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Comparison of dietary intake by 2 computerized analysis systems
Journal of the American Dietetic Association
|July 1, 1984
Summary
Different food quantification methods can impact nutrient values, particularly sucrose. Ensuring data comparability is crucial for accurate dietary analysis and identifying disease associations.
Area of Science:
- Nutritional Science
- Dietary Assessment Methodology
Background:
- Accurate quantification of food intake is essential for nutritional research.
- Variations in nutrient values can arise from different calculation procedures.
- Standard protocols aim to minimize human error in data collection.
Purpose of the Study:
- To investigate how different food quantification procedures influence nutrient value variation.
- To compare nutrient values derived from two dietary computer analysis systems.
- To assess the impact of converting gram weight to household measures on nutrient analysis.
Main Methods:
- Utilized standard Bogalusa Heart Study protocols for calculation and transcription precision.
- Converted gram weight food values (Bogalusa Heart Study) to household measures (National Cancer Institute).
- Analyzed selected nutrients using two dietary computer analysis systems.
Main Results:
- Group means for most selected nutrients were similar between the two systems.
- A notable exception was consistently lower sucrose values obtained using the National Cancer Institute system.
- Lower sucrose values in the National Cancer Institute system may be due to its carbohydrate classification rationale.
Conclusions:
- Differences in food composition databases and calculation procedures can lead to variations in nutrient values, especially for sucrose.
- Periodic comparability checks and robust quality control are essential for maintaining data integrity.
- Improving dietary data bases can enhance the ability to identify associations between diet and disease indicators.