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. 2022 Nov 11;99(6):984–997. doi: 10.1007/s11524-022-00692-w

Table 4.

Association* between gentrification and indicators of change in health and healthcare utilization

Estimate 95% CI p value
CVD
  Intercept 0 0 0  < 0.001
  Time 1.98 1.83 2.14  < 0.001
  Gentrification 0.93 0.78 1.12 0.44
Diabetes
  Intercept 0.02 0.01 0.02  < 0.001
  Time 1.55 1.49 1.61  < 0.001
  Gentrification 1.00 0.89 1.13  > 0.99
Hypertension
  Intercept 0.02 0.01 0.02  < 0.001
  Time 1.60 1.52 1.69  < 0.001
  Gentrification 0.96 0.86 1.06 0.42
Obesity
  Intercept 0.07 0.06 0.08  < 0.001
  Time 3.24 3.09 3.39  < 0.001
  Gentrification 0.89 0.81 0.99 0.026
Depression
  Intercept 0.04 0.03 0.04  < 0.001
  Time 2.40 2.28 2.52  < 0.001
  Gentrification 1.05 0.93 1.18 0.42
Asthma
  Intercept 0.05 0.04 0.06  < 0.001
  Time 1.97 1.87 2.08  < 0.001
  Gentrification 1.03 0.9 1.19 0.65
Emergency department
  Intercept 0.84 0.76 0.93  < 0.001
  Time 2.19 2.08 2.30  < 0.001
  Gentrification 1.10 1.01 1.20 0.024
Inpatient
  Intercept 0.02 0.02 0.02  < 0.001
  Time 1.23 1.13 1.33  < 0.001
  Gentrification 1.09 0.97 1.23 0.16
Outpatient
  Intercept 0.26 0.24 0.30  < 0.001
  Time 1.15 1.11 1.20  < 0.001
  Gentrification 0.93 0.87 1.00 0.05

Models adjusted for age, race, ICE, sex, insurance status, and the individual-level clustering effect