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Comparison of six microcomputer dietary analysis systems with the USDA Nutrient Data Base for Standard Reference.
D C Nieman1, D E Butterworth, C N Nieman
1Department of Health, Leisure, and Exercise Science, Appalachian State University, Boone, NC 28608.
Journal of the American Dietetic Association
|January 1, 1992
Summary
Choosing a microcomputer dietary analysis system requires careful consideration. These systems vary significantly in features, data accuracy, and ease of use, impacting nutritional analysis reliability.
Area of Science:
- Nutrition Science
- Computational Nutrition
- Dietary Assessment Technology
Background:
- Microcomputer-based dietary analysis systems are widely used by professionals for nutritional assessment.
- Variability in these systems' features and nutrient databases can impact data accuracy.
- Standardization and comparison with a reliable reference database are crucial for evaluating system performance.
Purpose of the Study:
- To compare the operational features and nutrient databases of six microcomputer dietary analysis systems.
- To evaluate the accuracy of these systems against the US Department of Agriculture Nutrient Data Base for Standard Reference (USDA NDB).
- To identify key factors contributing to discrepancies in nutrient analysis among different software programs.
Main Methods:
- A 3-day food record comprising 73 food items was analyzed using six different microcomputer dietary analysis systems.
- Nutrient averages generated by each system were compared against the full version of the USDA NDB (release 9).
- Key performance indicators including cost, database size, data sources, missing value imputation, output options, analysis time, and ease of use were assessed.
Main Results:
- Significant variations were observed across the six systems in cost, database scope, data imputation methods, and user-friendliness.
- All systems maintained results within 7% of the USDA NDB for energy, protein, total fat, and carbohydrates.
- Substantial discrepancies (over 15% variance from USDA NDB) were noted for other nutrients, influenced by database food item inclusion, data recency, and handling of missing values.
Conclusions:
- Microcomputer dietary analysis systems exhibit considerable differences in their operational features and nutrient data accuracy.
- Discrepancies in nutrient values arise from variations in food item databases, data updates, and imputation strategies for missing information.
- Dietitians must carefully select a dietary analysis system that aligns with their specific needs and ensures reliable nutritional assessment.