Reliance on self-reports and estimated food composition data in nutrition research introduces significant bias that can only be addressed with biomarkers
J. I. Ottaviani, V. Sagi-Kiss, H. Schroeter, G. G. C. Kuhnle
The paper highlights how reliance on self-reported and estimated food data in nutrition research introduces significant bias, and argues for the use of biomarkers to improve accuracy.
bioRxiv · Oct 26, 2023Physiology