Edwina Wambogo

MS, MPH, RD, PhD candidate

National Institutes of Health

Cancer Research Training Award Fellow

IDATA (Learn more about this study)

IDATA-26

Sep 10, 2018

Comparative analysis of scoring methods for the Healthy Eating Index-2015 across three dietary assessment instruments in IDATA

Since foods are consumed as components of meals, instead of single, or isolated nutrients, there has been considerable interest in investigations of dietary patterns and diet quality. Methods to determine dietary patterns include the use of diet indexes or scores that assess compliance with prevailing dietary guidance, such as the Healthy Eating Index (HEI)-2015. Dietary pattern analyses evaluate total dietary intakes of individuals or populations for the purpose of investigating differences by respondent characteristics and associations with health outcomes. We propose a data analyses of IDATA for an in-depth examination of dietary patterns, using the HEI-2015. We will use the Automated Self-Administered 24-hour dietary recalls (ASA24s), the Dietary History Questionnaire II (DHQ II), and the 4-Day Food Record (4DFRs) for these analyses. These instruments have distinct features as well as strengths and limitations. Two of the instruments capture detailed short-term dietary data (ASA24 and 4DFRs), while the DHQ II collects more long-term data (intake over the past year). We propose to compare the means and distributions for the HEI-2015 scores by scoring method (two simple methods, population ratio, bivariate and MCMC) as appropriate for each dietary assessment tool. We will also examine the HEI-2015 scores by other demographic or related dietary intake factors (such as age, BMI, weekend/weekday) available in the IDATA study.