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Updated: Jul 16, 2026
04:46
'Boden Food Plate': Novel Interactive Web-based Method for the Assessment of Dietary Intake
Published on: September 18, 2018
[Use of linear regression for correction of dietary data]
Betzabeth Slater1, Dirce Maria Lobo Marchioni, Silvia Maria Voci
1Departamento de Nutrição, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP, Brazil.
Revista De Saude Publica
|March 27, 2007
Summary
This study corrected dietary intake data in adolescents using a measurement error strategy. The corrected values closely matched reference data, improving accuracy for nutritional research.
Area of Science:
- Nutrition Science
- Biostatistics
Context:
- Dietary intake data collection is prone to measurement error.
- Accurate dietary assessment is crucial for understanding nutritional status and health outcomes.
- Adolescents in São Paulo, Brazil, were the study population.
Purpose:
- To apply a statistical strategy for correcting dietary intake data based on measurement error.
- To evaluate the effectiveness of a linear regression approach for data correction.
Summary:
- Food Frequency Questionnaires (FFQ) data from 79 adolescents were energy-adjusted using the residual method.
- Dietary intake data were corrected using linear regression, with 24-hour dietary recalls as the reference method.
- Correction factors were derived for energy (gamma=0.89), carbohydrates (0.22), lipids (0.20), and proteins (0.20).
Impact:
- The applied correction strategy yielded results similar to reference values, indicating successful error mitigation.
- Corrected data provide a more accurate representation of adolescent nutrient intake.
- Highlights the importance of addressing measurement error in self-reported dietary data for improved research validity.
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