Table 3. Linear regression models to examine predictors of amount of energy drink consumption.
Variable | (Adjusted R2 = 0.092, F = 3.80 (df = 10), P<0.0001) | |
---|---|---|
β (95% CI) | P value | |
Age (years) | -0.103 (-0.228–0.023) | .108 |
Boys† | 0.165 (0.051–0.278) | .005 |
Melanesian‡ | 0.093(-0.039–0.225) | .168 |
Polynesian‡ | 0.087 (-0.036–0.209) | .164 |
Rural$ | 0.158 (0.012–0.305) | .034 |
Low SES§ | -0.045 (-0.207–0.116) | .582 |
Inter SES§ | -0.011 (-0.159–0.138) | .889 |
Good for health* | 0.172 (0.052–0.292) | .005 |
No effect on health* | 0.0079 (-0.110–0.125) | .901 |
Overweight¥ | 0.013 (-0.100–0.126) | .825 |
Reference is:
† girls
‡ European
$urban
§high SES
*bad for health
¥not overweight