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. 2022 Dec 2;13:1052784. doi: 10.3389/fendo.2022.1052784

Table 2.

Multiple linear regression associations of blood metal levels with serum uric acid in adults.

Metals Continuous log2-transformed Metals Quartile 1 Quartile 2 Quartile 3 Quartile 4 P for trend
β β (95%CI) β (95%CI) β (95%CI)
Mercury, µg/L 0.046 (0.032, 0.059) *** 0.00 [Reference] 0.084 (0.032, 0.136) ** 0.100 (0.046, 0.153) *** 0.188 (0.133, 0.244) *** <0.001
Manganese, µg/L 0.009 (-0.031, 0.048) 0.00 [Reference] -0.016 (-0.069, 0.036) 0.002 (-0.051, 0.056) 0.020 (-0.036, 0.076) 0.394
Lead, µg/dL 0.107 (0.085, 0.129) *** 0.00 [Reference] 0.111 (0.058, 0.166) *** 0.193 (0.135, 0.250) *** 0.287 (0.225, 0.350) *** <0.001
Cadmium, µg/L -0.002 (-0.023, 0.019) 0.00 [Reference] -0.029 (-0.082, 0.024) -0.053 (-0.110, 0.005) 0.015 (-0.053, 0.083) 0.889
Selenium, µg/L 0.119 (0.020, 0.218) * 0.00 [Reference] 0.082 (0.030, 0.135) ** 0.057 (0.005, 0.110) ** 0.114 (0.061, 0.168) *** <0.001

Model was adjusted as age, sex, education level, race, poverty, smoker, alcohol user, energy intake levels, sedentary time, BMI, total cholesterol, high-density lipoprotein cholesterol, eGFR, urinary creatinine, urinary albumin, diuretics, anti-gout medications, beta-blockers, diabetes, and hypertension.

CI, confidence interval; * p < 0.05, ** p < 0.01 and *** p < 0.001.