Table 3.
Regression models predicting sedentary behaviors – Adolescent report
| Model | Variables Constant | B | SE | β | F | R2 |
|---|---|---|---|---|---|---|
| TV Viewing | Constant | 1.84 | 0.14 | 5.45*** | 0.21 | |
| TV rules | −0.18 | 0.07 | −0.22** | |||
| Rules Agreement | −0.07 | 0.19 | −0.03 | |||
| TV in bedroom | 0.58 | 0.20 | 0.24** | |||
| Gender (male) | −0.08 | 0.19 | −0.03 | |||
| Ethnicity (white) | −0.40 | 0.23 | −0.16 | |||
| Age | 0.05 | 0.06 | 0.06 | |||
| Income (>50k) | −0.02 | 0.20 | 0.00 | |||
| Site (Ref=San Diego) | ||||||
| Boston | 0.42 | 0.30 | 0.13 | |||
| Cincinnati | 0.15 | 0.21 | 0.06 | |||
| Video Games | Constant | 1.08 | 0.13 | 6.95*** | 0.27 | |
| Total Rules | −0.10 | 0.04 | −0.18* | |||
| Rules Agreement | −0.20 | 0.17 | −0.09 | |||
| Game in bedroom | 0.48 | 0.19 | 0.19* | |||
| Gender (male) | 0.90 | 0.17 | 0.40*** | |||
| Ethnicity (white) | −0.04 | 0.20 | −0.02 | |||
| Age | −0.16 | 0.05 | −0.23** | |||
| Income (>50k) | −0.42 | 0.18 | −0.18* | |||
| Site (Ref=San Diego) | ||||||
| Boston | 0.36 | 0.26 | 0.12 | |||
| Cincinnati | −0.08 | 0.19 | 0.03 | |||
| Computer Use | Constant | 1.23 | 0.17 | 1.18 | 0.02 | |
| Computer rules | −0.23 | 0.12 | −0.18* | |||
| Rules Agreement | 0.28 | 0.24 | 0.10 | |||
| Desktop computer in bedroom | 0.07 | 0.20 | 0.03 | |||
| Gender (male) | 0.23 | 0.19 | 0.11 | |||
| Ethnicity (white) | −0.05 | 0.23 | −0.02 | |||
| Age | 0.05 | 0.06 | 0.07 | |||
| Income (>50k) | 0.16 | 0.20 | 0.07 | |||
| Site (Ref=San Diego) | ||||||
| Boston | 0.29 | 0.30 | 0.10 | |||
| Cincinnati | −0.10 | 0.21 | −0.04 | |||
Note.
= p < .05,
= p < .01,
= p < .001.
Items in bedroom (TV, Game, Computer): 0 = not present, 1 = present.