Table 2.
The association between drinking status and the risk of kidney stones
Model 1 | Model 2 | Model 3 | Model 4 | |||||
---|---|---|---|---|---|---|---|---|
Drinking status | OR (95%CI) | P | OR (95%CI) | P | OR (95%CI) | P | OR (95%CI) | P |
Former | ref | ref | ref | ref | ||||
Mild | 0.79(0.68,0.92) | < 0.01 | 0.87(0.75,1.01) | 0.07 | 0.93(0.80,1.09) | 0.37 | 0.95(0.81,1.11) | 0.48 |
Moderate | 0.60(0.49,0.73) | < 0.01 | 0.81(0.65,1.01) | 0.06 | 0.87(0.70,1.08) | 0.19 | 0.89(0.72,1.11) | 0.31 |
Heavy | 0.50(0.41,0.62) | < 0.01 | 0.71(0.56,0.88) | < 0.01 | 0.73(0.58,0.94) | 0.01 | 0.76(0.60,0.98) | 0.03 |
p for trend | < 0.01 | < 0.01 | 0.01 | 0.03 |
Model 1: Crude model
Model 2: Adjusting for sociolect-demographic variables (sex, age, race, marriage status, RIP, education levels)
Model 3: Adjusting for personal status variables (sex, age, race, marriage status, RIP, education levels, BMI, cancer, stroke, diabetes, heart attack, smoke status)
Model 4: Fully-adjusted mode, which adjusts for sex, age, race, marriage status, RIP, education levels, BMI, cancer, stroke, diabetes, heart attack, smoking status, energy, protein, carbohydrate, vitamin c, vitamin d, vitamin e, calcium, magnesium