Variability in estimation of self-reported dietary intake data from elite athletes resulting from coding by different sports dietitians

Braakhuis, Andrea J., Stewart, Kelly L., Cox, Gregory R., Hopkins, William G., & Burke, Louise M. (2003) Variability in estimation of self-reported dietary intake data from elite athletes resulting from coding by different sports dietitians. International Journal of Sport Nutrition and Exercise Metabolism, 13(2), pp. 152-165.

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Abstract

A routine activity for a sports dietitian is to estimate energy and nutrient intake from an athlete's self-reported food intake. Decisions made by the dietitian when coding a food record are a source of variability in the data. The aim of the present study was to determine the variability in estimation of the daily energy and key nutrient intakes of elite athletes, when experienced coders analyzed the same food record using the same database and software package. Seven-day food records from a dietary survey of athletes in the 1996 Australian Olympic team were randomly selected to provide 13 sets of records, each set representing the self-reported food intake of an endurance, team, weight restricted, and sprint/power athlete. Each set was coded by 3-5 members of Sports Dietitians Australia, making a total of 52 athletes, 53 dietitians, and 1456 athlete-days of data. We estimated within- and between- athlete and dietitian variances for each dietary nutrient using mixed modeling, and we combined the variances to express variability as a coefficient of variation (typical variation as a percent of the mean). Variability in the mean of 7-day estimates of a nutrient was 2- to 3-fold less than that of a single day. The variability contributed by the coder was less than the true athlete variability for a 1-day record but was of similar magnitude for a 7-day record. The most variable nutrients (e.g., vitamin C, vitamin A, cholesterol) had approximately 3-fold more variability than least variable nutrients (e.g., energy, carbohydrate, magnesium). These athlete and coder variabilities need to be taken into account in dietary assessment of athletes for counseling and research.

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ID Code: 58329
Item Type: Journal Article
Refereed: Yes
Keywords: coefficient of variation, error of measurement, food records, reliability, validity
ISSN: 1526-484X
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > NUTRITION AND DIETETICS (111100) > Clinical and Sports Nutrition (111101)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Exercise & Nutrition Sciences
Copyright Owner: Copyright 2003 Human Kinetics Publishers, Inc.
Deposited On: 18 Mar 2013 22:23
Last Modified: 18 Mar 2013 23:08

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