Evidence map›Paper›PMID 26384645›Full record

ArticleBMC public health2015

Individual and family environmental correlates of television and computer time in 10- to 12-year-old European children: the ENERGY-project.

Maïté Verloigne, Wendy Van Lippevelde, Elling Bere, Yannis Manios, Éva Kovács, Monika Grillenberger, Lea Maes, Johannes Brug, Ilse De Bourdeaudhuij

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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  4. Article
  5. Observational
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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

9 authors.

Maïté VerloigneDepartment of Movement and Sport Sciences, Ghent University, Ghent, Belgium. maite.verloigne@ugent.be.
Wendy Van LippeveldeDepartment of Public Health, Ghent University, Ghent, Belgium. wendy.vanlippevelde@ugent.be.
Elling BereDepartment of Public Health, Sport and Nutrition, University of Agder, Kristiansand, Norway. elling.bere@uia.no.
Yannis ManiosDepartment of Nutrition and Dietetics, School of Health Science & Education, Harokopio University, Athens, Greece. manios@hua.gr.
Éva KovácsDepartment of Paediatrics, University of Pécs, Pécs, Hungary. kovacs.eva.katalin@pte.hu.
Monika GrillenbergerMax Rubner-Institut, Federal Research Institute of Nutrition and Food, Karlsruhe, Germany. mgrillenberger@web.de.
Lea MaesDepartment of Public Health, Ghent University, Ghent, Belgium. lea.maes@ugent.be.
Johannes BrugDepartment of Epidemiology and Biostatistics and the EMGO Institute for Health & Care Research, VU University Medical Center, Amsterdam, The Netherlands. j.brug@vumc.nl.
Ilse De BourdeaudhuijDepartment of Movement and Sport Sciences, Ghent University, Ghent, Belgium. ilse.debourdeaudhuij@ugent.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim was to investigate which individual and family environmental factors are related to television and computer time separately in 10- to-12-year-old children within and across five European countries (Belgium, Germany, Greece, Hungary, Norway).

methodsData were used from the ENERGY-project. Children and one of their parents completed a questionnaire, including questions on screen time behaviours and related individual and family environmental factors. Family environmental factors included social, political, economic and physical environmental factors. Complete data were obtained from 2022 child-parent dyads (53.8 % girls, mean child age 11.2 ± 0.8 years; mean parental age 40.5 ± 5.1 years). To examine the association between individual and family environmental factors (i.e. independent variables) and television/computer time (i.e. dependent variables) in each country, multilevel regression analyses were performed using MLwiN 2.22, adjusting for children's sex and age. RESULTS AND DISCUSSION: In all countries, children reported more television and/or computer time, if children and their parents thought that the maximum recommended level for watching television and/or using the computer was higher and if children had a higher preference for television watching and/or computer use and a lower self-efficacy to control television watching and/or computer use. Most physical and economic environmental variables were not significantly associated with television or computer time. Slightly more individual factors were related to children's computer time and more parental social environmental factors to children's television time. We also found different correlates across countries: parental co-participation in television watching was significantly positively associated with children's television time in all countries, except for Greece. A higher level of parental television and computer time was only associated with a higher level of children's television and computer time in Hungary. Having rules regarding children's television time was related to less television time in all countries, except for Belgium and Norway.

conclusionsMost evidence was found for an association between screen time and individual and parental social environmental factors, which means that future interventions aiming to reduce screen time should focus on children's individual beliefs and habits as well parental social factors. As we identified some different correlates for television and computer time and across countries, cross-European interventions could make small adaptations per specific screen time activity and lay different emphases per country.

Indexed as

ComputersFamily RelationsHealth Knowledge, Attitudes, PracticeParentsSocial EnvironmentTelevisionBelgiumChildCross-Sectional StudiesEnvironmentFemaleGermanyGreeceHumansHungaryMale

Identifiers

PMID26384645
PMCPMC4574577

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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.