Evidence map›Paper›PMID 20814697›Full record

ArticleEuropean journal of pediatrics2011

Individual and social predictors of screen-viewing among Spanish school children.

Itziar Hoyos Cillero, Russell Jago, Simon Sebire

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European journal of pediatrics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  7. Understanding differences between summer vs. school obesogenic behaviors of children: the structured days hypothesis.The international journal of behavioral nutrition and physical activity · 2017
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  10. Review
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  17. Predictors and health consequences of screen-time change during adolescence--1993 Pelotas (Brazil) birth cohort study.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2012
    Article
  18. Temporal trends and recent correlates in sedentary behaviours in Chinese children.The international journal of behavioral nutrition and physical activity · 2011
    Article
  19. Article
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

3 authors.

Itziar Hoyos CilleroNursing I Department, Nursing University School, University of Basque Country, Barrio Sarriena s/n, Leioa 48940 Biscay, Spain. itziar.hoyos@ehu.es
Russell Jago
Simon Sebire

Funding

Department of Health CDF-2009-02-14
6 · The paper itself

Abstract

Many children exceed suggested screen-viewing guidelines and this is likely to be a risk factor for obesity. Understanding the predictors of screen-viewing may be the first step in designing interventions that target these behaviours, but there is lack of information on predictors among Spanish children. This study examined associations between individual, friend and family based social variables and screen-viewing behaviours, and how these associations differ by age and gender in a sample of Spanish children. Participants were 247 primary school-aged and 256 secondary school-aged children and their parents. Children reported time spent in screen-viewing and information about individual and friend and family based social variables. Body mass index was assessed and children were classified using International Obesity Task Force cut-off points. Parents reported sociodemographic characteristics and family co-viewing practices. Lower self-efficacy for reducing screen-viewing (console playing p < 0.05; overall p < 0.01), stronger sedentary group-norms (TV p < 0.001; console playing p < 0.05; overall p < 0.05) and stronger social reasons (console playing p < 0.05) were associated with higher screen-viewing. For younger children, parental screen-viewing rules appeared to be significant predictors while family co-viewing practices were significant predictors for older children. Older children (TV p < 0.001; console playing p < 0.01; overall p < 0.001) and males (TV p < 0.01; console playing p < 0.001; overall p < 0.01) were likely to spend more time screen-viewing. Individual and social factors influence children's screen-viewing and operate differently during childhood. Increasing self-efficacy may be important for screen-viewing based behaviour changes. Friends and parents play a central role, therefore understanding the dynamics of friends and targeting family influences may be critical to the success of interventions to reduce screen-viewing.

Indexed as

ComputersSelf EfficacyTelevisionAdolescentAge FactorsChildFemaleHumansIndividualityMaleObesityParentsSex FactorsSocial EnvironmentSpainSurveys and Questionnaires

Identifiers

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.