Table 4.
Multivariable Regression Models for BMI and Dietary Outcomes
| Predictor Variables | Regression 1: BMI | Regression 2: Fruit and Vegetable Intake (Meeting/not meeting guidelines) | Regression 3: Percent Calories from Fat | ||||||
|---|---|---|---|---|---|---|---|---|---|
| N = 3883 | N = 3883 | N = 3883 | |||||||
| Estimate | 95% CI | OR | 95% CI | Estimate | 95% CI | ||||
| Rurality of Residential Area | |||||||||
| Urban (Reference) | |||||||||
| Rural | 1.31 | 0.61 | 2.02 | 0.70 | 0.50 | 0.99 | 0.09 | −0.39 | 0.57 |
| Small town | 1.03 | 0.38 | 1.69 | 0.57 | 0.40 | 0.80 | −0.11 | −0.55 | 0.34 |
| Suburban | 0.87 | 0.37 | 1.37 | 0.76 | 0.60 | 0.96 | −0.56 | −0.90 | −0.22 |
| Frequency of grocery shopping | |||||||||
| <4 times/month (Reference) | |||||||||
| 4 times/month | −0.79 | −1.29 | −0.28 | 1.19 | 0.92 | 1.54 | −0.24 | −0.58 | 0.10 |
| >4 times/month | −0.82 | −1.32 | −0.32 | 1.58 | 1.23 | 2.02 | 0.14 | −0.20 | 0.48 |
| Distance from home to store (Miles) Store type | −0.01 | −0.04 | 0.02 | 1.02 | 1.00 | 1.03 | 0.02 | 0.00 | 0.04 |
| Large grocery store (ref) | |||||||||
| Smaller grocery store | 0.15 | −0.51 | 0.80 | 0.78 | 0.54 | 1.11 | 0.23 | −0.21 | 0.68 |
| Superstore or supercenter | 0.41 | −0.08 | 0.90 | 1.15 | 0.90 | 1.46 | 0.19 | −0.14 | 0.52 |
| Warehouse club | 0.60 | −0.37 | 1.58 | 1.79 | 1.20 | 2.68 | 0.36 | −0.30 | 1.02 |
| Dollar or convenience store | −2.64 | −4.52 | −0.76 | 3.13 | 1.60 | 6.14 | 3.92 | 2.65 | 5.19 |
| Farmer’s market, co-op or specialty store | −0.98 | −2.30 | 0.35 | 2.27 | 1.37 | 3.75 | −0.18 | −1.08 | 0.71 |
| Fast food frequency in a week | |||||||||
| 0 (Reference) | |||||||||
| 1 | 0.85 | 0.32 | 1.38 | 0.75 | 0.57 | 0.97 | 0.73 | 0.38 | 1.09 |
| ≥2 | 1.33 | 0.80 | 1.85 | 0.95 | 0.74 | 1.22 | 2.15 | 1.80 | 2.50 |
Note: Adjusted for gender, age, race and income