Format

Send to

Choose Destination
Nutr Hosp. 2015 Feb 26;31 Suppl 3:113-8. doi: 10.3305/nh.2015.31.sup3.8759.

Biases and adjustments in nutritional assessments from dietary questionnaires.

Author information

1
Unitat de Nutrició i Salut Pública. Research Group in Nutrition and Mental Health (NUTRISAM). Institut d'Investigació Sanitària Pere Virgili, Universitat Rovira i Virgili, Reus.. victoria.arija@urv.cat.
2
Departament de Salut Pública. Facultat de Medicina. Universitat de Barcelona..
3
Unitat de Nutrició i Salut Pública. Research Group in Nutrition and Mental Health (NUTRISAM)..
4
Departament de Ciències Clíniques. Facultat de Medicina. Universitat de Barcelona. Coordinador del Grup de recerca en prevenció clínica. Institut de recerca biomèdica de Bellvitge. Spain..

Abstract

in English, Spanish

In nutritional epidemiology, it is essential to use Food Consumption Assessment Methods that have been validated and accepted by the international community for estimating food consumption of individuals and populations. This assessment must be made with the highest quality possible so as to avoid, as far as possible, sources of error and confusion in the processes. The qualities that are required in a measurement method are validity and accuracy; validity being the main factor. Lack of validity produces biases, or systematic errors. These can reside in the process of subject selection, or processes of information gathering where the lack of accuracy produces random errors. For many nutrients, the intra-individual variances are due to many factors such as day-of-the-week or season, and could create problems in the data analyses. Adjustments are needed to minimize these effects. Confounding factors may over- or under-state the real magnitude of the observed association, or even alter the direction of the real association. Total energy intake can be a confounding variable when studying a relationship between nutrient intake and disease risk. To control for this effect several approximations are proposed such as nutrient densities, standard multivariate models and the nutrient residual model.

PMID:
25719779
DOI:
10.3305/nh.2015.31.sup3.8759
[Indexed for MEDLINE]
Free full text

Supplemental Content

Full text links

Icon for Aula Medica
Loading ...
Support Center