Statistical Techniques for Evaluating Nutrient Intake and Metabolism

Abstract

Nutrient intake and metabolism play pivotal roles in human health, influencing various physiological processes and contributing to the risk of chronic diseases. Accurate assessment and analysis of nutrient intake and metabolism data are essential for understanding their implications for health and disease. We discuss methods for analyzing dietary intake data. Additionally, we highlight challenges and considerations in applying these statistical techniques and suggest best practices for researchers in the field of nutrition and metabolism. We aimed to conduct a review to identify the tests and interpretation criteria used where dietary assessment methods were validated against a reference method and illustrate the value of and challenges that arise in the interpretation of outcomes of multiple statistical tests in the assessment of validity using a test data set.