Document Detail


Validation of a computer based system for assessing dietary intake.
MedLine Citation:
PMID:  3115455     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Dietary intake was assessed in 50 patients in hospital by using a dietary history method and computer based system for data collection and standard food tables to calculate the composition of nutrients. The results were compared with those from a weighed assessment that was calculated by using both food tables and manufacturers' food analyses. The use of the food tables overestimated mean (SEM) individual nutrient intakes by between 2.5% (1.5%) and 15.5% (3.0%). The mean errors associated with the dietary history assessment varied from -23% (7.8%) for fat intake to +21.4% (8.5%) for carbohydrate intake. Overall, 30% of the assessments of total nutrient intakes that were calculated using this method were within -20% to +20% of actual values; 18% were within -10% to +10%. The mean errors associated with the computer based assessment varied from -1.0% (4.3%) for carbohydrate intake to +8.5% (3.4%) for protein intake. Overall, 56% of the assessments of total nutrient intakes were within -20% to +20% of actual intakes; 31% were within -10% to +10%. The computer based system provides an accurate, reproducible, convenient, and inexpensive method for assessing dietary intake.
Authors:
J A Levine; A M Madden; M Y Morgan
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Publication Detail:
Type:  Clinical Trial; Controlled Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  British medical journal (Clinical research ed.)     Volume:  295     ISSN:  0267-0623     ISO Abbreviation:  Br Med J (Clin Res Ed)     Publication Date:  1987 Aug 
Date Detail:
Created Date:  1987-11-16     Completed Date:  1987-11-16     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  8302911     Medline TA:  Br Med J (Clin Res Ed)     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  369-72     Citation Subset:  AIM; IM    
Affiliation:
Academic Department of Medicine, Royal Free Hospital, London.
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MeSH Terms
Descriptor/Qualifier:
Automatic Data Processing / methods*
Data Collection / methods*
Diet Surveys*
Energy Intake
Female
Humans
Male
Microcomputers
Middle Aged
Nutrition Surveys*
Comments/Corrections

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


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