Table 3.
Multivariate logistic regression analysis of the association of alcohol consumption with chronic kidney disease in men based on three models *
|
N = 11,900 |
Model 1 |
Model 2 |
Model 3 |
|||
|---|---|---|---|---|---|---|
| |
Multivariable OR |
p
|
Multivariable OR |
p
|
Multivariable OR |
p
|
| (95% CI) | (95% CI) | (95% CI) | ||||
| Age ≥ 65 years |
5.53(4.97-6.15) |
<0.001 |
5.54(4.97-6.17) |
<0.001 |
5.07(4.52-5.70) |
<0.001 |
| Smoking |
|
|
0.95(0.83-1.09) |
0.460 |
1.02(0.89-1.18) |
0.766 |
| Betel nut chewing |
|
|
1.09(0.91-1.32) |
0.347 |
1.12(0.92-1.36) |
0.270 |
| Hypertension |
|
|
|
|
1.63(1.46-1.83) |
<0.001 |
| Diabetes |
|
|
|
|
1.05(0.90-1.21) |
0.549 |
| Anemia |
|
|
|
|
2.14(1.78-2.57) |
<0.001 |
| Hyperlipidemia |
|
|
|
|
1.15(0.89-1.50) |
0.293 |
| BMI 18.5-24/ BMI < 18.5 |
|
|
|
|
1.39(0.96-2.01) |
0.083 |
| BMI ≥ 24/ BMI <18.5 |
|
|
|
|
1.55(1.07-2.24) |
0.021 |
| Hyperuricemia |
|
|
|
|
3.19(2.86-3.56) |
<0.001 |
| Proteinuria |
|
|
|
|
2.27(1.96-2.62) |
<0.001 |
| Occasional drinking/Non-drinking |
0.73(0.64-0.83) |
<0.001 |
0.72(0.63-0.83) |
<0.001 |
0.68(0.59-0.78) |
<0.001 |
| Frequent drinking/Non-drinking |
0.61(0.46-0.81) |
0.001 |
0.61(0.46-0.81) |
0.001 |
0.47(0.35-0.63) |
<0.001 |
| |
P for trend |
<0.001 |
P for trend |
<0.001 |
P for trend |
<0.001 |
| Non-drinking/Occasional drinking |
1.37(1.21-1.56) |
<0.001 |
1.38(1.21-1.58) |
<0.001 |
1.48(1.29-1.70) |
<0.001 |
| Frequent drinking/Occasional drinking |
0.84(0.63-1.13) |
0.242 |
0.84(0.62-1.12) |
0.236 |
0.69(0.51-0.94) |
0.020 |
| P for trend | <0.001 | P for trend | <0.001 | P for trend | <0.001 | |
*In this table and Table 4: Model 1 was adjusted for age alone; Model 2 was adjusted for age plus smoking and betel nut chewing; Model 3 was adjusted for all variables in Model 2 plus hypertension, diabetes, anemia, hyperlipidemia, body mass index, hyperuricemia, and proteinuria.