Table 4.
Results of multiple linear regression analyses for the prediction of selected dependent variables.
| Dependent variable | Predictor variables∗ | Standardized coefficient (beta) | p value | R 2 |
|---|---|---|---|---|
| Perceived body size scores | ||||
| Model 1 | Body mass index | 0.679 | <0.001 | 0.461 |
| Model 2 | Body mass index | 0.587 | <0.001 | 0.514 |
| Weight-loss attempt | 0.248 | <0.001 | ||
|
| ||||
| Discrepancy between perceived and desired body size scores | ||||
| Model 1 | Body mass index | 0.622 | <0.001 | 0.387 |
| Model 2 | Body mass index | 0.511 | <0.001 | 0.465 |
| Weight-loss attempt | 0.301 | <0.001 | ||
|
| ||||
| Desired body size scores | ||||
| Model 1 | Body weight | 0.104 | 0.002 | 0.011 |
| Model 2 | Body weight | 0.136 | <0.001 | 0.019 |
| Weight-loss attempt | −0.095 | 0.007 | ||
∗Variables entered into the prediction equation (step-wise method): age, weight, height, BMI, father education, mother education, family income, weight-loss attempt, number of obese kids in the family, and parents' obesity.