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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