Unknown

Dataset Information

Addressing the pitfalls when designing intervention studies to discover and validate biomarkers of habitual dietary intake.


ABSTRACT:

Introduction

Dietary exposure monitoring within populations is reliant on self-reported measures such as Food Frequency Questionnaires and diet diaries. These methods often contain inaccurate information due to participant misreporting, non-compliance and bias. Urinary metabolites derived from individual foods could provide additional objective indicators of dietary exposure. For biomarker approaches to have utility it is essential that they cover a wide-range of commonly consumed foods and the methodology works in a real-world environment.

Objectives

To test that the methodology works in a real-world environment and to consider the impact of the major sources of likely variance; particularly complex meals, different food formulations, processing and cooking methods, as well

SUBMITTER: Lloyd AJ 

PROVIDER: S-EPMC6497620 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature