Autor/s de la URV: | Arija Val, Maria Victoria / RIBOT SERRA, BLANCA |
Autor segons l'article: | Arija V; Abellana R; Ribot B; Ramon J |
Adreça de correu electrònic de l'autor: | victoria.arija@urv.cat |
Identificador de l'autor: | 0000-0002-1758-0975 |
Any de publicació de la revista: | 2015 |
Tipus de publicació: | Journal Publications |
ISSN: | 02121611 |
Referència de l'ítem segons les normes APA: | Arija V; Abellana R; Ribot B; Ramon J (2015). Biases and adjustments in nutritional assessments from dietary questionnaires. Nutricion Hospitalaria, 31(Supl. 3), 113-118. DOI: 10.3305/nh.2015.31.sup3.8759 |
Referència a l'article segons font original: | Nutricion Hospitalaria. 31 (Supl. 3): 113-118 |
Resum: | 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. Copyright AULA MEDICA EDICIONES 2015. Published by AULA MEDICA. All rights reserved. |
DOI de l'article: | 10.3305/nh.2015.31.sup3.8759 |
Enllaç font original: | http://www.aulamedica.es/nh/pdf/8759.pdf |
Versió de l'article dipositat: | info:eu-repo/semantics/publishedVersion |
Accès a la llicència d'ús: | https://creativecommons.org/licenses/by/3.0/es/ |
Departament: | Ciències Mèdiques Bàsiques |
URL Document de llicència: | https://repositori.urv.cat/ca/proteccio-de-dades/ |
Àrees temàtiques: | Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Planejamento urbano e regional / demografia Odontología Nutrition and dietetics Nutrition & dietetics Nutrição Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar Historia Geociências Farmacia Engenharias iii Engenharias ii Enfermagem Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Biotecnología Biodiversidade Administração, ciências contábeis e turismo |
Paraules clau: | Validity Repetitiveness Random errors Quality Precision Methods of evaluating food consumption Exactness Evaluation of systematic nutritional errors Confounding factors Biases Adjustments |
Entitat: | Universitat Rovira i Virgili |
Data d'alta del registre: | 2024-08-24 |
Descripció: | 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. Copyright AULA MEDICA EDICIONES 2015. Published by AULA MEDICA. All rights reserved. |
Tipus: | Journal Publications |
Coautor: | Universitat Rovira i Virgili |
Títol: | Biases and adjustments in nutritional assessments from dietary questionnaires |
Matèria: | Medicine (Miscellaneous),Nutrition & Dietetics,Nutrition and Dietetics Validity Repetitiveness Random errors Quality Precision Methods of evaluating food consumption Exactness Evaluation of systematic nutritional errors Confounding factors Biases Adjustments Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Planejamento urbano e regional / demografia Odontología Nutrition and dietetics Nutrition & dietetics Nutrição Medicine (miscellaneous) Medicina veterinaria Medicina iii Medicina ii Medicina i Interdisciplinar Historia Geociências Farmacia Engenharias iii Engenharias ii Enfermagem Educação física Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Biotecnología Biodiversidade Administração, ciências contábeis e turismo |
Data: | 2015 |
Autor: | Arija V Abellana R Ribot B Ramon J |
Drets: | info:eu-repo/semantics/openAccess |
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