Mixed
Poly-metabolite scores derived from blood and urine metabolomics can objectively quantify ultra-processed food (UPF) intake, serving as a valid alternative to self-reported dietary assessments.
If you want to accurately track your ultra-processed food intake without relying on memory or self-reporting bias, emerging metabolomic scores offer a precise biological alternative. While currently a research tool, these scores objectively reflect your actual UPF consumption by analyzing specific metabolites in blood and urine, bypassing the common errors of dietary surveys.
Poly-metabolite scores, developed in IDATA participants with varying diets, are predictive of UPF intake and could advance epidemiological research on UPF and health.
Why this rating
Strong observational data (n=718) validated by a controlled crossover feeding trial (n=20), though the validation sample size is small.
Source
Identification and validation of poly-metabolite scores for diets high in ultra-processed food: An observational study and post-hoc randomized controlled crossover-feeding trial
Leila Abar et al. · PLoS Medicine · 2025
DOI 10.1371/journal.pmed.1004560
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