Table 4.
Models | Variables | UCLA-Loneliness | GDS | GAI | Frailty Phenotype Index | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
β | 95% CI | P-value | OR | 95% CI | P-value | OR | 95% CI | P-value | OR | 95% CI | P-value | ||||||
Model 1 | |||||||||||||||||
COVID-19 occurrence | −0.33 | −0.39 | −0.26 | <.001 | 4.61 | 3.77 | 5.63 | <.001 | 1.85 | 1.52 | 2.24 | <.001 | 1.42 | 1.17 | 1.72 | <.001 | |
Model 2 | |||||||||||||||||
COVID-19 occurrence | −0.33 | −0.39 | −0.26 | <.001 | 4.61 | 3.78 | 5.64 | <.001 | 1.85 | 1.52 | 2.24 | <.001 | 1.42 | 1.17 | 1.72 | <.001 | |
Agea | −0.07 | −0.13 | −0.01 | .01 | 1.07 | 0.89 | 1.29 | .41 | 0.93 | 0.78 | 1.10 | .42 | 1.06 | 0.89 | 1.27 | .47 | |
COVID-19 occurrence × age | .05 | −0.01 | 0.12 | .09 | 0.97 | 0.79 | 1.19 | .83 | 1.10 | 0.90 | 1.33 | .32 | 0.88 | 0.73 | 1.08 | .24 | |
Model 3 | |||||||||||||||||
COVID-19 occurrenceb | −0.20 | −0.32 | −0.07 | .001 | 5.54 | 4.03 | 7.61 | <.001 | 2.25 | 1.66 | 3.05 | <.001 | 1.36 | 1.00 | 1.85 | .04 | |
Gender | .14 | 0.01 | 0.26 | .02 | 0.96 | 0.67 | 1.39 | .85 | 1.37 | 0.96 | 1.96 | .07 | 0.98 | 0.68 | 1.40 | .92 | |
COVID-19 occurrence × gender | −0.21 | −0.36 | −0.07 | .002** | 0.74 | 0.49 | 1.11 | .15 | 0.71 | 0.48 | 1.06 | .09 | 1.07 | 0.72 | 1.59 | .72 | |
Model 4 | |||||||||||||||||
COVID-19 occurrence | −0.29 | −0.39 | −0.19 | <.001 | 3.64 | 2.67 | 4.97 | <.001 | 1.94 | 1.43 | 2.63 | <.001 | 1.46 | 1.07 | 1.98 | .01 | |
Education | .09 | −0.01 | 0.21 | .10 | 0.77 | 0.53 | 1.11 | .17 | 0.97 | 0.68 | 1.38 | .88 | 1.06 | 0.74 | 1.52 | .72 | |
COVID-19 occurrence × education | −0.06 | −0.19 | 0.06 | .32 | 1.48 | 0.99 | 2.23 | .05** | 0.92 | 0.62 | 1.36 | .68 | 0.95 | 0.64 | 1.41 | .80 | |
Model 5 | |||||||||||||||||
COVID-19 occurrence | −0.44 | −0.68 | −0.19 | <.001 | 4.47 | 2.45 | 8.13 | <.001 | 1.09 | 0.60 | 1.98 | .76 | 0.92 | 0.49 | 1.71 | .79 | |
Comorbidities | −0.11 | −0.34 | 0.12 | .34 | 0.86 | 0.49 | 1.52 | .62 | 0.56 | 0.31 | 1.00 | .05 | 0.56 | 0.30 | 1.02 | .05 | |
COVID-19 occurrence × comorbidities | .12 | −0.13 | 0.37 | .35 | 1.03 | 0.54 | 1.95 | .91 | 1.79 | 0.95 | 3.36 | .06** | 1.62 | 0.84 | 3.13 | .14 | |
Model 6 | |||||||||||||||||
COVID-19 occurrence | −0.34 | −0.41 | −0.26 | <.001 | 4.46 | 3.54 | 5.62 | <.001 | 2.05 | 1.64 | 2.56 | <.001 | 1.36 | 1.08 | 1.70 | .007 | |
Living alone | −0.01 | −0.14 | 0.11 | .80 | 0.87 | 0.57 | 1.31 | .51 | 1.36 | 0.91 | 2.03 | .13 | 0.89 | 0.59 | 1.34 | .59 | |
COVID-19 occurrence × living alone | .02 | −0.12 | 0.17 | .73 | 1.13 | 0.71 | 1.80 | .58 | 0.66 | 0.42 | 1.03 | .06** | 1.18 | 0.76 | 1.85 | .45 |
Abbreviation: IQR, interquartile range.
Age was z-scored, and COVID-19 occurrence is a binary variable. COVID-19 occurrence is coded as before (0) or during (1) COVID-19 occurrence. Variables in mixed model, including gender, education, comorbidities, and living alone, were binary variables. Coefficients for these variables in linear mixed model, that is, for loneliness outcomes, can be interpreted mean group differences. For example, gender = 0.14 shows when COVID-19 accounting.
For COVID-19 occurrence, on average, females scored 0.14 higher than male. Since loneliness outcome standardized (M = 0, SD = 1), the interpretation of regression coefficients for binary variables are like a standardized mean difference.
Sig. ≤ .01.