Lindsay M Jaacks1, Jamie Crandell2, Michelle A Mendez3, Archana P Lamichhane4, Wei Liu5, Linong Ji6, Shufa Du7, Wayne Rosamond8, Barry M Popkin9, Elizabeth J Mayer-Davis10. 1. Department of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: ljaacks@emory.edu. 2. Department of Biostatistics, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: jbigelow@email.unc.edu. 3. Department of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: mmendez@email.unc.edu. 4. Department of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: lamichha@email.unc.edu. 5. Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China. Electronic address: liuwei850217@163.com. 6. Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China. Electronic address: jiln@bjmu.edu.cn. 7. Department of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: dushufa@email.unc.edu. 8. Department of Epidemiology, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: wayne_rosamond@unc.edu. 9. Department of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: popkin@unc.edu. 10. Department of Nutrition, The University of North Carolina, Chapel Hill, NC, United States. Electronic address: ejmayer_davis@unc.edu.
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.
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.
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