title: Alcohol Drinking, Dyslipidemia, and Diabetes: A Population-based Prospective Cohort Study among Inner Mongolians in China.
abstract: OBJECTIVE
  No previous studies have evaluated the association between dyslipidemia, alcohol drinking, and diabetes in an Inner Mongolian population. We aimed to evaluate the co-effects of drinking and dyslipidemia on diabetes incidence in this population.
  
  
  METHODS
  The present study was based on 1880 participants from a population-based prospective cohort study among Inner Mongolians living in China. Participants were classified into four subgroups according to their drinking status and dyslipidemia. Multivariate logistic regression analysis and receiver operating characteristic (ROC) curves were used to evaluate the association between alcohol drinking, dyslipidemia, and diabetes.
  
  
  RESULTS
  During the follow-up period, 203 participants were found to have developed diabetes. The multivariable-adjusted odds ratios (95% confidence interval) for the incidence of non-dyslipidemia/drinkers, dyslipidemia/non-drinkers, and dyslipidemia/drinkers in diabetic patients were 1.40 (0.82-2.37), 1.73 (1.17-2.55), and 2.31 (1.38-3.87), respectively, when compared with non-dyslipidemia/non-drinkers. The area under the ROC curve for a model containing dyslipidemia and drinking status along with conventional factors (AUC=0.746) was significantly (P=0.003) larger than the one containing only conventional factors (AUC=0.711).
  
  
  CONCLUSIONS
  The present study showed that dyslipidemia was an independent risk factor for diabetes, and that drinkers with dyslipidemia had the highest risk of diabetes in the Mongolian population. These findings suggest that dyslipidemia and drinking status may be valuable in predicting diabetes incidence.
authors.affiliation: Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou 215123, Jiangsu, China; KunShan Center for Disease Control And Prevention, KunShan 215300, Jiangsu, China.
authors.forename: Zhu
authors.initials: Z
authors.lastname: Liang
authors.affiliation: Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou 215123, Jiangsu, China.
authors.forename: Qiao Yan
authors.initials: QY
authors.lastname: Qiu
authors.affiliation: Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou 215123, Jiangsu, China.
authors.forename: Jia Hui
authors.initials: JH
authors.lastname: Wu
authors.affiliation: Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou 215123, Jiangsu, China.
authors.forename: Jing Wen
authors.initials: JW
authors.lastname: Zhou
authors.affiliation: Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou 215123, Jiangsu, China.
authors.forename: Tian
authors.initials: T
authors.lastname: Xu
authors.affiliation: Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou 215123, Jiangsu, China.
authors.forename: Ming Zhi
authors.initials: MZ
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou 215123, Jiangsu, China.
authors.forename: Yong Hong
authors.initials: YH
authors.lastname: Zhang
authors.affiliation: Department of Epidemiology, School of Public Health, Medical College of Soochow University, Suzhou 215123, Jiangsu, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou 215123, Jiangsu, China.
authors.forename: Shao Yan
authors.initials: SY
authors.lastname: Zhang
mesh_terms: D000328:Adult; D000428:Alcohol Drinking / Q000009:adverse effects* / Q000453:epidemiology; D002681:China / Q000453:epidemiology; D008076:Cholesterol, HDL / Q000378:metabolism; D008078:Cholesterol, LDL / Q000378:metabolism; D003920:Diabetes Mellitus / Q000453:epidemiology* / Q000209:etiology / Q000378:metabolism; D050171:Dyslipidemias / Q000150:complications* / Q000453:epidemiology; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D015994:Incidence; D008297:Male; D008875:Middle Aged; D008986:Mongolia / Q000453:epidemiology; D011446:Prospective Studies; D012372:ROC Curve; D012307:Risk Factors
chemical_list: D008076:Cholesterol, HDL; D008078:Cholesterol, LDL
keywords: Cohort study; Diabetes; Drinking; Dyslipidemia; Prospective