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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 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.
SUBMITTER: Jaacks LM
PROVIDER: S-EPMC4369414 | biostudies-literature | 2015 Apr
REPOSITORIES: biostudies-literature
Jaacks Lindsay M LM Crandell Jamie J Mendez Michelle A MA Lamichhane Archana P AP Liu Wei W Ji Linong L Du Shufa S Rosamond Wayne W Popkin Barry M BM Mayer-Davis Elizabeth J EJ
Journal of diabetes and its complications 20141231 3
<h4>Aims</h4>To identify dietary patterns that influence cardiometabolic risk among individuals with type 1 diabetes (T1D) in China.<h4>Methods</h4>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.<h4>Results</h4>Dietar ...[more]