Table 5

Logistic models of mortality by duration-weighted neighborhood inequality exposure, using three strategies of adjusting for selection

GiniUnadjustedRegression-AdjustedIPT-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) 
GiniUnadjustedRegression-AdjustedIPT-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.

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