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Title: ACCURACY OF 24 HOUR DIETARY RECALLS: PREMININARY RESULTS FROM USDA AMPM VALIDATION STUDY

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Submitted to: Federation of American Societies for Experimental Biology Conference
Publication Type: Abstract Only
Publication Acceptance Date: November 12, 2003
Publication Date: March 23, 2004
Citation: Rhodes, D.G., Moshfegh, A., Cleveland, L., Murayi, T., Baer, D., Sebastian, R., Perloff, B. 2004. Accuracy of 24 hour dietary recalls: Preliminary results from USDA AMPM Validation Study [abstract]. The Federation of American Societies for Experimental Biology Journal. 18(4):A111.

Technical Abstract: USDA's Automated Multiple Pass Method (AMPM) is used for collecting 24-hr dietary recalls in the National Health and Nutrition Examination Survey (NHANES). Since the dietary data have important program and policy applications, it is essential that the accuracy of the method be tested. An extensive study has been undertaken to validate the AMPM using biomarker data. Subjects included 262 men and 262 women, 30-69 yr, from the Washington DC - Baltimore area. Body mass index (BMI) ranged from 17.7 to 44.0. Study design included data collection in 5 cohorts from July 2002 through August 2003 to capture seasonal variation. Each subject was dosed with doubly-labeled water (DLW) on the first day of their 14-day study period. Numerous measures were collected including 3 24-hr dietary recalls using the AMPM. The first recall was conducted in person and subsequent recalls over the telephone. Total energy expenditure (TEE) measured by the DLW technique was compared to energy intake (EI) from the 3 recalls. Acceptable reporters (AR) are those within 95% confidence limits of EI:TEE. Preliminary results show over 80% of subjects were classified as AR. Females were more likely than males to be low-energy reporters. As TEE increased, so did low-energy reporting. This pattern was more pronounced for females than males. When completed, results will provide a comprehensive evaluation of 24-hr dietary recall methodology used in national nutrition monitoring in the U.S.

   
 
 
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