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Alcohol Drinking, Dyslipidemia, and Diabetes: A Population-based Prospective Cohort Study among Inner Mongolians in China.

Authors :
Liang Z
Qiu QY
Wu JH
Zhou JW
Xu T
Zhang MZ
Zhang YH
Zhang SY
Source :
Biomedical and environmental sciences : BES [Biomed Environ Sci] 2016 Aug; Vol. 29 (8), pp. 555-562.
Publication Year :
2016

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.<br />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.<br />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).<br />Conclusion: 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.<br /> (Copyright © 2016 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.)

Details

Language :
English
ISSN :
0895-3988
Volume :
29
Issue :
8
Database :
MEDLINE
Journal :
Biomedical and environmental sciences : BES
Publication Type :
Academic Journal
Accession number :
27660219
Full Text :
https://doi.org/10.3967/bes2016.074