Table 3.

Multivariate-adjusted OR and 95% CI for hyperuricemia according to quartile of total beans intake.

Variables	OR (95% CI)
	Model 1	Model 2	Model 3
Men
Q1	1.00 (Ref.)	1.00 (Ref.)	1.00 (Ref.)
Q2	1.08 (0.95, 1.23)	0.94 (0.82, 1.08)	0.93 (0.81, 1.07)
Q3	1.19 (1.04, 1.35)	0.89 (0.77, 1.03)	0.88 (0.76, 1.01)
Q4	1.12 (0.97, 1.28)	0.83 (0.71, 0.97)	0.83 (0.71, 0.97)
Per 10-g increment	1.02 (1.00, 1.03)	0.99 (0.98, 1.00)	0.99 (0.98, 1.01)
Ptrend	0.04	0.012	0.015
Women
Q1	1.00 (Ref.)	1.00 (Ref.)	1.00 (Ref.)
Q2	0.93 (0.83, 1.05)	0.92 (0.81, 1.04)	0.91 (0.81, 1.04)
Q3	0.91 (0.80, 1.04)	0.84 (0.73, 0.97)	0.85 (0.74, 0.97)
Q4	0.81 (0.71, 0.92)	0.73 (0.64, 0.84)	0.73 (0.63, 0.84)
Per 10-g increment	0.98 (0.97, 0.99)	0.97 (0.96, 0.97)	0.97 (0.96, 0.99)
Ptrend	<0.001	<0.001	<0.001
Pbeansintake−gender	<0.001	0.016	0.028

OR, odds ratio; CI, confidence interval; Ref, reference.

Model 1: unadjusted.

Model 2: adjusted for age, education, marital status, average monthly individual income, smoking status, drinking status, physical activity, waist circumference, red meat, white meat, fish, milk, vegetable intake, fruit intake, energy intake, gout, and family history of gout.

Model 3: additionally adjusted for diabetes mellitus, hypertension, and dyslipidemia.

P_trend was performed using the quartile of total beans intake as a continuous variable in the logistic regression model.

P_{beansintake−gender} was performed using the interaction term, beans intake-gender, as a continuous variable in the logistic regression model.