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Misreporting in nutritional surveys: methodological implications.
Itandehui Castro-Quezada1, Cristina Ruano-Rodríguez2, Lourdes Ribas-Barba3
1Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Spain..
Nutricion Hospitalaria
|February 27, 2015
Summary
Dietary assessment reliability is compromised by underreporting of food intake, influenced by factors like BMI and dieting. Addressing this bias is crucial for accurate nutritional studies and understanding diet-disease links.
Area of Science:
- Nutrition Science
- Epidemiology
- Dietary Assessment Methods
Background:
- Dietary assessment reliability is challenged by various factors, notably misreporting of food intake.
- Underreporting of energy intake is a significant issue in assessing habitual food consumption.
- Factors influencing underreporting include physical (sex, age, weight, BMI) and psychosocial (fear of negative evaluation, dieting) characteristics.
Purpose of the Study:
- To highlight the impact of underreporting on dietary assessment accuracy.
- To emphasize the need for methods to address and minimize underreporting bias in research.
- To underscore the importance of underreporting in nutritional and epidemiological studies.
Main Methods:
- Review of factors contributing to dietary misreporting, specifically underreporting.
- Discussion of reference methods for verifying dietary intake data, including the gold standard, doubly labeled water.
- Exploration of the consequences of underreporting on nutrient intake estimation and diet-disease associations.
Main Results:
- Underreporting is a major source of error in dietary assessment.
- Physical and psychosocial factors are associated with energy underreporting.
- Underreporting distorts nutrient intake estimates and weakens observed diet-disease relationships.
Conclusions:
- Underreporting significantly impacts the reliability of dietary intake data and subsequent research findings.
- Researchers must develop and improve methods to adjust for underreporting bias.
- Leveraging new technologies in dietary assessment is essential to minimize underreporting bias and enhance data accuracy.
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