Table 3.
Logistic regression analysis of serum and urinary concentrations of ETEs in MDD patients and HCs.
| ETEs | Serum | Urinary | |||||||
|---|---|---|---|---|---|---|---|---|---|
| OR a | p | AOR | p | OR b | p | AOR | p | ||
| I | Q1 | 1.000 | 1.000 | 1.000 | 1.000 | ||||
| Q2 | 0.842 (0.433, 1.638) | 0.613 | 0.506 (0.215, 1.188) | 0.118 | 0.667 (0.321, 1.384) | 0.277 | 1.042 (0.394, 2.756) | 0.934 | |
| Q3 | 0.368 (0.155, 0.876) | 0.024 | 0.210 (0.076, 0.579) | 0.003 | 0.55 (0.264, 1.148) | 0.111 | 0.839 (0.315, 2.235) | 0.726 | |
| Q4 | 0.474 (0.214, 1.047) | 0.065 | 0.272 (0.106, 0.701) | 0.007 | 1.833 (1.032, 3.256) | 0.039 | 2.952 (1.233, 7.071) | 0.015 | |
| Fe | Q1 | 1.000 | 1.000 | 1.000 | 1.000 | ||||
| Q2 | 0.556 (0.256, 1.203) | 0.136 | 0.494 (0.186, 1.31) | 0.157 | 0.526 (0.245, 1.132) | 0.100 | 0.634 (0.237, 1.697) | 0.364 | |
| Q3 | 1.1 (0.6, 2.015) | 0.758 | 0.98 (0.428, 2.246) | 0.962 | 1 (0.529, 1.889) | 1.00 | 1.208 (0.503, 2.898) | 0.673 | |
| Q4 | 0.778 (0.387, 1.564) | 0.481 | 0.686 (0.278, 1.694) | 0.414 | 1.211 (0.659, 2.223) | 0.538 | 1.461 (0.606, 3.521) | 0.398 | |
| Zn | Q1 | 1.000 | 1.000 | 1.000 | 1.000 | ||||
| Q2 | 1 (0.529, 1.889) | 1 | 1.881 (0.732, 4.833) | 0.19 | 0.632 (0.307, 1.301) | 0.213 | 1.328 (0.471, 3.741) | 0.592 | |
| Q3 | 1.421 (0.79, 2.556) | 0.241 | 2.678 (1.107, 6.481) | 0.029 | 1.105 (0.594, 2.056) | 0.752 | 2.37 (0.895, 6.274) | 0.082 | |
| Q4 | 0.722 (0.354, 1.474) | 0.371 | 1.233 (0.466, 3.264) | 0.673 | 1.421 (0.79, 2.556) | 0.241 | 2.951 (1.141, 7.63) | 0.026 | |
| Se | Q1 | 1.000 | 1.000 | 1.000 | 1.000 | ||||
| Q2 | 1.55 (0.883, 2.719) | 0.127 | 1.925 (0.832, 4.453) | 0.126 | 0.737 (0.369, 1.47) | 0.386 | 0.871 (0.342, 2.22) | 0.772 | |
| Q3 | 0.684 (0.338, 1.385) | 0.292 | 0.866 (0.334, 2.247) | 0.768 | 0.579 (0.276, 1.217) | 0.149 | 0.713 (0.268, 1.898) | 0.499 | |
| Q4 | 0.5 (0.225, 1.113) | 0.09 | 0.585 (0.207, 1.649) | 0.31 | 1.421 (0.79, 2.556) | 0.241 | 1.761 (0.728, 4.259) | 0.209 | |
| Cu | Q1 | 1.000 | 1.000 | 1.000 | 1.000 | ||||
| Q2 | 0.278 (0.103, 0.748) | 0.011 | 0.101 (0.032, 0.322) | < 0.001 | 1.053 (0.562, 1.972) | 0.873 | 1.062 (0.444, 2.539) | 0.892 | |
| Q3 | 0.105 (0.025, 0.452) | 0.002 | 0.041 (0.009, 0.195) | < 0.001 | 0.789 (0.401, 1.554) | 0.494 | 0.809 (0.32, 2.046) | 0.654 | |
| Q4 | 0.632 (0.307, 1.301) | 0.213 | 0.24 (0.096, 0.596) | 0.002 | 0.722 (0.354, 1.474) | 0.371 | 0.723 (0.28, 1.863) | 0.502 | |
| Mo | Q1 | 1.000 | 1.000 | 1.000 | 1.000 | ||||
| Q2 | 1.5 (0.826, 2.723) | 0.183 | 1.507 (0.647, 3.509) | 0.341 | 0.789 (0.401, 1.554) | 0.494 | 1.336 (0.515, 3.466) | 0.551 | |
| Q3 | 0.7 (0.354, 1.386) | 0.306 | 0.68 (0.269, 1.719) | 0.415 | 1.167 (0.622, 2.19) | 0.631 | 2.024 (0.799, 5.129) | 0.137 | |
| Q4 | 0.389 (0.162, 0.931) | 0.034 | 0.384 (0.133, 1.107) | 0.076 | 1.105 (0.594, 2.056) | 0.752 | 1.875 (0.744, 4.727) | 0.182 | |
| Co | Q1 | 1.000 | 1.000 | 1.000 | 1.000 | ||||
| Q2 | 1.421 (0.79, 2.556) | 0.241 | 1.503 (0.654, 3.451) | 0.337 | 0.833 (0.42, 1.653) | 0.602 | 1.055 (0.417, 2.671) | 0.91 | |
| Q3 | 0.368 (0.155, 0.876) | 0.024 | 0.389 (0.135, 1.116) | 0.079 | 1.316 (0.725, 2.389) | 0.367 | 1.639 (0.7, 3.839) | 0.255 | |
| Q4 | 0.842 (0.433, 1.638) | 0.613 | 0.923 (0.378, 2.255) | 0.86 | 0.632 (0.307, 1.301) | 0.213 | 0.809 (0.305, 2.15) | 0.671 | |
aDetermined by an unconditional logistic regression model. bAdjusted OR and 95% CI were determined by an unconditional logistic regression model after adjusting for age, gender, and BMI. Bold represents p < 0.05.