Associations of dietary intake patterns identified using reduced rank regression with markers of arterial stiffness among youth with type 1 diabetes
Published Date:May 28 2014
Source:Eur J Clin Nutr. 68(12):1327-1333.
Pubmed Central ID:PMC4247344
Funding:DP-05-069/DP/NCCDPHP CDC HHS/United States
DP-10-001/DP/NCCDPHP CDC HHS/United States
M01 RR000069/RR/NCRR NIH HHS/United States
P30 DK057516/DK/NIDDK NIH HHS/United States
R01 DK 077949/DK/NIDDK NIH HHS/United States
R01 DK077949/DK/NIDDK NIH HHS/United States
R01 DK078542/DK/NIDDK NIH HHS/United States
R01 ES 019168/ES/NIEHS NIH HHS/United States
R01 ES019168/ES/NIEHS NIH HHS/United States
R01DK078542/DK/NIDDK NIH HHS/United States
UL1 RR025014/RR/NCRR NIH HHS/United States
UL1 RR026314/RR/NCRR NIH HHS/United States
UL1 RR029882/RR/NCRR NIH HHS/United States
UL1 TR000423/TR/NCATS NIH HHS/United States
Youth with type 1 diabetes (T1DM) are at substantially increased risk for adverse vascular outcomes, but little is known about the influence of dietary behavior on cardiovascular disease (CVD) risk profile. We aimed to identify dietary intake patterns associated with CVD risk factors and evaluate their impact on arterial stiffness (AS) measures collected thereafter in a cohort of youth with T1DM.
Baseline diet data from a food frequency questionnaire and CVD risk factors (triglycerides, LDL-cholesterol, systolic BP, HbA1c, C-reactive protein and waist circumference) were available for 1,153 youth aged ≥10 years with T1DM from the SEARCH for Diabetes in Youth Study. A dietary intake pattern was identified using 33 food-groups as predictors and six CVD risk factors as responses in reduced rank regression (RRR) analysis. Associations of this RRR-derived dietary pattern with AS measures [augmentation index(AIx75), n=229; pulse wave velocity(PWV), n=237; and brachial distensibility(BrachD), n=228] were then assessed using linear regression.
The RRR-derived pattern was characterized by high intakes of sugar-sweetened beverages (SSB) and diet soda, eggs, potatoes and high-fat meats, and low intakes of sweets/desserts and low-fat dairy; major contributors were SSB and diet soda. This pattern captured the largest variability in adverse CVD risk profile and was subsequently associated with AIx75 (β=0.47; p<0.01). The mean difference in AIx75 concentration between the highest and the lowest dietary pattern quartiles was 4.3% in fully adjusted model.
Intervention strategies to reduce consumption of unhealthful foods and beverages among youth with T1DM may significantly improve CVD risk profile and ultimately reduce the risk for AS.
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