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Nutritional biomarkers for objective dietary assessment
1Department of Food and Nutritional Sciences, University of Reading, Reading RG6 6 AH, UK. g.g.kuhnle@reading.ac.uk
Journal of the Science of Food and Agriculture
|February 22, 2012
Summary
Accurate dietary assessment is crucial for understanding diet-disease links. Nutritional biomarkers offer a bias-free alternative to self-reporting, but require validation to address their limitations.
Area of Science:
- Nutritional epidemiology
- Biomarker research
- Dietary assessment methods
Background:
- Accurate dietary exposure assessment is vital for nutritional epidemiology and understanding diet-disease relationships.
- Traditional dietary assessment methods, often relying on self-reporting, are susceptible to systematic biases.
- Nutritional biomarkers provide an objective measure of intake, unaffected by self-reporting biases.
Purpose of the Study:
- To discuss the validation criteria for nutritional biomarkers.
- To highlight the strengths and limitations of nutritional biomarkers in dietary assessment.
- To explore future developments in the field of nutritional biomarker validation.
Main Methods:
- This paper is a perspective review, discussing existing literature and expert opinion.
- It focuses on the principles and criteria for validating nutritional biomarkers.
- It examines the challenges and opportunities in applying biomarkers for dietary exposure assessment.
Main Results:
- Self-reported dietary data can be biased by factors like age, gender, and social desirability.
- Nutritional biomarkers are less prone to reporting bias but are influenced by inter-individual metabolic variations.
- Biomarkers often quantify specific nutrient intake rather than overall dietary patterns.
Conclusions:
- Validation is essential to establish the reliability and appropriate use of nutritional biomarkers.
- Combining self-reported data with biomarker analysis offers a more comprehensive approach to dietary assessment.
- Further research is needed to refine biomarker validation techniques and expand their application in epidemiology.
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