Table 2.

Results of crosssectional linear regression models predicting telomere length (T/S ratio) from discrimination and neighborhood factors

	Model 1	Model 2
Discrimination	0.001 (−0.017, 0.018)	0.002 (−0.015, 0.020)
Social cohesion	0.005 (−0.015, 0.026)	0.004 (−0.016, 0.025)
Neighborhood safety	0.014 (−0.005, 0.034)	0.014 (−0.006, 0.034)
Walkability index	0.031 (0.011, 0.052)**	0.032 (0.012, 0.052)**
Total crimes within 1/10th mile of the residence	−0.013 (−0.032, 0.005)	−0.011 (−0.028, 0.007)
PM2.5	−0.006 (−0.023, 0.010)	−0.006 (−0.022, 0.011)
Black carbon	−0.001 (−0.018, 0.016)	0.001 (−0.016, 0.017)

Each of the discrimination and neighborhood factor variables is entered into separate models. Discrimination and neighborhood factor variables were converted to z-scores to have mean = 0 and standard deviation = 1 before including as predictors in regression models. Model 1 adjusts for the following covariates: neighborhood, age, gender, years in the neighborhood, income, education, marital status, and child in the home. Model 2 additionally adjusts for the following health behavior and conditions covariates: body mass index, current smoking status, hypertension, and high blood sugar. Sample sizes range by the outcome from 194 to 199. B (95% CI)

^*p < 0.05

^**p < 0.01

^***p < 0.001