Literature DB >> 17056822

the potential of AGE MODE, an age-dependent model, to estimate usual intakes and prevalences of inadequate intakes in a population.

Patricia M C M Waijers1, Arnold L M Dekkers, Jolanda M A Boer, Hendriek C Boshuizen, Caroline T M van Rossum.   

Abstract

Dietary intake data often stem from short-term measurements. However, for dietary assessment, generally the habitual intake distribution is of interest. Currently, habitual intake distributions are often estimated separately for subgroups of gender and age and do not take into account the variation in intake caused by age within age groups. Therefore, we developed an age-dependent dietary assessment model, which was demonstrated and tested using folate intakes from the third Dutch National Food Consumption Survey, conducted in 1997/98. The proposed model produced estimates of the mean habitual intake and intake percentiles as a function of age. The methodology has clear advantages in estimating habitual intakes in children. Also, given the large variation in intakes of several dietary components, estimated habitual intakes produced by other methods may have low precision and be less reliable if numbers are small. In our age-dependent model, all available data can be used to estimate the parameters of the habitual intake distribution, improving the precision of the estimates, and providing consistent estimates for a larger population sample as no subgroups need to be created. Although the model may still be further developed, the feature of age dependency shows clear advantages above methods currently used to estimate habitual intakes.

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Year:  2006        PMID: 17056822     DOI: 10.1093/jn/136.11.2916

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  7 in total

1.  Development and evaluation of a short 24-h food list as part of a blended dietary assessment strategy in large-scale cohort studies.

Authors:  J Freese; S Feller; U Harttig; C Kleiser; J Linseisen; B Fischer; M F Leitzmann; J Six-Merker; K B Michels; K Nimptsch; A Steinbrecher; T Pischon; T Heuer; I Hoffmann; G Jacobs; H Boeing; U Nöthlings
Journal:  Eur J Clin Nutr       Date:  2014-01-08       Impact factor: 4.016

2.  Vitamins and minerals: issues associated with too low and too high population intakes.

Authors:  Janneke Verkaik-Kloosterman; Mary T McCann; Jeljer Hoekstra; Hans Verhagen
Journal:  Food Nutr Res       Date:  2012-04-02       Impact factor: 3.894

3.  Handling random errors and biases in methods used for short-term dietary assessment.

Authors:  Sinara L Rossato; Sandra C Fuchs
Journal:  Rev Saude Publica       Date:  2014-10       Impact factor: 2.106

4.  The added value of food frequency questionnaire (FFQ) information to estimate the usual food intake based on repeated 24-hour recalls.

Authors:  Cloë Ost; Karin A A De Ridder; Jean Tafforeau; Herman Van Oyen
Journal:  Arch Public Health       Date:  2017-10-30

5.  Comparing Methods from the National Cancer Institute vs Multiple Source Method for Estimating Usual Intake of Nutrients in the Hispanic Community Health Study/Study of Latino Youth.

Authors:  Jaqueline L Pereira; Michelle A de Castro; Sandra P Crispim; Regina M Fisberg; Carmen R Isasi; Yasmin Mossavar-Rahmani; Linda Van Horn; Mercedes R Carnethon; Martha L Daviglus; Krista M Perreira; Linda C Gallo; Daniela Sotres-Alvarez; Josiemer Mattei
Journal:  J Acad Nutr Diet       Date:  2020-08-07       Impact factor: 4.910

6.  Comparison of the ISU, NCI, MSM, and SPADE Methods for Estimating Usual Intake: A Simulation Study of Nutrients Consumed Daily.

Authors:  Greice H C Laureano; Vanessa B L Torman; Sandra P Crispim; Arnold L M Dekkers; Suzi A Camey
Journal:  Nutrients       Date:  2016-03-15       Impact factor: 5.717

7.  Perspective: An Extension of the STROBE Statement for Observational Studies in Nutritional Epidemiology (STROBE-nut): Explanation and Elaboration.

Authors:  Agneta Hörnell; Christina Berg; Elisabet Forsum; Christel Larsson; Emily Sonestedt; Agneta Åkesson; Carl Lachat; Dana Hawwash; Patrick Kolsteren; Graham Byrnes; Willem De Keyzer; John Van Camp; Janet E Cade; Darren C Greenwood; Nadia Slimani; Myriam Cevallos; Matthias Egger; Inge Huybrechts; Elisabet Wirfält
Journal:  Adv Nutr       Date:  2017-09-15       Impact factor: 8.701

  7 in total

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