Table 2 Mixed model effects of presence of real-life and online social interactions on well-being.
From: The importance of high quality real-life social interactions during the COVID-19 pandemic
Predictors | Well-being | ||||
|---|---|---|---|---|---|
Estimates | Std. Beta | CI | Standardized CI | p | |
(Intercept) | 4.2018 | − 0.1423 | 3.6486 – 4.7550 | − 0.4438 – 0.1592 | < 0.001 |
Gender | 0.1637 | 0.1686 | − 0.2090 – 0.5363 | − 0.2153 – 0.5524 | 0.389 |
Psychosocial risk factors at birth | − 0.0674 | − 0.1316 | − 0.1655 – 0.0308 | − 0.3233 – 0.0602 | 0.179 |
Time of day | 0.0018 | 0.0085 | − 0.0068 – 0.0105 | − 0.0316 – 0.0486 | 0.678 |
Critical worker status | 0.2256 | 0.2323 | − 0.1531 – 0.6042 | − 0.1576 – 0.6223 | 0.243 |
Presence of real-life social interactions (yes / being alone) | 0.2268 | 0.0838 | 0.1517 – 0.3018 | 0.0561 – 0.1116 | < 0.001 |
Presence of online interactions (yes/ no) | 0.0261 | 0.0131 | − 0.0268 – 0.0789 | − 0.0134 – 0.0396 | 0.333 |
Weeks since lockdown | − 0.0014 | − 0.0023 | − 0.0686 – 0.0657 | − 0.1115 – 0.1069 | 0.967 |
Random effects | |||||
σ2 | 0.4094 | ||||
τ00 Participants | 0.5865 | ||||
τ11 Time of day | 0.0008 | ||||
ICC | 0.57 | ||||
N | 62 | ||||
Observations | 2971 | ||||
Marginal R2/Conditional R2 | 0.037/0.585 | ||||
