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. Author manuscript; available in PMC: 2023 Jan 9.
Published in final edited form as: Addiction. 2021 Oct 24;117(3):784–795. doi: 10.1111/add.15709

Table 2. Multivariate logistic regression, problematic SMU (n = 222 532 in 44 countries).

Pooled sample Analyses by country
B SE OR Countries positive Min. ORa Max. ORa Countries negative Min. ORb Max. ORb
Survey mode (ref. = paper-and-pencil self-completion)c
  Digital self-completion −0.026 0.024 0.974 0 0
Gender (ref. = boy)
   Girl 0.189*** 0.019 1.208 19 1.326 1.853 4 0.475 0.779
Age (ref. = 11-year-old)
   13-year-old 0.394*** 0.028 1.484 27 1.395 3.225 1 0.215 0.215
   15-year-old 0.477*** 0.029 1.612 28 1.470 3.238 1 0.341 0.341
Socio-economic status (ref. = low)
   Middle −0.100*** 0.023 0.905 1 2.939 2.939 4 0.576 0.683
   High −0.023 0.028 0.977 1 1.547 1.547 5 0.503 0.682

SMU = social media use; B = logit coefficient; SE = standard error; OR = odds ratio; ref. = reference category;

***

P < 0.001; problematic SMU was defined as reporting six to nine problematic SMU criteria.

a

Minimum/maximum value of the OR across countries where a positive association was found (P < 0.05);

b

minimum/maximum value of the OR across countries where a negative association was found (P < 0.05);

c

the association between survey mode and problematic SMU was estimated across eight of 44 countries (n = 43 802), because there were only eight countries where both survey modes were employed.