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. 2023 Jul 24;6(7):e2324389. doi: 10.1001/jamanetworkopen.2023.24389

Table 2. Logistic Regression for Social Media Variables and Mental Health Outcomesa.

Social media variables Outcomes
Depression Emotional problems Conduct problems Body image
B (95% CI) SE P value B (95% CI) SE P value B (95% CI) SE P value B (95% CI) SE P value
Age at first smart phone −0.09 (−0.42 to 0.25) 0.17 .61 0.01 (− 0.31 to −0.33) 0.16 .97 −0.25 (−0.63 to −0.12) 0.19 .19 0.17 (−0.16 to −0.51) 0.17 .30
Gender identity 1.06 (−.90 to 3.02) 1.00 .29 −1.36 (−3.25 to −0.52) 0.96 .16 −1.61 (−3.87 to −0.64) 1.15 .16 −0.72 (−2.88 to −1.33) 0.26 .47
Social media time 0.02 (−0.07 to 0.11) 0.05 .69 −.03 (−0.13 to −0.05) 0.05 .40 −0.01 (−0.12 to −0.09) 0.05 .80 0.01 (−0.08 to −0.09) 0.04 .84
Active use −0.04 (−0.25 to 0.19) 0.11 .78 −0.18 (−0.40 to −0.04) 0.11 .10 0.05 (−0.20 to −0.31) 0.13 .68 0.46 (0.24 to −0.68) 0.11 <.001
Passive use 0.10 (−0.06 to 0.27) 0.08 .21 0.07 (−0.09 to −0.22) 0.08 .38 0.04 (−0.15 to −0.24) 0.10 .65 −0.08 (−0.24 to −0.08) 0.08 .32
Social comparisons 0.52 (0.31 to 0.73) 0.11 .001 0.48 (0.29 to −0.68) 0.10 <.001 0.54 (0.31 to −0.76) 0.11 <.001 −0.48 (−0.67 to −0.28) 0.10 <.001
Intentional breaks −0.11 (−0.11 to 0.08) 0.08 .16 −0.15 (−0.30 to −0.01) 0.08 .049 −0.12 (−0.29 to −0.05) 0.09 .16 0.13 (−0.02 to −0.27) 0.13 .09
School digital literacy −0.19 (−0.19 to 0.08) 0.08 .02 −0.10 (−0.24 to −0.04) 0.07 .17 0.01 (−0.16 to −0.18) 0.09 .91 0.29 (0.15 to −0.44) 0.07 <.001
Clean/curate feed 0.48 (0.33 to 0.64) 0.08 <.001 0.31 (0.17 to −0.45) 0.07 <.001 0.29 (0.12 to −0.44) 0.08 <.001 −0.08 (−0.22 to −0.05) 0.07 .23
Mindful media −0.04 (−0.15 to 0.07) 0.06 .47 −0.05 (−0.17 to 0.05) 0.06 .31 −0.04 (−0.17 to −0.08) 0.06 .51 0.01 (−0.10 to −0.12) 0.06 .90
Problematic social media use 1.02 (0.66 to 1.38) 0.18 <.001 0.41 (0.10 to −0.72) 0.16 .009 0.49 (0.10 to −0.87) 0.19 .01 −0.06 (−0.36 to −0.24) 0.15 .69
a

Only logistic regression main effect sizes are shown in the table for parsimony. B refers to the unstandardized coefficient (point estimate).