| Higher Density Urban | Lower Density Urban | Suburban/small town | Rural |
---|
β (SE) | p-value | β (SE) | p-value | β (SE) | p-value | β (SE) | p-value |
---|
Supermarkets |
 Percentage, tailoreda | 0.67 (0.54) | 0.21 | 0.36 (0.32) | 0.27 | − 0.16 (0.66) | 0.81 | − 0.03 (0.43) | 0.94 |
Fast-food restaurants |
 Percentage, tailoreda | 0.46 (0.27) | 0.09 | 0.55 (0.18) |  < 0.01 | 1.50 (0.37) |  < .001 | 0.42 (0.23) | 0.06 |
- Bold denotes statistically significant at Bonferroni-corrected α < 0.01 level. Supermarkets and fast-food restaurants were modeled together. We controlled for individual-level covariates, NSEE, and total food outlets in all models. Higher scores indicate more proinflammatory diets (theoretical range: − 14.9–12.8)
- aWe tailored buffer sizes to each community type using 2-, 3-, 10-, and 16Â km (1-, 2-, 6-, and 10-mile) buffers for higher density urban, lower density urban, suburban/small town, and rural areas, respectively. Buffer sizes are represented in kilometers rounded to the nearest whole number