Statistical analysisThe clinical an

Statistical analysis
The clinical and chemical characteristics of the study population were summarized. A comparison was made between men and women using a Student’s t-test for continuous variables and a Chi-square test for categorical variables. Pearson’s correlation coefficients were determined for AUDIT score versus each component of MS in men and women. The odds ratios (ORs) and 95% confidence intervals (95% CIs) for MS were calculated after adjusting for confounding variables according to each item of the AUDIT questionnaire using a multivariate logistic regression analysis. The prevalence of MS was calculated and compared according to the AUDIT score, frequency of high-risk drinking, and drinking quantity using analysis of variance (ANOVA) test in men and women. The mean AUDIT scores were calculated and compared by ANOVA test according to the number of MS components. Because alcohol consumption may affect HDL cholesterol level (Yoon et al., 2004), we also assessed the association between the mean AUDIT scores and the number of MS components except HDL cholesterol. All analyses were conducted using SPSS statistical software (version 12.0; SPSS Inc., Chicago, IL). All statistical tests were two sided and a P value of

Results (English) 2:

统计分析
研究人群的临床和实验室特点进行了总结。是使用学生的t检验男性和女性之间的连续变量和分类变量的卡方检验方法的比较。审核评分与MS在男女各成分测定的皮尔森相关系数。的比值比（OR）和95%可信区间（95% CI）MS分别计算调整后的混杂变量，根据每个项目的审核问卷，采用多元Logistic回归分析。计算和比较，根据审核评分的MS患病率，高风险的饮酒频率，采用方差分析（ANOVA）饮酒量在男性和女性的测试。这意味着审计分数进行比较的方差分析测试根据MS组分的数量。因为饮酒可能会影响高密度脂蛋白胆固醇水平（Yoon等人。，2004），我们也评估的平均得分和MS审计组件除了高密度脂蛋白胆固醇的数量之间的关联。所有分析均采用SPSS统计软件进行（版本12；SPSS公司，芝加哥，IL）。所有统计检验均为双侧，P值<0。05代表
统计意义。

Results (English) 3:

Statistical analysis
The clinical and chemical characteristics of the study population were summarized. A comparison was made between men and women using a Student’s t-test for continuous variables and a Chi-square test for categorical variables. Pearson’s correlation coefficients were determined for AUDIT score versus each component of MS in men and women. The odds ratios (ORs) and 95% confidence intervals (95% CIs) for MS were calculated after adjusting for confounding variables according to each item of the AUDIT questionnaire using a multivariate logistic regression analysis. The prevalence of MS was calculated and compared according to the AUDIT score, frequency of high-risk drinking, and drinking quantity using analysis of variance (ANOVA) test in men and women. The mean AUDIT scores were calculated and compared by ANOVA test according to the number of MS components. Because alcohol consumption may affect HDL cholesterol level (Yoon et al., 2004), we also assessed the association between the mean AUDIT scores and the number of MS components except HDL cholesterol. All analyses were conducted using SPSS statistical software (version 12.0; SPSS Inc., Chicago, IL). All statistical tests were two sided and a P value of <.05 represented statistical significance.