Comparing Diet Quality Indices for Low-Income 24-Month-Old Toddlers: Exploring Changes Driven by 2020-2025 Dietary...

Accurate assessment of toddler diet quality is essential for understanding current intakes and evaluating the effect of interventions and programs to promote healthy eating and prevent chronic disease.

The goal of this article was to assess the diet quality among toddlers using two different indices appropriate for 24-mo-old toddlers and compare differences in scoring between the measures by race and Hispanic origin.

We used cross-sectional data from 24-mo-old toddlers participating in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) Infant and Toddler Feeding Practices Study-2 (ITFPS-2), a national study that includes 24-hour dietary recall information from children enrolled in WIC at birth. The main outcome measure was diet quality using both the toddler diet quality index (TDQI) and the healthy eating index (HEI)-2015. We derived mean scores for overall diet quality and for each component. We examined associations between the distribution of diet quality scores across terciles and by race and Hispanic origin using Rao-Scott chi-square tests of association.

Nearly half of the mothers and caregivers self-identified as Hispanic (49%). Diet quality scores were higher when using the HEI-2015 compared with the TDQI (56.4 vs. 49.9, respectively). The difference in component scores was largest for refined grains, followed by sodium, added sugars, and dairy. Toddlers from Hispanic mothers and caregivers had significantly higher component scores for greens and beans and dairy but had lower scores for whole grains (P < 0.05) than those for the other racial and ethnic subgroups assessed.

We found noteworthy differences in toddler diet quality depending on whether the HEI-2015 or TDQI is used, and children of different racial and ethnic subgroups may be differentially classified as having high or low diet quality depending on which index is used. This may have important implications for understanding which populations are at risk of future diet-related diseases.