A new study published in PLOS Medicine demonstrates that analyzing metabolites in urine and blood can effectively measure dietary intake of ultra-processed foods. This method provides a more reliable alternative to traditional self-reporting dietary assessments, which often lead to errors. Researchers examined samples from 718 individuals, correlating their reported food intake with over 1,000 metabolites produced during food metabolism. This objective measurement could have significant implications for investigating associations between ultra-processed food consumption and diseases like diabetes and cancer.
Molecules in urine and blood can objectively reveal the proportion of a person's diet derived from ultra-processed foods, potentially linking consumption to diseases.
This work is crucial because traditional dietary assessments rely on self-reporting, which can introduce considerable measurement errors in food consumption data.
Collection
[
|
...
]