Table 5.
Multivariate multi-metal model logistic regression of the relationship between heavy metals and kidney stone after PSM.
| Metals | Phosphorus | Magnesium | Copper | Selenium | ||||
|---|---|---|---|---|---|---|---|---|
| aOR (95% CI) | P | aOR (95% CI) | P | aOR (95% CI) | P | aOR (95% CI) | P | |
| Overall | 0.504 | 0.599 | <0.001 | 0.246 | ||||
| Q1 | Reference | Reference | Reference | Reference | ||||
| Q2 | 1.109 (0.931–1.321) | 0.247 | 0.923 (0.768–1.110) | 0.394 | 0.827 (0.693–0.986) | 0.034 | 1.163 (0.990–1.366) | 0.067 |
| Q3 | 1.150 (0.924–1.430) | 0.210 | 0.989 (0.786–1.245) | 0.927 | 0.760 (0.616–0.938) | 0.011 | 1.185 (0.983–1.429) | 0.076 |
| Q4 | 1.224 (0.936–1.600) | 0.139 | 1.059 (0.800–1.402) | 0.689 | 0.581 (0.454–0.744) | <0.001 | 1.149 (0.922–1.433) | 0.216 |
CI, confidence interval; aOR, adjusted odds ratio; PSM, propensity score matching.
Adjusted to: gender, age, race, marital status, education level, BMI, hypertension, diabetes mellitus, vigorous physical activities, moderate physical activities, blood urea nitrogen, creatinine, uric acid, estimated glomerular filtration rate (eGFR), phosphorus, magnesium, copper and selenium.