Literature DB >> 20100366

Evaluating the quality of dietary intake validation studies.

Lluis Serra-Majem1, Lene Frost Andersen, Patricia Henríque-Sánchez, Jorge Doreste-Alonso, Almudena Sánchez-Villegas, Adriana Ortiz-Andrelluchi, Eva Negri, Carlo La Vecchia.   

Abstract

Within the EURopean micronutrient RECommendations Aligned Network of Excellence (EURRECA), a scoring system was developed to assess the quality of dietary intake validation studies. The scoring system included three steps. The first step was to give each study a quality score, which included five components: sample size, statistics used, data collection procedure, consideration of seasonality and supplement use. Scores ranged from 0 to 7, and validation studies classified as very good ( > or = 5), good (5-3.5), acceptable/reasonable (3.5-2.5) and poor ( < 2.5). The second and third steps included an adjustment/weighting of the correlation coefficient according to the quality score and moreover a rating of the adjusted/weighted correlation. The scoring system was tested in 124 validation studies that included at least one vitamin. Only 5.6 % of the 124 studies were judged to be of very good quality according to the quality score, 41.9 % of good quality and 16.9 % had a poor rating. When adjusting for the study quality scores, crude and adjusted mean correlations of vitamins A, C, D and E intakes were similar, but the percentage of correlation values classified as poor or very good was higher after adjustment. These results show the importance of considering the quality of studies validating dietary assessment methods and the correlations obtained for the micronutrient of interest when interpreting effects observed in epidemiological studies using dietary assessment methods. Without a doubt, this subject constitutes a key topic for research in nutritional epidemiology.

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Year:  2009        PMID: 20100366     DOI: 10.1017/S0007114509993114

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  44 in total

1.  Misreport of energy intake assessed with food records and 24-h recalls compared with total energy expenditure estimated with DLW.

Authors:  T S Lopes; R R Luiz; D J Hoffman; E Ferriolli; K Pfrimer; A S Moura; R Sichieri; R A Pereira
Journal:  Eur J Clin Nutr       Date:  2016-06-08       Impact factor: 4.016

Review 2.  Is the food frequency questionnaire suitable to assess micronutrient intake adequacy for infants, children and adolescents?

Authors:  Blanca Roman-Viñas; Adriana Ortiz-Andrellucchi; Michelle Mendez; Almudena Sánchez-Villegas; Luis Peña Quintana; Luis A Moreno Aznar; Maria Hermoso; Lluís Serra-Majem
Journal:  Matern Child Nutr       Date:  2010-10       Impact factor: 3.092

3.  Relative Validity of a Diet History Questionnaire Against a Four-Day Weighed Food Record among Older Men in Australia: The Concord Health and Ageing in Men Project (CHAMP).

Authors:  W V R Rosilene; R Cumming; T Travison; F Blyth; V Naganathan; M Allman-Farinelli; V Hirani
Journal:  J Nutr Health Aging       Date:  2015-06       Impact factor: 4.075

4.  Validity and reliability of a food frequency questionnaire for community dwelling older adults in a Mediterranean country: Lebanon.

Authors:  Nathalie Yaghi; Christa Boulos; Rafic Baddoura; Marianne Abifadel; Cesar Yaghi
Journal:  Nutr J       Date:  2022-06-18       Impact factor: 4.344

5.  Comparison of 24-hour urine and 24-hour diet recall for estimating dietary sodium intake in populations: A systematic review and meta-analysis.

Authors:  Rachael McLean; Claire Cameron; Elizabeth Butcher; Nancy R Cook; Mark Woodward; Norm R C Campbell
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-11-25       Impact factor: 3.738

6.  Measuring diet in primary school children aged 8-11 years: validation of the Child and Diet Evaluation Tool (CADET) with an emphasis on fruit and vegetable intake.

Authors:  M S Christian; C E L Evans; C Nykjaer; N Hancock; J E Cade
Journal:  Eur J Clin Nutr       Date:  2014-08-20       Impact factor: 4.016

7.  Validation of an abbreviated food frequency questionnaire for estimating DHA intake of pregnant women in the United States.

Authors:  S A Crawford; D N Christifano; E H Kerling; B J Gajewski; C J Valentine; K M Gustafson; N B Mathis; J T Camargo; H D Gibbs; D K Sullivan; S A Sands; S E Carlson
Journal:  Prostaglandins Leukot Essent Fatty Acids       Date:  2022-01-13       Impact factor: 4.006

8.  Relative validation of the KiGGS Food Frequency Questionnaire among adolescents in Germany.

Authors:  Julia Truthmann; Gert B M Mensink; Almut Richter
Journal:  Nutr J       Date:  2011-12-07       Impact factor: 3.271

9.  A food frequency questionnaire for the assessment of calcium, vitamin D and vitamin K: a pilot validation study.

Authors:  Janet M Pritchard; Tinasha Seechurn; Stephanie A Atkinson
Journal:  Nutrients       Date:  2010-07-28       Impact factor: 5.717

10.  Assessment of Pre-Pregnancy Dietary Intake with a Food Frequency Questionnaire in Alberta Women.

Authors:  Stephanie M Ramage; Linda J McCargar; Casey Berglund; Vicki Harber; Rhonda C Bell
Journal:  Nutrients       Date:  2015-07-27       Impact factor: 5.717

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