Table 4.
Regression Models for Home Food Environments, Dietary Intake and Overweight/Obesity
| Feature of the Home Food Environment | Logistic Regression Model Met Fruit & Vegetable Guidelines (n = 4921) |
Multiple Regression Model for Percent Calories from Fat (n = 4917) | Logistic Regression Model for Overweight/Obesity (n = 4735) | ||||
|---|---|---|---|---|---|---|---|
| OR | (95% CI) | b | SE | p-value | OR | (95% CI) | |
| Fruit & vegetable inventory | 1.09 | (1.08, 1.11) | 0.06 | 0.01 | <.0001 | 0.98 | (0.97, 0.99) |
| Salty snacks/sweets inventory | 1.06 | (1.01, 1.12) | 0.23 | 0.04 | <.0001 | 1.00 | (0.97, 1.04) |
| Less healthy beverages inventory | 0.95 | (0.86, 1.04) | 0.51 | 0.07 | <.0001 | 1.04 | (0.97, 1.12) |
| Food placement | 1.49 | (1.28, 1.74) | −0.37 | 0.11 | 0.0008 | 1.04 | (0.94, 1.15) |
| Meal preparation | 1.48 | (1.25, 1.76) | −0.45 | 0.13 | 0.0006 | 1.02 | (0.90, 1.16) |
| Portion control | 1.04 | (0.91, 1.18) | 0.08 | 0.10 | 0.4024 | 1.03 | (0.94, 1.13) |
| Restaurant food for family meals | 1.73 | (1.54, 1.94) | 2.17 | 0.10 | <.0001 | 0.97 | (0.88, 1.06) |
| Family TV and eating | 0.97 | (0.89, 1.06) | 0.32 | 0.07 | <.0001 | 1.14 | (1.07, 1.21) |
| Grocery shopping for fruit | 1.52 | (1.14, 2.01) | −0.50 | 0.18 | 0.0047 | 0.95 | (0.80, 1.13) |
| Own scale | 1.04 | (0.84, 1.29) | −0.01 | 0.16 | 0.9327 | 0.98 | (0.84, 1.13) |
| TV in dining area | 1.36 | (1.11, 1.67) | 0.29 | 0.15 | 0.0601 | 0.99 | (0.86, 1.14) |
All models controlled for gender, race, age, income and neighborhood rurality/urbanicity