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  • Title: Quality control including validation in dietary surveys of elderly subjects. The validation of a dietary history method (the SENECA-method) used in the 1914-population study in Glostrup of Danish men and women aged 80 years.
    Author: Pedersen AN, Fagt S, Ovesen L, Schroll M.
    Journal: J Nutr Health Aging; 2001; 5(4):208-16. PubMed ID: 11753480.
    Abstract:
    BACKGROUND: Quality control including validation in dietary surveys is needed to reduce and detect errors which would lead to an attenuated scientific foundation for the diet-disease relationship. Especially studies in the elderly are needed because of limited knowledge of reference values, cut-off values etc. OBJECTIVE: To validate a modified dietary history method (the SENECA-method) in elderly subjects. DESIGN: A survey of Danish men and women aged 80 years, who participated in the 1914-population study in Glostrup. SUBJECTS AND METHOD: A pilot study (n = 34) validated the dietary history against 24-h urine collections; a main study (n = 240) compared dietary history with a 3-day estimated food record. RESULTS: Protein intake from dietary history was 10% higher than calculated protein intake from 24-h urine collections. Differences in intakes of energy and macronutrients between dietary history and 3-day food record were generally small and non-significant, and there was good agreement between the methods in classifying nutrient intakes into same tertiles. A Bland & Altman plot indicated increasing differences in energy intake between methods with increased energy intake. Evidence for under-reporting of energy intake and/or over-reporting of the physical activity level was further made plausible when physical activity ratio was compared to recognized cut-off limits. CONCLUSIONS: The modified dietary history method can be used to estimate dietary intake in 80 year old subjects, but some degree of misreporting, especially under-reporting, appears to be present. Keeping this in mind it is, however, possible to analyse dietary intake against other survey data.
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