Table 2.
Multivariate linear regression analyses of the association between screen time and dietary intake stratified by 85th BMI percentile.
| All individuals (n = 521) |
< 85th BMI percentile (n = 312) |
≥ 85th BMI percentile (n = 209) |
||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| β1 | SE1 | β2 | SE2 | β1 | SE1 | β2 | SE2 | β1 | SE1 | β2 | SE2 | |||
| Nutrients | ||||||||||||||
| Energy (kcal) | 82⁎⁎ | 32 | 74⁎ | 35 | 71 | 45 | 22 | 45 | 95 | 53 | 136⁎ | 58 | ||
| Total fat (g/1000 kcal) | 0.4 | 0.4 | 0.5 | 0.5 | − 0.2 | 0.6 | − 0.1 | 0.7 | 1.2 | 0.7 | 1.3 | 0.7 | ||
| Total added sugars (g/1000 kcal) | 1.0 | 0.9 | 1.0 | 1.1 | 1.3 | 1.3 | 1.2 | 1.4 | 1.2 | 1.4 | 0.9 | 1.6 | ||
| Fiber (g/1000 kcal) | − 0.7⁎⁎⁎ | 0.2 | − 0.6⁎⁎⁎ | 0.2 | − 0.5⁎⁎ | 0.2 | − 0.4 | 0.2 | − 1.1⁎⁎⁎ | 0.3 | − 1.1⁎⁎⁎ | 0.3 | ||
| Sodium (g/1000 kcal) | 62⁎ | 27 | 40 | 30 | 23 | 35 | 29 | 39 | 75 | 43 | 55 | 50 | ||
| Food groups | ||||||||||||||
| Sugar-sweetened beverages (mL/1000 kcal) | 8.0 | 7.4 | 1.0 | 8.3 | 7.8 | 9.6 | 2.8 | 10.6 | 7.1 | 12.2 | 0.1 | 14 | ||
| Hamburger/hot dog/pizza (g/1000 kcal) | 2.7 | 2.3 | 3.1 | 2.4 | 0.2 | 3.1 | 2.7 | 3.2 | 6.5 | 3.8 | 4.1 | 4.2 | ||
| Vegetables & fruit (serving/1000 kcal) | − 0.3⁎ | 0.1 | − 0.3⁎ | 0.1 | − 0.3⁎ | 0.1 | − 0.3⁎ | 0.1 | − 0.3⁎ | 0.2 | − 0.2⁎ | 0.2 | ||
| Dairy products (serving/1000 kcal) | − 0.1 | 0.1 | − 0.1 | 0.1 | − 0.1 | 0.1 | − 0.1 | 0.1 | − 0.1 | 0.1 | 0.01 | 0.01 | ||
| HEI-Ca (score) | − 1.2⁎ | 0.8 | − 1.6⁎ | 0.8 | − 0.8 | 1.0 | − 1.7 | 1.1 | − 2.2⁎ | 1.2 | − 1.6 | 1.3 | ||
β1: in comparison to the screen time group (< 2 h/d), unadjusted.
β2: in comparison to the screen time group (< 2 h/d), adjusted for covariates including age, sex, physical activity, mothers' BMI, household income, and parents' education (holding a university degree).
SE: standard error for beta coefficient.
a
HEI-C = Canadian Healthy Eating Index.
⁎
P < 0.05.
⁎⁎
P < 0.01.
⁎⁎⁎
P < 0.001.