Document Detail


Association between alcohol consumption and metabolic syndrome in 19,215 middle-aged and elderly Chinese.
MedLine Citation:
PMID:  21458874     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
AIMS: To assess the association of alcohol consumption with metabolic syndrome (Mets) in a Chinese population. METHODS: A community-based cross-sectional study was performed in 19,215 participants aged 40 years or over in Shanghai of China during June 2008-April 2009. Information about the alcohol consumption including quantity and type of alcoholic beverage was obtained using a standard questionnaire. Physical examination was performed and fasting blood samples were obtained for the measurements of biochemical indicators. RESULTS: In male wine-only consumers, after adjusted for age, sex, BMI, education levels, exercise and smoking habit, severe alcohol consumption (≥50.0g/d), compared with non-alcohol consumption, conferred 53% increased risk of having MetS. In women, alcohol consumption did not have relation to the prevalence of Mets. In the beer-only, liquor-only and mixed type consumers, no significant associations between MetS or its components and the quantity of alcohol consumption were detected. CONCLUSIONS: Our findings suggest that excessive wine consumption (alcohol ≥50.0g/d) is associated with higher prevalence of MetS in Chinese men.
Authors:
Lina Jin; Yun Huang; Yufang Bi; Liebin Zhao; Min Xu; Yu Xu; Yuhong Chen; Lina Gu; Meng Dai; Yaohua Wu; Jianing Hou; Xiaoying Li; Guang Ning
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-3-31
Journal Detail:
Title:  Diabetes research and clinical practice     Volume:  -     ISSN:  1872-8227     ISO Abbreviation:  -     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-4-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8508335     Medline TA:  Diabetes Res Clin Pract     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
Affiliation:
Laboratory of Endocrinology and Metabolism, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai Jiao-Tong University School of Medicine, Shanghai, China.
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