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Raquel Villegas, PhD; Simin Liu, MD, ScD; Yu-Tang Gao, MD; Gong Yang, MD, MPH; Honglan Li, MD; Wei Zheng, MD, PhD; Xiao Ou Shu, MD, PhD

Arch Intern Med. 2007;167(21):2310-2316.

Background  Much uncertainty exists about the role of dietary glycemic index and glycemic load in the development of type 2 diabetes mellitus, especially in populations that traditionally subsist on a diet high in carbohydrates.

Methods  We observed a cohort of 64 227 Chinese women with no history of diabetes or other chronic disease at baseline for 4.6 years. In-person interviews were conducted to collect data on dietary habits, physical activity, and other relevant information using a validated questionnaire. Incident diabetes cases were identified via in-person follow-up. Associations between dietary carbohydrate intake, glycemic index, and glycemic load and diabetes incidence were evaluated using multivariable Cox proportional hazards models.

Results  We identified 1608 incident cases of type 2 diabetes mellitus in 297 755 person-years of follow-up. Dietary carbohydrate intake and consumption of rice were positively associated with risk of developing type 2 diabetes mellitus. The multivariable-adjusted estimates of relative risk comparing the highest vs the lowest quintiles of intake were 1.28 (95% confidence interval, 1.09-1.50) for carbohydrates and 1.78 (95% confidence interval, 1.48-2.15) for rice. The relative risk for increasing quintiles of intake was 1.00, 1.04, 1.02, 1.09, and 1.21 (95% confidence interval, 1.03-1.43) for dietary glycemic index and 1.00, 1.06, 0.97, 1.23, and 1.34 (95% confidence interval, 1.13-1.58) for dietary glycemic load.

Conclusion  High intake of foods with a high glycemic index and glycemic load, especially rice, the main carbohydrate-contributing food in this population, may increase the risk of type 2 diabetes mellitus in Chinese women.

Author Affiliations: Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, Tennessee (Drs Villegas, Yang, Zheng, and Shu); Departments of Epidemiology and Medicine, University of California, Los Angeles (Dr Liu); and Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China (Drs Gao and Li).

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