Table 2.

Multiple hierarchical regression for loneliness and social network as predictors of social adaptation.

	Demographic			Loneliness			Social network
	Std. Beta	Standardized CI	p	Std. Beta	Standardized CI	p	Std. Beta	Standardized CI	p
(Intercept)	0.00	− 0.32–0.32	< 0.001*	0.00	− 0.26–0.26	< 0.001*	0.00	− 0.24–0.24	0.002*
Gender	0.13	− 0.19–0.46	0.411	− 0.02	− 0.30–0.26	0.884	− 0.04	− 0.29–0.22	0.783
Age	0.04	− 0.33–0.42	0.818	0.16	− 0.16–0.47	0.325	0.25	− 0.05–0.54	0.099
Years of education	0.09	− 0.33–0.51	0.673	0.12	− 0.23–0.47	0.500	0.26	− 0.07–0.59	0.123
Executive functions	− 0.04	− 0.42–0.33	0.828	0.04	− 0.28–0.35	0.803	− 0.08	− 0.38–0.22	0.596
UCLA				− 0.59	− 0.87 to − 0.31	< 0.001*	− 0.41	− 0.70 to − 0.13	< 0.05*
LSNS							0.43	0.14–0.71	< 0.05*
R2/R2 adjusted	0.025/− 0.075			0.336/0.249			0.466/0.380

Note The table shows standardized coefficients and p-values for each step comprising the hierarchical multiple regression model. The demographic column shows parameter estimates for our control variables (i.e. sociodemographic data and executive functions). The middle column shows the model evaluating the effects of loneliness on social adaptation after controlling for non-interest variables. After controlling for demographic variables, the final column shows the model evaluating the effects of loneliness and social network on social adaptation. Asterisks indicate significant effects. For more details, refer to Supplementary table 4.

UCLA University of California Loneliness Scale, LSNS Lubben Social Network scale.

Significant values are in bold.