Dietary patterns associated with HbA1c and LDL cholesterol among individuals with type 1 diabetes in China
AIMS: To identify dietary patterns that influence cardiometabolic risk among individuals with type 1 diabetes (T1D) in China.
METHODS: Data are from a cross-sectional study of T1D in China (n=99). Dietary intake was assessed using three 24-hour recalls. Reduced rank regression was used to identify dietary patterns from a set of 20 food groups that maximized the explained variation in glycated hemoglobin A1c (HbA1c) and low-density lipoprotein (LDL) cholesterol.
RESULTS: Dietary pattern 1 was characterized by low intakes of wheat products and high-fat cakes, and high intakes of beans and pickled vegetables. Dietary pattern 2 was characterized by low intakes of high-fat cakes, nuts/seeds, fish/shellfish, and teas/coffee, and high intakes of rice and eggs. Participants in the highest tertile of dietary pattern 1 had significantly (p<0.05) higher HbA1c and LDL cholesterol compared to participants in the lowest tertile: mean difference in HbA1c was 1.0 percentage point (11 mmol/mol) and in LDL cholesterol was 0.36 mmol/L after adjustment for age and household income. Dietary pattern 2 was not associated with HbA1c or LDL cholesterol.
CONCLUSIONS: We identified a dietary pattern that is significantly related to HbA1c and LDL cholesterol. These findings provide support for behavioral strategies to prevent complications in individuals with T1D in China.
Jaacks, L. M., Crandell, J. L., Mendez, M. A., Lamichhane, A. P., Liu, W., Ji, L., ... Mayer-Davis, E. J. (2015). Dietary patterns associated with HbA1c and LDL cholesterol among individuals with type 1 diabetes in China. Journal of Diabetes and its Complications, 29(3), 343-9. https://doi.org/10.1016/j.jdiacomp.2014.12.014