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Table 3 Estimated odds ratios for asthma events using polychotomous conditional logistic regression models.

From: Asthma exacerbation and proximity of residence to major roads: a population-based matched case-control study among the pediatric Medicaid population in Detroit, Michigan

Model Covariate Term Single claimants versus controls Multiple claimants versus controls
    OR1 95% CI2 P-value OR 95% CI P-value
1 Primary Road Primary 0.982 0.933 1.035 0.50 0.967 0.935 0.999 0.04
2 Secondary Road Secondary 0.979 0.927 1.035 0.46 1.002 0.967 1.037 0.93
3 Primary Road + Secondary Road Primary 0.980 0.930 1.033 0.45 0.966 0.935 0.999 0.04
   Secondary 0.977 0.924 1.033 0.42 0.998 0.963 1.034 0.91
4 RFRS4(Primary Road) Primary 1.131 0.583 2.194 0.72 1.029 0.665 1.593 0.90
5 RFRS(Secondary Road) Secondary 1.163 0.678 1.994 0.58 0.922 0.658 1.293 0.64
6 RFRS(Primary Road) + RFRS(Secondary Road) Primary 1.126 0.580 2.184 0.73 1.031 0.666 1.596 0.89
   Secondary 1.160 0.676 1.990 0.59 0.922 0.658 1.292 0.64
  1. 2 OR: Odds ratio
  2. 3 CI: Confidence interval
  3. 4 RFRS: Reduced form response surface transformation
  4. Estimated odds ratios for asthma events with a kilometer increase of distance from main roads or with a 1-unit increase of RFRS transformed distance, using polychotomous conditional logistic regression models with two sub-types of cases: single claims and cases with two or more claims in the study period.