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

BMC Public Health

Table 5 Logistic regression analysis of the connection between post-occupational cumulative exposure segmentation and HUA

Variable	Model I		Model II		Model III
Variable	OR (95% CI)	P	OR (95% CI)	P	OR (95% CI)	P
Cumulative number of days of night work (day)
0	1.00	-	1.00	-	1.00	-
0–1,972.80	1.76(1.16–2.66)	0.007*	1.71(1.08–2.71)	0.023*	1.87(1.12–3.13)	0.017*
≥ 1,972.80	1.87(1.25–2.80)	0.002*	1.92(1.22–3.01)	0.005*	2.02(1.21–3.37)	0.007*
Cumulative exposure to heat (°C/year)
0	1.00	-	1.00	-	1.00	-
0–567.83	1.31(0.95–1.80)	0.095	1.42(1.00–2.01)	0.051	1.50(1.02–2.22)	0.041*
≥ 567.83	1.95(1.43–2.66)	< 0.001*	1.53(1.08–2.17)	0.016*	1.64(1.11–2.43)	0.014*
Cumulative exposure to dust (mg/m³/year)
0	1.00	-	1.00	-	1.00	-
0–30.02	1.23(0.89–1.70)	0.214	1.27(0.89–1.80)	0.192	1.16(0.78–1.73)	0.459
≥ 30.02	1.69(1.21–2.36)	0.002*	1.75(1.21–2.52)	0.003*	1.56(1.05–2.32)	0.028*
Cumulative noise exposure (dB(A)/year)
0	1.00	-	1.00	-	1.00	-
0–1,660.68	0.91(0.65–1.26)	0.563	0.87(0.60–1.26)	0.462	0.91(0.61–1.37)	0.653
≥ 1,660.68	0.94(0.70–1.27)	0.696	0.97(0.70–1.34)	0.845	0.97(0.68–1.38)	0.851

^*indicates statistical significance
Model I: Adjusted for service years, marital status, education level, and monthly per capita household income
Model II: Adjusted for BMI, hypertension, diabetes, dyslipidemia, abnormal kidney function, and abnormal liver function based on Model I
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

ISSN: 1471-2458