Skip to main content

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.