Table 7.
Latent factors | Indicators | Factor loadings, λ (p-value) |
|||||
---|---|---|---|---|---|---|---|
Year 0 |
Year 7 |
Year 20 |
|||||
λ | P-value | λ | P -value | λ | P -value | ||
Neighborhood: | |||||||
Fast food restaurants | Count of fast food restaurants within 3 km Euclidean buffer per 10 km of local and secondary roadwaysb,c | 1.00 | – | 1.00 | – | 1.00 | – |
Population densityd | 0.12 | 0.000 | 0.17 | 0.000 | −0.09 | 0.000 | |
Sit-down restaurants | Count of non-fast food restaurants within 3 km Euclidean buffer per 10 km of local and secondary roadwaysb,c | 1.00 | – | 1.00 | – | 1.00 | – |
Population densityc | 0.38 | 0.000 | 0.36 | 0.000 | 0.53 | 0.000 | |
Supermarkets | Count of supermarkets within 3 km Euclidean buffer per 10 km of local and secondary roadwaysb,c | 1.00 | – | 1.00 | – | 1.00 | – |
Population densityd | −0.05 | 0.000 | 0.11 | 0.000 | 0.37 | 0.000 | |
Convenience stores | Count of convenience stores within 3 km Euclidean buffer per 10 km of local and secondary roadwaysb,c | 1.00 | – | 1.00 | – | 1.00 | – |
Population densityd | 0.40 | 0.000 | 0.34 | 0.000 | 0.19 | 0.000 | |
Hypothesized dietary behaviors associated with: | |||||||
Fast food restaurants | Fast food restaurant visits per weeke | 0.42 | 0.000 | 0.59 | 0.000 | 0.61 | 0.000 |
Potatoes/fries | 0.25 | 0.000 | 0.10 | 0.854 | 0.10 | 0.005 | |
Processed meats | 0.19 | 0.000 | 0.14 | 0.000 | 0.05 | 0.235 | |
Beef | 0.13 | 0.003 | 0.11 | 0.000 | −0.06 | 0.137 | |
Fried chicken/seafood | 0.08 | 0.001 | 0.51 | 0.000 | 0.47 | 0.000 | |
Sweets/desserts | 0.20 | 0.000 | 0.04 | 0.172 | 0.04 | 0.234 | |
SSB | 0.26 | 0.000 | 0.13 | 0.000 | 0.09 | 0.000 | |
Diet drinks | 0.20 | 0.000 | 0.14 | 0.000 | 0.23 | 0.000 | |
Sit-down restaurants | Refined grainse | 0.79 | 0.000 | 0.75 | 0.000 | 0.72 | 0.000 |
Processed meats | 0.51 | 0.000 | 0.51 | 0.000 | 0.55 | 0.000 | |
Potatoes/fries | 0.47 | 0.000 | 0.49 | 0.000 | 0.46 | 0.000 | |
Beef | 0.67 | 0.000 | 0.66 | 0.000 | 0.69 | 0.000 | |
Unprocessed red meat (pork/veal/lamb) | 0.53 | 0.000 | 0.51 | 0.000 | 0.43 | 0.000 | |
Sweets/desserts | 0.18 | 0.000 | 0.29 | 0.000 | 0.19 | 0.000 | |
SSB | 0.09 | 0.017 | 0.12 | 0.000 | 0.09 | 0.006 | |
Diet drinks | −0.03 | 0.460 | 0.02 | 0.585 | −0.07 | 0.068 | |
Cheese | 0.46 | 0.000 | 0.43 | 0.000 | 0.37 | 0.000 | |
Vegetables | 0.33 | 0.000 | 0.24 | 0.000 | 0.06 | 0.013 | |
Fruit | 0.15 | 0.000 | 0.02 | 0.243 | −0.06 | 0.000 | |
Butter | 0.67 | 0.000 | 0.58 | 0.000 | 0.46 | 0.000 | |
Supermarkets | Cheesee | 0.56 | 0.000 | 0.44 | 0.000 | 0.45 | 0.000 |
Refined grains | 0.26 | 0.000 | 0.31 | 0.000 | 0.24 | 0.000 | |
Potato chips | 0.19 | 0.002 | 0.23 | 0.000 | 0.18 | 0.000 | |
Potatoes/fries | 0.29 | 0.000 | 0.26 | 0.000 | 0.17 | 0.000 | |
Processed meats | 0.07 | 0.024 | 0.10 | 0.000 | 0.12 | 0.000 | |
Unprocessed red meat (pork/veal/lamb) | 0.07 | 0.011 | 0.05 | 0.045 | 0.10 | 0.000 | |
Beef | 0.24 | 0.000 | 0.14 | 0.000 | 0.20 | 0.000 | |
Sweets/desserts | 0.36 | 0.000 | 0.34 | 0.000 | 0.29 | 0.000 | |
SSB | −0.03 | 0.606 | 0.03 | 0.650 | 0.06 | 0.567 | |
Diet drinks | 0.23 | 0.001 | 0.25 | 0.000 | 0.19 | 0.035 | |
Vegetables | 0.69 | 0.000 | 0.64 | 0.000 | 0.58 | 0.000 | |
Fruit | 0.45 | 0.000 | 0.46 | 0.000 | 0.41 | 0.000 | |
Butter | 0.26 | 0.000 | 0.20 | 0.000 | 0.26 | 0.000 | |
Juice | 0.50 | 0.000 | 0.43 | 0.000 | 0.41 | 0.000 | |
Nuts | 0.35 | 0.000 | 0.27 | 0.000 | 0.41 | 0.000 | |
Whole grains | 0.38 | 0.000 | 0.43 | 0.000 | 0.39 | 0.000 | |
Yogurt | 0.49 | 0.000 | 0.43 | 0.000 | 0.39 | 0.000 | |
Low-fat milk | 0.35 | 0.000 | 0.34 | 0.000 | 0.30 | 0.000 | |
Whole milk | 0.06 | 0.508 | −0.05 | 0.494 | 0.06 | 0.146 | |
Convenience stores | Whole milke | 0.50 | 0.000 | 0.38 | 0.000 | 0.20 | 0.000 |
Sweets/desserts | 0.34 | 0.000 | 0.24 | 0.000 | 0.25 | 0.000 | |
SSB | 0.24 | 0.000 | 0.36 | 0.000 | 0.52 | 0.000 | |
Diet drinks | −0.39 | 0.000 | −0.40 | 0.000 | −0.48 | 0.000 | |
Juice | 0.50 | 0.000 | 0.38 | 0.000 | 0.57 | 0.000 | |
Potato chips | 0.50 | 0.000 | 0.20 | 0.000 | 0.18 | 0.000 |
Derived from structural equation modeling using Mplus version 7.11 (Muthén and Muthén, 1998–2010)
Counts of Dunn & Bradstreet food resources.
Residual variances were set to zero to facilitate convergence.
Population density Z-scores from U.S. Census-tract level data spatially linked to respondent residential locations and temporally linked to CARDIA exam years (Year 0, 1980; Years 7, 1990; Year 15 and 20, 2000).
Referent indicator.