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. 2021 Jun 8;18(12):6212. doi: 10.3390/ijerph18126212

Table 3.

Results from multiple regression analyses predicting self-reported loneliness and social well-being by smartphone communication app total use time (average of past seven days) of 359 German adults.

Predictors Loneliness (M1) Social Well-Being (M2)
B (SE) β p B (SE) β p
Intercept 7.19 (0.64) <0.001 59.99 (5.49) <0.001
Total use time 0.21 (0.16) 0.07 0.18 0.19 (0.96) 0.01 0.84
Age 0.23 (0.88) 0.07 0.80 −19.24 (6.76) −0.88 0.005
Age2 −0.60 (0.88) −0.19 0.49 21.11 (6.57) 0.96 0.001
Sex
 Male vs. female −0.02 (0.33) <−0.01 0.95 −3.46 (2.33) −0.07 0.14
Mental disorder
 No vs. yes 0.93 (0.32) 0.15 0.005 −9.29 (2.34) −0.21 <0.001
Chronic disease
 No vs. yes 1.03 (0.32) 0.17 0.001 −5.35 (2.40) −0.12 0.02
COVID-19 infection
 No vs. yes −1.40 (1.16) −0.06 0.22 21.42 (7.10) 0.13 0.003
Education
 Low vs. moderate 0.41 (0.62) 0.06 0.52 9.47 (5.18) 0.18 0.06
 Low vs. high 0.05 (0.58) 0.01 0.93 10.02 (4.91) 0.22 0.04
Partnership status
 No vs. yes 0.95 (0.34) 0.15 0.005 −10.99 (2.26) −0.25 <0.001
Age × total use time 1.80 (1.07) 0.54 0.09 −15.79 (7.52) −0.66 0.04
Age2 × total use time −1.98 (1.11) −0.58 0.07 17.41 (7.51) 0.71 0.02
R 2 0.09 0.16

Notes. B = unstandardized beta coefficient, β = standardized beta coefficient, SE = standard error; significant results at p < 0.05 are highlighted in bold.