Table 2.
Multiple linear regression models predicting food addiction symptoms.
| R | R2 | Adjusted R2 | F | β | t | p | |
|---|---|---|---|---|---|---|---|
|
| |||||||
| Dependent variable: Food Addiction Symptoms | |||||||
|
| |||||||
| Unadjusted ** | 0.289 | 0.083 | 0.075 | 9.459 | <0.001 | ||
| Temporal Discounting* | 0.176 | 2.599 | 0.010 | ||||
| Recovery Status** | −0.195 | −2.879 | 0.004 | ||||
|
| |||||||
| Adjusted ** | 0.379 | 0.114 | 0.114 | 4.873 | <0.001 | ||
| Temporal Discounting | 0.094 | 1.293 | 0.197 | ||||
| Recovery Status | −0.076 | −0.989 | 0.324 | ||||
| Age** | −0.231 | −2.783 | 0.006 | ||||
| Gender | −0.065 | −0.964 | 0.336 | ||||
| Education* | 0.188 | 2.545 | 0.012 | ||||
| Income | −0.079 | −1.105 | 0.270 | ||||
| Race | 0.041 | 0.562 | 0.575 | ||||
p<0.05
p<0.01