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Comparison of eight microcomputer dietary analysis programs with the USDA Nutrient Data Base for Standard Reference

R D Lee1, D C Nieman, M Rainwater

  • 1Department of Human Environmental Studies, Central Michigan University, Mt Pleasant 48859, USA.

Journal of the American Dietetic Association
|August 1, 1995
PubMed
Summary
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Choosing the right microcomputer dietary analysis program is crucial. These software tools vary in features, nutrient databases, and accuracy compared to the US Department of Agriculture (USDA) Nutrient Data Base (NDB).

Area of Science:

  • Nutrition Informatics
  • Computational Nutrition
  • Dietary Assessment Technology

Background:

  • Microcomputer dietary analysis programs are widely used for tracking nutrient intake.
  • Evaluating these programs is essential for accurate dietary assessment.
  • Previous comparisons have focused on specific aspects or older versions of software.

Purpose of the Study:

  • To compare the operational features and nutrient databases of eight microcomputer dietary analysis programs.
  • To assess the performance of these programs against a standardized reference database.
  • To identify key differences that impact user choice and data accuracy.

Main Methods:

  • A standardized 3-day food record (73 items) was inputted into each of the eight programs.

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  • General operating features, user interface, and support materials were evaluated.
  • Nutrient analysis outputs were compared against the 1993 USDA Nutrient Data Base for Standard Reference (NDB).

    • Main Results:

    • Significant variations were observed in program cost, database size (foods and nutrients), and handling of missing data.
    • Program usability, including ease of food entry, data averaging, and report generation, differed considerably.
    • Most programs (all but one) were within 15% of the USDA NDB for major macronutrients (energy, protein, fat, carbohydrates).
    • Discrepancies exceeding 15% for other nutrients were noted, attributed to database content and missing values.

    Conclusions:

    • The selection of a microcomputer dietary analysis program should align with specific user requirements and needs.
    • Users must consider database comprehensiveness and accuracy when choosing software for dietary analysis.
    • Program performance and adherence to reference standards vary, necessitating careful evaluation.