Prevalence and clustering of metabolic risk factors for type 2 diabetes among Chinese adults in Shanghai, China

BMC Public Health

Research Article

Nai-Chieh You¹  Sander Greenland²  Earl S Ford³  Yiqing Song⁴  Lin He⁵  He Xu⁶  Simin Liu⁷  Zuo-Feng Zhang⁷ 

[1] Center for Metabolic Disease Prevention and Department of Medicine, UCLA, Los Angeles, CA, USA;Departments of Epidemiology and Statistics, UCLA, Los Angeles, CA, USA;Division of Adult and Community Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA;Division of Preventive Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA;Institute for Nutritional Sciences, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China;Shanghai Bio-X center, Jiaotong University, Shanghai, China;Institute for Nutritional Sciences, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China;Shanghai Bio-X center, Jiaotong University, Shanghai, China;Program on Genomics and Nutrition, Department of Epidemiology, University of California, Los Angels (UCLA), Los Angeles, CA, USA;Program on Genomics and Nutrition, Department of Epidemiology, University of California, Los Angels (UCLA), Los Angeles, CA, USA;Center for Metabolic Disease Prevention and Department of Medicine, UCLA, Los Angeles, CA, USA;

关键词: Metabolic Syndrome;    Waist Circumference;    Food Frequency Questionnaire;    Central Obesity;    Impaired Fasting Glucose;   

DOI  :  10.1186/1471-2458-10-683

 received in 2010-04-01, accepted in 2010-11-09,  发布年份 2010

来源: Springer

【 摘 要 】

BackgroundType 2 diabetes is becoming an epidemic in China. To evaluate the prevalence, clustering of metabolic risk factors and their impact on type 2 diabetes, we conducted a population-based study in Shanghai, China's largest metropolitan area.MethodsFrom 2006 to 2007, 2,113 type 2 diabetes cases and 2,458 comparable controls of adults aged 40 to 79 years were enrolled. Demographic, lifestyle, and dietary factors were assessed via standardized questionnaires. Plasma, red and white blood cells were collected and stored for future studies. Anthropometric indices and biochemical intermediates (including blood pressure, fasting glucose, glycosylated hemoglobin, and blood lipids) were measured. The prevalence of metabolic syndrome were also compared following two criteria recommended by the Chinese Diabetes Society (CDS, 2004) and the National Cholesterol Education Program's Adult Treatment Panel III (ATP III, 2002).ResultsPrevalence of metabolic syndrome (62% vs. 15% using CDS criteria) and its individual components, including obesity (51% vs. 42%), hypertension (54% vs. 41%), hypertriglyceridemia (42% vs. 32%), and low high-density lipoprotein-cholesterol (HDL) levels (36% vs. 25%) were higher in diabetes cases than controls. Regardless of criteria used, those with impaired fasting glucose (IFG) had similarly high prevalence of metabolic syndrome as did diabetes cases. In a multiple logistic regression model adjusted for demographics and lifestyle risk factors, the odds ratios of diabetes (95% CI) were 1.23 (1.04-1.45) for overweight (28 >= BMI >= 24), 1.81 (1.45-2.25) for obesity (BMI > 28), 1.53 (1.30-1.80) for central obesity (waist circumference > 80 cm for woman or waist circumference > 85 cm for man), 1.36 (1.17-1.59) for hypertension (sbp/dbp >= 140/90 mmHg), 1.55 (1.32-1.82) for high triglycerides (triglycerides > 1.70 mmol/l) and 1.52 (1.23-1.79) for low HDL-C (HDL-C < 1.04 mmol/L).ConclusionsThese data indicate that multiple metabolic risk factors--individually or jointly--were more prevalent in diabetes patients than in controls. Further research will examine hypotheses concerning the high prevalence of IFG, family history, and central obesity, aiding development of multifaceted preventive strategies specific to this population.

【 授权许可】

Unknown   
© Xu et al; licensee BioMed Central Ltd. 2010. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.