(Hitachi 7350) by the uricase method.
Statistical analysisFor statistical analysis, we took two steps. First, logistic regression analysis was performed to assess the relationship between alcohol intake and high serum uric acid level. Odds ratios were calculated from a multivariate models adjusted for age, BMI, intake of snacks, and smoking habits. In this analyses, among 715 subjects, cases were subjects whose serum uric acid levels were 7.0+ mg/dL (n=183) because hyperuricemia is defined as a serum uric acid level of 7.0 mg/dL or higher, without regard to sex or age, by the Japanese Society of Gout and Nucleic Acid Metabolism.29 Controls were subjects whose serum uric acid levels were less than 6.0 mg/dL (n=328) because the Japanese Society of Gout and Nucleic Acid Metabolism recommended to control the serum uric acid level less than 6.0mg/dL. 29 Second, we investigated the relationships between the alcoholic beverage type and high serum uric acid levels. Logistic regression analysis was also performed to adjust the effects of age, alcohol intake, BMI, intake of snacks, and smoking habits. In these analyses, among 385 subjects who were regular drinkers and identified one main alcoholic beverage consumed, cases were subjects whose serum uric acid levels were also 7.0+ mg/dL (n=121) and controls were subjects whose serum uric acid levels were less than 6.0 mg/dL (n=148). All data were analyzed with SPSS ® Base 11.5J for Windows (SPSS Inc., Chicago, IL, USA).