Skip to main content
. 2018 Dec 7;15(12):2774. doi: 10.3390/ijerph15122774

Table 2.

Exploring Potential Moderating Effects on GD Symptoms and Probable GD Models.

Models GD Symptoms Probable GD
Moderating Effect Terms b [95% CI] a Interaction Effect OR [95% CI] a Interaction Effect
1. Depression symptoms × purpose 0.04 [−0.04, 0.07] R2Change = 0.02, F (1,162) = 3.65, p = 0.06 1.08 [0.89, 1.17] χ2(1) = 3.30, p = 0.07
2. Depression symptoms × resilience −0.01 [−0.11, 0.03] R2Change = 0.001, F (1,162) = 0.18, p = 0.68 0.98 [0.86, 1.06] χ2(1) = 0.13, p = 0.72
3. Anxiety symptoms × purpose 0.03 [−0.07, 0.07] R2Change = 0.01, F (1,162) = 1.92, p = 0.17 1.06 [0.84, 1.17] χ2(1) = 1.86, p = 0.17
4. Anxiety symptoms × resilience −0.08 [−0.16, −0.004] R2Change = 0.035, F (1,162) = 6.29, p = 0.01 0.89 [0.79, 0.94] χ2(1) = 4.30, p = 0.04
5. IGD symptoms × purpose −0.01 [−0.72, 0.27] R2Change < 0.001, F (1,98) = 0.01, p = 0.92 1.29 [0.26, 2.27] χ2(1) = 1.06, p = 0.30
6. IGD symptoms × resilience −0.10 [−0.73, 0.16] R2Change = 0.004, F (1,98) = 0.44, p = 0.51 1.17 [0.38, 2.44] χ2(1) = 0.38, p = 0.54

Note. GD—Gambling disorder, IGD—Internet Gaming Disorder. In each model, gender and age were controlled for as covariates, either GD symptoms or probable GD were tested as the dependent variable. All the focal predictive variables were mean-centered continuous variables. a Bootstrapping results were based on 5000 bootstrap samples. Biased-Corrected and accelerated (BCa) bootstrap 95% confidence intervals (CI) were reported.