Built environment predictors of adult obesity and diabetes,* Salt Lake City
| Built environment characteristics | Obese | Diabetes |
| Prevalence ratio (95% CI)† | Prevalence ratio (95% CI)† | |
| Green streets | ||
| Third tertile (highest) | 0.73 (0.63 to 0.85) | 0.86 (0.77 to 0.96) |
| Second tertile | 0.99 (0.92 to 1.06) | 1.03 (0.97 to 1.08) |
| Crosswalks | ||
| Third tertile (highest) | 0.76 (0.69 to 0.85) | 0.87 (0.80 to 0.95) |
| Second tertile | 1.02 (0.97 to 1.07) | 1.01 (0.95 to 1.06) |
| Commercial buildings/apartments | ||
| Third tertile (highest) | 0.79 (0.67 to 0.94) | 0.81 (0.67 to 0.98) |
| Second tertile | 0.93 (0.86 to 1.01) | 0.91 (0.84 to 0.99) |
| N | 727 737 | 736 218 |
*Data source for health outcomes: Utah Population database.
†Adjusted Poisson models were run for each outcome separately. Models controlled for individual-level age, sex, race, ethnicity, education and marital status as well as zip code-level population density, percentage of the population 65 years and older, percentage of Hispanics, percentage of blacks, median household income and percentage of householder living in current residence for 5 years or more. Built environment characteristics were categorised into tertiles, with the lowest tertile serving as the referent group. SEs were adjusted for clustering of values at the zip code level.