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. 2017 May 1;20(5):296–304. doi: 10.1089/cyber.2016.0669

Table 4.

Predicting Adolescents' Internet Addiction (N = 135)

    95% CI for b      
Predictor B Lower Upper β R sr2
Video gaming 0.33 −0.18 0.84 0.12 0.19 0.01
Social networking −0.12 −0.66 0.43 −0.04 0.17 0.00
Web browsing −0.11 −0.78 0.57 −0.03 0.20 0.00
Video streaming 0.46 −0.19 1.10 0.13 0.29 0.02
Shopping −0.14 −0.77 0.50 −0.04 0.03 0.00
Sexual activity 0.48 −0.10 1.05 0.15 0.14 0.02
Gambling −0.53 −1.52 0.45 −0.10 −0.03 0.01
Email 0.35 −0.31 1.02 0.10 0.22 0.01
Discussion forums 0.76 0.15 1.37 0.22 0.26 0.05
Instant messaging 0.17 −0.32 0.65 0.06 0.22 0.00
Depression −0.05 −0.23 0.14 −0.07 0.27 0.00
Anxiety 0.20 −0.05 0.46 0.25 0.30 0.02
Stress −0.13 −0.37 0.12 −0.16 0.30 0.01
Rumination 1.48 0.20 2.75 0.26 0.38 0.04
Acting out 0.41 −1.12 1.94 0.06 0.23 0.00
Self-care −1.61 −2.76 −0.45 −0.27 −0.28 0.06
Seeking social support −0.35 −1.48 0.78 −0.06 −0.05 0.00
Stoicism 0.70 −0.65 2.06 0.10 0.06 0.01
Age −0.33 −0.95 0.29 −0.09 −0.11 0.01
Sex 1.25 −0.42 2.93 0.15 0.14 0.02

Fit for model R2 = 0.40, Adjusted R2 = 0.29, F(20, 114) = 3.77, p < 0.001. The squared semi-partial (sr2) correlation given is the squared Part correlation from SPSS. The r given is for the zero-order correlation from SPSS. Sex: 1 = Male, 2 = Female. Bold = where CI did not include a zero.