Table 4.
Stepwise multiple linear regression models examining associations with minutes in MVPA
| Model #1 | Model #2 | |||||||
|---|---|---|---|---|---|---|---|---|
| B | Std. Error | p | R 2 | B | Std. Error | p | R 2 | |
| 1 Agea | 38.6 | 6.1 | <0.001 | 0.19 | 38.6 | 6.1 | <0.001 | 0.19 |
| 2 Agea | 40.7 | 5.9 | <0.001 | 0.23 | 40.4 | 5.9 | <0.001 | 0.23 |
| Recruitment Locationb | 16.5 | 5.3 | 0.002 | -- | -- | -- | ||
| Raceb | -- | -- | -- | 17.2 | 5.6 | 0.002 | ||
| 3 Agea | 39.2 | 5.8 | <0.001 | 0.27 | 39.0 | 5.9 | <0.001 | 0.26 |
| Recruitment Locationb | 18.4 | 5.2 | 0.001 | -- | -- | -- | ||
| Raceb | -- | -- | -- | 17.8 | 5.5 | 0.001 | ||
| Maternal PA (min/day in MVPA) | 0.41 | 0.1 | 0.004 | 0.36 | 0.14 | 0.011 | ||
| 4 Agea | 38.2 | 5.8 | <0.001 | 0.29 | 38.0 | 5.5 | <0.001 | 0.28 |
| Recruitment Locationb | 19.6 | 5.2 | <0.001 | -- | -- | -- | ||
| Raceb | -- | -- | -- | 18.5 | 5.5 | 0.001 | ||
| Maternal PA (min/day in MVPA) | 0.44 | 0.1 | 0.002 | 0.39 | 0.14 | 0.006 | ||
| Genderc | −11.2 | 5.2 | 0.032 | −10.3 | 5.2 | 0.048 | ||
a0 = <24 months, 1= > 24 months
b0 = urban, 1 = suburban; 0 = black, 1 = other
c0 = male, 1 = female