Literature DB >> 23286734

Relative validity of the Children's Eating Habits Questionnaire-food frequency section among young European children: the IDEFICS Study.

Silvia Bel-Serrat1, Theodora Mouratidou1, Valeria Pala2, Inge Huybrechts3, Claudia Börnhorst4, Juan Miguel Fernández-Alvira1, Charalampos Hadjigeorgiou5, Gabriele Eiben6, Antje Hebestreit4, Lauren Lissner6, Dénes Molnár7, Alfonso Siani8, Toomas Veidebaum9, Vittorio Krogh2, Luis A Moreno1.   

Abstract

OBJECTIVE: To compare, specifically by age group, proxy-reported food group estimates obtained from the food frequency section of the Children's Eating Habits questionnaire (CEHQ-FFQ) against the estimates of two non-consecutive 24 h dietary recalls (24-HDR).
DESIGN: Estimates of food group intakes assessed via the forty-three-food-group CEHQ-FFQ were compared with those obtained by a computerized 24-HDR. Agreement on frequencies of intakes (equal to the number of portions per recall period) between the two instruments was examined using crude and de-attenuated Pearson's correlation coefficients, cross-classification analyses, weighted kappa statistics (κ w) and Bland-Altman analysis.
SETTING: Kindergartens/schools from eight European countries participating in the IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS) Study cross-sectional survey (2007-2008).
SUBJECTS: Children aged 2-9 years (n 2508, 50·4% boys).
RESULTS: The CEHQ-FFQ provided higher intake estimates for most of the food groups than the 24-HDR. De-attenuated Pearson correlation coefficients ranged from 0·01 (sweetened fruit) to 0·48 (sweetened milk) in children aged 2-<6 years (mean = 0·25) and from 0·01 (milled cereal) to 0·44 (water) in children aged 6-9 years (mean = 0·23). An average of 32% and 31% of food group intakes were assigned to the same quartile in younger and older children, respectively, and classification into extreme opposite quartiles was ≤12% for all food groups in both age groups. Mean κ w was 0·20 for 2-<6-year-olds and 0·17 for 6-9-year-olds.
CONCLUSIONS: The strength of association estimates assessed by the CEHQ-FFQ and the 24-HDR varied by food group and by age group. Observed level of agreement and CEHQ-FFQ ability to rank children according to intakes of food groups were considered to be low.

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Year:  2013        PMID: 23286734     DOI: 10.1017/S1368980012005368

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  41 in total

1.  Clustering of lifestyle behaviours and relation to body composition in European children. The IDEFICS study.

Authors:  A M Santaliestra-Pasías; T Mouratidou; L Reisch; I Pigeot; W Ahrens; S Mårild; D Molnár; A Siani; S Sieri; M Tornatiris; T Veidebaum; V Verbestel; I De Bourdeaudhuij; L A Moreno
Journal:  Eur J Clin Nutr       Date:  2015-06-03       Impact factor: 4.016

2.  The reliability and validity of a short food frequency questionnaire among 9-11-year olds: a multinational study on three middle-income and high-income countries.

Authors:  T Saloheimo; S A González; M Erkkola; D M Milauskas; J D Meisel; C M Champagne; C Tudor-Locke; O Sarmiento; P T Katzmarzyk; M Fogelholm
Journal:  Int J Obes Suppl       Date:  2015-12-08

3.  Young children's screen activities, sweet drink consumption and anthropometry: results from a prospective European study.

Authors:  S Olafsdottir; C Berg; G Eiben; A Lanfer; L Reisch; W Ahrens; Y Kourides; D Molnár; L A Moreno; A Siani; T Veidebaum; L Lissner
Journal:  Eur J Clin Nutr       Date:  2013-11-20       Impact factor: 4.016

4.  Participant characteristics and dietary correlates of SNAP and other assistance programs among families with children from racially and ethnically diverse households.

Authors:  Junia N de Brito; Katie A Loth; Angela Fertig; Amanda C Trofholz; Allan Tate; Jerica M Berge
Journal:  Appetite       Date:  2022-03-29       Impact factor: 5.016

5.  Determinant factors of physical fitness in European children.

Authors:  Mahmoud Zaqout; Krishna Vyncke; Luis A Moreno; Pilar De Miguel-Etayo; Fabio Lauria; Denes Molnar; Lauren Lissner; Monica Hunsberger; Toomas Veidebaum; Michael Tornaritis; Lucia A Reisch; Karin Bammann; Ole Sprengeler; Wolfgang Ahrens; Nathalie Michels
Journal:  Int J Public Health       Date:  2016-04-04       Impact factor: 3.380

6.  Improving cardiorespiratory fitness protects against inflammation in children: the IDEFICS study.

Authors:  Esther M González-Gil; Alba M Santaliestra-Pasías; Christoph Buck; Luis Gracia-Marco; Fabio Lauria; Valeria Pala; Denes Molnar; Toomas Veidebaum; Licia Iacoviello; Michael Tornaritis; Gabriele Eiben; Lauren Lissner; Heike Schwarz; Wolfgang Ahrens; Stefaan De Henauw; Arno Fraterman; Luis A Moreno
Journal:  Pediatr Res       Date:  2021-04-09       Impact factor: 3.756

Review 7.  Application and interpretation of multiple statistical tests to evaluate validity of dietary intake assessment methods.

Authors:  Martani J Lombard; Nelia P Steyn; Karen E Charlton; Marjanne Senekal
Journal:  Nutr J       Date:  2015-04-22       Impact factor: 3.271

Review 8.  The Diet of Preschool Children in the Mediterranean Countries of the European Union: A Systematic Review.

Authors:  Luís Pereira-da-Silva; Carla Rêgo; Angelo Pietrobelli
Journal:  Int J Environ Res Public Health       Date:  2016-06-08       Impact factor: 3.390

9.  Validity of a Semi-Quantitative Food Frequency Questionnaire for Collegiate Athletes.

Authors:  Ayaka Sunami; Kazuto Sasaki; Yoshio Suzuki; Nobuhide Oguma; Junko Ishihara; Ayumi Nakai; Jun Yasuda; Yuri Yokoyama; Takahiro Yoshizaki; Yuki Tada; Azumi Hida; Yukari Kawano
Journal:  J Epidemiol       Date:  2016-02-20       Impact factor: 3.211

10.  Reproducibility and Relative Validity of a Short Food Frequency Questionnaire in 9-10 Year-Old Children.

Authors:  Pouya Saeedi; Sheila A Skeaff; Jyh Eiin Wong; Paula M L Skidmore
Journal:  Nutrients       Date:  2016-05-07       Impact factor: 5.717

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