Alcohol Drinking, Dyslipidemia, and Diabetes: A Population-based Prospective Cohort Study among Inner Mongolians in China.
- Author:
Zhu LIANG
1
,
2
;
Qiao Yan QIU
3
;
Jia Hui WU
3
;
Jing Wen ZHOU
3
;
Tian XU
3
;
Ming Zhi ZHANG
1
;
Yong Hong ZHANG
1
;
Shao Yan ZHANG
1
;
Author Information
- Publication Type:Journal Article
- Keywords: Cohort study; Diabetes; Drinking; Dyslipidemia; Prospective
- MeSH: Adult; Alcohol Drinking; adverse effects; epidemiology; China; epidemiology; Cholesterol, HDL; metabolism; Cholesterol, LDL; metabolism; Diabetes Mellitus; epidemiology; etiology; metabolism; Dyslipidemias; complications; epidemiology; Female; Follow-Up Studies; Humans; Incidence; Male; Middle Aged; Mongolia; epidemiology; Prospective Studies; ROC Curve; Risk Factors
- From: Biomedical and Environmental Sciences 2016;29(8):555-562
- CountryChina
- Language:English
-
Abstract:
OBJECTIVENo 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.
METHODSThe 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.
RESULTSDuring 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).
CONCLUSIONThe 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.