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Table 3 The relationships between LogOPN and 1-OHP in non-smoking subjects used for linear regression models

From: Aryl hydrocarbon receptor activation-mediated vascular toxicity of ambient fine particulate matter: contribution of polycyclic aromatic hydrocarbons and osteopontin as a biomarker

  Univariate analysis Model 1 (stepwise)a Model 2 (stepwise)b Model 3 (stepwise)c
B 95%CI p-value B 95%CI p-value B 95%CI p-value B 95%CI p-value
Log1-OHP 1.11 0.64 1.57  < 0.001 0.88 0.42 1.35  < 0.001         
1-OHP
(≥ 0.083 ng/ml vs. < 0.083 ng/ml)
0.69 0.27 1.10 0.002      0.43 0.02 0.84 0.041     
1-OHP(µg/g creatinine) 2.18 0.05 3.86 0.012          1.86 0.30 3.42 0.020
Age (year)  − 0.09  − 0.16  − 0.02 0.009             
BMI (Kg/m2) 0.04  − 0.02 0.11 0.163             
Waist circumstances (cm) 0.01  − 0.01 0.04 0.297             
Time spent indoors (hours)  − 0.06  − 0.12 0.004 0.065       − 0.05  − 0.10 0.01 0.07     
Time spent outdoors (hours) 0.07  − 0.02 0.15 0.118             
Transit time (hours) 0.12  − 0.24 0.47 0.504             
Gender (Male vs. Female) 0.44  − 0.01 0.88 0.053 0.34  − 0.02 0.71 0.063 0.40 0.02 0.78 0.041     
Alcohol drinking (Yes vs. No) 0.03  − 0.32 0.38 0.859             
Vitamin supplement (Yes vs. No)  − 0.92  − 1.40  − 0.43  < 0.001  − 0.53  − 1.00  − 0.07 0.025  − 0.65  − 1.13  − 0.16 0.010  − 0.62  − 1.00  − 0.24 0.002
Medicine taken (Yes vs. No)  − 0.84  − 1.83 0.16 0.098             
Regular exercise (Yes vs. No)  − 0.09  − 0.38 0.21 0.545             
  1. aThe predictive variables including Log1-OHP, age, BMI, waist circumstances, time spent indoors, gender, alcohol drinking, vitamin supplement, and regular exercise
  2. bThe predictive variables including 1-OHP (median categories), age, BMI, waist circumstances, time spent indoors, gender, alcohol drinking, vitamin supplement, and regular exercise
  3. cThe predictive variables including 1-OHP(µg/g creatinine), age, BMI, waist circumstances, time spent indoors, gender, alcohol drinking, vitamin supplement, and regular exercise