Table 3. Multinomial logistic regression taking the nomophobia categories as the dependent variable.
p | aOR | 95% Confidence Interval | ||
---|---|---|---|---|
Lower bound | Upper bound | |||
Model 1: Mild nomophobia vs absence of nomophobia* | ||||
Age | 0.033 | 0.97 | 0.94 | 0.99 |
Model 2: Moderate nomophobia vs absence of nomophobia* | ||||
Age | <0.001 | 0.93 | 0.91 | 0.96 |
Model 3: Severe nomophobia vs absence of nomophobia* | ||||
Age | <0.001 | 0.94 | 0.91 | 0.97 |
Anxiety | 0.023 | 1.09 | 1.01 | 1.17 |
Insomnia | 0.048 | 1.04 | 1.01 | 1.08 |
*Reference group; Pseudo R-square Nagelkerke = 11.6%; Goodness of fit Pearson value = 4661.67 (p<0.001).