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Open Access Research article

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

He Xu123, Yiqing Song4, Nai-Chieh You5, Zuo-Feng Zhang35, Sander Greenland6, Earl S Ford7, Lin He12 and Simin Liu35*

Author Affiliations

1 Institute for Nutritional Sciences, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, China

2 Shanghai Bio-X center, Jiaotong University, Shanghai, China

3 Program on Genomics and Nutrition, Department of Epidemiology, University of California, Los Angels (UCLA), Los Angeles, CA, USA

4 Division of Preventive Medicine, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA

5 Center for Metabolic Disease Prevention and Department of Medicine, UCLA, Los Angeles, CA, USA

6 Departments of Epidemiology and Statistics, UCLA, Los Angeles, CA, USA

7 Division of Adult and Community Health, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA

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BMC Public Health 2010, 10:683  doi:10.1186/1471-2458-10-683

Published: 9 November 2010

Abstract

Background

Type 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.

Methods

From 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).

Results

Prevalence 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).

Conclusions

These 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.