Table 2.
Associations between screen time and MDDI total score by gender among participants from the Canadian Study of Adolescent Health Behaviors (N = 2538)
| Women n = 1477 |
Men n = 1061 |
|||||
|---|---|---|---|---|---|---|
| na | b (95% CI)b | p | na | b (95% CI)b | p | |
| Watch TV | 1181 | 0.24 (0.01, 0.48) | 0.040 | 870 | 0.02 (− 0.26, 0.30) | 0.880 |
| Watch videos | 1170 | 0.35 (0.06, 0.64) | 0.018 | 855 | 0.32 (− 0.05, 0.68) | 0.088 |
| Video games | 1181 | 0.17 (− 0.26, 0.59) | 0.444 | 867 | − 0.28 (− 0.70, 0.14) | 0.196 |
| Social media | 1182 | 0.20 (− 0.03, 0.43) | 0.087 | 868 | 0.99 (0.67, 1.31) | < 0.001 |
| Texting | 1181 | 0.26 (0.04, 0.47) | 0.019 | 869 | 0.66 (0.36, 0.95) | < 0.001 |
| Video chat | 1181 | 0.42 (0.03, 0.81) | 0.035 | 866 | − 0.06 (− 0.52, 0.40) | 0.807 |
| Total screen time | 1153 | 0.18 (0.14, 0.22) | < 0.001 | 840 | 0.22 (0.17, 0.27) | < 0.001 |
Each cell represented the abbreviated outputs of 14 linear regression models with screen time and social media as the independent variables and MDDI total score as the dependent variable. Values in bold are significant with p < 0.05
MDDI, muscle dysmorphic disorder inventory; CI, confidence interval
aNumber of observations for each individual linear regression model
bAnalyses adjusted for body mass index, race/ethnicity, sexual identity, and highest level of education completed