Literature DB >> 21731004

Biomarker-based evaluation of two 24-h recalls for comparing usual fish, fruit and vegetable intakes across European centers in the EFCOVAL Study.

S P Crispim1, A Geelen, O W Souverein, P J M Hulshof, J Ruprich, M Dofkova, I Huybrechts, W De Keyzer, I T Lillegaard, L F Andersen, L Lafay, A-S Rousseau, M C Ocké, N Slimani, P van 't Veer, J H de Vries.   

Abstract

BACKGROUND/
OBJECTIVES: A standardized methodology is important to enable consistent monitoring of dietary intake across European countries. For this reason, we evaluated the comparability of the assessment of usual food intake collected with two non-consecutive computerized 24-h dietary recalls (24-HDRs) and a food propensity questionnaire (FPQ) among five European centers. SUBJECTS/
METHODS: Two 24-HDRs using EPIC-Soft (the software developed to conduct 24-HDRs in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study) were performed to determine fish, fruit and vegetable (FV) consumed by 600 adults in Belgium (BE), the Czech Republic (CZ), France (FR), the Netherlands (NL) and Norway (NO) in a validation study. An FPQ was used to identify non-consumers. Information from the 24-HDRs and FPQ were used to estimate individual usual food intake by the Multiple Source Method (MSM). Blood samples were drawn to determine fatty acids in phospholipids and serum carotenoids as biomarkers of fish, and FV intake, respectively.
RESULTS: The pooled correlation between usual fish intake and eicosapentaenoic acid plus docosahexaenoic acid in phospholipids was 0.19 in men and 0.31 in women (P for heterogeneity >0.50) and center-specific correlations ranged between 0.08 (CZ) and 0.28 (BE and NO) in men, and between 0.19 (BE) and 0.55 (FR) in women. For usual FV intake, the pooled correlation with serum carotenoids was 0.31 in men and 0.40 in women (P for heterogeneity >0.10); the center-specific correlations varied between 0.07 (NO) and 0.52 (FR) in men, and between 0.25 (NL) and 0.45 (NO) in women.
CONCLUSION: Two standardized 24-HDRs using EPIC-Soft and an FPQ appeared to be appropriate to rank individuals according to their fish and FV intake in a comparable way among five European centers.

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Year:  2011        PMID: 21731004     DOI: 10.1038/ejcn.2011.86

Source DB:  PubMed          Journal:  Eur J Clin Nutr        ISSN: 0954-3007            Impact factor:   4.016


  13 in total

1.  Bias in protein and potassium intake collected with 24-h recalls (EPIC-Soft) is rather comparable across European populations.

Authors:  Sandra P Crispim; Anouk Geelen; Jeanne H M de Vries; Heinz Freisling; Olga W Souverein; Paul J M Hulshof; Marga C Ocke; Hendriek Boshuizen; Lene F Andersen; Jiri Ruprich; Willem De Keyzer; Willem De Keizer; Inge Huybrechts; Lionel Lafay; Maria S de Magistris; Fulvio Ricceri; Rosario Tumino; Vittorio Krogh; H Bas Bueno-de-Mesquita; Joline W J Beulens; Marie-Christine Boutron-Ruault; Androniki Naska; Francesca L Crowe; Heiner Boeing; Alison McTaggart; Rudolf Kaaks; Pieter Van't Veer; Nadia Slimani
Journal:  Eur J Nutr       Date:  2011-12-06       Impact factor: 5.614

2.  Comparison of meal patterns across five European countries using standardized 24-h recall (GloboDiet) data from the EFCOVAL project.

Authors:  Min Kyung Park; Heinz Freisling; Ena Huseinovic; Anna Winkvist; Inge Huybrechts; Sandra Patricia Crispim; Jeanne H M de Vries; Anouk Geelen; Maryse Niekerk; Caroline van Rossum; Nadia Slimani
Journal:  Eur J Nutr       Date:  2017-03-08       Impact factor: 5.614

Review 3.  Cross-continental comparison of national food consumption survey methods--a narrative review.

Authors:  Willem De Keyzer; Tatiana Bracke; Sarah A McNaughton; Winsome Parnell; Alanna J Moshfegh; Rosangela A Pereira; Haeng-Shin Lee; Pieter van't Veer; Stefaan De Henauw; Inge Huybrechts
Journal:  Nutrients       Date:  2015-05-13       Impact factor: 5.717

4.  Does the consumption of fruits and vegetables differ between Eastern and Western European populations? Systematic review of cross-national studies.

Authors:  Denes Stefler; Martin Bobak
Journal:  Arch Public Health       Date:  2015-06-15

Review 5.  Adult Nutrient Intakes from Current National Dietary Surveys of European Populations.

Authors:  Holly L Rippin; Jayne Hutchinson; Jo Jewell; Joao J Breda; Janet E Cade
Journal:  Nutrients       Date:  2017-11-27       Impact factor: 5.717

6.  Dietary Data in the Malmö Offspring Study-Reproducibility, Method Comparison and Validation against Objective Biomarkers.

Authors:  Sophie Hellstrand; Filip Ottosson; Einar Smith; Louise Brunkwall; Stina Ramne; Emily Sonestedt; Peter M Nilsson; Olle Melander; Marju Orho-Melander; Ulrika Ericson
Journal:  Nutrients       Date:  2021-05-09       Impact factor: 5.717

7.  The Dutch Healthy Diet index as assessed by 24 h recalls and FFQ: associations with biomarkers from a cross-sectional study.

Authors:  Linde van Lee; Edith J M Feskens; Eveline J C Hooft van Huysduynen; Jeanne H M de Vries; Pieter van 't Veer; Anouk Geelen
Journal:  J Nutr Sci       Date:  2014-01-02

8.  Comparison of food and nutrient intakes between cohorts of the HAPIEE and Whitehall II studies.

Authors:  Denes Stefler; Andrzej Pajak; Sofia Malyutina; Ruzena Kubinova; Martin Bobak; Eric J Brunner
Journal:  Eur J Public Health       Date:  2015-12-04       Impact factor: 3.367

9.  Lessons Learned From Methodological Validation Research in E-Epidemiology.

Authors:  Emmanuelle Kesse-Guyot; Karen Assmann; Valentina Andreeva; Katia Castetbon; Caroline Méjean; Mathilde Touvier; Benoît Salanave; Valérie Deschamps; Sandrine Péneau; Léopold Fezeu; Chantal Julia; Benjamin Allès; Pilar Galan; Serge Hercberg
Journal:  JMIR Public Health Surveill       Date:  2016-10-18

10.  What is the Validity of Questionnaires Assessing Fruit and Vegetable Consumption in Children when Compared with Blood Biomarkers? A Meta-Analysis.

Authors:  Tatiana S Collese; Gabriela Vatavuk-Serrati; Marcus Vinicius Nascimento-Ferreira; Augusto César Ferreira De Moraes; Heráclito Barbosa Carvalho
Journal:  Nutrients       Date:  2018-10-01       Impact factor: 5.717

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