Abstract 9748: Validation of a Brief Dietary Questionnaire for Use in Clinical Practice: Mini-EAT TM

Introduction: Limited validated rapid dietary screening tools are available for patient use for actionable goal setting to improve health and reduce cardiovascular risk. The Healthy Index (HEI) Score measures compliance with the 2015-2020 Dietary Guidelines for Americans but requires completion of an extensive food frequency questionnaire (FFQ) to compute, which is time consuming and impractical. Hypothesis: A 19-item dietary survey that assesses consumption of common food groups known to affect health is correlated to the gold standard FFQ and HEI score and can be further reduced without affecting validity. Methods: An evidence-based 19-item Eating Assessment Tool (EAT™) of common food groups was created through literature review and expert consensus. We then conducted a cross-sectional survey of adult patients from a preventive cardiology clinic or cardiac rehabilitation and of healthy volunteers (n=628, mean age= 37 y, 76% women). Participants completed an online 156-item FFQ which was used to calculate the HEI score using standard methods. The association between each EAT™ question and HEI score category was analyzed by Kruskal-Walis test. Linear regression models were used to identify univariable and multivariable predictors for HEI score. The final model of Mini-EAT™ was validated by 5-fold cross validation. Results: The 19-item EAT™ had good correlation with the HEI (r=0.77) and was subsequently reduced to the 8 items independently predictive of the HEI score: fruits, vegetables, whole grains, refined grains, legumes/nuts/seeds, low-fat dairy, high-fat dairy, and sweets consumption, without affecting the predictive ability of the tool (r=0.76). Conclusions: Mini-EAT™ is an 8-item validated brief dietary screener that correlates well with a comprehensive FFQ. Future studies to test the Mini-EAT™’s validity in diverse populations and for development of clinical decision support systems to capture changes over time are needed.