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Table 2 Associations between differences in risk factors with differences in age-adjusted mortality rates between adjacent counties

From: Explaining large mortality differences between adjacent counties: a cross-sectional study

  Univariate models Multivariable model
Variable Estimate 95 % CI DIC Estimate 95 % CI
Predisposing factors        
 ΔAfrican Americans (%) 0.54 −1.33 2.27 687.66    
Access        
 ΔPreventable hospitalization ratea 6.67 4.86 8.70 722.07    
 ΔPopulation without health insurance (%) 3.97 2.78 5.10 692.23    
 ΔPopulation unable to obtain medical care because of cost (%) 11.77 9.70 13.97 688.89 2.60 0.59 4.57
Use of health services        
 ΔEmergency department visits ratea 16.96 10.45 24.14 695.67    
 ΔHospital discharge ratea 1.87 1.43 2.34 725.89 1.03 0.66 1.38
Health behavior        
 ΔPopulation currently smoking (%) 4.78 3.15 6.26 710.03    
 ΔPopulation without leisure-time physical activity (%) 6.69 4.88 8.51 724.84    
Need        
 ΔPopulation in fair or poor health (%) 10.66 9.09 12.22 706.82 2.93 1.26 4.59
 ΔPopulation overweight or obese (%) 3.60 1.97 5.28 686.08    
 ΔPopulation with high blood pressure (%) 11.19 9.31 13.10 686.56 4.75 2.94 6.47
 ΔPopulation with diabetes (%) 5.61 1.97 8.93 685.38    
Enabling        
 ΔPopulation below federal poverty level (%) 11.26 9.50 13.13 704.97 6.08 4.38 7.97
Deviance information criteria (DIC)      768.84   
  1. Abbreviations: CI credible interval, DIC deviance information criteria
  2. aper 100,000 population bΔ signifies the difference between adjacent counties
  3. Bold font indicates estimates with 95 % CI that do not include the value of zero