Table 3.
The relationships between LogOPN and 1-OHP in non-smoking subjects used for linear regression models
| 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 | ||||||||||||
aThe predictive variables including Log1-OHP, age, BMI, waist circumstances, time spent indoors, gender, alcohol drinking, vitamin supplement, and regular exercise
bThe predictive variables including 1-OHP (median categories), age, BMI, waist circumstances, time spent indoors, gender, alcohol drinking, vitamin supplement, and regular exercise
cThe predictive variables including 1-OHP(µg/g creatinine), age, BMI, waist circumstances, time spent indoors, gender, alcohol drinking, vitamin supplement, and regular exercise