Table 3:
Bivariate linear regression models to evaluate associations between biochemical
markers of renal function with some demographic variables,
with
kidney biomarkers and with blood lead levels.
|
β |
P |
95%
CI |
BUN levels |
|
|
|
Anemia |
-2.57 |
0.006 |
-4.42 - 0.724 |
Creatinine levels |
13.91 |
0.000 |
9.79 - 18.02 |
Uric acid levels |
0.694 |
0.004 |
0.225 - 1.164 |
Abnormal creatinine levels |
|
|
|
Gender |
-0.212 |
0.000 |
-0.260 - 0.165 |
BMI |
-0.003 |
0.023 |
-0.006 - 0.0005 |
BUN levels |
0.005 |
0.000 |
0.002 - 0.008 |
Uric acid levels |
0.055 |
0.000 |
0.040 - 0.070 |
Abnormal uric acid levels |
|
|
|
Gender |
-0.175 |
0.000 |
-0.223 -0.127 |
Age (years) |
-0.002 |
0.028 |
-0.005 -0.0002 |
BMI |
0.003 |
0.018 |
0.0005 - 0.006 |
Years of work |
0.003 |
0.049 |
0.007 - 0.101 |
Creatinine levels |
0.364 |
0.000 |
0.226 - 0.502 |
BLL baseline sample |
0.002 |
0.001 |
0.0009 - 0.003 |
Highest BLL |
0.002 |
0.002 |
0.0007 - 0.003 |
eGFR |
|
|
|
Baseline BLL |
-0.005 |
0.000 |
-0.008 -0.003 |
Highest BLL |
-0.005 |
0.000 |
-0.007 -0.003 |