Table 2.
Linear regression predicting symptoms of depression (n = 2130).
| Predictors | Symptoms of Depression | |||
|---|---|---|---|---|
| Individual factors | b (SE) | t | p-values | |
| Age | −1.12 (0.68) | −1.64 | 0.10 | |
| Female (ref: male) | 0.02 (0.24) | 0.12 | 0.90 | |
| High school or above (ref: below High school) | −0.58 (0.29) | −1.96 | 0.05 | |
| Non-married (ref: married) | 0.62 (0.45) | 1.37 | 0.17 | |
| Income (ref: ≤ ¥10,000, Chinese currency, CNY ¥) | ||||
| ¥10,001–30,000 | 0.09 (0.39) | 0.23 | 0.81 | |
| ¥30,001–50,000 | 0.21 (0.41) | 0.52 | 0.60 | |
| ¥50,001–100,000 | −0.78 (0.42) | −1.85 | 0.06 | |
| ≥¥100,001 | −0.77 (0.49) | −1.56 | 0.12 | |
| Self-rated general health | 0.04 (0.15) | 0.28 | 0.77 | |
| Practiced social distancing (no) | −1.37 (0.59) | −2.31 | 0.02 | |
| Community factors | ||||
| Non-urban (ref: urban) | 0.76 (0.25) | 3.02 | 0.00 | |
| Lived alone (ref: lived with someone) | 0.48 (0.66) | 0.73 | 0.46 | |
| Environmental factors | ||||
| Amount of time spent daily on social media searching for and reading information on COVID-19 | 0.00 (0.10) | 0.05 | 0.96 | |
| Number of confirmed cases of COVID-19 in their city of residence | 0.21 (0.10) | 2.01 | 0.04 | |
| Confirmed or suspected cases of COVID-19 in personal networks (ref: no) | 1.76 (1.04) | 1.68 | 0.09 | |
| Model statistics | ||||
| F (df) | 5.06 | |||
| Overall significance | <0.00 | |||
| R2 | 0.035 | |||
Significant variables were highlighted in bold.