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Table 3 Multiple logistic regression analysis demonstrating association between blood lead level and hyperuricemia * in four models

From: The Relevance of Hyperuricemia and Metabolic Syndrome and the Effect of Blood Lead Level on Uric Acid Concentration in Steelmaking Workers

Variables Odds ratio (95% confidence interval)
Model 1 Model 2 Model 3 Model 4
Tertile group (blood lead, μg/dL)     
I (< 2.61) 1.000 1.000 1.000 1.000
II (2.61 ~ 4.50) 1.676 (1.091 ~ 2.576) 1.971 (1.258 ~ 3.087) 1.902 (1.211 ~ 2.989) 1.763 (1.116 ~ 2.784)
III (>4.50) 1.890 (1.236 ~ 2.889) 2.286 (1.460 ~ 3.579) 2.182 (1.389 ~ 3.430) 1.982 (1.254 ~ 3.132)
Age (years)   0.951 (0.934 ~ 0.967) 0.943 (0.924 ~ 0.962) 0.945 (0.925 ~ 0.965)
Body mass index (kg/m2)   1.098 (1.031 ~ 1.168) 1.099 (1.033 ~ 1.170) 1.096 (1.030 ~ 1.168)
γ-GTP (IU/L)   1.006 (1.003 ~ 1.010) 1.005 (1.002 ~ 1.009) 1.005 (1.002 ~ 1.009)
Smoking (pack-year)    1.017 (0.999 ~ 1.035) 1.020 (1.002 ~ 1.039)
Drinking (days/week)    1.076 (0.944 ~ 1.226) 1.085 (0.951 ~ 1.238)
Exercise (days/week)    0.950 (0.853 ~ 1.058) 0.938 (0.841 ~ 1.046)
Serum creatinine (mg/dL)     16.877 (3.388 ~ 84.073)
  1. *: Serum uric acid level ≥7 mg/dL.
  2. Model 1: not adjusted.
  3. Model 2: adjusted by age, body mass index, γ-GTP.
  4. Model 3: adjusted for model 2 plus smoking, drinking, exercise.
  5. Model 4: adjusted for model 3 plus serum creatinine.