Back

Development and Scoring of a Diet Quality Screener for Hispanic/Latino Adults Using National Health and Nutrition Examination Survey Data: The SABE Lo Que Come? Tool

Pichardo, M.; Shandar, V.; Quinn, R.; McReynolds, V.; Creasy, K. T.; Wu, G. D.; Compher, C.

2026-09-11 nutrition
10.64898/2026.09.09.26362652 medRxiv
Show abstract

Background Few dietary screeners are available for use with Hispanic/Latino adults in clinical or research settings, despite this group having a disproportionate burden of diet-related chronic disease risk amenable to nutrition intervention and counseling. We previously developed the 36-item Penn Healthy Diet (PHD) screener, which correlates with the Healthy Eating Index (HEI), and adapted it culturally and linguistically for use among Hispanic/Latino adults as the Screener of Alimentary Behaviors and Eating (SABE). Objective We aimed to develop a scoring algorithm for the SABE screener using data from Hispanic/Latino adults in the National Health and Nutrition Examination Survey (NHANES). Methods We used NHANES 2017-2018 dietary recall data from 1,126 Hispanic/Latino adults to simulate responses to SABE screener items. Using Spearman rank correlations, we examined the association between simulated SABE items and HEI-2020 components and validation using the Alternative Healthy Eating Index (AHEI)-2010. Items achieving {rho} [≥] 0.3 with any HEI-2020 component were retained in a simple scoring algorithm. A regression-weighted algorithm was then derived using ordinary least squares regression of all screener items on HEI-2020 total score. Reproducibility was evaluated in an independent validation sample of 1,633 Hispanic/Latino adults from NHANES cycle 2015-2016. Results Twelve of 24 screener items were moderately or strongly associated with HEI-2020 components, forming a simple scoring algorithm with a range of 0-60 points. The simulated SABE score was strongly correlated with HEI-2020 ({rho} [≥] = 0.73-0.74) and moderately correlated with AHEI-2010 ({rho} [≥] = 0.64-0.67). The regression-weighted algorithm improved HEI-2020 correlations ({rho} [≥] = 0.80) but not for AHEI-2010 ({rho} [≥] = 0.62-0.65). Conclusions The SABE screener is a brief and feasible dietary screener with demonstrated strong validity and reproducibility for assessing diet quality in Hispanic/Latino adults. Further validation of this screener is needed in Hispanic/Latinos subgroups of diverse heritage and acculturation level, and in real-world populations.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.