Volume 29 Issue 8
Aug.  2016
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LIANG Zhu, QIU Qiao Yan, WU Jia Hui, ZHOU Jing Wen, XU Tian, ZHANG Ming Zhi, ZHANG Yong Hong, ZHANG Shao Yan. Alcohol Drinking, Dyslipidemia, and Diabetes:A Population-based Prospective Cohort Study among Inner Mongolians in China[J]. Biomedical and Environmental Sciences, 2016, 29(8): 555-562. doi: 10.3967/bes2016.074
Citation: LIANG Zhu, QIU Qiao Yan, WU Jia Hui, ZHOU Jing Wen, XU Tian, ZHANG Ming Zhi, ZHANG Yong Hong, ZHANG Shao Yan. Alcohol Drinking, Dyslipidemia, and Diabetes:A Population-based Prospective Cohort Study among Inner Mongolians in China[J]. Biomedical and Environmental Sciences, 2016, 29(8): 555-562. doi: 10.3967/bes2016.074

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

doi: 10.3967/bes2016.074
Funds:  This study was supported by Youth Found ofthe National Natural Science Foundation of China(Grant 81102190)%partialy supported by a Project of the Priority Academic Program Development of Jiangsu Higher Education Institutions, China
  • 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 curvefor 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.
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Alcohol Drinking, Dyslipidemia, and Diabetes:A Population-based Prospective Cohort Study among Inner Mongolians in China

doi: 10.3967/bes2016.074
Funds:  This study was supported by Youth Found ofthe National Natural Science Foundation of China(Grant 81102190)%partialy supported by a Project of the Priority Academic Program Development of Jiangsu Higher Education Institutions, China

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 curvefor 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.

LIANG Zhu, QIU Qiao Yan, WU Jia Hui, ZHOU Jing Wen, XU Tian, ZHANG Ming Zhi, ZHANG Yong Hong, ZHANG Shao Yan. Alcohol Drinking, Dyslipidemia, and Diabetes:A Population-based Prospective Cohort Study among Inner Mongolians in China[J]. Biomedical and Environmental Sciences, 2016, 29(8): 555-562. doi: 10.3967/bes2016.074
Citation: LIANG Zhu, QIU Qiao Yan, WU Jia Hui, ZHOU Jing Wen, XU Tian, ZHANG Ming Zhi, ZHANG Yong Hong, ZHANG Shao Yan. Alcohol Drinking, Dyslipidemia, and Diabetes:A Population-based Prospective Cohort Study among Inner Mongolians in China[J]. Biomedical and Environmental Sciences, 2016, 29(8): 555-562. doi: 10.3967/bes2016.074

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