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. Author manuscript; available in PMC: 2023 Nov 1.
Published in final edited form as: Epidemiology. 2022 Oct 5;33(6):890–899. doi: 10.1097/EDE.0000000000001537

Table:

Univariable analysis of MSA characteristics and differences in the size of the absolute disparity in life expectancy at birth

Predictor Standard Deviation Change in Mean Total Life Expectancy Disparity (95% CI)
N=377
R-Squared
Population Sizea NA 0.32 (0.15;0.5) 4.4%
Median Household Incomea NA 0.51 (−0.68;1.7) 0.3%
Percent housing burdened 5.3% −0.06 (−0.26;0.14) 0.2%
Percent college graduate 8.1% 0.28 (0.06;0.49) 2.9%
Percent uninsured 5.1% −0.13 (−0.33;0.07) 0.7%
Percent poverty 4.1% 0.01 (−0.2;0.22) 0.1%
Percent unemployed 2.3% −0.14 (−0.36;0.08) 0.9%
Percent foreign-born 6.6% 0.03 (−0.16;0.22) 0.1%
Percent Hispanic 16.% −0.09 (−0.29;0.1) 0.4%
Percent non-Hispanic Black 11% 0.28 (0.08;0.48) 2.9%
Dissimilarity: Hispanic and NH-White 0.09 0.22 (0.03;0.42) 1.9%
Dissimilarity: NH-Black and NH White 0.10 0.35 (0.15;0.55) 4.5%
Region - 5.1%
 West 0 (Ref)
 Midwest NA 1.0 (0.42;1.6)
 South NA 0.33 (−0.18;0.85)
 Northeast NA 0.24 (−0.43;0.92)

Footnote: N=377. Disparity calculated as absolute disparity: difference between 90th and 10th population-weighted percentiles of life expectancy for each city. Each variable was entered in a separate model.

a

Log of population and median household income.

Coefficient interpretation: a 10% larger population is associated with a 0.32*log(1.1)=0.032 years wider absolute disparity between tracts at the 90th and 10th percentile of life expectancy. West is reference group for region.

MSA=Metropolitan Statistical Area.