Document Detail


Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fibre.
MedLine Citation:
PMID:  15548349     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVES: We describe the methods used to develop and score a 17-item 'screener' designed to estimate intake of fruit and vegetables, percentage energy from fat and fibre. The ability of this screener and a food-frequency questionnaire (FFQ) to measure these exposures is evaluated. DESIGN: Using US national food consumption data, stepwise multiple regression was used to identify the foods to be included on the instrument; multiple regression analysis was used to develop scoring algorithms. The performance of the screener was evaluated in three different studies. Estimates of intakes measured by the screener and the FFQ were compared with true usual intake based on a measurement error model. SETTING: US adult population. SUBJECTS: For development of instrument, n=9323 adults. For testing of instrument, adult men and women in three studies completing multiple 24-hour dietary recalls, FFQ and screeners, n=484, 462 and 416, respectively. RESULTS: Median recalled intakes for examined exposures were generally estimated closely by the screener. In the various validation studies, the correlations between screener estimates and estimated true intake were 0.5-0.8. In general, the performances of the screener and the full FFQ were similar; estimates of attenuation were lower for screeners than for full FFQs. CONCLUSIONS: When coupled with appropriate reference data, the screener approach described may yield useful estimates of intake, for both surveillance and epidemiological purposes.
Authors:
Frances E Thompson; Douglas Midthune; Amy F Subar; Lisa L Kahle; Arthur Schatzkin; Victor Kipnis
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Publication Detail:
Type:  Journal Article; Validation Studies    
Journal Detail:
Title:  Public health nutrition     Volume:  7     ISSN:  1368-9800     ISO Abbreviation:  Public Health Nutr     Publication Date:  2004 Dec 
Date Detail:
Created Date:  2004-11-19     Completed Date:  2005-04-08     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9808463     Medline TA:  Public Health Nutr     Country:  England    
Other Details:
Languages:  eng     Pagination:  1097-105     Citation Subset:  IM    
Affiliation:
Risk Factor Surveillance and Methodology Branch, Applied Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, EPN 4016, 6130 Executive Blvd, MSC 7344, Bethesda, MD 20892-7344, USA. ThompsoF@mail.nih.gov
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Algorithms
Dietary Fats / administration & dosage*
Dietary Fiber / administration & dosage
Energy Intake*
Female
Fruit*
Humans
Male
Mass Screening / methods*
Mental Recall
Middle Aged
Nutrition Surveys
Questionnaires / standards*
Regression Analysis
Sensitivity and Specificity
Vegetables*
Chemical
Reg. No./Substance:
0/Dietary Fats

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


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