Document Detail

Evaluation of a bar-code system for nutrient analysis in dietary surveys.
MedLine Citation:
PMID:  10656478     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: A novel system for nutrient analysis has been developed and tested over 5 years. Its key features are a nutrient database of 600 commonly eaten foods (95% of foods eaten in 7-day surveys); a booklet identifying each food with a bar code, bar codes for gram weight and for portion sizes (small, medium, large) and a bar-code reader with dietary analysis software for PCs. In the present study the bar-code system has been evaluated by comparison with a commonly used manual entry nutrient analysis software for dietitians' use. DESIGN: Cross-sectional. SETTING: Glasgow city district. SUBJECTS: One hundred and sixty adults aged 18-65 years old. RESULTS: Comparing mean intakes for macro- and micronutrients, using the Bland and Altman method, the bias between the two methods was small, ranging from 0.93 to 1.03. The bar-code system took significantly less professional time in data entry and nutrient analysis than the widely used manual system (29min per 7-day diary vs. 47 min per 7-day diary, P < 0.001). CONCLUSIONS: It is suggested that the bar-code system offers greater speed with a saving of professional time needed for nutrient analysis of dietary surveys. This system is commended for maintaining accuracy while promoting economy.
A S Anderson; L Maher; T K Ha; J Cooney; S Eley; M Martin; G Vespasiani; M Bruni; M E Lean
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Public health nutrition     Volume:  2     ISSN:  1368-9800     ISO Abbreviation:  Public Health Nutr     Publication Date:  1999 Dec 
Date Detail:
Created Date:  2000-04-07     Completed Date:  2000-04-07     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9808463     Medline TA:  Public Health Nutr     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  579-86     Citation Subset:  IM    
Centre for Applied Nutrition Research, University of Dundee, UK.
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MeSH Terms
Automatic Data Processing*
Cross-Sectional Studies
Diet Surveys*
Food / statistics & numerical data*
Middle Aged
Scotland / epidemiology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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