Logistic models of mortality by duration-weighted neighborhood inequality exposure, using three strategies of adjusting for selection
Gini . | Unadjusted . | Regression-Adjusted . | IPT-Weighted . |
---|---|---|---|
First | — | — | — |
Second | 0.04 | −0.13 | −0.01 |
(0.22) | (0.23) | (0.23) | |
Third | 0.41 | 0.24 | 0.40 |
(0.21) | (0.22) | (0.22) | |
Fourth | 0.09 | −0.16 | 0.17 |
(0.24) | (0.25) | (0.24) | |
Fifth | −0.26 | −0.45 | −0.20 |
(0.28) | (0.29) | (0.28) |
Gini . | Unadjusted . | Regression-Adjusted . | IPT-Weighted . |
---|---|---|---|
First | — | — | — |
Second | 0.04 | −0.13 | −0.01 |
(0.22) | (0.23) | (0.23) | |
Third | 0.41 | 0.24 | 0.40 |
(0.21) | (0.22) | (0.22) | |
Fourth | 0.09 | −0.16 | 0.17 |
(0.24) | (0.25) | (0.24) | |
Fifth | −0.26 | −0.45 | −0.20 |
(0.28) | (0.29) | (0.28) |
Notes: Effects are log-odds ratios of mortality risk. Positive coefficients indicate increased risk. All models adjust for baseline covariates: birth cohort, race, gender, southern region, and educational attainment. Time-varying covariates are employment, family income, neighborhood average family income, neighborhood population size, and neighborhood proportion Black. The first model does not adjust for time-varying covariates; the second model includes time-varying covariates as regression controls; and the third model uses time-varying covariates to inform IPT weights.