Table 8.
Parameters of regression models (95% CI) for the ZINB models for the EQ-5D, OHIP-14 and PHQ-9
| Independent variables | EQ-5D | OHIP-14 | PHQ-9 | |||
|---|---|---|---|---|---|---|
| e1: Y > 0 |
e2: Y = 0 |
e1: Y > 0 |
e2: Y = 0 |
e1: Y > 0 |
e2: Y = 0 |
|
| Gender | - | - |
0.271 (0.015; 0,527) P = 0.038 |
- | - | - |
| Age | - |
-0.365 (-0.611; 0.119) P = 0.004 |
-0.025 (-0.042; 0.008) P = 0.003 |
- | - | - |
| Living condition |
0.133 (0.001; 0.267) P = 0.049 |
- | - | - | - |
0.501 (0.125; 0.877) P = 0.009 |
| Income |
-0.348 (-0.466; 0.230) P < 0.001 |
- | - | - |
-0.225 (-0.349; -0.101) P < 0.001 |
- |
| Diabetes |
0.437 (0.250; 0.624) P < 0.001 |
- | - | - | - | - |
| Myocardial infarction |
0.454 (0.151; 0.757) P = 0.003 |
- | - | - | - | - |
| Stroke |
0.543 (0.094; 0.992) P = 0.018 |
- | - | - | - | - |
| Asthma | - | - | - |
-0.988 (-1.833; -0.093) P = 0.030 |
- | - |
| Gastroesophageal reflux disease | - | - | - |
-0.765 (-1.469; -0.061) P = 0.033 |
0.797 (0.115; 1.479) P = 0.014 |
- |
| Kidney diseases |
0.466 (0.206; 0.726) P < 0.001 |
- | - | - | - | - |
| Number of comorbidities | - | - | - | - | - |
-0.656 (-0.877; -0.435) P < 0.001 |
| Number of missing teeth | - | - |
0.053 (0,039; 0,067) P < 0.001 |
- | - | - |
| Oral treatment need | - | - |
0.278 (0.104; 0.452) P = 0.002 |
- | - | - |
e1—parameters of the Eq. 1 to estimate the number of patients with scores greater than zero, e2—parameters of Eq. 2 to estimate the number of patients with scores equal to zero, the parentheses indicate by how much the dependent variable will change with the unit increase of the independent variable, as far as other independent variables will not change