Document Detail


Consistency of food intake factors by different dietary assessment methods and population groups.
MedLine Citation:
PMID:  13129474     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Several studies have used factor analysis to identify food intake patterns in epidemiological studies as an alternative to nutrient-based analyses, but few have validated the factors in a larger population. Our present objectives were: to compare the factor scores based on a food-frequency questionnaire (FFQ) with scores based on a 7 d diet record; to examine the consistency of the factor score correlations across strata of age, BMI, energy intake, education, physical activity and smoking and to compare factors identified in two sub-populations. In 879 men and 927 women, of the total population sample of 3785, scores on food intake factors, three for men ('green', sweet' and 'traditional') and two for women ('green' and 'sweet-traditional'), identified in data from the FFQ and the diet record, were compared. The loadings of foods on the factors were very similar and the correlations between the corresponding factor scores, based on the two dietary assessment methods, were: for men 'green' 0.61, 'sweet' 0.55, 'traditional' 0.34; for women, 'green' 0.61, 'sweet-traditional' 0.57. Stratification did not significantly modify the correlations, with a few inconsistent exceptions. Factors obtained in a different subsample of the population, for which there was only data from the FFQ, were almost identical to the factors found in the subsample, who provided both FFQ and diet record information with regard to food loadings and model fit. In conclusion, the food intake factors identified were reproducible using two different dietary assessment methods and, furthermore, independent of stratification.
Authors:
Per Togo; Berit L Heitmann; Thorkild I A Sørensen; Merete Osler
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  The British journal of nutrition     Volume:  90     ISSN:  0007-1145     ISO Abbreviation:  Br. J. Nutr.     Publication Date:  2003 Sep 
Date Detail:
Created Date:  2003-09-17     Completed Date:  2003-10-16     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0372547     Medline TA:  Br J Nutr     Country:  England    
Other Details:
Languages:  eng     Pagination:  667-78     Citation Subset:  IM    
Affiliation:
Copenhagen County Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark. per.togo@dadlnet.dk
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MeSH Terms
Descriptor/Qualifier:
Adult
Age Factors
Body Mass Index
Diet Surveys*
Eating*
Educational Status
Energy Intake
Factor Analysis, Statistical
Female
Humans
Male
Middle Aged
Motor Activity
Questionnaires
Reproducibility of Results
Sensitivity and Specificity
Sex
Smoking

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


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