Evaluation of a bar-code system for nutrient analysis in dietary surveys
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...
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Published in | Public health nutrition Vol. 2; no. 4; pp. 579 - 586 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cambridge, UK
Cambridge University Press
01.04.1999
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Subjects | |
Online Access | Get full text |
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Summary: | 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.
Cross-sectional.
Glasgow city district.
One hundred and sixty adults aged 18-65 years old.
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).
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. |
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Bibliography: | http://www.cabi.org/ ArticleID:00077 PII:S1368980099000774 istex:8F2EBE5D9F98848C09B2CD2D49B1B4A29865BBC5 ark:/67375/6GQ-MKXKBPKJ-N ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1368-9800 1475-2727 |
DOI: | 10.1017/S1368980099000774 |