Table 4.
Model 1: Linear regression taking depression (PHQ-9 score) as the dependent variable. | |||||
Variable | UB | SB | p | 95% Confidence Interval | |
Age | -0.09 | −0.26 | < 0.001 | − 0.12 | − 0.05 |
Bruxism at night (yes vs no*) | 2.29 | 0.20 | < 0.001 | 1.13 | 3.44 |
Working hours per day | 0.21 | 0.13 | 0.009 | 0.05 | 0.37 |
Presence vs absence* of TMD | 0.92 | 0.08 | 0.137 | −0.29 | 2.12 |
Model 2: Linear regression taking anxiety (GAD-7 score) as the dependent variable. | |||||
Variable | UB | SB | p | 95% Confidence Interval | |
Hours on phone per day | 0.18 | 0.18 | < 0.001 | 0.08 | 0.28 |
Presence vs absence* of TMD | 1.39 | 0.14 | 0.006 | 0.40 | 2.39 |
Model 3: Linear regression taking stress (BDS22 score) as the dependent variable. | |||||
Variable | UB | SB | p | 95% Confidence Interval | |
Hours on phone per day | 0.43 | 0.18 | < 0.001 | 0.20 | 0.67 |
Age | −0.12 | −0.17 | 0.001 | −0.18 | −0.05 |
Presence vs absence* of TMD | 3.48 | 0.15 | 0.003 | 1.22 | 5.74 |
*Reference group; UB Unstandardized Beta, SB Standardized Beta