TABLE 3.
Linear regression model on the strength of the associations between weekly energy drink consumption and gender, age, parental monitoring, school achievement, and health literacy, separately by year (Health Behaviour in School-aged Children, Finland, 2014 and 2018).
| 2014 | 2018 | |||||
|---|---|---|---|---|---|---|
| R 2 = 0.28, p value <0.001 (n = 4592) | R 2 = 0.28, p value <0.001 (n = 2170) | |||||
| β | 95% CI | p value | β | 95% CI | p value | |
| Gender | −0.256 a | [−0.302 ‐ −0.211] | <0.001 | −0.145 a | [−0.212 ‐ −0.078] | <0.001 |
| Age | 0.019 b | [−0.032 ‐ 0.071] | 0.47 | 0.108 b | [0.044 ‐ 0.171] | <0.01 |
| Parental monitoring | −0.243 c | [−0.287 ‐ −0.198] | <0.001 | −0.258 c | [−0.321 ‐ −0.196] | <0.001 |
| School achievement | −0.249 d | [−0.291 ‐ −0.207] | <0.001 | −0.286 d | [−0.348 ‐ −0.225] | <0.001 |
| Health literacy | −0.071 e | [−0.110 ‐ −0.033] | <0.001 | −0.111 e | [−0.161 ‐ −0.062] | <0.001 |
a
For girls.
b
For 15-year-olds.
c-e
The greater the value below zero, the higher the level of the selected variable.