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      Fatos e perspectivas do primeiro Inquérito Nacional de Alimentação Translated title: Facts and perspectives of the first National Dietary Survey

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          Pesquisa de Orçamentos Familiares 2008-2009: análise do consumo alimentar pessoal no Brasil

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            Estimating usual food intake distributions by using the multiple source method in the EPIC-Potsdam Calibration Study.

            Estimating usual food intake distributions from short-term quantitative measurements is critical when occasionally or rarely eaten food groups are considered. To overcome this challenge by statistical modeling, the Multiple Source Method (MSM) was developed in 2006. The MSM provides usual food intake distributions from individual short-term estimates by combining the probability and the amount of consumption with incorporation of covariates into the modeling part. Habitual consumption frequency information may be used in 2 ways: first, to distinguish true nonconsumers from occasional nonconsumers in short-term measurements and second, as a covariate in the statistical model. The MSM is therefore able to calculate estimates for occasional nonconsumers. External information on the proportion of nonconsumers of a food can also be handled by the MSM. As a proof-of-concept, we applied the MSM to a data set from the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Calibration Study (2004) comprising 393 participants who completed two 24-h dietary recalls and one FFQ. Usual intake distributions were estimated for 38 food groups with a proportion of nonconsumers > 70% in the 24-h dietary recalls. The intake estimates derived by the MSM corresponded with the observed values such as the group mean. This study shows that the MSM is a useful and applicable statistical technique to estimate usual food intake distributions, if at least 2 repeated measurements per participant are available, even for food groups with a sizeable percentage of nonconsumers.
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              Estimation of usual intake distributions of nutrients and foods.

              The issue of estimating usual intake distributions using daily intake data as collected by nationwide food consumption surveys is discussed. Of interest are not only the usual nutrient intake distributions based on food intake alone, but also the total nutrient intake distributions that must be based on information on food and supplement consumption. The problems of estimating usual food intake distributions and distinguishing between frequently consumed and infrequently consumed food items are considered. Data needs as well as statistical methodologies available to carry out each of the tasks outlined above are discussed, with particular reference to the integrated National Health and Nutrition Examination Survey that is now in the field. The replicated 24-h recalls should be augmented with a propensity questionnaire to improve on the estimation of intake distributions for infrequently consumed nutrients, supplements and food items.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Journal
                rsp
                Revista de Saúde Pública
                Rev. Saúde Pública
                Faculdade de Saúde Pública da Universidade de São Paulo (São Paulo )
                1518-8787
                February 2013
                : 47
                : suppl 1
                : 166s-170s
                Article
                S0034-89102013000200002
                99d2bf5a-cd59-4145-8dd2-78b49a93ef01

                http://creativecommons.org/licenses/by/4.0/

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                SciELO Public Health

                Self URI (journal page): http://www.scielosp.org/scielo.php?script=sci_serial&pid=0034-8910&lng=en
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                Health Policy & Services

                Public health
                Public health

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