Objective To explore the impact of alcohol use disorder （AUD） family history on male risk drinking behaviors and prevalence of AUD. Methods A total of 1 379 male staff from 10 companies in Gaocheng District， Shijiazhuang， Hebei Province were recruited from January to December 2016 by stratified random sampling method. All the research subjects were divided into positive family history （PFH） group （n=452） and no family history （NFH） group （n=927）. The general demographic characteristics and alcohol use were investigated by self-made questionnaire and self-report. The Alcohol Use Disorders Identification Test （AUDIT） and the Alcohol Dependence Scale （ADS） were used to evaluate the subjects' drinking risk level and alcohol dependence degree respectively. The fourth edition of Diagnostic and Statistical Manual of Mental Disorders （DSM- Ⅳ） was used to diagnose alcohol dependence and alcohol abuse. Self-rating Depression Scale， Selfrating Anxiety Scale and Pittsburgh Sleep Quality Index were used to evaluate the subjects' depression， anxiety and sleep. Multivariate Logistic regression was used to analyze the risk factors of AUD. Results The age of first drinking in PFH group was lower than that in NFH group， and the difference was statistically significant （t=2.519，P ＜ 0.05）. The prevalence of regular drinking， drinking alone， drinking on an empty stomach， drinking quickly， drinking sullenly， drinking more than six days a week in recent one year， drinking moderate Baijiu， drinking heavily， getting drunk after drinking and binge drinking of PFH group was higher than that of NFH group， and the differences were statistically significant （χ2 =50.930，11.856，19.165，26.808，11.809， 49.897，39.483，19.534，63.310，21.643；P＜ 0.01）. The prevalence of high risk drinking， alcohol dependence and AUD of PFH group was higher than that of NFH group ［56.9%（257/452） vs 34.1%（316/927）， 14.4% （65/452） vs 6.8%（63/927）， 52.0% （235/452） vs 30.5%（283/927）］， and the differences were statistically significant （χ2 =64.866，20.757，59.678；P＜ 0.01）. Multiple Logistic regression analysis showed that after controlling for age， education level， occupation， and other factors， having family history of AUD was the risk factor of AUD prevalence of male staff （OR=1.838， 95%CI=1.430-2.364）. Conclusions Individuals with family history of AUD are more likely to develop bad drinking behavior. Family history of AUD is an independent risk factor for the occurrence of AUD.