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ABSTRACT: 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 t
SUBMITTER: Jaacks LM
PROVIDER: S-EPMC4369414 | biostudies-literature | 2015 Apr
REPOSITORIES: biostudies-literature