Objective To investigate the correlation between alcohol use and metabolic syndrome （MetS） in male workers. Methods By a cross-sectional research method， from January to December 2016， a random survey of 1 267 male workers in Gaocheng District， Shijiazhuang City， Hebei Province was conducted. According to the MetS diagnostic criteria specified in the 2016 Chinese Adult Dyslipidemia Prevention and Control Guidelines， subjects were divided into the MetS group and the non-MetS group. The general demographic characteristics， alcohol use were collected. The body mass， height， waist， blood pressure， blood lipids and fasting plasma glucose were assessed and recorded. Results The prevalence of MetS among male workers was 14.13% （179 cases）. The age of the MetS group was significantly higher than that of the non-MetS group ［（39.74±10.73） vs （35.44±9.93）， t=-5.03， P ＜ 0.01］. The differences of marital status （χ2 =9.05， P=0.01） and current residence （χ2 =8.12， P ＜ 0.01） were statistically significant between two groups. There were no significant difference on education level （Z=3.60， P=0.06）， industrial structure （χ2 =1.38， P=0.24） and smoking history （χ2 =0.48， P=0.79） between two groups. The drinking time ［（17.62±9.72） years vs （13.59±8.96） years， t=-4.82］， frequency ［4.00 （4.00，12.00） times/month vs 4.00 （1.00，4.00） times/month， Z=11.06］ and alcohol consumption ［5.40 （2.00，9.00） standard cup/day vs 4.00 （2.00，6.00） standard cup/day， Z=4.05］ of the MetS group were higher than those of the non-MetS group. The types of alcohol （χ2 =14.21） and alcohol use classification （χ2 =22.60） were statistically significant between two groups （P ＜ 0.01）. There were no statistically significant differences in proportion of excessive drinking （χ2 =3.68， P=0.06） and family history of alcohol use disorders （χ2 =0.57， P=0.45） between two groups. The results of multivariate Logistic regression analysis showed that age （OR=1.03， P ＜ 0.01） and alcohol dependence （OR=2.36， P=0.01） were positively correlated with MetS. Conclusions Age and alcohol dependence are risk factors for metabolic syndrome in male workers.