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Correlates of Medical Nutrition Therapy and Cardiovascular Outcomes in Youth With Type 1 Diabetes

Author:
The, Natalie S., Crandell, Jamie L., Thomas, Joan, Couch, Sarah C., Shah, Amy S., Maahs, David M., Dabelea, Dana, Marcovina, Santica M., D’Agostino, Ralph B., Mayer-Davis, Elizabeth J.
Source:
Journal of nutrition education and behavior 2013 v.45 no.6 pp. 661-668
ISSN:
1499-4046
Subject:
Whites, cross-sectional studies, diet therapy, glycohemoglobin, higher education, insulin-dependent diabetes mellitus, linear models, minorities (people), multivariate analysis, nutrition knowledge, overweight, parents, risk factors, secondary education, sociodemographic characteristics, triacylglycerols, underweight, youth
Abstract:
To examine whether the types of medical nutrition therapies (MNTs) taught to and used by youth with type 1 diabetes (T1D) vary by sociodemographic characteristics and cardiovascular (CVD) risk factors.Cross-sectional study.The SEARCH for Diabetes in Youth study is a population-based cohort of individuals with clinical diagnosed diabetes.A total of 1,191 individuals with T1D.Types of MNTs and frequency of use.Bivariate analysis and multivariate linear regression (P < .05)More race/ethnic minorities (vs whites), individuals with parents with less than a high school education (vs high school or higher education), and overweight/obese (vs underweight/normal weight) were taught additional MNTs. For underweight/normal weight individuals exclusively taught carbohydrate counting, those who used this approach “often” had lower hemoglobin A1c (8.6% vs 8.9%) and triglycerides (73.5 vs 84.1 mg/dL) than those who used it “sometimes/never.” “Often” use of additional MNTs beyond carbohydrate counting was not associated with better mean values for CVD risk factors.In individuals with T1D, race/ethnic minorities, individuals with parents with less than a high school education, and overweight/obese individuals are taught more MNTs. Further research is needed to understand the effectiveness of the various MNTs on CVD risk factors, and to identify how to translate nutrition knowledge to behavior and metabolic status.
Agid:
613126