Evidence map›Paper›PMID 23286734›Full record

ArticlePublic health nutrition2014

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

Silvia Bel-Serrat, Theodora Mouratidou, Valeria Pala, Inge Huybrechts, Claudia Börnhorst, Juan Miguel Fernández-Alvira, Charalampos Hadjigeorgiou, Gabriele Eiben, Antje Hebestreit, Lauren Lissner and 5 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Public health nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 3 pooled it
8.8field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 3 syntheses or guidelines pooled it, 109 citations in OpenAlex.

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  3. The Diet of Preschool Children in the Mediterranean Countries of the European Union: A Systematic Review.International journal of environmental research and public health · 2016
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16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 9 institutions in 7 countries.

Silvia Bel-Serrat1 Growth, Exercise, Nutrition and Development (GENUD) Research Group, Faculty of Health Sciences, University of Zaragoza, Corona de Aragón 42, 2nd floor, 50009 Zaragoza, Spain.
Theodora Mouratidou1 Growth, Exercise, Nutrition and Development (GENUD) Research Group, Faculty of Health Sciences, University of Zaragoza, Corona de Aragón 42, 2nd floor, 50009 Zaragoza, Spain.
Valeria Pala2 Department of Preventive and Predictive Medicine, Nutritional Epidemiology Unit, Fondazione IRCSS Istituto Nazionale dei Tumori, Milan, Italy.
Inge Huybrechts3 Department of Public Health, Ghent University, Ghent, Belgium.
Claudia Börnhorst4 BIPS - Institute for Epidemiology and Prevention Research, University of Bremen, Bremen, Germany.
Juan Miguel Fernández-Alvira1 Growth, Exercise, Nutrition and Development (GENUD) Research Group, Faculty of Health Sciences, University of Zaragoza, Corona de Aragón 42, 2nd floor, 50009 Zaragoza, Spain.
Charalampos Hadjigeorgiou5 Research and Education Institute for Child Health, Strovolos, Cyprus.
Gabriele Eiben6 Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden.
Antje Hebestreit4 BIPS - Institute for Epidemiology and Prevention Research, University of Bremen, Bremen, Germany.
Lauren Lissner6 Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden.
Dénes Molnár7 Department of Pediatrics, Medical Faculty, University of Pécs, Pécs, Hungary.
Alfonso Siani8 Unit of Epidemiology and Population Genetics, Institute of Food Sciences, CNR, Avellino, Italy.
Toomas Veidebaum9 National Institute for Health Development, Center of Health and Behavioral Science, Tallinn, Estonia.
Vittorio Krogh2 Department of Preventive and Predictive Medicine, Nutritional Epidemiology Unit, Fondazione IRCSS Istituto Nazionale dei Tumori, Milan, Italy.
Luis A Moreno1 Growth, Exercise, Nutrition and Development (GENUD) Research Group, Faculty of Health Sciences, University of Zaragoza, Corona de Aragón 42, 2nd floor, 50009 Zaragoza, Spain.
Universidad de Zaragoza · ESFondazione IRCCS Istituto Nazionale dei Tumori · ITUniversity of Gothenburg · SEGhent University · BEInstitute of Food Science · ITLeibniz Institute for Prevention Research and Epidemiology - BIPS · DENational Institute for Health Development · EEUniversity of Bremen · DEUniversity of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo 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).

designEstimates 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.

settingKindergartens/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).

resultsThe 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.

conclusionsThe 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.

Indexed as

Feeding BehaviorSurveys and QuestionnairesChildChild, PreschoolCross-Sectional StudiesDiet RecordsEnergy IntakeEuropeFemaleHumansLife StyleMaleMental RecallReproducibility of ResultsWhite People

Identifiers

PMID23286734
PMCPMC10282422
OpenAlexW2165327856

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.