Evidence map›Paper›PMID 28208650›Full record

ArticleNutrients2017

Dietary Patterns of European Children and Their  Parents in Association with Family Food  Environment: Results from the I.Family Study.

Antje Hebestreit, Timm Intemann, Alfonso Siani, Stefaan De Henauw, Gabriele Eiben, Yiannis A Kourides, Eva Kovacs, Luis A Moreno, Toomas Veidebaum, Vittorio Krogh and 5 more

Abstract read
In one paragraph

Article in Nutrients, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

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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.

Antje HebestreitLeibniz-Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany. helen.bogl@helsinki.fi.
Timm IntemannLeibniz-Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany. helen.bogl@helsinki.fi.
Alfonso SianiInstitute of Food Sciences, National Research Council, 83100 Avellino, Italy. asiani@isa.cnr.it.
Stefaan De HenauwDepartment of Public Health, Ghent University, 9000 Ghent, Belgium. stefaan.dehenauw@ugent.be.
Gabriele EibenDepartment of Public Health and Community Medicine, University of Gothenburg, 40530 Gothenburg, Sweden. gabriele.eiben@medfak.gu.se.
Yiannis A KouridesResearch and Education Institute of Child Health, 2035 Strovolos, Cyprus. kourides@cytanet.com.cy.
Eva KovacsInstitute for Medical Information Processing, Biometrics and Epidemiology, Ludwig-Maximilians-Universität München, 81377 Munich, Germany. eva.kovacs@med.uni.
Luis A MorenoGENUD (Growth, Exercise, Nutrition and Development) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y Nutrición (CIBERObn), University of Zaragoza, 50009 Zaragoza, Spain. lmoreno@unizar.es.
Toomas VeidebaumDepartment of Chronic Diseases, National Institute for Health Development, 11619 Tallinn, Estonia. toomas.veidebaum@tai.ee.
Vittorio KroghDepartment of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy. helen.bogl@helsinki.fi.
Valeria PalaDepartment of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy. helen.bogl@helsinki.fi.
Leonie H BoglLeibniz-Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany. asiani@isa.cnr.it.
Monica HunsbergerDepartment of Public Health and Community Medicine, University of Gothenburg, 40530 Gothenburg, Sweden. monica.hunsberger@gu.se.
Claudia BörnhorstLeibniz-Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany. helen.bogl@helsinki.fi.
Iris PigeotLeibniz-Institute for Prevention Research and Epidemiology-BIPS, 28359 Bremen, Germany. helen.bogl@helsinki.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to determine whether an association exists between children's  and  parental  dietary  patterns  (DP),  and  whether  the  number  of  shared  meals  or  soft  drink  availability  during  meals  strengthens  this  association.  In  2013/2014  the  I.Family  study  cross-sectionally assessed the dietary intakes of families from eight European countries using 24-h  dietary recalls. Usual energy and food intakes from six- to 16-year-old children and their parents  were estimated based on the NCI Method. A total of 1662 child-mother and 789 child-father dyads  were included; DP were derived using cluster analysis. We investigated the association between  children's and parental DP and whether the number of shared meals or soft drink availability  moderated this association using mixed effects logistic regression models. Three DP comparable in  children and parents were obtained: Sweet & Fat, Refined Cereals, and Animal Products. Children  were more likely to be allocated to the Sweet & Fat DP when their fathers were allocated to the  Sweet & Fat DP and when they shared at least one meal per day (OR 3.18; 95% CI 1.84; 5.47). Being  allocated to the Sweet & Fat DP increased when the mother or the father was allocated to the Sweet  & Fat DP and when soft drinks were available (OR 2.78; 95% CI 1.80; 4.28 or OR 4.26; 95% CI 2.16;  8.41, respectively). Availability of soft drinks and negative parental role modeling are important  predictors of children's dietary patterns.

Indexed as

DietFeeding BehaviorParent-Child RelationsWhite PeopleAdolescentAdultCarbonated BeveragesChildCluster AnalysisCross-Sectional StudiesDietary FatsDiet, HealthyEducational StatusEuropeFathersFemaleDietary FatsNutritive Sweetenerschildhood obesitycluster analysisfamily resemblancefood consumptionshared mealssoft drink

Identifiers

PMID28208650
PMCPMC5331557

What OpenQuestion holds

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Registered trials

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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.