Multiple linear regression analysis: prediction of support for obesity prevention (n = 1000)
| Prediction of prevention support | B | SE | β | t test | p Value | R2 |
|---|---|---|---|---|---|---|
| β, standardised regression coefficient; B, unstandardised regression coefficient; R2, adjusted multiple R2 (cumulative); SE, standard error. | ||||||
| Outcome variable: prevention support composite (1 = disagree completely to 5 = agree completely). | ||||||
| Age, years | 0.01 | 0.00 | 0.15 | 5.02 | <0.001 | 3.3 |
| Gender, female | 0.08 | 0.04 | 0.06 | 2.12 | 0.034 | 4.5 |
| Residence, western part of Germany | –0.19 | 0.05 | –0.12 | –3.92 | <0.001 | 5.4 |
| Problem identification: significance of obesity | 0.12 | 0.03 | 0.15 | 4.82 | <0.001 | 9.4 |
| Causal attributions: food environment | 0.26 | 0.02 | 0.39 | 12.50 | <0.001 | 26.8 |
| Causal attributions: activity behaviour | 0.08 | 0.03 | 0.08 | 2.57 | 0.010 | 27.4 |
| Responsibility for the solution of the obesity problem: societal responsibility | 0.09 | 0.02 | 0.14 | 4.49 | <0.001 | 29.2 |
| Constant | 1.78 | 0.17 | ||||