Table 3.
Multiple linier regression model for the effect of quartiles of heavy metals on AMH (ng/ml)
| Heavy metals | Response | AMH in 2nd follow-up visit | AMH in 5th follow-up visit | ||||||
|---|---|---|---|---|---|---|---|---|---|
| quartiles* | Model 1 | Model 2 | Model 1 | Model 2 | |||||
| β | 95% CI | β | 95% CI | β | 95% CI | β | 95% CI | ||
| Cu | 1 | - | - | - | - | - | - | - | - |
| 2 | 0.25 | −0.02-0.48 | 0.29 | −0.01-0.56 | −0.17 | −0.42-0.08 | −0.07 | −0.38–0.22 | |
| 3 | 0.12 | −0.10-0.35 | 0.14 | −0.13-0.41 | −0.30 | −0.56 - −0.05 | −0.34 | −0.65 - −0.03 | |
| 4 | 0.12 | −0.10-0.34 | 0.11 | −0.15-0.39 | −0.35 | −0.60 - −0.10 | −0.43 | −0.73 - −0.13 | |
| Al | 1 | - | - | - | - | - | - | - | - |
| 2 | 0.04 | −0.18-0.27 | 0.08 | −0.18-0.35 | 0.15 | −0.10-0.40 | 0.20 | −0.10-0.52 | |
| 3 | −0.07 | −0.30-0.15 | −0.03 | −0.31-0.24 | 0.20 | −0.05-0.45 | 0.21 | −0.09-0.52 | |
| 4 | −0.03 | −0.27-0.19 | −0.01 | −0.27-0.26 | 0.25 | −0.01-0.50 | 0.26 | −0.03-0.57 | |
| Pb | 1 | - | - | - | - | - | - | - | - |
| 2 | −0.04 | −0.27-0.17 | −0.05 | −0.31-0.20 | −0.10 | −0.36-0.14 | −0.17 | −0.48-0.13 | |
| 3 | −0.09 | −0.32-0.14 | −0.11 | −0.39-0.15 | −0.09 | −0.35-0.16 | −0.17 | −0.49-0.13 | |
| 4 | −0.02 | −0.25-0.20 | −0.02 | −0.29-0.25 | −0.10 | −0.36-0.15 | −0.14 | −0.47-0.17 | |
| Cr | 1 | - | - | - | - | - | - | - | - |
| 2 | 0.15 | −0.07-0.38 | 0.15 | −0.11-0.42 | 0.01 | −0.25-0.25 | −0.06 | −0.36-0.23 | |
| 3 | 0.06 | −0.15-0.28 | 0.13 | −0.12-0.39 | −0.10 | −0.35-0.15 | −0.08 | −0.40-0.23 | |
| 4 | 0.13 | −0.09-0.36 | 0.18 | −0.09-0.45 | −0.14 | −0.39-0.10 | −0.22 | −0.53-0.08 | |
Model 1: adjusted for enter age
Model 2: adjusted for enter age, smoking status, BMI, physical activity, menarche age, educational level, marital status and parity
*First level of quartiles are given as reference level