Evidence map›Paper›PMID 28879834›Full record

ArticlePublic health nutrition2017

Prospective associations between dietary patterns and body composition changes in European children: the IDEFICS study.

Juan Miguel Fernández-Alvira, Karin Bammann, Gabriele Eiben, Antje Hebestreit, Yannis A Kourides, Eva Kovacs, Nathalie Michels, Valeria Pala, Lucia Reisch, Paola Russo and 3 more

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In one paragraph

Article in Public health nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Children's behaviour and childhood obesity.Pediatric endocrinology, diabetes, and metabolism · 2024
    Review
  9. Article
  10. Article
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  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Nutritional Management in Childhood Obesity.Journal of obesity & metabolic syndrome · 2019
    Review
  20. Observational
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

13 authors.

Juan Miguel Fernández-Alvira1GENUD (Growth,Exercise,NUtrition and Development) Research Group, Faculty of Health Sciences,University of Zaragoza,Edificio del SAI,C/Pedro Cerbuna s/n,50009 Zaragoza,Spain.
Karin Bammann3Institute for Public Health and Nursing Sciences (IPP),University of Bremen,Bremen,Germany.
Gabriele Eiben4Department of Public Health and Community Medicine,Public Health Epidemiology Unit (EPI),Sahlgrenska Academy,University of Gothenburg,Gothenburg,Sweden.
Antje Hebestreit5Leibniz Institute for Prevention Research and Epidemiology - BIPS,Bremen,Germany.
Yannis A Kourides6Research and Education Institute of Child Health,Strovolos,Cyprus.
Eva Kovacs7Institute for Medical Information Processing,Biometrics and Epidemiology and German Center for Vertigo and Balance Disorders,Ludwig-Maximilians-University,Munich,Germany.
Nathalie Michels8Department of Public Health,Ghent University,Ghent,Belgium.
Valeria Pala9Department of Preventive and Predictive Medicine,Epidemiology Unit,Fondazione IRCCS Istituto Nazionale dei Tumori,Milan,Italy.
Lucia Reisch10Copenhagen Business School,Copenhagen,Denmark.
Paola Russo11Institute of Food Sciences,National Research Council,Avellino,Italy.
Tomas Veidebaum12Department of Chronic Diseases,National Institute for Health Development,Tallinn,Estonia.
Luis A Moreno1GENUD (Growth,Exercise,NUtrition and Development) Research Group, Faculty of Health Sciences,University of Zaragoza,Edificio del SAI,C/Pedro Cerbuna s/n,50009 Zaragoza,Spain.
Claudia Börnhorst5Leibniz Institute for Prevention Research and Epidemiology - BIPS,Bremen,Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe dietary patterns by applying cluster analysis and to describe the cluster memberships of European children over time and their association with body composition changes.

designThe analyses included k-means clustering based on the similarities between the relative frequencies of consumption of forty-three food items and regression models were fitted to assess the association between dietary patterns and body composition changes.

settingPrimary schools and pre-schools of selected regions in Italy, Estonia, Cyprus, Belgium, Sweden, Hungary, Germany and Spain. SUBJECTS: Participants (n 8341) in the baseline (2-9 years old) and follow-up (4-11 years old) surveys of the IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS) study.

resultsThree persistent clusters were obtained at baseline and follow-up. Children consistently allocated to the 'processed' cluster presented increased BMI (β=0·050; 95 % CI 0·006, 0·093), increased waist circumference (β=0·071; 95 % CI 0·001, 0·141) and increased fat mass gain (β=0·052; 95 % CI 0·014, 0·090) over time v. children allocated to the 'healthy' cluster. Being in the 'processed'-'sweet' cluster combination was also linked to increased BMI (β=0·079; 95 % CI 0·015, 0·143), increased waist circumference (β=0·172; 95 % CI 0·069, 0·275) and increased fat mass gain (β=0·076; 95 % CI 0·019, 0·133) over time v. the 'healthy' cluster.

conclusionsChildren consistently showing a processed dietary pattern or changing from a processed pattern to a sweet pattern presented the most unfavourable changes in fat mass and abdominal fat. These findings support the need to promote overall healthy dietary habits in obesity prevention and health promotion programmes targeting children.

Indexed as

Body CompositionDietWhite PeopleBody Mass IndexChildChild, PreschoolEuropeFemaleFollow-Up StudiesHealth BehaviorHumansMaleProspective StudiesSocioeconomic FactorsSurveys and QuestionnairesWaist CircumferenceBody compositionChildrenCluster analysisDietary patternsIDEFICSProspective analysis

Identifiers

PMID28879834
PMCPMC10261439

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.