpiling of basic groceries | 0.68 | |||
| Stockpiling of personal protection equipment | 0.53 | |||
| Government's lack of effort/ability to handle the pandemic | 0.81 | |||
| Breakdown of local healthcare system | 0.67 | |||
| No effective treatment for COVID-19 | 0.63 | |||
| Progress of my work | 0.50 | |||
| Pandemic's economic implications (e.g., recession, stock market crash) | 0.78 | |||
| Widening of health-wealth gap in society | 0.73 | |||
| My financial situation | 0.64 | |||
| Eigenvalues | 6.15 | 1.58 | 1.22 | 1.15 |
| % of variance | 38.41 | 9.87 | 7.60 | 7.22 |
| Cronbach's alpha | 0.83 | 0.76 | 0.72 | 0.71 |
Extraction method is principal component analysis with varimax rotation with Kaiser normalization. Factor loadings below the 0.45 threshold were omitted from the table. The item with double loading (in italics) was removed from the statistical analyses.