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Development and Evaluation of an Automated Algorithm to Estimate the Nutrient Intake of Infants from an Electronic Com...
ISSN: 1929 - 4247
Publisher: author
Development and Evaluation of an Automated Algorithm to Estimate the Nutrient Intake of Infants from an Electronic Com...
Indexed in
Health Sciences
ARTICLE-FACTOR
1.3
Article Basics Score: 3
Article Transparency Score: 2
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 3
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-0702
Publisher: Lifescience Global Inc.
International Journal Address (IAA):
IAA.ZONE/192990414247
eISSN
:
1929 - 4247
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Abstract
Background: We previously validated a four-day complementary food frequency questionnaire (CFFQ) to estimate the nutrient intake in New Zealand infants aged 9-12 months. However, manual entry of the CFFQ data into nutritional analysis software was time-consuming. Therefore, we developed an automated algorithm and evaluated its accuracy by comparing the nutrient estimates with those obtained from the nutritional analysis software. Methods: We analysed 50 CFFQ completed at 9- and 12-months using Food Works nutritional analysis software. The automated algorithm was programmed in SAS by multiplying the average daily consumption of each food item by the nutrient content of the portion size. We considered the most common brands for commercially prepared baby foods. Intakes of energy, macronutrients, and micronutrients were compared between methods using Bland-Altman analysis. Results: The automated algorithm did not have any significant bia...
