A DATA-BASED APPROACH TO DIET QUESTIONNAIRE DESIGN AND TESTING (original) (raw)

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Division of Cancer Prevention and Control, National Cancer Institute

Bethesda, MD

Send reprint requests to Dr. Gladys Block, NCI/DCPC, Blair Building, Room 515,9000 Rockville Pike, Bethesda, MD 20892-4200

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Division of Cancer Prevention and Control, National Cancer Institute

Bethesda, MD

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Nutrition Statistics Branch, Division of Health Examination Statistics, National Center for Health Statistics

Hyattsville, MD.

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Nutrition Statistics Branch, Division of Health Examination Statistics, National Center for Health Statistics

Hyattsville, MD.

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Nutrition Statistics Branch, Division of Health Examination Statistics, National Center for Health Statistics

Hyattsville, MD.

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Capital Systems Group

Washington, DC

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Revision received:

08 January 1986

Published:

01 September 1986

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GLADYS BLOCK, ANNE M. HARTMAN, CONNIE M. DRESSER, MARGARET D. CARROLL, JANET GANNON, LILLY GARDNER, A DATA-BASED APPROACH TO DIET QUESTIONNAIRE DESIGN AND TESTING, American Journal of Epidemiology, Volume 124, Issue 3, September 1986, Pages 453–469, https://doi.org/10.1093/oxfordjournals.aje.a114416
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Abstract

A self-administered diet history questionnaire has been developed for epidemiologic and clinical use. Both the food list and the nutrient values to be associated with it were developed using dietary data from 11,658 adult respondents to the Second National Health and Nutrition Examination Survey (NHANES II). Food items were selected on the basis of their contribution to total population intake of energy and each of 17 nutrients in the NHANES II data, and represent over 90% of each of those nutrients. Associated nutrient composition values were determined from the NHANES II database using frequency of consumption data in that survey. Portion sizes to be associated with each food item were derived from observed portion size distributions in NHANES II, based on three-dimensional models. The resulting food list and its corresponding brief data base, when used to calculate nutrients from a diet record, yielded correlations of r > 0.70 with the more detailed method. Field administration produced mean values comparable to national data.

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© 1986 by The Johns Hopkins University School of Hygiene and Public Health

Topic:

• diet
• databases
• adult
• diet records
• food
• self administration
• nutrients
• national health and nutrition examination survey

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