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Table 4 Logistic regression analysis of the connection between the exposure to occupational hazards and HUA

From: Influence of occupational exposure on hyperuricemia in steelworkers: a nested case–control study

Variable

Model I

Model II

Model III

OR (95% CI)

P

OR (95% CI)

P

OR (95% CI)

P

Shift work

 Never

1.00

-

1.00

-

1.00

-

 Ever

2.00(1.31–3.05)

0.001*

2.01(1.25–3.22)

0.004*

2.18(1.28–3.69)

0.004*

 Current

1.69(1.15–2.49)

0.008*

1.68(1.09–2.60)

0.020*

1.81(1.11–2.95)

0.018*

Heat exposure

 No

1.00

-

1.00

-

1.00

-

 Yes

1.63(1.27–2.08)

 < 0.001*

1.47(1.13–1.93)

0.005*

1.58(1.17–2.14)

0.003*

Dust exposure

 No

1.00

-

1.00

-

1.00

-

 Yes

1.43(1.11–1.83)

0.005*

1.48(1.12–1.94)

0.005*

1.34(1.01–1.81)

0.048*

Noise exposure

 No

1.00

-

1.00

-

1.00

-

 Yes

0.91(0.71–1.16)

0.446

0.93(0.71–1.23)

0.625

0.95(0.70–1.29)

0.759

  1. *indicates statistical significance
  2. Model I: Adjusted for service years, marital status, education level, and monthly per capita household income
  3. Model II: Adjusted for BMI, hypertension, diabetes, dyslipidemia, abnormal kidney function, and abnormal liver function based on Model I
  4. Model III: Adjusted for frequency of vegetable consumption, frequency of fruit consumption, frequency of meat consumption, frequency of egg consumption, frequency of dairy product consumption, frequency of soy product consumption, frequency of seafood consumption, physical activity level, physical exercise, smoking, drinking, tea drinking based on Model II