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Table 2 Unadjusted effects of neighborhood variables on outcomes, n = 424

From: How is neighborhood social disorganization associated with diabetes outcomes? A multilevel investigation of glycemic control and self-reported use of acute or emergency health care services

Variable

A1ca

Self-reported use of acute or emergency health care servicesa

Regression Coefficient B (95% CI)

p-value

Regression Coefficient B (95% CI)

p-value

Neighborhood economic disadvantage

 Low

0.26 (−0.06, 0.58)

0.11

−0.55 (−1.09, − 0.01)

0.05

 Medium

REF

 

REF

 

 High

0.23 (−0.08, 0.54)

0.15

0.49* (0.03, 0.95)

0.04

Neighborhood residential instability

 Low

0.07 (− 0.23, 0.38)

0.63

− 0.42 (− 0.94, 0.09)

0.11

 Medium

REF

 

REF

 

 High

0.19 (− 0.09, 0.47)

0.18

−0.22 (− 0.69, 0.24)

0.33

Neighborhood ethnic heterogeneity

 Low

−0.002 (− 0.28, 0.27)

0.98

− 0.27 (− 0.74, 0.20)

0.25

 Medium

REF

 

REF

 

 High

0.16 (−0.12, 0.43)

0.26

0.02 (−0.43, 0.46)

0.94

NSD (composite measure)

 Low

0.17 (−0.10, 0.45)

0.21

−0.25 (− 0.72, 0.22)

0.29

 Medium

REF

 

REF

 

 High

0.47** (0.16, 0.78)

0.003

0.04 (−0.44, 0.53)

0.86

  1. NSD refers to neighborhood social disorganization
  2. * p < 0.05
  3. ** p < 0.01
  4. aModel adjusts for clustering of observations within census tract, but does not adjust for any individual-level demographic, psychosocial, or clinical variables. Each neighborhood variable was analyzed separately